Prompt Title: Mental illness and comorbidity.

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Human: please summarize the below into points for a PowerPoint presentation for a journal club presentation (The temporal relationship between severe mental illness diagnosis and chronic physical comorbidity: a UK primary care cohort study of disease burden over 10 years Introduction It is well established that individuals with severe mental illness, including schizophrenia, bipolar disorder, and other non-organic psychotic illness, have increased prevalences of a range of chronic physical health problems.1,2 These health issues contribute to the reduced life expectancy of people with severe mental illness.3 The 2019 Lancet Psychiatry Commission on physical health in people with mental illness outlined the need to “focus not only on ‘adding years to life’ but also on ‘adding life to years’—specifically by preventing and reducing the incidence and impact of chronic health conditions”.2 To achieve this aim, it is necessary to understand the temporal relationship between severe mental illness and physical health diagnoses. Knowledge of which physical conditions frequently develop before diagnosis of a severe mental illness and which are more common after diagnosis is crucial because it will provide information about the necessary timing of potential preventive or treatment interventions. For example, physical conditions that develop in advance of the severe mental illness diagnosis might be prodrome or lifestyle related, or might share common antecedents with severe mental illness. However, providing preventive interventions for these comorbidities is not possible unless they are delivered at a population level or in a service catering for patients at high risk or prodromal patients. Knowing which physical conditions are more prevalent at the point of severe mental illness diagnosis would potentially allow for screening and intervention, if suitable early-intervention services were developed.4 After diagnosis of a severe mental illness, physical health problems might be additionally related to the course of the illness itself, drug treatment for the illness, and the further accrual of lifestyle risk factors. Interventions aimed at modifiable lifestyle risk factors in people with established severe mental illness have been less effective than in the general population;5 however, this might be because a crucial period for intervention has been missed. Drug treatments for severe mental illness, including secondgeneration antipsychotics, antidepressants, lithium, and anticonvulsants, have adverse effects that are associated with multiple physical health conditions that might develop only after the diagnosis of a severe mental illness has been made and treatment has been initiated.6,7 Patterns of these physical conditions by severe mental illness subtype might be different because of differences in genetic vulnerability, illness course, lifestyle risk factors, and drug treatment. Previous studies have focused on the period after the diagnosis of a severe mental illness2 or the year before severe mental illness diagnosis,8,9 with only one study covering the 5 years before schizophrenia diagnosis.10 However, this study did not compare the prevalence of physical health conditions in people with schizophrenia with a group of people without schizophrenia, and it did not examine other severe mental illness subtypes. The vast majority of the existing literature examines cardiometabolic comorbidity.2 Furthermore, the onset and accumulation of multiple conditions in people with severe mental illness have not been described, yet multimorbidity carries an additional burden compared with comorbidity and is more complex to treat. We aimed to determine the cumulative prevalence of 24 chronic physical conditions in people with schizophrenia, bipolar disorder, and other psychotic illness from 5 years before to 5 years after their severe mental illness diagnosis. We also examined the annual odds of receiving a new physical condition diagnosis in people with severe mental illness compared with those without.)
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Slide 1: Introduction

  • Severe mental illness (SMI) linked to increased prevalence of chronic physical health problems
  • Understanding temporal relationship between SMI and physical health diagnoses is crucial
  • Aim to improve life quality by preventing and reducing chronic health conditions

Slide 2: Importance of Temporal Relationship

  • Determines necessary timing for preventive/treatment interventions
  • Identifies conditions that develop before or after SMI diagnosis
  • Helps in development of screening and intervention strategies

Slide 3: Factors Affecting Physical Health in SMI

  • Course of illness, drug treatments, and lifestyle risk factors
  • Drug treatments can have adverse effects associated with physical health conditions
  • Differences in genetic vulnerability, illness course, and lifestyle risk factors across SMI subtypes

Slide 4: Previous Studies Limitations

  • Focus on the period after SMI diagnosis or one year before
  • Limited scope (e.g., cardiometabolic comorbidity)
  • Lack of comparison between people with and without SMI

Slide 5: Study Aims

  • Examine cumulative prevalence of 24 chronic physical conditions in schizophrenia, bipolar disorder, and other psychotic illnesses
  • Analyze 5 years before and 5 years after SMI diagnosis
  • Compare annual odds of receiving a new physical condition diagnosis in people with and without SMI
Human: Evidence before this study The Lancet Psychiatry Commission: a blueprint for protecting physical health in people with mental illness produced a metareview of all literature on the association between severe mental illness and chronic physical health conditions. The Commission identified 30 systematic reviews of physical illness in severe mental illness, 18 of which were on cardiometabolic disorders. It found increased risk of all cardiometabolic disorders and asthma, reduced risk of rheumatic disease, and mixed evidence on cancer risk in people with severe mental illness. The Commission also identified that the understanding of multimorbidity in severe mental illness is a knowledge gap. However, the studies included in the Commission did not generally examine the order of onset of severe mental illness and physical health problems. From a systematic search of PubMed, PsycINFO, and Embase for research articles published between Jan 1, 1980, and April 21, 2022, we could only identify a small number of studies that examined the temporal relationship between severe mental illness diagnosis and physical condition onset. We used the search terms “severe mental illness”, “serious mental illness”, “schizophrenia”, “schizoaffective disorder”, “bipolar disorder”, “psychosis”, and terms for 24 physical health outcomes, based on the Charlson and Elixhauser comorbidity indices: “asthma”, “chronic obstructive pulmonary disease”, “cardiac arrhythmia”, “congestive heart failure”, “myocardial infarction”, “cerebrovascular” disease, “neurological disorder”, “cancer”, “diabetes”, “hypothyroidism”, “liver disease”, “renal disease”, “peptic ulcer”, “rheumatic disease”, “paresis”, “paralysis”, “HIV”, “AIDS”, “hypertension”, “peripheral vascular disease”, “pulmonary circulation disorders”, “valvular disease”, “anaemia”, “coagulopathy”, “fluid disorders”, and “electrolyte disorders”. We also used search terms for “Charlson”, “Elixhauser”, “comorbidity”, and “multimorbidity”. No language restriction was applied. We identified two studies of the Taiwanese population that found increased risk of chronic conditions across the cardiovascular, respiratory, gastrointestinal, endocrine, and metabolic systems in the year before diagnosis of schizophrenia or bipolar disorder. A US cohort study found similar increases up to 5 years before schizophrenia diagnosis. Added value of this study This study describes the temporal relationship between first recorded diagnosis of schizophrenia, bipolar disorder, and other non-organic psychotic illness and 24 chronic health conditions from 5 years before to 5 years after severe mental illness diagnosis. 5 years before diagnosis, people with schizophrenia had increased odds of three conditions, people with bipolar disorder 12 conditions, and people with other psychoses ten conditions compared with the matched cohort. At diagnosis, people with schizophrenia had increased odds of five chronic health conditions compared with the matched cohort, and individuals with bipolar disorder and other psychoses had increased odds of 15 conditions. By 5 years after diagnosis of a severe mental illness, this number had increased to 13 conditions for schizophrenia, 19 for bipolar disorder, and 16 for other psychoses. Patients with schizophrenia frequently had lower odds of receiving a chronic physical condition diagnosis than the matched cohort, suggesting underrecording in this subgroup. At the date of receiving a schizophrenia diagnosis, cardiac arrhythmias, myocardial infarction, cancer, renal disease, peptic ulcer, rheumatic disease, hypertension, peripheral vascular disease, and valvular disease were recorded less frequently than would be expected. This study therefore highlights when intervention is necessary to tackle the excess morbidity observed in the patients with a severe mental illness. Implications of all the available evidence The mortality gap between people with severe mental illness and the general population has widened in the past 20 years, despite targeted attempts to address it. The elevated risk of several chronic physical conditions at the point of diagnosis of a severe mental illness (and the 5 years before it) suggests that preventive efforts are needed earlier in this population to have an impact on disease burden and mortality. Chronic health problems should not be viewed as the inevitable result of psychotropic medication and long-term health risk factors. We need to consider early intervention for physical health as well as mental health in this population.
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Slide 1: Evidence Before This Study

  • Lancet Psychiatry Commission: meta-review of SMI and chronic physical health conditions
  • Knowledge gap: order of onset of SMI and physical health problems
  • Limited studies on the temporal relationship between SMI diagnosis and physical condition onset

Slide 2: Previous Studies

  • Increased risk of chronic conditions across multiple systems before schizophrenia or bipolar disorder diagnosis
  • Increases observed up to 5 years before schizophrenia diagnosis

Slide 3: Added Value of This Study

  • Temporal relationship between SMI (schizophrenia, bipolar disorder, and other psychoses) and 24 chronic health conditions
  • Increased odds of conditions before diagnosis: 3 for schizophrenia, 12 for bipolar disorder, 10 for other psychoses
  • Number of increased odds conditions after 5 years: 13 for schizophrenia, 19 for bipolar disorder, 16 for other psychoses

Slide 4: Under-recording in Schizophrenia Subgroup

  • Patients with schizophrenia had lower odds of receiving a chronic physical condition diagnosis
  • Possible under-recording of certain conditions at the time of schizophrenia diagnosis

Slide 5: Implications of the Study

  • Mortality gap between SMI patients and the general population has widened
  • Preventive efforts needed earlier in SMI patients to reduce disease burden and mortality
  • Importance of early intervention for physical and mental health in SMI population
Human: Can you clarify 1st slide points
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Slide 1: Evidence Before This Study

  • Lancet Psychiatry Commission conducted a meta-review on SMI and chronic physical health condition associations
  • Identified 30 systematic reviews, with 18 focused on cardiometabolic disorders
  • Found increased risk of cardiometabolic disorders and asthma, reduced risk of rheumatic disease, and mixed evidence on cancer risk in people with SMI
  • Recognition of a knowledge gap in understanding multimorbidity in SMI, especially regarding the order of onset of SMI and physical health problems
  • Few studies found through systematic search of PubMed, PsycINFO, and Embase that examined the temporal relationship between SMI diagnosis and physical condition onset
Human: continue with slide 2,3,4 and 5
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Slide 2: Previous Studies and Limitations

  • Studies on Taiwanese population found increased risk of chronic conditions in various systems (cardiovascular, respiratory, gastrointestinal, endocrine, and metabolic) before diagnosis of schizophrenia or bipolar disorder
  • A US cohort study observed similar increases up to 5 years before schizophrenia diagnosis
  • Limited number of studies examining the temporal relationship between SMI diagnosis and physical condition onset

Slide 3: Current Study's Contributions

  • Examines the temporal relationship between SMI diagnoses (schizophrenia, bipolar disorder, other psychoses) and 24 chronic health conditions
  • Analyzes 5 years before and 5 years after SMI diagnosis
  • Finds increased odds of conditions before diagnosis: 3 for schizophrenia, 12 for bipolar disorder, 10 for other psychoses
  • Reports increased odds of conditions after 5 years: 13 for schizophrenia, 19 for bipolar disorder, 16 for other psychoses

Slide 4: Under-recording in Schizophrenia Subgroup

  • Schizophrenia patients often had lower odds of receiving a chronic physical condition diagnosis compared to the matched cohort
  • Suggests possible under-recording of certain conditions at the time of schizophrenia diagnosis

Slide 5: Study Implications and Recommendations

  • Mortality gap between SMI patients and the general population has increased
  • Need for earlier preventive efforts in SMI population to reduce disease burden and mortality
  • Focus on early intervention for both physical and mental health in SMI population to address excess morbidity
Human: (Methods Study design and participants In this cohort study, we identified patients from the UK Clinical Practice Research Datalink (CPRD) Gold and Aurum11,12 databases. These databases contain electronic medical records of more than 16 million people registered at UK primary care practices (approximately 24% of the UK population). The patients within the databases are broadly representative of the UK population in terms of age, sex, region, and ethnicity. We identified patients in the CPRD with a first diagnosis of severe mental illness between Jan 1, 2000, and Dec 31, 2018, via medical codes for schizophrenia, bipolar disorder, or other non-affective psychotic illnesses, as recorded in primary care (code lists are in the appendix pp 5–157).1 These diagnoses will have been made by psychiatrists in secondary care using ICD criteria and communicated to primary care physicians. Where patients had more than one severe mental illness diagnosis during the study period, we took the most recent because this diagnosis was likely to represent the most accurate given a more complete clinical history. We retained the first date of any severe mental illness as the date of diagnosis. We excluded patients diagnosed before age 18 years, those older than 100 years at the beginning of the study, or those who were diagnosed after exiting the cohort. Matching was carried out by CPRD before we received the data from them. Each patient with severe mental illness was matched with up to four individuals in CPRD without severe mental illness, and individuals were matched by sex, 5-year age band, primary care practice, and year of primary care practice registration. These comparator individuals were assigned an index date equal to the date of diagnosis of the severe mental illness in the patient to whom they were matched. Approval for this study was obtained from the Independent Scientific Advisory Committee of CPRD (protocol number 18_288). CPRD obtains annual research ethics approval from the UK Health Research Authority Research Ethics Committee (East Midlands— Derby Research Ethics Committee reference number 05/MRE04/87) to receive and supply patient data for public health research. Therefore, no additional ethics approval was required for this study.)
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Slide 6: Methods - Study Design and Participants

  • Cohort study using UK Clinical Practice Research Datalink (CPRD) Gold and Aurum databases
  • Databases contain electronic medical records of over 16 million people (representative of the UK population)
  • Identified patients with first SMI diagnosis (schizophrenia, bipolar disorder, or other non-affective psychotic illnesses) between Jan 1, 2000, and Dec 31, 2018
  • Excluded patients diagnosed before age 18 or after age 100, or those diagnosed after exiting the cohort
  • Each SMI patient was matched with up to four individuals without SMI (by sex, 5-year age band, primary care practice, and year of primary care practice registration)

Slide 7: Ethics and Approvals

  • Study approval obtained from the Independent Scientific Advisory Committee of CPRD (protocol number 18_288)
  • CPRD receives annual research ethics approval from the UK Health Research Authority Research Ethics Committee (East Midlands—Derby Research Ethics Committee reference number 05/MRE04/87)
  • No additional ethics approval required for this study
Human: can you add more details for each slide to help me to explain to audience but not to include in slides
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Slide 1: Background (Additional details)

  • The Lancet Psychiatry Commission conducted a meta-review to assess the relationship between severe mental illnesses (SMIs) and chronic physical health conditions.
  • The review highlighted the need to further understand multimorbidity in SMI, specifically the order of onset between SMI and physical health problems.
  • Existing studies have not thoroughly investigated the temporal relationship between SMI diagnoses and the onset of physical conditions.

Slide 2: Previous Studies and Limitations (Additional details)

  • The Taiwanese population studies and the US cohort study found an increased risk of chronic conditions in several systems before the diagnosis of schizophrenia or bipolar disorder.
  • The limited number of existing studies highlights the need for more research in this area to better understand the temporal relationship between SMI and physical health problems.

Slide 3: Current Study's Contributions (Additional details)

  • The study investigates the temporal relationship between SMI diagnoses and 24 chronic health conditions.
  • The analysis spans from 5 years before diagnosis to 5 years after diagnosis, providing a more comprehensive understanding of the progression of these conditions in relation to SMI.

Slide 4: Under-recording in Schizophrenia Subgroup (Additional details)

  • The study found that schizophrenia patients often had lower odds of receiving a chronic physical condition diagnosis compared to the matched cohort.
  • This finding suggests that certain physical conditions might be under-recorded or under-diagnosed in patients with schizophrenia.

Slide 5: Study Implications and Recommendations (Additional details)

  • The mortality gap between people with SMI and the general population has widened despite targeted efforts to address it.
  • The elevated risk of several chronic physical conditions at the point of SMI diagnosis (and in the 5 years before) suggests the need for earlier preventive measures to reduce disease burden and mortality.
  • It is essential to consider early intervention for both physical and mental health in this population to tackle the excess morbidity observed in patients with SMI.
Human: continue
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Slide 6: Methods - Study Design and Participants (Additional details)

  • The cohort study utilizes the UK Clinical Practice Research Datalink (CPRD) Gold and Aurum databases, which are comprehensive and representative of the UK population.
  • Researchers identified patients with a first SMI diagnosis by examining medical codes for schizophrenia, bipolar disorder, or other non-affective psychotic illnesses recorded in primary care.
  • The most recent diagnosis was considered the most accurate when patients had more than one SMI diagnosis during the study period.
  • Matching patients with SMI to individuals without SMI in the study allowed for better comparisons and understanding of the relationship between SMI and chronic health conditions.

Slide 7: Ethics and Approvals (Additional details)

  • The Independent Scientific Advisory Committee of CPRD granted approval for this study, ensuring that it adhered to ethical guidelines and standards.
  • The UK Health Research Authority Research Ethics Committee (East Midlands—Derby Research Ethics Committee) provides annual research ethics approval to CPRD to receive and supply patient data for public health research.
  • The existing ethics approval ensures that the study's use of patient data aligns with ethical considerations, patient privacy, and data protection regulations.
Human: please summarize the below into points for a PowerPoint presentation for a journal club presentation with added clarification points for each slide and adding points to help me to explain to audience but not to include in slides (Procedures We examined 24 physical health outcomes, which were based on the Charlson and Elixhauser comorbidity indices.13 These outcomes were asthma, chronic obstructive pulmonary disease, cardiac arrhythmia, congestive heart failure, myocardial infarction, cerebrovascular disease, neurological disorders (including epilepsy, multiple sclerosis, Parkinson’s disease, and seizures, but excluding cerebrovascular disease and dementia), cancer, diabetes (type 1 or 2), hypothyroidism, liver disease, renal disease, peptic ulcers, rheumatic and collagen diseases, paralysis or paresis, HIV/AIDS, hypertension, peripheral vascular disease, pulmonary circulation disorders, valvular disease, deficiency anaemia, blood loss anaemia, coagulopathy, and fluid or electrolyte disorders. Code lists for these conditions are available in the appendix (pp 5–157).1 Outcomes Cumulative prevalence of these 24 chronic physical health comorbidities was examined cross-sectionally at 5 years, 3 years, and 1 year before severe mental illness diagnosis, at the point of diagnosis, and 1 year, 3 years, and 5 years after diagnosis. We also examined how the total number of these conditions changed for individuals over the same period.)
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Slide 8: Procedures - Physical Health Outcomes

  • Examined 24 physical health outcomes based on Charlson and Elixhauser comorbidity indices
  • Conditions include asthma, COPD, cardiac arrhythmia, CHF, MI, cerebrovascular disease, neurological disorders, cancer, diabetes, hypothyroidism, liver disease, renal disease, peptic ulcers, rheumatic diseases, paralysis/paresis, HIV/AIDS, hypertension, PVD, pulmonary circulation disorders, valvular disease, deficiency anaemia, blood loss anaemia, coagulopathy, fluid/electrolyte disorders

Slide 9: Outcomes - Cumulative Prevalence and Changes

  • Cumulative prevalence of 24 chronic physical health comorbidities examined at different time points (5 years, 3 years, 1 year before SMI diagnosis; at diagnosis; 1 year, 3 years, 5 years after diagnosis)
  • Analyzed changes in the total number of conditions for individuals over the same period

Additional details for Slide 8:

  • The Charlson and Elixhauser comorbidity indices are widely used tools for measuring and adjusting for comorbidities in research studies, which can help understand the relationship between SMI and physical health.
  • By examining a wide range of physical health outcomes, the study aims to provide a comprehensive understanding of the physical health burden faced by people with SMI.

Additional details for Slide 9:

  • The study focuses on understanding the temporal relationship between SMI diagnosis and the development of physical health comorbidities.
  • Analyzing the changes in the total number of conditions over time can provide insights into the progression of multimorbidity in people with SMI and inform potential interventions.
Human: Statistical analysis Covariates of interest included age at index date, sex, ethnicity, calendar year of index date, and geographical region of primary care practice. We grouped ethnicity as Asian, Black, mixed, White, or other. Where ethnicity data were missing, individuals were coded as White, in line with previous research.1,14 Our previous work has shown multiple imputation of ethnicity results in similar physical health condition estimates.1 We calculated the prevalence of each chronic physical health comorbidity relative to the date of severe mental illness diagnosis at the timepoints already mentioned. We also calculated the total number of physical comorbidities people had at these timepoints. In each case, the denominator was the number of patients alive and available for follow-up at that timepoint. We used logistic regression to compare the prevalence of individual comorbidities in patients who had a severe mental illness with those who did not. Sandwich SEs were applied to account for potential clustering by primary care practice. We adjusted for key variables,determined a priori due to their likelihood to confound the relationship between severe mental illness and prevalence of disease: age, sex, ethnicity, index date calendar year, and primary care practice region. We then did a subgroup analysis to divide the severe mental illness cohort by severe mental illness diagnosis. These groups were schizophrenia, bipolar disorder, and other non-organic psychotic illness. We did not adjust for multiple comparisons.15 We conducted data analysis in Stata 16, R (version 4.1.2), and RStudio 2021.09.2.
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Slide 10: Statistical Analysis - Covariates

  • Covariates: age at index date, sex, ethnicity, calendar year of index date, geographical region of primary care practice
  • Ethnicity grouped as Asian, Black, mixed, White, or other
  • Missing ethnicity data coded as White

Slide 11: Statistical Analysis - Prevalence and Logistic Regression

  • Calculated prevalence of each chronic physical health comorbidity relative to SMI diagnosis date at specified timepoints
  • Calculated total number of physical comorbidities at these timepoints
  • Logistic regression to compare prevalence of individual comorbidities between patients with and without SMI
  • Adjusted for age, sex, ethnicity, index date calendar year, and primary care practice region
  • Sandwich SEs for potential clustering by primary care practice

Slide 12: Subgroup Analysis

  • Divided SMI cohort by diagnosis: schizophrenia, bipolar disorder, and other non-organic psychotic illness
  • No adjustment for multiple comparisons
  • Data analysis conducted in Stata 16, R (version 4.1.2), and RStudio 2021.09.2

Additional clarification points:

  • Using multiple covariates helps control for potential confounding factors and increases the accuracy of the results.
  • Logistic regression is a suitable method to compare the prevalence of comorbidities between groups and to adjust for potential confounding variables.
  • Sandwich SEs take into account the possible clustering effect of primary care practices on the results.
  • Subgroup analysis allows for understanding the differences in physical health comorbidities among the various types of SMI diagnoses.
Human: Role of the funding source The funder of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report.
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Slide 13: Role of the Funding Source

  • Funder had no role in study design, data collection, data analysis, data interpretation, or report writing

Additional clarification points:

  • The independence of the funding source ensures that there is no bias or influence on the study results and conclusions.
  • This statement reinforces the credibility and reliability of the research findings.
Human: Results We identified 68 789 people who received a diagnosis of severe mental illness between Jan 1, 2000, and Dec 31, 2018 (including 15 034 [21·7%] with schizophrenia, 24 423 [35·5%] with bipolar disorder, and 29 332 [42·6%] with other non-organic psychoses) and 274 827 matched individuals (table 1). In both cohorts taken together, the median age was 40·90 years (IQR 29·46–56·00), 175 138 (50·97%) of 343 616 people were male, and 168 478 (49·03%) were female (table 1). When stratified by severe mental illness diagnosis, people with a diagnosis of schizophrenia were more likely than those with bipolar disorder to be male and younger (table 1). Patients with severe mental illness were more likely than those in the matched cohort to be obese or a current smoker at the time of diagnosis (table 1). 59 867 (87·03%) patients with a severe mental illness and 244 566 (88·99%) people in the matched cohort were of White ethnicity. Patients with schizophrenia were more likely to be of Black (1359 [9·04%] vs 8566 [3·12%]) or Asian (1030 [6·85%] vs 13 536 [4·93%]) ethnicity than comparators, whereas those with bipolar disorder were more likely to be of White ethnicity (22 443 [91·89%] vs 244 566 [88·99%]). Throughout the 10-year follow up, 7599 (11·05%) patients with severe mental illness and 19 385 (7·05%) comparators died. At the time of first recorded severe mental illness diagnosis, 29 812 (43·04%) people with a severe mental illness had at least one chronic physical health problem (compared with 105 247 [38·15%] matched comparators figure 1). The most prevalent conditions were asthma (10 581 [15·38%] of 68 789 patients), hypertension (8696 [12·64%]), diabetes (4897 [7·12%]), neurological disease (3484 [5·06%]), and hypothyroidism (2871 [4·17%]; table 2). In the 38 285 patients with severe mental illness alive and available for follow-up at 5 years after that diagnosis, these prevalences had increased to 6920 (18·07%) for asthma, 6891 (18·00%) for hypertension, 5312 (13·87%) for diabetes, 2738 (7·15%) for neurological disease, and 2932 (7·66%) for hypothyroidism (table 2). At 5 years after diagnosis, 21 727 (56·75%) people with severe mental illness had one or more physical health condition (compared with 71 489 [47·42%] of 150 733 people in the matched cohort; figure 1; appendix p 1). The biggest increases in prevalence between diagnosis and 5 years after diagnosis were in renal disease (113·31% increase from 2046 [2·97%] of 68 789 people to 2429 [6·34%] of 38 285 people), fluid and electrolyte disorders (104·16% increase from 778 [1·13%] to 884 [2·31%]), diabetes (94·90% increase from 4897 [7·12%] to 5312 [13·87%]), hypothyroidism (83·49% increase from 2871 [4·17%] to 2932 [7·66%]), and chronic obstructive pulmonary disease (71·40% increase from 1563 [2·27%] to 1491 [3·89%]; table 2). At the time of schizophrenia diagnosis, patients had elevated odds of five of 24 physical health conditions compared with matched individuals (figure 2; appendix p 2). Nine of 24 physical conditions were diagnosed less frequently in patients with schizophrenia than in matched individuals at this timepoint. At 5 years after diagnosis, individuals with schizophrenia had elevated odds of 13 conditions. Conditions with most elevated odds ratios by 5 years after schizophrenia diagnosis were neurological disease (adjusted odds ratio 2·89, 95% CI 2·63–3·16), diabetes (2·10, 1·96–2·26), liver disease (1·80, 1·55–2·10), chronic obstructive pulmonary disease (1·66, 1·46–1·89), and pulmonary circulation disorders (1·58, 1·23–2·03). Individuals with bipolar disorder had increased odds of 15 of the 24 chronic conditions at the point of bipolar disorder diagnosis (figure 2; appendix pp 2–4). Unlike patients with schizophrenia, they did not have reduced odds of any condition compared to the comparator population. At 5 years after bipolar disorder diagnosis, they had elevated odds of 19 chronic conditions. The most elevated odds at this time were hypothyroidism (adjusted OR 2·68, 95% CI 2·52–2·85), neurological disease (2·58, 2·39–2·79), fluid and electrolyte conditions (2·29, 2·04–2·58), diabetes (2·04, 1·93–2·15), and paralysis or paresis (1·92, 1·58–2·33). Individuals in the other psychosis group had elevated odds of 15 physical conditions and reduced odds of two conditions at the point of diagnosis (figure 2; appendix pp 2–4). At 5 years after diagnosis, they had elevated odds of 16 conditions. At this timepoint, neurological disease (adjusted OR 3·60, 95% CI 3·36–3·86), paralysis or paresis (2·30, 1·91–2·77), fluid and electrolyte conditions (1·99, 1·78–2·22), liver disease (1·93, 1·72–2·17), and cerebrovascular disease (1·74, 1·60–1·90) were the conditions with the most elevated odds in people with other psychotic illness compared with the comparator population.
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Slide 14: Results - Patient Demographics

  • 68,789 people with severe mental illness
    • Schizophrenia: 15,034 (21.7%)
    • Bipolar disorder: 24,423 (35.5%)
    • Other non-organic psychoses: 29,332 (42.6%)
  • 274,827 matched individuals
  • Median age: 40.90 years

Slide 15: Results - Prevalence of Physical Health Conditions

  • At diagnosis, 43.04% with SMI had at least one chronic physical health problem
  • Most prevalent conditions: asthma, hypertension, diabetes, neurological disease, hypothyroidism
  • Prevalence increased after 5 years

Slide 16: Results - Increases in Prevalence

  • Biggest increases between diagnosis and 5 years after:
    • Renal disease: 113.31%
    • Fluid and electrolyte disorders: 104.16%
    • Diabetes: 94.90%
    • Hypothyroidism: 83.49%
    • COPD: 71.40%

Slide 17: Results - Schizophrenia Group

  • Elevated odds of 5 of 24 physical health conditions at diagnosis
  • 13 conditions with elevated odds at 5 years after diagnosis
  • Most elevated odds: neurological disease, diabetes, liver disease, COPD, pulmonary circulation disorders

Slide 18: Results - Bipolar Disorder Group

  • Elevated odds of 15 of 24 chronic conditions at diagnosis
  • 19 conditions with elevated odds at 5 years after diagnosis
  • Most elevated odds: hypothyroidism, neurological disease, fluid and electrolyte conditions, diabetes, paralysis or paresis

Slide 19: Results - Other Psychosis Group

  • Elevated odds of 15 physical conditions and reduced odds of 2 conditions at diagnosis
  • 16 conditions with elevated odds at 5 years after diagnosis
  • Most elevated odds: neurological disease, paralysis or paresis, fluid and electrolyte conditions, liver disease, cerebrovascular disease

Additional clarification points:

  • Prevalence of physical health conditions was higher in individuals with severe mental illness than in matched comparators.
  • The prevalence of physical health conditions increased over time in all groups, with some conditions showing particularly large increases.
  • Different severe mental illness diagnoses were associated with different patterns of physical health comorbidities.
Human: Discussion People with severe mental illness are at an elevated risk of a range of chronic physical health problems. These conditions differ by severe mental illness subtype and by timing relative to the diagnosis. By the point of a diagnosis being recorded, people with bipolar disorder and other psychotic illness have elevated odds of more than half of the chronic conditions that we studied, compared with matched individuals. In the population with schizophrenia, odds were less commonly elevated compared with the matched cohort and were reduced for several chronic conditions. Therefore, it is likely that these conditions—namely, cardiac arrhythmias, myocardial infarction, cancer, renal disease, peptic ulcer, rheumatic disease, hypertension, peripheral vascular disease, and valvular disease—are underdiagnosed at the point of schizophrenia diagnosis. This is despite evidence that health-care use in the 5 years before a diagnosis of schizophrenia is increased10 and that people with schizophrenia have more lifestylerelated risk factors.1 There is no biological mechanism by which schizophrenia would be protective for these conditions (although this has previously been suggested for cancer).16 This discrepancy might therefore be driven by under-investigation or diagnostic overshadowing, which is more common in this severe mental illness subtype.17 Some of the chronic conditions with elevated odds ratios at the point of severe mental illness diagnosis are potentially amenable to intervention. In the UK, the National Institute for Health and Care Excellence recommends monitoring of cardiovascular disease, diabetes, obesity, and respiratory disease.18 However, it does not make specific recommendations about health monitoring in early-intervention services, and data suggest that at the end of 2021 only about 35% of people on the UK primary care severe mental illness register received annual health checks.19 Services that target this patient population at an early stage might be necessary to reduce the premature morbidity and mortality observed.20 Importantly, UK initiatives monitored by the National Clinical Audit of Psychosis have overall found modest improvements in the health of individuals under the care of early-intervention services in the past 10 years.21 Our findings suggest that a broader scope of interventions to improve physical health might be necessary. We found that several conditions that are commonly associated with the accrual of risk factors over long time periods were more frequent at the point of severe mental illness diagnosis. Chronic obstructive pulmonary disease, which is strongly associated with a greater than 20 packyear smoking history,22 was associated with increased odds at diagnosis in all subtypes of severe mental illness. Diabetes, which is typically diagnosed 4–7 years after its onset,23 was present in 9% of the severe mental illness population. Increased rates of liver disease, particularly metabolic dysfunction-associated fatty liver disease, have previously been attributed to the adverse effects of psychotropic medication,24 but in our study, relative odds of liver disease were elevated before severe mental illness diagnosis. Several conditions were relatively more common in the severe mental illness group even 5 years before severe mental illness diagnosis. These included asthma (bipolar disorder and other psychoses only), neurological conditions (all severe mental illnesses), diabetes (bipolar disorder only), hypothyroidism (bipolar disorder only), liver disease (all severe mental illnesses), peptic ulcer (bipolar disorder and other psychoses), paralysis (all severe mental illness), HIV (bipolar disorder and other psychoses), pulmonary circulation disorders (bipolar disorder only), deficiency anaemia (other psychoses only), and fluid or electrolyte disorders (bipolar disorder only). These findings suggest that several physical health problems develop long before severe mental illness diagnosis and are not, at that time, solely related to psychotropic medication. Some of these conditions are associated with increased risk of developing severe mental illness; for example, there is good evidence that neurological conditions,25 and some evidence that asthma and hypothyroidism,26,27 are associated with later severe mental illness. There is also evidence for a familial liability for these conditions.26–28 The increased prevalences of some conditions could be due to risk factors for poor physical health, such as inactivity, obesity, and smoking being present before diagnosis. Several studies have found elevated prevalence of smoking in the prodromal period and before this period.29 Another study found that people with a first-episode psychosis were more than eight times as likely to have a history of substance misuse in the 5 years before than matched controls.30 In our study, even at the time of diagnosis, the prevalence of both obesity and smoking was higher in people with severe mental illness than in matched individuals. Some chronic conditions became increasingly common in the severe mental illness population compared with the matched cohort over the 10-year period of follow-up. These conditions include chronic obstructive pulmonary disease, asthma, congestive heart failure, cerebrovascular disease, neurological disease, diabetes, hypothyroidism, renal disease, pulmonary circulation disorders, hypertension, deficiency anaemias, and fluid or electrolyte disorders. This might be due to increased monitoring in the severe mental illness population, increasing effects of risk factors, or adverse effects of medication. There were particular increases in a number of conditions associated with medication side-effects after severe mental illness diagnosis: diabetes, hypothyroidism, renal disease, and hypertension.7,31 To our knowledge, this is the first large-scale longitudinal study of multiple physical health conditions during the 5 years before and after severe mental illness diagnosis. The cohort is likely to be representative of the UK population with severe mental illness, and the size allowed us to study rare physical health conditions. We were able to compare patients who had severe mental illness with individuals from the same primary care practice without severe mental illness, matched by age, sex, and year of registration. We also adjusted for these covariates in regression models. This improved relative estimates of odds of physical health problems in severe mental illness compared with using the unmatched general population. We did not attempt to investigate the cause of the increased prevalence of physical health conditions in people with severe mental illness and therefore did not account for factors such as smoking or body-mass index, which are potentially on the causal pathway for many of these conditions. The comparator population is likely to be less healthy than the general population, and this is reflected in their high rate of morbidity and mortality (at the index date, 38% had one or more chronic physical conditions and 7% died during follow-up). Our results therefore accurately reflect the additional health inequalities experienced by people with severe mental illness at times relative to their severe mental illness diagnosis. The age at which a severe mental illness diagnosis was first entered in primary care records in our cohort was older than expected, given the established epidemiology of severe mental illness. In our cohort, the median age of first coding was 38 years for schizophrenia and 42 years for bipolar disorder and other psychoses, whereas other UK and Nordic studies have found 30 years to be the median age of first contact with services.32,33 This age discrepancy suggests that there might have been delays in recording severe mental illness, and there might therefore similarly have been delays in recording physical health conditions in primary care records. It is also possible that there is differential diagnosis of physical health conditions by severe mental illness subtype, which reflects the complexity and illness burden of the condition and the potential for diagnostic overshadowing or underinvestigation. For example, it has been found in numerous studies that schizophrenia is associated with lower rates of cancer diagnosis than seen in the general population, despite the elevated cancer risk factors being present in people with schizophrenia.16 This could mean we underestimate the true prevalence and incorrectly label the start date of the conditions studied. However, health conditions will be recorded in primary care records once identified and must be coded for appropriate intervention to take place. Our study therefore describes the opportunity to intervene once conditions have been diagnosed. There is the potential for residual or unmeasured confounding in the adjusted ORs we present; in particular, there might be confounding by socioeconomic status. Individual-level socioeconomic status is not available in CPRD, and area-level deprivation measures are only available for some of the population. We sought to overcome this limitation by matching patients within the same primary care practice. There is also the potential for under-recording of diagnostic information in the primary care record if a diagnosis is made in secondary care, and this might vary by condition; however, we would not expect this to vary between the severe mental illness and non-severe mental illness groups. Recording might also vary by primary care practice and year. We have managed this variability by accounting for these parameters in our analysis. We did not stratify results by other variables because this was outside the scope of this analysis, given the large number of conditions studied. It is likely that rates of physical disease differ by sex, age, and ethnicity, and further research to identify people at highest risk of specific health conditions within the severe mental illness population is warranted. We did not adjust for multiple comparisons because we considered our study descriptive in nature and believed that this approach would lead to fewer errors of interpretation when the data under evaluation were not random numbers but actual observations.15 If we are to positively affect the incidence and disability burden of chronic physical health problems in people with severe mental illness, interventions need to start early. Chronic physical health problems should not be viewed as the inevitable result of psychotropic medication’s adverse effects and long-term health risk factors such as poor diet, smoking, or drug or alcohol misuse, because many of these conditions are present at the point of severe mental illness diagnosis first being recorded. Potentially, interventions targeted at improving the physical health of people with severe mental illness have been initiated too late relative to disease progression, and we need to consider early intervention for physical health as well as mental health in this population.
ChatGPT:

This study highlights that people with severe mental illness are at a higher risk of developing various chronic physical health problems. These risks differ based on the type of mental illness and the timing relative to diagnosis. People with bipolar disorder and other psychotic illnesses have higher odds of having over half of the chronic conditions studied compared to matched individuals. However, in people with schizophrenia, the odds of having certain chronic conditions are less elevated or even reduced, suggesting possible under-diagnosis.

Some chronic conditions with higher odds at the point of severe mental illness diagnosis are potentially treatable. In the UK, there are recommendations for monitoring cardiovascular disease, diabetes, obesity, and respiratory disease in individuals with severe mental illness. However, data from 2021 showed that only about 35% of people on the UK primary care severe mental illness register received annual health checks. Early intervention services might be necessary to reduce premature morbidity and mortality in this population.

This study is the first large-scale longitudinal study of multiple physical health conditions during the 5 years before and after severe mental illness diagnosis. The findings suggest that some physical health problems develop long before severe mental illness diagnosis and are not solely related to psychotropic medication. Interventions targeting physical health should start early, and there should be a focus on early intervention for physical health as well as mental health in people with severe mental illness.

Human: please summarize my previous entry into points for a PowerPoint presentation for a journal club presentation with added clarification points for each slide and adding points to help me to explain to audience but not to include in slides
ChatGPT:

Slide 1: Introduction

  • People with severe mental illness have higher risk of chronic physical health problems.
  • Risk varies based on mental illness subtype and timing relative to diagnosis.

Slide 2: Study Objectives

  • Investigate physical health conditions 5 years before and after severe mental illness diagnosis.
  • Compare patients with severe mental illness to matched individuals without severe mental illness.

Slide 3: Key Findings (Part 1)

  • Higher odds of having chronic conditions in bipolar disorder and other psychotic illnesses.
  • Potential under-diagnosis of certain chronic conditions in schizophrenia patients.

Slide 4: Key Findings (Part 2)

  • Some physical health problems develop long before severe mental illness diagnosis.
  • Many of these conditions are not solely related to psychotropic medication.

Slide 5: Implications

  • Early intervention services are necessary for both physical and mental health.
  • Monitoring recommendations should be implemented more consistently.

Slide 6: Study Strengths and Limitations

  • First large-scale longitudinal study of multiple physical health conditions.
  • Potential limitations include age discrepancy in diagnosis, potential confounding factors, and lack of individual-level socioeconomic status data.

Clarification Points (for discussion, not to be included on slides):

  • Slide 1: Emphasize the importance of understanding the relationship between severe mental illness and physical health problems to improve patient care.
  • Slide 2: Explain that the study used data from the UK Clinical Practice Research Datalink (CPRD).
  • Slide 3: Discuss how under-diagnosis in schizophrenia patients might result from diagnostic overshadowing or under-investigation.
  • Slide 4: Provide examples of conditions that develop before severe mental illness diagnosis, such as asthma, neurological conditions, and liver disease.
  • Slide 5: Mention that in 2021, only about 35% of people on the UK primary care severe mental illness register received annual health checks.
  • Slide 6: Address the potential impact of limitations on the study results and suggest areas for further research.
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