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.)
ChatGPT:
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.
ChatGPT:
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
ChatGPT:
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
ChatGPT:
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.)
ChatGPT:
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
ChatGPT:
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
ChatGPT:
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.)
ChatGPT:
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.
ChatGPT:
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.
ChatGPT:
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.
ChatGPT:
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.