Second-generation antipsychotic medications and risk of chronic kidney disease in schizophrenia: population-based nested case-control study

Albuminuria and Mental Illness Risk: Results From National Health and Nutrition Examination Survey 2005-2018 and Mendelian Randomization Analyses

BACKGROUND

Recent evidence suggests a link between albuminuria and mental illness. However, whether this association is stable, and its specific mechanisms remain unclear.

METHODS

The cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. Weighted multivariable-adjusted logistic regression, subgroup analysis, interaction tests, and restricted cubic spline (RCS) were conducted to assess the correlation between albuminuria and the risk of mental illness (depression). Subsequently, two-sample Mendelian randomization analyses were performed to investigate the relationship between albuminuria and various mental illnesses (anxiety disorder, persistent delusional disorder, schizophrenia, schizotypal personality disorder, panic disorder, post-traumatic stress disorder [PTSD], obsessive-compulsive disorder, bipolar I disorder, bipolar II disorder, depression, autism, social anxiety disorder).

RESULTS

Albuminuria was consistently found to have a significant association with the risk of depression, regardless of its classification as a continuous or outcome variable. A positive correlation was found between albuminuria and depression in different age groups, gender, race, education attainment, and those with hypertension, coronary heart disease, and diabetes. Further, there is a positive correlation between albuminuria and the occurrence of schizophrenia and persistent delusional disorder.

CONCLUSION

There is a close association between albuminuria and mental illness, with albuminuria being a risk factor for schizophrenia and persistent delusional disorder. Further research is needed to establish the specific connections.

A novel machine learning methodology for the systematic extraction of chronic kidney disease comorbidities from abstracts

Background

Chronic Kidney Disease (CKD) is a global health concern and is frequently underdiagnosed due to its subtle initial symptoms, contributing to increasing morbidity and mortality. A comprehensive understanding of CKD comorbidities could lead to the identification of risk-groups, more effective treatment and improved patient outcomes. Our research presents a two-fold objective: developing an effective machine learning (ML) workflow for text classification and entity relation extraction and assembling a broad list of diseases influencing CKD development and progression.

Methods

We analysed 39,680 abstracts with CKD in the title from the Embase library. Abstracts about a disease affecting CKD development and/or progression were selected by multiple ML classifiers trained on a human-labelled sample. The best classifier was further trained with active learning. Disease names in question were extracted from the selected abstracts using a novel entity relation extraction methodology. The resulting disease list and their corresponding abstracts were manually checked and a final disease list was created.

Findings

The SVM model gave the best results and was chosen for further training with active learning. This optimised ML workflow enabled us to discern 68 comorbidities across 15 ICD-10 disease groups contributing to CKD progression or development. The reading of the ML-selected abstracts showed that some diseases have direct causal effect on CKD, while others, like schizophrenia, has indirect causal effect on CKD.

Interpretation

These findings have the potential to guide future CKD investigations, by facilitating the inclusion of a broader array of comorbidities in CKD prognostic models. Ultimately, our study enhances understanding of prognostic comorbidities and supports clinical practice by enabling improved patient monitoring, preventive strategies, and early detection for individuals at higher CKD development or progression risk.

Prevalence and risk factors for chronic kidney disease among older adult patients with schizophrenia in Taiwan

OBJECTIVES

There is an increasing incidence and prevalence of patients with chronic kidney disease (CKD) worldwide. Little is known the prevalence of CKD among older patients with schizophrenia. The purpose of this study was to investigate the prevalence of CKD and its risk factors in older adults with schizophrenia.

METHODS

In this cross-sectional study, a convenience sample of 240 patients with schizophrenia age 50 or older was recruited. In addition to demographic and clinical data, participants' estimated glomerular filtration rate was calculated using the Modification of Diet in Renal Disease equation based on age, sex, ethnicity, and serum creatinine level determined from a blood sample taken from participants.

RESULTS

The overall prevalence of CKD was 11.3%. Those with CKD were older, had a longer duration of psychiatric illness, a higher body mass index (BMI), and diagnoses of hypertension compared to those in the non-CKD group. Independent of other risk factors, older age and BMI were significantly associated with CKD.

CONCLUSIONS

This study found that the overall prevalence of CKD in older patients with schizophrenia was 11.3%. Independent risk factors for CKD in this population were older age and higher BMI. In addition to early identification and early treatment of CKD in older patients with schizophrenia, clinicians should actively manage the risk factors identified in this study.

Risk of renal impairment in atypical antipsychotics: a systematic review and meta-analysis

PURPOSE

Atypical antipsychotics are associated with several adverse effects including metabolic syndrome, weight gain, QTc interval prolongation, and extrapyramidal effects. This study aims to investigate the risk of renal impairment in patients receiving atypical antipsychotics.

METHODS

A systematic literature search was conducted via PubMed and Ovid SP and Web of Science to retrieve studies reporting the risk of renal impairment in patients receiving atypical antipsychotic treatment. The pooled risk ratio (RR) of renal impairment and the subgroup analysis was calculated using the random-effects generic inverse variance method in Cochrane Review Manager.

RESULTS

A total of 4 studies involving 514,710 patients (221, 873 patients on atypical antipsychotics/CKD and 292, 837 controls) were included in this meta-analysis. Patients on atypical antipsychotics exhibited an increased risk of renal impairment, with a pooled risk ratio of 1.34 (95%CI 1.23-1.47). Subgroup analysis demonstrated that atypical antipsychotic use was associated with an increased risk of both acute kidney injury (AKI) (RR 1.51, 95%CI 1.34-1.71) and chronic kidney disease (CKD) (RR: 1.23, 95%CI 1.12-1.35).

CONCLUSION

Patients receiving atypical antipsychotics have an increased risk of renal impairment. Quetiapine carries the highest risk of renal impairment encompassing both AKI and CKD.

Chronic kidney disease and severe mental illness: a scoping review

BACKGROUND

People who have severe mental illness experience higher rates of long-term conditions and die on average 15-20 years earlier than people who do not have severe mental illness, a phenomenon known as the mortality gap. Long-term conditions, such as diabetes, impact health outcomes for people who have severe mental illness, however there is limited recognition of the relationship between chronic kidney disease and severe mental illness. Therefore, the aim of this scoping review was to explore the available evidence on the relationship between chronic kidney disease and severe mental illness.

METHODS

Electronic databases, including MEDLINE, Embase, CINAHL, and PsycINFO were searched. The database searches were limited to articles published between January 2000-January 2022, due to significant progress that has been made in the detection, diagnosis and treatment of both SMI and CKD. Articles were eligible for inclusion if they explored the relationship between SMI and CKD (Stages 1-5) in terms of prevalence, risk factors, clinical outcomes, and access to treatment and services. Severe mental illness was defined as conditions that can present with psychosis, including schizophrenia, schizoaffective disorder, bipolar disorder, and other psychotic disorders. Thirty articles were included in the review.

RESULTS

The included studies illustrated that there is an increased risk of chronic kidney disease amongst people who have severe mental illness, compared to those who do not. However, people who have severe mental illness and chronic kidney disease are less likely to receive specialist nephrology care, are less likely to be evaluated for a transplant, and have higher rates of mortality.

CONCLUSION

In conclusion, there is a dearth of literature in this area, but the available literature suggests there are significant health inequalities in kidney care amongst people who have severe mental illness. Further research is needed to understand the factors that contribute to this relationship, and to develop strategies to improve both clinical outcomes and access to kidney care.

Risk of dialysis and renal diseases in patients with anorexia nervosa in Taiwan

OBJECTIVE

To investigate the incidence and risk of renal-related complications in a nationwide cohort of Taiwanese patients with anorexia nervosa (AN).

METHOD

This longitudinal cohort study analyzed the data of 43,951 individuals-comprising 2091 patients with AN and their controls matched (1:20) using propensity scores according to sex, age, degree of urbanization of residence, socioeconomic status, and year of diagnosis-from a population-based health insurance database; the study lasted 16 years. We used Kaplan-Meier curves to estimate the cumulative incidence of renal events. We also performed Cox proportional regression and constructed a risk model with death as a competing event (both adjusted for basic characteristics, renal diseases, and psychiatric comorbidities) to examine the risk of dialysis and renal outcomes in the AN group relative to the control group.

RESULTS

In total, 204 and 10 patients with AN had renal-related outcomes and end-stage renal disease (ESRD), respectively. The cumulative incidence rates of all renal outcomes and ESRD in the AN group were 10.72% and .64%, respectively, at 10-year follow-up. Compared with the control group, the AN group had a significantly higher risk of acute dialysis (adjusted hazard ratio 2.10 [95% confidence interval 1.19-3.68]), hypokalemia, hypovolemia, nephritis, acute renal failure, and chronic renal failure. The AN group did not have a significantly higher risk of ESRD.

DISCUSSION

The elevated risks of acute dialysis and some renal outcomes in AN highlight the importance of monitoring electrolyte imbalance and renal malfunctioning.

PUBLIC SIGNIFICANCE

Malnutrition and purging behaviors may cause renal complications in patients with AN. In this longitudinal cohort study, we found that the 10-year cumulative incidence of all renal outcomes in AN was 10.72%, and that patients with AN had a two-fold higher risk of overall renal outcomes compared with those without AN. Our findings imply that weight restoration and ceasing purging behaviors are crucial for recovery from AN.

Psychotropic Drugs and Adverse Kidney Effects: A Systematic Review of the Past Decade of Research

BACKGROUND AND OBJECTIVE

Psychotropic drugs are a heterogenous group of treatments prescribed for many psychiatric disorders, often for long periods. Their effects on the kidney and its functioning are complex and a source of significant research and debate. This article aims to review recent evidence of the acute and chronic kidney adverse events of diverse psychotropes.

METHODS

A systematic search of randomized controlled trials and large observational studies (n ≥ 100) reporting the effects of psychotropic drugs on the kidney was conducted. The MEDLINE, PsycInfo, and EMBASE databases from 2011 to 2021, inclusive, were broadly searched with few restrictions and no prespecified outcomes. Two or more independent reviewers assessed and summarized all eligible studies, including risks of bias and levels of evidence.

RESULTS

In all, 1999 abstracts were screened for eligibility and 47 articles were included, which examined lithium (33), antiepileptics (10), antipsychotics (13), and antidepressants (9). No studies examining kidney adverse effects of other psychotropes, such as benzodiazepines, met inclusion criteria. Study populations were adult (8), geriatric (9), and mixed (30). Lithium was almost unanimously associated with (1) chronic kidney disease and (2) nephrogenic diabetes insipidus in methodologically diverse studies. The most supported risk factors for declining kidney functioning with lithium were advanced age, duration of lithium treatment, acute lithium toxicity, female sex, medications with known renal interactions, diabetes mellitus/hyperglycemia, and overall medical comorbidity. Supratherapeutic lithium concentrations are both the causes and consequences of acute kidney injury. Once significant chronic kidney disease has developed, four studies found that replacing lithium with other mood stabilizers does not slow progression, and the evolution to end-stage kidney disease is rare overall with modern practices. Compared to lithium, fewer studies examined antipsychotics and antiepileptics but found relatively less direct kidney harms. Antidepressants were not associated with acute or chronic kidney harms.

CONCLUSIONS

Despite the heterogeneity of findings, owing to varying methodologies and research challenges, recent studies strongly suggest that lithium is associated with an increased risk of chronic kidney disease and nephrogenic diabetes insipidus, especially in older adults and long-term lithium users. Clinicians should balance the harms of lithium against its established benefits, and ensure adequate monitoring and management of comorbidities in all patients. Weaker evidence suggests that antiepileptics such as valproate and antipsychotics result in comparatively less harm to the kidney than lithium, but warrant monitoring because of multiple direct and indirect mechanisms for potential kidney adverse events. Antidepressants do not have clear kidney adverse effects and appear safe (though potentially less effective) in the setting of kidney disease. Other classes of psychotropic drugs have received little research interest. Further research is warranted, particularly into specific antiepileptics and antipsychotics, and careful attention should be paid to mitigating important sources of bias such as confounding by indication.

The Effects of Use of Long-Term Second-Generation Antipsychotics on Liver and Kidney Function: A Prospective Study

(1) Background: The second-generation antipsychotics (SGAPs) induce metabolic and inflammatory side effects, but documentation of their effects on the liver and kidneys is scarce. Aim: To study the three-year fluctuation of selected markers of renal and hepatic function in forensic psychiatric patients receiving SGAPs for more than five years. (2) Methods: Thirty-five forensic psychiatric patients (N = 35) were classified into two groups according to the type of SGAPs used for their treatment and the relevant risk of weight gain and metabolic complications. The three-year medication history, anthropometric data and biochemical data relevant to renal and hepatic function were retrieved from the individual medical files, specifically: serum levels of urea, uric acid, creatinine, alkaline phosphatase and amylase; the liver function enzymes, serum glutamic oxaloacetic transaminase (SGOT), serum glutamic pyruvic transaminase (SGPT) and gamma-glutamyl transpeptidase(γ-GT), and also the inflammatory index C-reactive protein (CRP). (3) Results: The patients receiving the SGAPs with a low risk for weight gain showed no significant fluctuation in the biochemical markers over the three-year period. The patients receiving the SGAPs with a high risk for weight gain showed significant differences between at least two measurements of uric acid (p = 0.015), SGOT (p = 0.018) and SGPT (p = 0.051). They showed significantly higher levels of creatinine in the third year compared to the second year (p = 0.029), and SGOT in the second year compared to the first (p = 0.038), and lower levels of SGPT in the third year compared to the second (p = 0.024). (4) Conclusion:In addition to consideration of possible metabolic and inflammatory complications, the choice of an antipsychotic drug for long-term treatment should also take into account the risk of hepatotoxicity and kidney damage.

New Insight Concerning Therapeutic Drug Monitoring-The Importance of the Concept of Psychonephrology

Recently, the concept of psychonephrology was developed and has been recognized as a field of study that focuses on nephrology and mental health fields, such as psychiatry and psychosomatic medicine. Indeed, patients with chronic kidney disease frequently suffer from mental problems as the disease stage progresses. Most psychotropic drugs are hepatically metabolized, but some are unmetabolized and eliminated renally. However, renal disease may affect the pharmacokinetics of many psychotropic drugs, as the decreased renal function not only delays the urinary excretion of the drug and its metabolites but also alters various pharmacokinetic factors, such as protein-binding, enterohepatic circulation, and activity of drug-metabolizing enzymes. Therefore, when prescribing drug therapy for patients with both renal disease and mental issues, we should consider reducing the dosage of psychotropic drugs that are eliminated mainly via the kidney and also carefully monitor the blood drug concentrations of other drugs with a high extrarenal clearance, such as those that are largely metabolized in the liver. Furthermore, we should carefully consider the dialyzability of each psychotropic drug, as the dialyzability impacts the drug clearance in patients with end-stage renal failure undergoing dialysis. Therapeutic drug monitoring (TDM) may be a useful tool for adjusting the dosage of psychotropic drugs appropriately in patients with renal disease. We herein review the pharmacokinetic considerations for psychotropic drugs in patients with renal disease as well as those undergoing dialysis and offer new insight concerning TDM in the field of psychonephrology.

Doxepin Exacerbates Renal Damage, Glucose Intolerance, Nonalcoholic Fatty Liver Disease, and Urinary Chromium Loss in Obese Mice

Doxepin is commonly prescribed for depression and anxiety treatment. Doxepin-related disruptions to metabolism and renal/hepatic adverse effects remain unclear; thus, the underlying mechanism of action warrants further research. Here, we investigated how doxepin affects lipid change, glucose homeostasis, chromium (Cr) distribution, renal impairment, liver damage, and fatty liver scores in C57BL6/J mice subjected to a high-fat diet and 5 mg/kg/day doxepin treatment for eight weeks. We noted that the treated mice had higher body, kidney, liver, retroperitoneal, and epididymal white adipose tissue weights; serum and liver triglyceride, alanine aminotransferase, aspartate aminotransferase, blood urea nitrogen, and creatinine levels; daily food efficiency; and liver lipid regulation marker expression. They also demonstrated exacerbated insulin resistance and glucose intolerance with lower Akt phosphorylation, GLUT4 expression, and renal damage as well as higher reactive oxygen species and interleukin 1 and lower catalase, superoxide dismutase, and glutathione peroxidase levels. The treated mice had a net-negative Cr balance due to increased urinary excretion, leading to Cr mobilization, delaying hyperglycemia recovery. Furthermore, they had considerably increased fatty liver scores, paralleling increases in adiponectin, FASN, PNPLA3, FABP4 mRNA, and SREBP1 mRNA levels. In conclusion, doxepin administration potentially worsens renal injury, nonalcoholic fatty liver disease, and diabetes.

Metabolic Effects of Aripiprazole and Olanzapine Multiple-Dose Treatment in a Randomised Crossover Clinical Trial in Healthy Volunteers: Association with Pharmacogenetics

Introduction

Aripiprazole and olanzapine are atypical antipsychotics. Both drugs can induce metabolic changes; however, the metabolic side effects produced by aripiprazole are more benign. The aim of the study was to evaluate if aripiprazole and olanzapine alter prolactin levels, lipid and glucose metabolism and hepatic, haematological, thyroid and renal function.

Methods

Twenty-four healthy volunteers received a daily oral dose of 10 mg aripiprazole and 5 mg olanzapine tablets for 5 days in a crossover randomised clinical trial and were genotyped for 51 polymorphisms in 18 genes by qPCR. Drug plasma concentrations were measured by LC–MS. The biochemical and haematological analyses were performed by enzymatic methods.

Results

Olanzapine induced hyperprolactinaemia but aripiprazole did not. Dopamine D3 receptor (DRD3) Ser/Gly and ATP binding cassette subfamily B member 1 (ABCB1) rs10280101, rs12720067 and rs11983225 polymorphisms and cytochrome P450 3A (CYP3A) phenotype had an impact on plasma prolactin levels. C-peptide concentrations were higher after aripiprazole administration and were influenced by catechol-O-methyltransferase (COMT) rs4680 and rs13306278 polymorphisms. Olanzapine and the UDP glucuronosyltransferase family 1 member A1 (UGT1A1) rs887829 polymorphism were associated with elevated glucose levels. CYP3A poor metabolizers had increased insulin levels. Volunteers’ weight decreased significantly during aripiprazole treatment and a tendency for weight gain was observed during olanzapine treatment. Triglyceride concentrations decreased as a result of olanzapine and aripiprazole treatment, and varied on the basis of CYP3A phenotypes and the apolipoprotein C-III (APOC3) rs4520 genotype. Cholesterol levels were also decreased and depended on 5-hydroxytryptamine receptor 2A (HTR2A) rs6314 polymorphism. All hepatic enzymes, platelet and albumin levels, and prothrombin time were altered during both treatments. Additionally, olanzapine reduced the leucocyte count, aripiprazole increased free T4 and both decreased uric acid concentrations.

Conclusions

Short-term treatment with aripiprazole and olanzapine had a significant influence on the metabolic parameters. However, it seems that aripiprazole provokes less severe metabolic changes.

Trial Registration

Clinical trial registration number (EUDRA-CT): 2018-000744-26

Graphical Abstract

Electronic Supplementary Material

The online version of this article (10.1007/s12325-020-01566-w) contains supplementary material, which is available to authorized users.

Risperidone Exacerbates Glucose Intolerance, Nonalcoholic Fatty Liver Disease, and Renal Impairment in Obese Mice

Risperidone, a second-generation antipsychotic drug used for schizophrenia treatment with less-severe side effects, has recently been applied in major depressive disorder treatment. The mechanism underlying risperidone-associated metabolic disturbances and liver and renal adverse effects warrants further exploration. This research explores how risperidone influences weight, glucose homeostasis, fatty liver scores, liver damage, and renal impairment in high-fat diet (HFD)-administered C57BL6/J mice. Compared with HFD control mice, risperidone-treated obese mice exhibited increases in body, liver, kidney, and retroperitoneal and epididymal fat pad weights, daily food efficiency, serum triglyceride, blood urea nitrogen, creatinine, hepatic triglyceride, and aspartate aminotransferase, and alanine aminotransferase levels, and hepatic fatty acid regulation marker expression. They also exhibited increased insulin resistance and glucose intolerance but decreased serum insulin levels, Akt phosphorylation, and glucose transporter 4 expression. Moreover, their fatty liver score and liver damage demonstrated considerable increases, corresponding to increases in sterol regulatory element-binding protein 1 mRNA, fatty acid-binding protein 4 mRNA, and patatin-like phospholipid domain containing protein 3 expression. Finally, these mice demonstrated renal impairment, associated with decreases in glutathione peroxidase, superoxide dismutase, and catalase levels. In conclusion, long-term administration of risperidone may exacerbate diabetes syndrome, nonalcoholic fatty liver disease, and kidney injury.

Second-generation antipsychotics and the risk of chronic kidney disease: a population-based case-control study

OBJECTIVES

To examine the association between use of second-generation antipsychotics (SGA) and the risk of chronic kidney disease (CKD).

DESIGN

Population-based case-control study.

SETTING

Routinely collected laboratory, prescription and diagnostic information on all inhabitants with creatinine measurements residing on the island of Funen, Denmark (2001 to 2015).

PARTICIPANTS

21 434 cases with incident CKD matched with 85 576 CKD-free population controls by risk-set sampling using age, sex and calendar year.

PRIMARY AND SECONDARY OUTCOME MEASURES

CKD was defined as an estimated glomerular filtration rate below 60 mL/min/1.73 m2 in a period longer than 3 months. Information on drug exposure and comorbidities were obtained from the Danish National Prescription Register and the Danish National Patient Register. We calculated OR for the association between SGA use and CKD using conditional logistic regression.

RESULTS

Use of SGAs was associated with increased risk of CKD among ever users (OR 1.24, 95% CI: 1.12 to 1.37) and current users (OR 1.26, 95% CI: 1.12 to 1.42). We found no clear evidence of dose-response relationship. Both short duration (one to two antipsychotic prescriptions; OR 1.22, 95% CI: 1.01 to 1.48) as well as long-term use (>30 prescriptions; OR 1.45, 95% CI 1.19 to 1.76) were associated with an increased risk of CKD. Both use of SGAs with mild and high risk of metabolic disturbances was associated with increased risk of CKD (OR 1.21, 95% CI: 1.06 to 1.39 and OR 1.36, 95% CI: 1.11 to 1.68, respectively). Recent use of non-steroidal anti-inflammatory drugs, prior use of lithium, hypertension or prior acute kidney injury were not clearly associated with development of CKD connected to SGA exposure. The highest risk of CKD was found for clozapine (OR 1.81, 95% CI: 1.22 to 2.69).

CONCLUSION

Use of SGA is associated with a small-to-moderately increased risk of incident CKD. All investigated SGAs, except for aripiprazole, were associated with an increased risk of CKD.

Comparison of 71 bipolar disorder pharmacotherapies for kidney disorder risk: The potential hazards of polypharmacy

BACKGROUND

This study compared the largest set of bipolar disorder pharmacotherapies to date (71 drugs and drug combinations) for risk of kidney disorders (KDs).

METHODS

This retrospective observational study used the IBM MarketScan® database to analyze data on 591,052 adults with bipolar disorder without prior nephropathy, for onset of KDs (of "moderate" or "high" severity) following psychopharmacotherapy (lithium, mood stabilizing anticonvulsants [MSAs], antipsychotics, antidepressants), or "No drug". Cox regression models included fixed pre-treatment covariates and time-varying drug exposure covariates to estimate the hazard ratio (HR) of each treatment versus "No drug".

RESULTS

Newly observed KD occurred in 14,713 patients. No regimen had significantly lower risk of KDs than "No drug". The HR estimates ranged 0.86-2.66 for "all" KDs and 0.87-5.30 for "severe" KDs. As additional drugs were combined to compare more complex polypharmacies, higher HRs were consistently observed. Most regimens containing lithium, MSAs, or antipsychotics had a higher risk than "No drug" (p < 0.05). The risk for "all" and "severe" KDs was highest respectively on monoamine oxidase inhibitors (MAOIs) (HR = 2.66, p = 5.73 × 10^-5), and a lithium-containing four-class combination (HR = 5.30, p = 2.46 × 10^-9). The HR for lithium monotherapy was 1.82 (p = 4.73 × 10^-17) for "severe" KDs.

LIMITATIONS

The limitations inherent for an observational study were non-randomized assignment of patients to treatment groups, non-standardization of diagnostic decisions, and non-uniform quality of data collection. No correction was made for medication dosage.

CONCLUSIONS

The findings support literature concerns about lithium nephrotoxicity and highlight the potential risks of MAOIs, MSAs, antipsychotics and psychotropic polypharmacy.

Mortality in schizophrenia: A study of verbal autopsy from cohorts of two rural communities of South India

BACKGROUND

Schizophrenia is a life-shortening disease. Although the rate of mortality of persons with schizophrenia in India is established to be more compared to that in the general population, there is a little exploration of the causes for the same.

AIM

The aim of this study is to explore the causes of death in two rural cohorts of schizophrenia.

MATERIALS AND METHODS

In-person interviews of primary caregivers of 53 deceased persons with schizophrenia were conducted using the World Health Organization's verbal autopsy 2014 instrument. Physician-based method was used to determine the causes of death.

RESULTS

Average age of 53 deceased schizophrenia patients was 50.45 ± 13.65 years with almost equal gender ratio. Just more than two-thirds of patients were married, just more than one-third are educated up to primary school and also had no formal education each. Noncommunicable diseases (NCDs) were the most common causes of death (30, 56.6%) in this sample, followed by communicable disease (7, 13.2%), and then unnatural deaths (suicide - 8, 15%, and road traffic accidents - 3, 5.6%).

CONCLUSIONS

It is the first study in India to explore the causes of death in schizophrenia. NCDs being the most common cause of death in schizophrenia suggests to the need of integration of schizophrenia care into general health care.