Literature DB >> 25628048

Is schizophrenia associated with an increased risk of chronic kidney disease? A nationwide matched-cohort study.

Nian-Sheng Tzeng1, Yung-Ho Hsu2, Shinn-Ying Ho3, Yu-Ching Kuo4, Hua-Chin Lee4, Yun-Ju Yin4, Hong-An Chen4, Wen-Liang Chen5, William Cheng-Chung Chu6, Hui-Ling Huang3.   

Abstract

OBJECTIVE: The impact of schizophrenia on vital diseases, such as chronic kidney disease (CKD), has not as yet been verified. This study aims to establish whether there is an association between schizophrenia and CKD.
DESIGN: A nationwide matched cohort study.
SETTING: Taiwan's National Health Insurance Research Database. PARTICIPANTS: A total of 2338 patients with schizophrenia, and 7014 controls without schizophrenia (1:3), matched cohort for sex, age group, geography, urbanisation and monthly income, between 1 January 2003 and 31 December 2007, based on the International Classifications of Disease Ninth Edition (ICD-9), Clinical Modification codes. PRIMARY AND SECONDARY OUTCOME MEASURES: After making adjustments for confounding risk factors, a Cox proportional hazards model was used to compare the risk of developing CKD during a 3-year follow-up period from the index date.
RESULTS: Of the 2338-subject case cohort, 163 (6.97%) developed a CKD, as did 365 (5.20%) of the 7014 control participants. Cox proportional hazards regression analysis revealed that patients with schizophrenia were more likely to develop CKD (HR=1.36, 95% CI 1.13 to 1.63; p<0.001). After adjusting for gender, age group, hypertension, diabetes mellitus, hyperlipidaemia, heart disease and non-steroid anti-inflammatory drugs (NSAIDs) usage, the HR for patients with schizophrenia was 1.25 (95% CI 1.04 to 1.50; p<0.05). Neither typical nor atypical antipsychotics was associated an increased risk of CKD in patients with schizophrenia.
CONCLUSIONS: The findings from this population-based retrospective cohort study suggest that schizophrenia is associated with a 25% increase in the risk of developing CKD within only a 3-year follow-up period. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  National Health Insurance Research Dataset; Schizophrenia; chronic kidney diseases; non-steroid anti-inflammatory drugs

Mesh:

Year:  2015        PMID: 25628048      PMCID: PMC4316552          DOI: 10.1136/bmjopen-2014-006777

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


To the best of our knowledge, this is the first published study to investigate the risk of patients with schizophrenia with chronic kidney disease (CKD) based on the population database. In a nationwide, matched cohort study, the selection bias could be minimised. Misclassification of diseases might exist in such claim data on the basis of the International Classifications of Disease Ninth Edition (ICD-9), Clinical Modification codes. A longer follow-up is needed to clarify the long-term risk for patients with schizophrenia developing CKD in this population.

Introduction

Schizophrenia, a chronic mental illness, has an approximately 1% lifetime prevalence in the global population,1 which results in marked behavioural disturbances and functional impairment.2 A higher risk for diabetes mellitus, hyperlipidaemia, obesity and consequent cardiovascular or cerebrovascular diseases has been noted in patients with schizophrenia, along with a higher mortality related to these diseases—as much as two to three times higher in comparison with the general population.3 However, whether other health problems, such as CKD, are related to schizophrenia is less discussed. A higher prevalence of CKD was found in developed countries, and identified risk factors include diabetes mellitus, hypertension and the use of various medications.4 Other medical or mental illnesses that could be contributing to CKD remain unknown. The Taiwan National Health Insurance Research Dataset (NHIRD) was used to establish whether there is an association between schizophrenia and CKD during a subsequent 3-year follow-up period, from the index date. The National Health Insurance (NHI) Programme was initiated in Taiwan in 1995, and as of June 2009 there were 22 928 190 people enrolled, exceeding 99% of Taiwan's population, who contracted with 97% of the medical providers in Taiwan.5 The diagnostic coding used for the NHI is according to the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) diagnostic criteria.6 Each diagnosis of schizophrenia or CKD was made by board-certified psychiatrists or nephrology specialists, and psychiatric experts from the Bureau of National Health Insurance randomly review the charts of 1 per 100 ambulatory cases, and 1 per 20 inpatient claimed cases, in order to verify the accuracy of the diagnosis.7 In addition, several Taiwan studies have demonstrated the high accuracy and validity of the diagnoses in the NHIRD.8–10

Methods

Database

This study used the NHIRD, which is released by the Taiwan National Health Insurance (NHI) programme. The NHIRD is open to scientists for research purposes and covers 99% of Taiwan's 23 million citizens. The research used the Longitudinal Health Insurance Database 2005 (LHID 2005), which consists of all the original claims data of one million beneficiaries selected from the total registry in 2005 for the analyses. There were no statistically significant differences in age and sex between the LHID and all enrollees. In order to protect individual privacy, the identities of individuals included in this database were all encrypted. The NHI medical claims database includes ambulatory care, inpatient care, outpatient care and prescription drugs. Patients’ diagnoses are coded using the ‘International Classification of Diseases, 9th Revision, Clinical Modification’ (ICD-9-CM).

Study population

We identified adult (≥18 years) patients with a first-time diagnosis of schizophrenia (ICD-9-CM 295.xx) between 1 January 2003 and 31 December 2007. Patients with schizophrenia or CKD (ICD-9-CM 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 753, 403, 404, 2504, 2741, 4401, 4421, 4473, 5724, 6421 or 6462) before the index date were further excluded. The initial diagnosis date was defined as the index date of entry into the schizophrenia cohort (figure 1). In Taiwan, the diagnosis of CKD follows the criteria of ‘Kidney Disease: Improving Global Outcomes (KDIGO)’. CKD is defined as kidney damage as albumin-to-creatinine ratio >30 mg/g in two of three spot urine specimens, or glomerular filtration rate (GFR) <60 mL/min/1.73 m2, for 3 months or more, irrespective of the cause.11
Figure 1

Sampling from the National Health Insurance Research Dataset (NHIRD).

Sampling from the National Health Insurance Research Dataset (NHIRD). During 2003–2007, the NHIRD database used included 2338 patients with schizophrenia. We identified one such control patient with the most similar demographic characteristics. Covariates included gender, age group (18–29, 30–39, 40–49, 50–59, 60–69, ≥70 years), geographical areas (north, central, south and east of Taiwan), urbanisation level (level 1–4) and monthly income groups (NTD; <18 000, 18 000–34 999, ≥35 000). The urbanisation of a patient’s home city was defined by population and certain indicators of the city's level of development. Level 1 urbanisation was defined as having a population greater than 1 250 000 people, and a specific status of political, economic, cultural and metropolitan development. Level 2 urbanisation was defined as having a population between 500 000 and 1 250 000, and an important role in Taiwan's political system, economy and culture. Urbanisation levels 3 and 4 were defined as having a population between 150 000 and 500 000 and a population less than 150 000, respectively.12 After matching, 7014 were found to be without schizophrenia (1:3) among a total of 9352 sampled patients. All patients were followed up within 3 years or those diagnosed with CKD. Comorbidities included diabetes (ICD-9-CM 250, 250.33), hypertension (ICD-9-CM 401.1, 401.9, 402.10, 402.90, 404.10, 404.90, 405.1, 405.9), hyperlipidaemia (ICD-9-CM 272.x), obesity (ICD-9-CM 278), heart disease (ICD-9-CM 410–429) and non-steroidal anti-inflammatory drugs (NSAIDs) usage.

Statistical analysis

Microsoft SQL Server 2008 software was used for data management and analysis. All statistical methods were performed using the Statistical Analysis Systems software package (Release 9.3; SAS Institute, Cary, North Carolina, USA). A two-sided p value with less than 0.05 was considered statistically significant. The χ2 test was used to analyse data for categorical variables including gender, age group, geography, urbanisation level, monthly income, comorbidities and NSAIDs usage from the data set prescription records. Multivariate analysis was conducted using Cox proportional hazards regression models to estimate the effects of risk factors on the HRs, and the 95% CI, for CKD.13

Results

We identified 2338 patients with schizophrenia, and 7014 without schizophrenia, among a total of 9352 sampled patients by using 1:3 matched. Table 1 shows the distributions of demographic characteristics and medical comorbidities among patients with and without schizophrenia in Taiwan. Schizophrenia occurred more frequently in the age group of 18–29 years (31.61%) than in the other five groups. Patients with schizophrenia generally had a lower economic status (67.19%), urbanisation level (45.34%) and lived in the north (45.60%). A comparison with controls revealed that patients with schizophrenia were more likely to have the comorbidities of diabetes mellitus (9.32 vs 7.13%, p<0.001), hypertension (17.96% vs 15.64%, p<0.05) and hyperlipidaemia (11.63% vs 10.92%, p<0.05). Patients with schizophrenia were more likely to take NSAIDs (41.06% vs 33.73%, p<0.001).
Table 1

Distribution of gender, age group and comorbidity in individuals with and without schizophrenia

Number of (%) of individuals
p Value
With schizophreniaWithout schizophrenia
Variablen=2338n=7014
Gender1
 Female1120 (47.9)3360 (47.9)
 Male1218 (52.1)3654 (52.1)
Age group1
 18–29739 (31.61)2217 (31.61)
 30–39576 (24.64)1728 (24.64)
 40–49502 (21.47)1506 (21.47)
 50–59255 (10.91)765 (10.91)
 60–69128 (5.47)384 (5.47)
 ≥70138 (5.9)414 (5.9)
Income<0.001
 <18 0001571 (67.19)3155 (44.98)
 18 000–34 999673 (28.79)2591 (36.94)
 ≥35 00094 (4.02)1268 (18.08)
Urbanisation*<0.001
 1526 (22.5)1980 (28.23)
 2169 (7.23)597 (8.51)
 3583 (24.94)1757 (25.05)
 41060 (45.34)2680 (38.21)
Geography<0.001
 North1067 (45.60)3669 (52.30)
 Central461 (19.70)1224 (17.50)
 South734 (31.40)1984 (28.30)
 East76 (3.30)137 (2.00)
Comorbidity
 Hypertension420 (17.96)1097 (15.64)<0.05
 Diabetes mellitus218 (9.32)500 (7.13)<0.001
 Dyslipidaemia272 (11.63)766 (10.92)0.342
 Obesity27 (1.20)39 (0.60)<0.05
 Heart disease343 (14.70)721 (10.30)<0.001
Medication
 NSAIDs use960 (41.06)2366 (33.73)<0.001

*Urbanisation level from 1 to 4 indicates most to least urbanised.

NSAIDs, non-steroidal anti-inflammatory drugs.

Distribution of gender, age group and comorbidity in individuals with and without schizophrenia *Urbanisation level from 1 to 4 indicates most to least urbanised. NSAIDs, non-steroidal anti-inflammatory drugs. During the 3-year follow-up period, 528 (3.21%) of the 9352 study patients experienced CKD, including 163 patients in the schizophrenia group and 365 patients in controls. The stratified Cox proportional hazard analysis showed that the schizophrenia group had a crude HR 1.36 times greater than that of the comparison group (95% CI 1.13 to 1.63; p<0.001; table 2).
Table 2

Individuals with and without schizophrenia as predictors of CKD identified by Cox regression

VariableNumber (%) of individuals
SchizophreniaNon-schizophrenia
n=2338n=7014
With CKD163 (6.90)365 (5.20)
Without CKD2175 (93.10)6649 (94.80)
Incidence rate*25.1318.6
Crude HR1.36 (1.13 to 1.63)†

*Incidence rate: per 1000 person-years.

†p<0.001 for comparison between patients with two groups.

CKD, chronic kidney disease.

Individuals with and without schizophrenia as predictors of CKD identified by Cox regression *Incidence rate: per 1000 person-years. †p<0.001 for comparison between patients with two groups. CKD, chronic kidney disease. Figure 2 depicts the CKD-free survival curves obtained by the Kaplan-Meier method, and shows that patients with schizophrenia had a significantly lower 3-year CKD-free survival than those without (log rank test, p<0.05). There was a significant difference in the CKD distribution between these two cohorts in the 3-year follow-up. The incidence rate (per 1000 person-years) of CKD for patients with schizophrenia (25.13) was higher than that for non-schizophrenic controls (18.60).
Figure 2

Chronic kidney disease (CKD) free survival for patients with schizophrenia (---) and patients without schizophrenia (–) during the 3-year follow-up period in Taiwan from the index date.

Chronic kidney disease (CKD) free survival for patients with schizophrenia (---) and patients without schizophrenia (–) during the 3-year follow-up period in Taiwan from the index date. After adjusting the age group, hypertension, diabetes mellitus, hyperlipidaemia, heart disease and NSAIDs usage, the Cox regression analysis showed that the elderly (HR=4.73; 95% CI 3.27 to 6.84; p<0.001), hypertension (HR=1.41; 95% CI 1.13 to 1.75, p<0.001), diabetes mellitus (HR=2.09; 95% CI 1.69 to 2.59; p<0.001), heart disease (HR=1.35; 95% CI 1.10 to 1.66, p<0.001) and NSAIDs usage (HR=3.21; 95% CI 2.64 to 3.93; p<0.001); the HR for patients with schizophrenia was 1.25 (95% CI 1.04 to 1.50; p<0.05). Most notably, patients with schizophrenia were found to be of an increased risk for the development of CKD, such as diabetes mellitus and the use of NSAIDs (table 3).
Table 3

Independent predictors of CKD identified by Cox regression analysis

VariableCrudeHR (95% CI)AdjustedHR* (95% CI)
Schizophrenia1.36 (1.13 to 1.63)†1.25 (1.04 to 1.50)‡
Gender
 Female1
 Male1.13 (0.95 to 1.34)
Age Group
 18–2911
 30–391.75 (1.24 to 2.48)‡1.65 (1.17 to 2.34)†
 40–492.99 (2.17 to 4.12)†2.27 (1.64 to 3.16)†
 50–594.81 (3.45 to 6.70)†2.82 (1.98 to 4.00)†
 60–698.44 (6.00 to 11.88)†4.07 (2.80 to 5.91)†
 ≥7012.67 (9.19 to 17.47)†4.73 (3.27 to 6.84)†
Income
 <18 0001
 18 000–34 9991.06 (0.88 to 1.27)
 ≥35 0000.61 (0.45 to 1.82)†
Urbanisation
 11
 20.88 (0.61 to 1.28)
 31.15 (0.90 to 1.46)
 41.18 (0.95 to 1.46)
Geography
 North1
 Central1.10 (0.87 to 1.40)
 South1.31 (1.08 to 1.59)†
 East1.62 (0.99 to 2.66)
Comorbidity
 Hypertension4.64 (3.91 to 5.50)†1.41 (1.13 to 1.75)†
 Diabetes mellitus5.15 (4.27 to 6.21)†2.09 (1.69 to 2.59)†
 Hyperlipidaemia2.97 (2.46 to 3.60)†1.10 (0.89 to 1.35)
 Obesity1.29 (0.53 to 3.11)
 Heart disease3.96 (3.30 to 4.75)†1.35 (1.10 to 1.66)†
Medication
 NSAIDs use4.81 (3.97 to 5.83)†3.21 (2.64 to 3.93)†

*Each variable was adjusted for every other variable listed whose crude HR was significant (p<0.05).

†p<0.001 for comparison between patients with two groups.

‡p<0.05 for comparison between patients with two groups.

NSAIDs, non-steroidal anti-inflammatory drugs.

Independent predictors of CKD identified by Cox regression analysis *Each variable was adjusted for every other variable listed whose crude HR was significant (p<0.05). †p<0.001 for comparison between patients with two groups. ‡p<0.05 for comparison between patients with two groups. NSAIDs, non-steroidal anti-inflammatory drugs. All the 2338 patients with schizophrenia with treatment of antipsychotics were assessed during the 3 years from the diagnosis index date. There are 10 typical antipsychotics (chlorpromazine, clopenthixol, clothiapine, flupentixol, haloperidol, loxapine, pimozide, sulpiride, thioridazine and trifluoperazine) and seven atypical antipsychotics (amisulpride, aripiprazole, clozapine, olanzapine, quetiapine, risperidone and zotepine). Of the patients with schizophrenia, 808 (34.56%) were treated with a single antipsychotic, 1185 (50.68%) were treated with two or more different antipsychotics, and 345 (14.76%) were treated without any antipsychotics. As shown in table 4, the patients with schizophrenia using different antipsychotics are stratified by the total number of days the antipsychotics were used (never used, <90 or ≧90 days). After adjusting for hypertension and diabetes mellitus, hyperlipidaemia and heart disease, neither typical antipsychotics nor atypical antipsychotics increased the risk of CKD.
Table 4

The HR of CKD in patients with schizophrenia in relation to antipsychotics use during the 3-year follow-up period

VariableNumber of patientsMean years useNumber of CKDIncidence rate*Crude HR(95% CI)Adjusted HR†(95% CI)
TA12990.738622.100.67 (0.47 to 0.94)0.65 (0.46 to 0.92)
 Not used6947737.5911
Amisulpride (days)2430.481610.90
 Not used175014723.6911
 <901230.09821.540.35 (0.08 to 1.45)0.35 (0.08 to 1.45)
 ≥901200.87822.060.54 (0.17 to 1.73)0.55 (0.18 to 1.75)
Aripiprazole (days)1740.4476.73
 Not used181916024.3011
 <901010.08413.370.67 (0.21 to 2.12)0.68 (0.22 to 2.15)
 ≥90730.92313.640.31 (0.04 to 2.19)0.33 (0.04 to 2.33)
Clozapine (days)880.6835.69
 Not used190516023.9711
 <90390.09217.280.59 (0.08 to 4.23)0.58 (0.08 to 4.13)
 ≥90491.1616.7600
Olanzapine (days)3860.53156.50
 Not used160714825.5811
 <901980.08915.260.53 (0.22 to 1.32)0.54 (0.22 to 1.33)
 ≥901880.99610.650.33 (0.10 to 1.06)0.35 (0.11 to 1.11)
Quetiapine (days)4540.584315.76
 Not used153912021.5311
 <902400.082433.551.43 (0.81 to 2.53)1.41 (0.80 to 2.51)
 ≥902141.131929.330.90 (0.43 to 1.87)0.83 (0.40 to 1.74)
Risperidone (days)10660.606410.66
 Not used9279925.1711
 <904760.093222.700.93 (0.56 to 1.52)0.94 (0.57 to 1.53)
 ≥905301.123220.070.59 (0.34 to 1.03)0.59 (0.34 to 1.05)
Zotepine (days)2320.431813.04
 Not used176114523.2011
 <901440.08921.060.98 (0.43 to 2.25)1.02 (0.44 to 2.34)
 ≥90881.00934.281.08 (0.40 to 2.93)1.00 (0.36 to 2.72)

345 patients did not use any antipsychotic.

*Incidence rate: per 1000 person-years

†Each variable was adjusted for hypertension, diabetes mellitus, hyperlipidaemia and heart disease.

‡p<0.05 for comparison between patients with two groups.

TA, typical antipsychotics.

The HR of CKD in patients with schizophrenia in relation to antipsychotics use during the 3-year follow-up period 345 patients did not use any antipsychotic. *Incidence rate: per 1000 person-years †Each variable was adjusted for hypertension, diabetes mellitus, hyperlipidaemia and heart disease. ‡p<0.05 for comparison between patients with two groups. TA, typical antipsychotics. About 40% (41.06%, N=960) of the patients used any NSAIDs in the schizophrenia group, and 2366 (33.73%) used NSAIDs in the control group. The average prescription days of NSAIDs were 29 in the schizophrenia group and 30 in the control group. The patients with schizophrenia were stratified by comorbidities and NSAIDs usage in patients older than 65 years. After adjusting for NSAIDs usage, the patients had a higher HR in this group, as shown in table 5.
Table 5

The HR of CKD in 2338 patients with schizophrenia for comorbidities and NSAIDs use during the 3-year follow-up period

VariableNumber of patientsCrude HR(95% CI)Adjusted HR*(95% CI)Adjusted HR†(95% CI)Adjusted HR‡(95% CI)
Comorbidity
Hypertension420
 <65 years old2931111
 ≥65 years old1272.00 (1.23 to 3.25)§1.85 (1.13 to 3.03)§1.59 (0.96 to 2.63)1.54 (0.93 to 2.56)
Diabetes mellitus218
 <65 years old1731111
 ≥65 years old453.83 (2.06 to 7.12)¶3.66 (1.93 to 6.96)¶2.56 (1.26 to 5.16)§2.52 (1.25 to 5.09)§
Dyslipidaemia272
 <65 years old2361111
 ≥65 years old362.52 (1.13 to 5.65)2.54 (1.09 to 5.92)§1.78 (0.76 to 4.15)1.90 (0.80 to 4.53)
Heart disease343
 <65 years old2471111
 ≥65 years old962.53 (1.50 to 4.30)¶2.46 (1.44 to 4.20)¶1.69 (0.96 to 2.99)1.70 (0.96 to 3.00)
Medication
NSAIDs use960
 <65 years old8351111
 ≥65 years old1252.82 (1.84 to 4.30)¶2.82 (1.84 to 4.30)¶1.83 (1.13 to 2.97)§1.83 (1.13 to 2.97)§

*Adjusted HR Adjusted for NSAIDs use.

†Adjusted HR Adjusted for hypertension, diabetes mellitus, dyslipidaemia and heart disease.

‡Adjusted HR Adjusted for hypertension, diabetes mellitus, dyslipidaemia, heart disease and NSAIDs use.

§p<0.05 for comparison between patients with two groups.

¶p<0.001 for comparison between patients with two groups.

NSAIDs, non-steroidal anti-inflammatory drugs.

The HR of CKD in 2338 patients with schizophrenia for comorbidities and NSAIDs use during the 3-year follow-up period *Adjusted HR Adjusted for NSAIDs use. †Adjusted HR Adjusted for hypertension, diabetes mellitus, dyslipidaemia and heart disease. ‡Adjusted HR Adjusted for hypertension, diabetes mellitus, dyslipidaemia, heart disease and NSAIDs use. §p<0.05 for comparison between patients with two groups. ¶p<0.001 for comparison between patients with two groups. NSAIDs, non-steroidal anti-inflammatory drugs.

Discussion

After adjusting for demographic characteristics, select comorbid medical disorders and NSAIDs usage, the current results reveal that patients with schizophrenia have an increased risk of nearly 40% (HR=1.36; 95% CI 1.13 to 1.63; p<0.001) of developing CKD within a 3-year follow-up period after their schizophrenia diagnosis, as compared with that of the matched non-schizophrenic controls. There was a significant difference in the CKD distribution between these two cohorts in the 3-year follow-up period. This tendency was more evident since the enrolled patients with schizophrenia were newly diagnosed and had no previous history of CKD. No sex difference in the risk of developing CKD was found. To the best of our knowledge, there have been no previous studies showing this risk for the development of CKD. Since the Kaplan-Meier method revealed that patients with schizophrenia had a significantly lower 3-year CKD-free survival than those without schizophrenia, and it takes 540 days (18 months) to achieve a significantly adjusted HR (data not shown), hence 3 years proved to be a reasonable period to follow the newly-diagnosed patients with schizophrenia. In the study population, the group with schizophrenia consisted of patients who were first entered into the record with a diagnosis of schizophrenia, with over 70% of this group being 30 years of age and/or older, which is beyond the typical age of the onset of schizophrenia, being that of males 18–25 years of age, and females 20–35 years of age.14 15 This disparity may be due to the fact that people with mental disorders tend to start searching for help from folk belief healers or their primary care physicians, such as internists or family physicians, before they visit a psychiatrist in Taiwan.16 However, most of the Taiwanese folk belief healers provide shamanistic ritual treatment,17 religious consultations18 or support to patients and caregivers from their faith groups,19 as well as to those patients with schizophrenia who seek their help, instead of medications. The disadvantaged socioeconomic status and psychotic symptoms present in patients with schizophrenia can also result in poor food choices.20 In the non-schizophrenic population, many with chronic illnesses, their treatments and even their medications usage can also contribute to the development of CKD: for example, comorbidity with diabetes mellitus, autoimmune diseases or nephritis; use of some nephrotoxic drugs21; or unhealthy lifestyles, obesity and the metabolic syndrome.22 Therefore, unhealthy diets of low-fibre food, smoking habits, lack of exercise, disadvantaged socioeconomic status and metabolic syndrome may also contribute to the development of CKD among patients with schizophrenia. Another potential interpretation could be that once individuals are diagnosed with schizophrenia, they are then subjected to closer medical attention, thus making diagnosis with CKD more likely. However, results varied about the study of frequency in the help-seeking behaviours of patients with schizophrenia or contacts with their general practitioners.23 24 Therefore, further study is needed to understand utilisations of preventive somatic diseases screening of patients with schizophrenia. From the biological viewpoint, some previous studies have shown that endothelial dysfunction is common to the pathogenesis of DM, hypertension and hyperlipidaemia,22 and also that endothelial dysfunction is an underlying pathophysiological condition of CKD.25 Alteration of the endothelial function, as shown in one prior study, plays a role in patients with first-onset schizophrenia26 another study revealed that some pharmacogenetic variability regarding folate and homocysteine metabolism may also increase endothelial dysfunction risk in patients with schizophrenia using atypical antipsychotics.27 There is a statistically significant increase in the risk of CKD in patients with schizophrenia, and a possible common pathway involving an alteration of the endothelial function should be explored in further research. Patients with schizophrenia need a long duration of, or even lifelong, antipsychotic treatment. Therefore, the association between antipsychotic use and CKD in patients with schizophrenia has been discussed in this study. We therefore found that there is no specific association between antipsychotic treatment and CKD when controlling for comorbidity with hypertension and diabetes mellitus. Using NSAIDs is a well-known risk factor for CKD.28 Several nationwide population-based studies showed that the use of NSAIDs in Taiwan's residents was generally around 40–50%, and could be up to 95% in some populations.29–31 In a previous study, patients with schizophrenia were found to have the well-known phenomenon of pain insensitivity, or hypoalgesia, but its impact on their general health is unclear.32 Some authors argue that patients with schizophrenia do have chronic pain.33 However, the current findings suggest that the percentage of patients with schizophrenia with any previous NSAIDs usage is higher than that of the non-schizophrenia group, and therefore this phenomenon needs further study. In our study, patients with schizophrenia who had used NSAIDs had a higher HR (3.21, 95% CI 2.64 to 3.93; p<0.001) in comparison to the control group. In the group of patients with schizophrenia, those with any NSAIDs usage had a higher adjusted HR than patients not receiving NSAIDs (HR=2.13; 95% CI 1.51 to 3.02; p<0.001). Therefore, schizophrenia presents an increased risk for CKD, and the use of NSAIDs seems to have some synergistic effects for this mounting risk in these patients. Current guidelines recommend the regular monitoring of metabolic risk in people treated with antipsychotic medication, such as fasting glucose, body mass index, fasting triglycerides, fasting cholesterol, girth, high-density/low-density lipoprotein, blood pressure and symptoms of diabetes.34 From the aspects of cost-effectiveness, screening combined blood urine nitrogen and creatinine tests in patients with schizophrenia once a year would cost about NT$80 (New Taiwan dollars), equivalent to US$2.67 per patient-year, as compared to haemodialysis US$1325 per patient-year for patients without diabetes with end-stage renal disease (ESRD), and $4677 per patient-year for patients with diabetes with ESRD in Taiwan. These tests would allow physicians to initiate early prevention for patients with schizophrenia who are at risk of developing CKD.35 However, further study is required to evaluate the benefits of screening CKD in patients with schizophrenia. Studies using insurance claims data have some limitations: patients with CKD have been detected, but the severity and outcomes are not clear in such a data set. The antipsychotic dose, degree of smoking and alcohol use, dietary habits and the amount of NSAID or other analgesics, such as acetaminophen usage, are not known in the health data set. Adequate accessibility to and availability of treatment in the disadvantaged patient group with schizophrenia are in doubt, since inequalities in healthcare provision for people with schizophrenia have been documented.36 37 In addition, an even longer follow-up is needed to clarify the long-term risk for patients with schizophrenia of developing CKD in this population. Although periodic renal function tests are recommended for patients with schizophrenia, the future cost-effectiveness of such tests needs further study.

Conclusions

In this national population-based retrospective cohort study, we found a significant association, a 25% increased risk, between schizophrenia and subsequent CKD in a 3-year follow-up period, especially in those older ages, those with DM and those using NSAIDs. Further study is required to extend this positive link to clinical purposes, thereby not only establishing preventive treatment, but also by evaluating the benefits of screening CKD in patients with schizophrenia.
  36 in total

Review 1.  Endothelial dysfunction as an underlying pathophysiological condition of chronic kidney disease.

Authors:  Minoru Satoh
Journal:  Clin Exp Nephrol       Date:  2012-06-06       Impact factor: 2.801

2.  NSAID use and progression of chronic kidney disease.

Authors:  Katherine Gooch; Bruce F Culleton; Braden J Manns; Jianguo Zhang; Helman Alfonso; Marcello Tonelli; Cy Frank; Scott Klarenbach; Brenda R Hemmelgarn
Journal:  Am J Med       Date:  2007-03       Impact factor: 4.965

3.  Cardiovascular events associated with the use of four nonselective NSAIDs (etodolac, nabumetone, ibuprofen, or naproxen) versus a cyclooxygenase-2 inhibitor (celecoxib): a population-based analysis in Taiwanese adults.

Authors:  Weng-Foung Huang; Fei-Yuan Hsiao; Yu-Wen Wen; Yi-Wen Tsai
Journal:  Clin Ther       Date:  2006-11       Impact factor: 3.393

Review 4.  Mortality in schizophrenia.

Authors:  Pascal Auquier; Christophe Lançon; Frédéric Rouillon; Malcolm Lader; Catriona Holmes
Journal:  Pharmacoepidemiol Drug Saf       Date:  2006-12       Impact factor: 2.890

Review 5.  Inequalities in healthcare provision for people with severe mental illness.

Authors:  David Lawrence; Stephen Kisely
Journal:  J Psychopharmacol       Date:  2010-11       Impact factor: 4.153

6.  Diabetes is an independent risk factor for peptic ulcer bleeding: a nationwide population-based cohort study.

Authors:  Yen-Ling Peng; Hsin-Bang Leu; Jiing-Chyuan Luo; Chin-Chou Huang; Ming-Chih Hou; Han-Chieh Lin; Fa-Yauh Lee
Journal:  J Gastroenterol Hepatol       Date:  2013-08       Impact factor: 4.029

Review 7.  Are patients with schizophrenia insensitive to pain? A reconsideration of the question.

Authors:  Olivier Bonnot; George M Anderson; David Cohen; Jean Claude Willer; Sylvie Tordjman
Journal:  Clin J Pain       Date:  2009 Mar-Apr       Impact factor: 3.442

8.  Is There a Tension between Clinical Practice and Reimbursement Policy? The Case of Osteoarthritis Prescribing Practices in Ontario.

Authors:  Parminder S Raina; Amiram Gafni; Sandra Bell; Susan Grant; Rolf J Sebaldt; Aimei Fan; Annie Petrie; Kevin Skilton
Journal:  Healthc Policy       Date:  2007-11

9.  Taiwan's healthcare report 2010.

Authors:  Willie Sai Ho Chan
Journal:  EPMA J       Date:  2010-12-02       Impact factor: 6.543

10.  Increased risk of major depression in the three years following a femoral neck fracture--a national population-based follow-up study.

Authors:  Chih-Yu Chang; Wen-Liang Chen; Yi-Fan Liou; Chih-Chi Ke; Hua-Chin Lee; Hui-Ling Huang; Li-Ping Ciou; Chu-Chung Chou; Mei-Chueh Yang; Shinn-Ying Ho; Yan-Ren Lin
Journal:  PLoS One       Date:  2014-03-13       Impact factor: 3.240

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  16 in total

1.  The Risk of Hospitalization for Motor Vehicle Accident Injury in Narcolepsy and the Benefits of Stimulant Use: A Nationwide Cohort Study in Taiwan.

Authors:  Nian-Sheng Tzeng; Shih-Chun Hsing; Chi-Hsiang Chung; Hsin-An Chang; Yu-Chen Kao; Wei-Chung Mao; Cheryl C H Yang; Terry B J Kuo; Tien-Yu Chen; Wu-Chien Chien
Journal:  J Clin Sleep Med       Date:  2019-06-15       Impact factor: 4.062

2.  Epigenetic Associations With Estimated Glomerular Filtration Rate Among Men With Human Immunodeficiency Virus Infection.

Authors:  Junyu Chen; Yunfeng Huang; Qin Hui; Raina Mathur; Marta Gwinn; Kaku So-Armah; Matthew S Freiberg; Amy C Justice; Ke Xu; Vincent C Marconi; Yan V Sun
Journal:  Clin Infect Dis       Date:  2020-02-03       Impact factor: 9.079

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

Authors:  Joseph Junior Damba; Katie Bodenstein; Paola Lavin; Jessica Drury; Harmehr Sekhon; Christel Renoux; Emilie Trinh; Soham Rej; Kyle T Greenway
Journal:  CNS Drugs       Date:  2022-09-26       Impact factor: 6.497

4.  Lower Incidence of End-Stage Renal Disease but Suboptimal Pre-Dialysis Renal Care in Schizophrenia: A 14-Year Nationwide Cohort Study.

Authors:  Yueh-Han Hsu; Jur-Shan Cheng; Wen-Chen Ouyang; Chen-Li Lin; Chi-Ting Huang; Chih-Cheng Hsu
Journal:  PLoS One       Date:  2015-10-15       Impact factor: 3.240

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

Authors:  Hsien-Yi Wang; Charles Lung-Cheng Huang; I Jung Feng; Hui-Chun Tsuang
Journal:  BMJ Open       Date:  2018-05-24       Impact factor: 2.692

6.  The role of genetic variation of human metabolism for BMI, mental traits and mental disorders.

Authors:  Johannes Hebebrand; Triinu Peters; Dick Schijven; Moritz Hebebrand; Corinna Grasemann; Thomas W Winkler; Iris M Heid; Jochen Antel; Manuel Föcker; Lisa Tegeler; Lena Brauner; Roger A H Adan; Jurjen J Luykx; Christoph U Correll; Inke R König; Anke Hinney; Lars Libuda
Journal:  Mol Metab       Date:  2018-04-03       Impact factor: 7.422

7.  Increased Risk of Psychiatric Disorders in Allergic Diseases: A Nationwide, Population-Based, Cohort Study.

Authors:  Nian-Sheng Tzeng; Hsin-An Chang; Chi-Hsiang Chung; Yu-Chen Kao; Chuan-Chia Chang; Hui-Wen Yeh; Wei-Shan Chiang; Yu-Ching Chou; Shan-Yueh Chang; Wu-Chien Chien
Journal:  Front Psychiatry       Date:  2018-04-24       Impact factor: 4.157

8.  Severe mental illness and chronic kidney disease: a cross-sectional study in the United Kingdom.

Authors:  Masao Iwagami; Kathryn E Mansfield; Joseph F Hayes; Kate Walters; David Pj Osborn; Liam Smeeth; Dorothea Nitsch; Laurie A Tomlinson
Journal:  Clin Epidemiol       Date:  2018-04-16       Impact factor: 4.790

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

Authors:  Mikkel Højlund; Lars Christian Lund; Jonas Leander Emming Herping; Maija Bruun Haastrup; Per Damkier; Daniel Pilsgaard Henriksen
Journal:  BMJ Open       Date:  2020-08-11       Impact factor: 2.692

10.  Acute general hospital admissions in people with serious mental illness.

Authors:  Nishamali Jayatilleke; Richard D Hayes; Chin-Kuo Chang; Robert Stewart
Journal:  Psychol Med       Date:  2018-02-28       Impact factor: 7.723

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