Diabetes mellitus is a common chronic metabolic disorder characterised by elevated blood glucose. Prolonged hyperglycaemia may induce the macrovascular and microvascular complications of diabetes. Reference Stratton, Adler, Neil, Matthews, Manley and Cull1 Intensive glycaemic control, as well as lifestyle intervention, is recommended for diabetes management. 2 Patients with schizophrenia have a significantly higher prevalence of diabetes mellitus than the general population. Reference Dixon, Weiden, Delahanty, Goldberg, Postrado and Lucksted3–Reference Bai, Su, Chen, Chen and Chang5 Factors associated with developing diabetes mellitus, such as heritability, an unhealthy lifestyle and antipsychotic treatment, might further influence disease progression and the long-term adverse outcomes of diabetes. Reference Holt, Peveler and Byrne6–Reference Sernyak, Leslie, Alarcon, Losonczy and Rosenheck8 However, whether schizophrenia is associated with poor glycaemic control remains inconclusive. Three cross-sectional studies showed that the haemoglobin A1c (HbA1c) level in patients with schizophrenia was similar to or lower than that in people without severe mental illnesses. Reference Dixon, Kreyenbuhl, Dickerson, Donner, Brown and Wohlheiter9–Reference Weiss, Henderson, Weilburg, Goff, Meigs and Cagliero11 In contrast, a retrospective cohort study showed that patients with schizophrenia were more likely to be admitted to hospital or visit emergency departments for hyperglycaemia or hypoglycaemia. Reference Becker and Hux12 Studies exploring long-term diabetes complications in patients with schizophrenia have revealed mixed results. Reference Mai, Holman, Sanfilippo, Emery and Preen13,Reference Leung, Zhang, Lin and Clark14 The discrepant findings might be partially explained by enrolling patients with prevalent diabetes without controlling for duration of diabetes, Reference Mai, Holman, Sanfilippo, Emery and Preen13,Reference Leung, Zhang, Lin and Clark14 small sample size Reference Mai, Holman, Sanfilippo, Emery and Preen13 and short length of follow-up. Reference Leung, Zhang, Lin and Clark14 Therefore, we conducted a matched cohort study using a nationwide claims database to explore the association between schizophrenia and advanced diabetes complications and mortalities in patients with newly diagnosed diabetes.
Method
Data source
This matched cohort study from 1998 to 2011 was carried out based on the Taiwan's National Health Insurance Research Database (NHIRD). 15 Taiwan launched a single-payer National Health Insurance (NHI) programme, covering up to 98% of the Taiwanese population on 1 March 1995. The NHIRD was derived from the original reimbursement claims. The database includes patients' demographic characteristics, diagnoses, procedures and prescription claims data. The validation of diagnoses of major diseases in the NHIRD, such as diabetes, stroke and acute coronary syndrome, has been well-established. Reference Cheng, Kao, Lin, Lee and Lai16–Reference Wu, Chan, Wu, Kuo, Wang and Tsao18
Given we could not assess the whole database of the NHIRD, we used the Psychiatric Inpatient Medical Claims (PIMC) and the Longitudinal Health Insurance Database 2005 (LHID2005), which are subsets of the NHIRD, to identify patients with diabetes with and without schizophrenia respectively. The PIMC contains all beneficiaries with at least one psychiatric hospital admission record and one discharge diagnosis of psychiatric disorder between 1996 and 2007, which is derived from the whole population in Taiwan (n = 187 117). The claims data were extended to 2011 for this study. The LHID2005 contains all the original claims data of 1 000 000 beneficiaries, randomly sampled from the year 2005 Registry for Beneficiaries of the NHIRD. The distribution of gender and age of the sampled participants in the LHID2005 did not differ significantly from that of the general population. This study was approved by the Research Ethics Review Committee of Far Eastern Memorial Hospital before implementation.
Study population
We assembled a cohort of patients with newly diagnosed diabetes. The index date, the date of cohort entry, was defined as the date of the first diagnosis of diabetes. Patients with diabetes included in this study must have had at least three ambulatory claims or one in-patient discharge diagnosis of diabetes (ICD-9-CM code: 250.x) 19 between 1998 and 2011. The validation of this definition of diabetes showed a 96.9% sensitivity and 93.9% positive predictive value in a study using a questionnaire assessment of patients with diabetes from the NHIRD. Reference Lin, Lai, Syu, Chang and Tseng17,Reference Chang, Shau, Jiang, Li, Chang and Sheu20
Prevalent cases of individuals with a diagnosis of diabetes before 1998 or those with less than a 1-year observational period before diabetes was diagnosed were excluded from the study. Patients with newly diagnosed diabetes aged <18 years on the index date were excluded. We also excluded patients who had any ambulatory or in-patient record of the study end-point (microvascular and macrovascular complications) before the index date. The details of the data refinement procedure to identify the cohorts of patients with both diabetes and schizophrenia (diabetes+schizophrenia group) and those with diabetes but without schizophrenia (comparison group) are shown in Fig. 1 and described below.
Cohort of patients with diabetes and schizophrenia
A total of 14 740 individuals newly diagnosed with diabetes and who had schizophrenia were identified from PIMC between the years 1998 and 2011. The included patients must have had a diagnosis of schizophrenia (ICD9-CM code: 295.x) before the first date of diabetes diagnosis. To ensure the validity of the schizophrenia diagnosis, patients with schizophrenia should have been confirmed by an in-patient diagnosis of schizophrenia. After excluding those aged <18 years and those with pre-existing complications, a total of 12 128 patients with diabetes and with schizophrenia were identified.
Comparison group of patients with diabetes but without schizophrenia
We identified 62 183 eligible comparison individuals, who had no pre-existing complications, were aged ≥18 years and no diagnosis of schizophrenia before the first date of diabetes diagnosis. For each patient in the diabetes+schizophrenia group, we randomly selected one comparison individual (patient with diabetes but without schizophrenia) matched by age (the year of birth), gender and year of diabetes diagnosis. The matched comparison patients were not selected again once they had been matched. Since all comparison individuals participated in the NHI programme in 2005, patients with diabetes and with schizophrenia who were not NHI beneficiaries in 2005 were excluded. When there were no eligible comparison individuals, an equal number of patients with both diabetes and with schizophrenia were excluded (n = 474). We finally identified 11 274 patients with both diabetes and schizophrenia (diabetes+schizophrenia group) and 11 274 patients with diabetes but without schizophrenia (comparison group).
Main outcome measures
Advanced complications of diabetes
We defined the advanced macrovascular and microvascular complications of diabetes based on the ICD-9-CM diagnostic and procedure code and NHI procedure code from the ambulatory and in-patient claims records. Macrovascular complications included admission to hospital for ischemic heart disease (ICD-9-CM: 410.x–414.x), stroke (ICD-9-CM: 430 -438.x) and peripheral vascular disease (ICD-9-CM: 443.9 or 440.2) with stent insertion, vascular shunt or bypass or vessel repair procedure (ICD-9-CM: 00.55, 39.23, 39.24, 39.25, 39.26 39.29, 39.50, 39.51, 39.52, 39.54, 39.56, 39.57, 39.58, 39.59 or 39.71).
Microvascular complication was defined as the composite of diabetic retinopathy (ICD-9-CM: 250.5x, 362.01, or 362.02) with laser photocoagulation (NHI procedure code: 86206B or 86207B) or vitrectomy (NHI procedure code: 60003C or 60004C), blindness (ICD-9-CM: 369.x), end-stage renal disease (ICD-9-CM: 585.5-585.6 or 586) with dialysis, vessel operations for haemodialysis or kidney transplantation (ICD-9-CM: 39.27, 39.42, 39.43, 39.49, 39.50, 39.53, 39.93, 39.94, 39.95, 54.98 or 55.6x), admission to hospital for diabetic foot infection (ICD-9-CM: 681.1x, 682.6 or 682.7) or lower extremity amputations (ICD-9-CM procedure code: 84.1x). Study cohorts were followed up until the date of the occurrence of a study outcome, death or the end of 2011.
All-cause mortality
We conducted a separate analysis for the hazard ratio (HR) of all-cause mortality. The date of death was identified from the discharge date of in-patient death, the date of withdrawal from the NHI programme or the death record in the Registry for Catastrophic Illness Patients, which is a subset of the NHIRD and shared a common identifier with all data-sets in the NHIRD. The death was further confirmed by the follow-up claims. If patients had further out-patient or in-patient visits after the ascertained death date, the death was excluded. Both the diabetes+schizophrenia and the comparison groups participated in the NHI programme in 2005; therefore, mortality would not have occurred before 2005. If the index date of the study individual was prior to 2005, the date of cohort entry was defined as 1 January 2005. Study groups were followed up until death or the end of 2011.
Covariates assessment
In addition to matching patients by age (the year of birth), gender and the year of diabetes diagnosis, several potential confounders that might be associated with both diabetes complications and schizophrenia were examined. These factors, which were assessed in the year before the index date, included comorbid conditions of hypertension, dyslipidaemia, chronic pulmonary disease, chronic liver disease, malignancy, major depressive disorder, anxiety disorder, alcohol- or substance-related disorder and exposure to medication, including angiotensin converting-enzyme inhibitor/angiotensin II receptor blockers (ACEI/ARBs), beta blockers, calcium channel blockers, diuretics, lipid-lowering agents, non-steroidal anti-inflammatory drugs (NSAIDs) and antidepressants. To control for medical accessibility, we assessed health system utilisation, including the number of psychiatric and non-psychiatric out-patient visits, and hospital admissions to psychiatric and non-psychiatric wards in the year prior to the index date.
Statistical analysis
The baseline characteristics of patients with diabetes with and without schizophrenia are described by number and percentage. Differences in the characteristics in these two patient groups were compared using χ2-test. We used Kaplan–Meier event-free survival curves to compare the three outcomes: macrovascular diabetes complications, microvascular diabetes complications and all-cause mortality, among the diabetes+schizophrenia group and the comparison group and tested the difference using the log-rank test. With adjustment for all above-mentioned potential confounding factors, we used separate multivariate Cox proportional hazards models to estimate the hazard ratios of schizophrenia for the three outcomes. The proportional hazards assumption for schizophrenia, which was tested using the Kolmogorov-type supremum test, was not violated in analyses for macrovascular complications (P = 0.07), microvascular complications (P = 0.08) and all-cause mortality (P = 0.45). Reference Lin, Wei and Ying21
To assess whether the risk of diabetes complications and mortality varied across patient characteristics, we conducted further analyses stratifying various characteristics of the patients, including age, gender and presence of cardiometabolic risk factors (hypertension or dyslipidaemia). Furthermore, we included the interaction terms in the multivariate model to determine the modifying effects of the patients' characteristics on the risks of diabetes complications and mortality.
We conducted post hoc analyses to assess the quality of diabetes care, which is a potential mediator contributing to the link between schizophrenia and the outcome of diabetes. The quality indicators of diabetes care were anti-diabetic medication adherence and the rates of receipt for the following tests: fasting blood glucose, HbA1C, lipid profiles, serum creatinine and urine protein, and retina examinations during the follow-up period. The 1-year weighted rate of receipt for each test was calculated using the total number of tests that patients received divided by the years of follow-up period. We assumed a rate of equal to or more than once per year for each test as an indicator of good quality of diabetes care. In addition, we assessed anti-diabetic medication adherence by using the medication process ratio (MPR), Reference Cramer, Roy, Burrell, Fairchild, Fuldeore and Ollendorf22 which was defined as the sum of the days' supply of anti-diabetic medications divided by follow-up periods. Good anti-diabetic adherence was defined as a MPR≥0.8. Multivariate logistic regression models were used to examine the difference in quality of care between the two groups, with adjustment for the above-mentioned covariates. All statistical analyses were conducted with SAS version 9.2. The statistical significance of relationships was assessed using 95% confidence intervals or P<0.05.
Results
The baseline characteristics of the diabetes+schizophrenia and the comparison groups are detailed in Table 1. The mean age at diabetes diagnosis was 45.7 years (s.d. = 11.7). Mean duration of follow-up for diabetes complications was 5.4 years (s.d. = 3.7). Overall, the diabetes+schizophrenia group had a higher prevalence of dyslipidaemia, chronic pulmonary disease, chronic liver disease, major depressive disorder, anxiety disorders and alcohol- or substance-related disorders than the comparison group. In addition, the diabetes+schizophrenia group were more likely to use beta blockers and antidepressants, but were less likely to use ACEI/ARBs, calcium channel blockers, diuretics and NSAIDs. Regarding health system utilisation, the diabetes+schizophrenia group had more overall admissions to hospital (χ2 = 2014.0, d.f. = 1, P<0.001) and out-patient visits (χ2 = 1437.9, d.f. = 2, P<0.001) but fewer non-psychiatric out-patient visits (χ2 = 296.2, d.f. = 1, P<0.001) than the comparison group.
n % | |||
---|---|---|---|
Diabetes+schizophrenia group (n = 11 247) | Comparison group (n = 11 247) | P | |
Age, years | |||
18–44 | 5493 (48.8) | 5493 (48.8) | |
45–64 | 5026 (44.7) | 5026 (44.7) | |
≥65 | 728 (6.5) | 728 (6.5) | |
Male gender | 5720 (50.9) | 5720 (50.9) | |
Comorbidity | |||
Hypertension | 3269 (29.1) | 3325 (29.6) | 0.41 |
Dyslipidaemia | 2737 (24.3) | 2575 (22.9) | 0.01 |
Chronic liver diseases | 1635 (14.5) | 1266 (11.3) | <0.001 |
Chronic pulmonary diseases | 2434 (21.6) | 1715 (15.2) | <0.001 |
Malignancy | 335 (3.0) | 334 (3.0) | 0.97 |
Major depressive disorders | 3299 (29.3) | 247 (2.2) | <0.001 |
Anxiety disorders | 3511 (31.2) | 1310 (11.6) | <0.001 |
Alcohol or substance use | 1505 (13.4) | 341 (3.0) | <0.001 |
Medication use | |||
ACEI/ARB | 1002 (8.9) | 1472 (13.1) | <0.001 |
Beta blocker | 4194 (37.3) | 2173 (19.3) | <0.0001 |
Calcium channel blocker | 1640 (14.6) | 2071 (18.4) | <0.001 |
Diuretics | 1005 (8.9) | 1174 (10.4) | <0.001 |
Lipid-lowering agent | 1011 (9.0) | 976 (8.7) | 0.41 |
NSAID | 6475 (57.6) | 8195 (72.9) | <0.001 |
Antidepressants | 3053 (27.1) | 590 (5.2) | <0.001 |
Healthy system utilisation | |||
Number of non-psychiatric out-patient visits | <0.001 | ||
<10 | 5187 (46.1) | 3975 (35.3) | |
10–19 | 2566 (22.8) | 3399 (30.2) | |
≥20 | 3494 (31.1) | 3873 (34.4) | |
Number of psychiatric out-patient visits | <0.001 | ||
<10 | 4872 (43.3) | 11 147 (99.1) | |
10–19 | 4504 (40.0) | 84 (0.7) | |
≥20 | 1871 (16.6) | 16 (0.1) | |
Admission to hospital | |||
Non-psychiatric | 1492 (13.3) | 1151 (10.2) | <0.001 |
Psychiatric | 3053 (27.1) | 19 (0.2) | <0.001 |
ACEI/ARB, angiotensin converting-enzyme inhibitor/angiotensin II receptor blocker; NSAID, non-steroidal anti-inflammatory drugs.
The incidence rate per 1000 person-years was 18.2 for macrovascular complications, 13.0 for microvascular complications and 26.6 for all-cause mortality in the diabetes+schizophrenia group (Table 2). In the comparison group, the incidence rates were 14.2, 11.2 and 7.5 per 1000 person-years for macrovascular complications, microvascular complications and all-cause mortality respectively. The Kaplan–Meier event-free survival curves showed the elevated risk for macrovascular complications (the log-rank P<0.001), microvascular complications (P = 0.005) and all-cause mortality (P<0.001) among the diabetes+schizophrenia group (Fig. 2). The adjusted hazard ratios of schizophrenia were 1.49 (95% CI 1.32–1.68) for macrovascular complications and 3.68 (95% CI 3.21–4.22) for all-cause mortality. However, the risk of schizophrenia for microvascular complications was not statistically significant after adjusting for potential confounding factors (adjusted HR = 1.05, 95% CI 0.91–1.21). The hazard ratios with different levels of adjustment are showed in online Table DS1 and the hazard ratios of covariates in online Table DS2.
Complications | |||
---|---|---|---|
Macrovascular | Microvascular | All-cause mortality | |
Diabetes+schizophrenia group | |||
Event/person-years | 1083/59637 | 791/60880 | 1330/50053 |
Incidence per 1000 person-year (95% CI) | 18.2 (17.1–19.2) | 13.0 (12.1–13.9) | 26.6 (25.1–28.0) |
Comparison group | |||
Event/person-years | 888/62386 | 709/63100 | 392/52089 |
Incidence per 1000 person-year (95% CI) | 14.2 (13.3–15.2) | 11.2 (10.4–12.1) | 7.5 (6.8–8.3) |
Adjusted hazard ratio of schizophrenia (95% CI) | |||
All patients | 1.49 (1.32–1.68) | 1.05 (0.91–1.21) | 3.68 (3.21–4.22) |
Subgroup analysis | |||
Age group, years | |||
18–44 | 1.47 (1.18–1.83) | 0.90 (0.72–1.12) | 3.04 (2.39–3.85) |
45–64 | 1.31 (1.11–1.55) | 1.07 (0.86–1.33) | 3.90 (3.18–4.79) |
≥65 | 1.58 (1.18–2.12) | 1.56 (0.99–2.45) | 3.12 (2.31–4.22) |
Gender | |||
Female | 1.61 (1.34–1.93) | 1.05 (0.85–1.31) | 4.79 (3.84–5.97) |
Male | 1.40 (1.19–1.65) | 1.02 (0.84–1.24) | 3.09 (2.59–3.68) |
Presence of cardiometabolic risk factors a | |||
Yes | 1.41 (1.18–1.67) | 1.11 (0.87–1.40) | 3.16 (2.55–3.93) |
No | 1.58 (1.34–1.87) | 1.05 (0.88–1.26) | 4.14 (3.47–4.94) |
a. Cardiometabolic risk factors included hypertension and dyslipidaemia.
Subgroup analyses revealed that the risk of mortality associated with schizophrenia was greater in women than in men (P<0.001) but the risk of macrovascular or microvascular complications did not differ by gender. Age group or the presence of cardiometabolic risk factors did not modify the effect of schizophrenia on diabetic complications and mortality (all P>0.5). We further examined the quality of diabetes care during the follow-up periods and found that the diabetes+schizophrenia group had higher rates of good-quality indicators for receiving fasting blood glucose, lipid profile and serum creatinine testing, and better anti-diabetic medication adherence than those without schizophrenia. However, the diabetes+schizophrenia group were less likely to have had a retina examination (Table 3).
n (%) | |||
---|---|---|---|
Diabetes+schizophrenia
group (n = 11 247) |
Comparison
group (n = 11 247) |
Adjusted OR (95% CI) |
|
Examination | |||
Fasting blood glucose | 7952 (70.7) | 6814 (60.6) | 1.22 a (1.13–1.33) |
Haemoglobin A1c | 3673 (32.7) | 3239 (28.8) | 1.08 a (0.99–1.17) |
Lipid profiles | 5452 (48.5) | 3911 (34.8) | 1.37 a (1.26–1.48) |
Urine protein profiles | 2116 (18.8) | 1909 (17.0) | 1.00 a (0.91–1.10) |
Serum creatinine | 5565 (49.5) | 3508 (31.2) | 1.64 a (1.52–1.78) |
Retina examination | 324 (2.9) | 425 (3.8) | 0.72 a (0.58–0.89) |
Anti-diabetic medication adherence | 1.35 b (1.23–1.47) | ||
None or diet | 2551 (22.7) | 2571 (22.9) | |
Poor adherence | 3221 (28.6) | 3917 (34.8) | |
Good adherence | 5475 (48.6) | 4759 (42.3) |
a. Adjusted OR, ≥1 examinations per year v. <1 examination per year.
b. Adjusted OR, good adherence v. poor adherence; analysis used only patients with anti-diabetic treatment (n = 17 372).
Discussion
This is one of the first studies using a cohort of patients with newly diagnosed diabetes to investigate the association between schizophrenia and advanced diabetes complications. The results showed that patients with diabetes and schizophrenia had a 1.49-fold and a 3.68-fold increased risk of macrovascular complications and all-cause mortality respectively. However, the risk of microvascular complications among the diabetes+schizophrenia group was not significantly different from the patients with diabetes but not schizophrenia.
Our findings were generally in line with a cohort study using linked data-sets in Western Australia, which showed patients with schizophrenia had a significantly increased risk of mortality and an increased trend for diabetes complications. Reference Mai, Holman, Sanfilippo, Emery and Preen13 The marked increased mortality rate of patients with diabetes and schizophrenia was also compatible with previous studies that showed that patients with schizophrenia have a two- to fourfold increased mortality rate because of endocrine, cardiovascular and genitourinary diseases, compared with the general population. Reference Saha, Chant and McGrath23 However, our results were contradictory to those found by a cohort study using Medicaid and Medicare claims data in Massachusetts, USA. Reference Leung, Zhang, Lin and Clark14 Leung and colleagues found that patients with schizophrenia or paranoid state had lower rates of adverse diabetes outcomes than patients without mental disorders. Reference Leung, Zhang, Lin and Clark14 Their findings might be markedly biased by a lack of control for disease duration of diabetes because the mean age of the patients with schizophrenia (52 years old, s.d. = 13) was much younger than that of patients without mental illnesses (70 years old, s.d. = 13), who would have a longer disease duration and a higher risk for diabetes complications.
Although the findings of significantly increased risks for all-cause mortality and macrovascular complications among patients with schizophrenia lent evidence to support our hypothesis, the lack of increased risk for microvascular complications was unexpected. One possible explanation is that patients with schizophrenia might die as a result of competing causes, such as unnatural death and infectious diseases, Reference Saha, Chant and McGrath23 before the development of diabetes complications. Another possible explanation is that patients with diabetes and schizophrenia may have similar levels of glycaemic control to the general diabetes population. Intensive glycaemic control is the key factor to reduce the development or microvascular complications. 2 Three cross-sectional studies showed that the HbA1c level in patients with schizophrenia was similar to or lower than that in those without severe mental illnesses. Reference Dixon, Kreyenbuhl, Dickerson, Donner, Brown and Wohlheiter9–Reference Weiss, Henderson, Weilburg, Goff, Meigs and Cagliero11 Although one retrospective cohort study showed that patients with schizophrenia were more likely to be admitted to hospital or visit emergency department for hyperglycaemia or hypoglycaemia, Reference Becker and Hux12 this study did not distinguish hyperglycaemia from hypoglycaemia. Patients with diabetes and schizophrenia might have lower average blood glucose, thereby being associated with higher risk for hypoglycaemia rather than hyperglyacemia. There is little evidence to suggest that patients with diabetes and schizophrenia have poorer glycaemic control than those without schizophrenia.
The risk of macrovascular complications might not be reduced by intensive glycaemic control. Reference Skyler, Bergenstal, Bonow, Buse, Deedwania and Gale24 Risk factors, such as smoking, hypertension or dyslipidaemia might be more influential. Reference Skyler, Bergenstal, Bonow, Buse, Deedwania and Gale24,Reference Eliasson25 Individuals with schizophrenia have a higher risk of unhealthy lifestyle behaviours, such as tobacco smoking or physical inactivity. Reference Brown, Birtwistle, Roe and Thompson26 Although we could not directly measure lifestyle behaviours in this study, we found that patients with schizophrenia had a higher prevalence of dyslipidaemia, alcohol- or substance-related disorders, as well as chronic pulmonary diseases, which are related to tobacco smoking. These unhealthy lifestyle behaviours might be important contributors to the macrovascular complications and mortality in patients with both diabetes and schizophrenia.
In the subgroup analysis, we found that women had a greater risk for mortality associated with schizophrenia than did men. Previous studies have shown that the effect of diabetes on the risk of coronary disease mortality is significantly greater for women than men. Reference Lee, Cheung, Cape and Zinman27 Furthermore, the adverse changes in lipid profile and blood pressure were more obvious in women with diabetes than those in men with diabetes. Reference Howard, Cowan, Go, Welty, Robbins and Lee28 Therefore, there might be a synergistic effect of schizophrenia and female gender on the risk of mortality. Schizophrenia per se might directly increase the risk of diabetes complications. Schizophrenia is a link to dysregulation of the hypothalamic–pituitary–adrenal axis. Reference Walker, Mittal and Tessner29 Increased cortisol secretion has also been reported to be related to diabetes complications. Reference Chiodini, Adda, Scillitani, Coletti, Morelli and Di Lembo30 Thus, the abnormality of the hypothalamic–pituitary–adrenal axis might be one of the possible mechanisms for the associations between schizophrenia and diabetes complications. In addition, inflammatory cytokines associated with the pathogenesis of schizophrenia Reference Leonard, Schwarz and Myint31 might also further increase the risk of diabetes complications. Reference King32
Use of antipsychotics is associated with elevated blood glucose level and the development of diabetes among patients with schizophrenia. Reference Haupt and Newcomer33 In addition, antipsychotic exposure might be associated with stroke and cardiovascular adverse effect. Reference Wu, Wang, Gau, Tsai and Cheng34,Reference Buckley and Sanders35 However, antipsychotic treatment can improve psychosocial functioning and self-care behaviours in patients with schizophrenia, thereby having beneficial effects on health outcomes. Evidence shows that long-term antipsychotic treatment is associated with lower mortality than that found in those not receiving this treatment. Reference Tiihonen, Lonnqvist, Wahlbeck, Klaukka, Niskanen and Tanskanen36 Thus, the role of antipsychotic drugs in the progression of diabetes complications remains unclear and warrants further investigation.
Quality of diabetes care
Could patients with diabetes and schizophrenia have poorer quality of diabetes care, thereby having a higher risk of macrovascular complications and mortality? Several studies have shown that severe mental illnesses might have a negative impact on the quality of diabetes care. Reference Mitchell, Malone and Doebbeling37,Reference Goldberg, Kreyenbuhl, Medoff, Dickerson, Wohlheiter and Fang38 However, in this study, we found most of the quality indicators of diabetes care for patients with schizophrenia were better than or equal to that for patients without schizophrenia, except the rate of retina examination. These findings are in line with previous studies that showed that there was little difference between patients with diabetes with and without schizophrenia in terms of the rates of receipt for tests for detecting diabetes complications. Reference Krein, Bingham, McCarthy, Mitchinson, Payes and Valenstein10,Reference Desai, Rosenheck, Druss and Perlin39 Furthermore, we found that patients with diabetes and schizophrenia had better antidiabetic medication adherence than those without schizophrenia, which is compatible with one cross-sectional survey using Veterans Affairs health system administrative data. Reference Kreyenbuhl, Dixon, McCarthy, Soliman, Ignacio and Valenstein40 The quality of diabetes care in patients with schizophrenia varies across healthcare systems. Reference Krein, Bingham, McCarthy, Mitchinson, Payes and Valenstein10,Reference Weiss, Henderson, Weilburg, Goff, Meigs and Cagliero11,Reference Goldberg, Kreyenbuhl, Medoff, Dickerson, Wohlheiter and Fang38–Reference Holt, Bushe and Citrome40 Taiwan's universal NHI, with the characteristics of very low copayment and high utilisation rate, greatly reduces health disparities. Reference Wen, Tsai and Chung41 Moreover, patients with schizophrenia can get anti-diabetic medications and screening tests in psychiatric settings in Taiwan. Therefore, the quality of diabetes care was not an important contributing factor for poor clinical outcome among patients with schizophrenia.
Strengths and limitations
The strengths of this study are the novelty of analysing the associations between schizophrenia and diabetes complications, the use of a nationwide representative cohort with patients newly diagnosed with diabetes, clear temporal relationships, a very large sample and a well-defined method for identifying complications of diabetes. However, several limitations should be considered. First, patients might have untreated hyperglycaemia for a long period before the diagnosis of diabetes. Given that diabetes mellitus has an insidious onset and may not be diagnosed immediately, the disease duration of diabetes mellitus is likely to be underestimated. In this study, we found that patients with schizophrenia utilised healthcare systems more frequently than those without schizophrenia; therefore, patients with schizophrenia have more opportunities for diabetes screening thereby being diagnosed at an earlier stage of diabetes mellitus. If this is the case, the risk of complications and mortality in patients with diabetes and schizophrenia might be underestimated. Second, we identified and confirmed patients with schizophrenia based on in-patient claims records. Patients with schizophrenia who were treated only in out-patient settings were not enrolled in the study; therefore, we could not generalise our findings to patients with schizophrenia of mild severity. Third, the accuracy of diagnosis of microvascular complications and peripheral vascular diseases was not validated in the NHIRD; however, we used procedure claims to confirm the ambulatory diagnostic code or used only in-patient claims to minimise the possibility of misclassifications. Fourth, information for the causes of mortality in the NHIRD were not available. The role of diabetes in the high mortality rate in schizophrenia remains unclear. Further research should explore the relationship between diabetes and cause-specific mortality among patients with schizophrenia. Finally, several important clinical factors, such as age at schizophrenia onset, were not measured in this study because of the short observational period prior to the diabetes diagnosis. In addition, other factors, such as education, smoking, body weight or exercise, were also not available from the NHIRD. The roles of these factors on the associations between schizophrenia and diabetes complications warrant further investigation.
Clinical implications and further research
Patients with diabetes have a higher risk of macrovascular complications and mortality if they are also have schizophrenia. However, the quality of diabetes care among patients with schizophrenia was better than or equal to that of those without schizophrenia. Unhealthy lifestyle behaviours might be important contributors to poor diabetes outcomes among people with schizophrenia. Of note, patients with schizophrenia might be less likely to receive standard diabetes education and cues from health providers about glucose monitors. Reference Goldberg, Kreyenbuhl, Medoff, Dickerson, Wohlheiter and Fang38 Therefore, lifestyle interventions for exercise, diet control and tobacco cessation should be emphasised. Further research should also focus on effective interventions to reduce diabetes complications in patients with schizophrenia.
Funding
This work was supported by grants from Far Eastern Memorial Hospital (FEMH-2013-C-005), and from National Bureau of Controlled Drugs, Department of Health (NBCD-97014), Taiwan. The Far Eastern Memorial Hospital and Taiwan's National Bureau of Controlled Drugs had no role in the design and conduct of the study; in the collection, analysis, and interpretation of the data; or in the preparation, review or approval of the manuscript.
Acknowledgements
This study is based in part on data from the National Health Insurance Research Database provided by the Bureau of National Health Insurance of the Department of Health, Taiwan, and managed by National Health Research Institutes, Taiwan. The interpretation and conclusions contained in this article do not represent those of the Bureau of National Health Insurance, the Department of Health, or the National Health Research Institutes.
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