Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2014 Dec 31;9(12):e116436. doi: 10.1371/journal.pone.0116436

Poor Clinical Outcomes among Pneumonia Patients with Depressive Disorder

Li-Ting Kao 1,2,, Shih-Ping Liu 3, Herng-Ching Lin 2,4, Hsin-Chien Lee 5,#, Ming-Chieh Tsai 4,6,, Shiu-Dong Chung 2,7,*,#
Editor: James D Chalmers8
PMCID: PMC4281227  PMID: 25551389

Abstract

Background

Some studies suggested that psychological stress may be associated with the severity and duration of infectious diseases. In this population-based study, we investigated associations between depressive disorder (DD) and pneumonia outcomes in Taiwan with a large-scale database from the National Health Insurance.

Methods

Our study defined 112,198 patients who were hospitalized with a principal diagnosis of pneumonia. We defined their admission date for treatment of pneumonia as the index date. Subsequently, we selected 2,394 patients with DD within 3 years prior to their index date and 11,970 matched patients without DD. We carried out separate conditional logistic regressions to explore the association of clinical pneumonia treatment outcome (ICU admission, use of mechanical ventilation, acute respiratory failure and in-hospital death) with previously diagnosed DD.

Results

Patients with DD had a significantly higher probability of an intensive care unit admission (18.1% vs. 12.9%; p<0.001), need for mechanical ventilation (21.9% vs. 18.1%; p<0.001) and in-hospital death (10.4% vs. 9.0%; p = 0.025) than patients without DD. The study showed that pneumonia patients with DD were respectively 1.41- (95% CI: 1.25∼1.59, p<0.001), 1.28- (95% CI: 1.14∼1.43, p<0.001), and 1.17- times (95% CI: 1.01∼1.36, p = 0.039) greater odds of being admitted to the ICU, need for mechanical ventilation, and in-hospital death than patients without DD after adjusting for monthly income, urbanization level, geographic region and Charlson Comorbidity Index score.

Conclusions

In conclusion, we found that pneumonia patients with DD were associated with poor treatment outcomes compared to patients without DD.

Introduction

Pneumonia is a major cause of hospitalization and is frequently associated with great morbidity, mortality, and utilization of healthcare resources [1], [2]. In the US, pneumonia annually affects more than four million adults and accounts for more than one million hospital admissions [3]. Recently, some studies attempted to explore the relationship between pneumonia and chronic diseases [4][6]. Moreover, a study in the United States has found that the hospitalization for pneumonia increased the risk of subsequent depression, functional disability and cognitive impairment [7]. However, few studies have explored the association between mental disorders and subsequent pneumonia outcomes [8].

Depressive disorder (DD) is a widespread chronic disease which is associated with substantial mortality, comorbidities, and disabilities [9][12]. Numerous studies reported that depression and psychological stress can induce dysfunction of the immune system and modulate the production of proinflammatory cytokines [13][15]. These changes in the human body are large enough to be clinically significant [14]. For example, one recent population-based study reported that depression was associated with subsequent hospitalization for pneumonia [16]. In addition, some studies found that depression may contribute to delayed wound healing and increase complication risks after an injury [17], [18].

Although various studies found a relationship among depression, infectious diseases, and associated immunological mechanisms, very few studies have specifically investigated outcomes of hospitalization due to pneumonia among subjects diagnosed with DD by physicians. One previous study found that the use of antidepressants or benzodiazepines was related to a severe prognosis of total community-acquired lower respiratory tract infections (LRTIs) in the elderly aged ≥60 years [19]. However, it still remains unclear about detailed treatment outcomes for hospitalizations due to pneumonia in adults with and those without DD.

This population-based study hypothesized that the pneumonia patients with DD might have poor clinical outcomes in comparison with the patients without DD. The aim of this study was to investigate disparate clinical outcomes (i.e., intensive care unit (ICU) admission, use of mechanical ventilation, acute respiratory failure, and in-hospital death) of pneumonia patients with or those without DD.

Methods

Database

Data for this population-based retrospective study were taken from the Taiwan Longitudinal Health Insurance Database 2000 (LHID2000). This study was exempt from full review by the Institutional Review Board of National Defense Medical Center because the LHID2000 consists of de-identified secondary data released to the public for research purposes. Taiwan's National Health Insurance (NHI) program, which was initiated in 1995, provides comprehensive and affordable medical care for all its citizens. The LHID2000 contains claims data of 1,000,000 individuals randomly selected from the 2000 Registry of Beneficiaries (n = 23.72 million) of the Taiwan NHI program. The LHID2000 enables researchers to trace all medical services of these 1,000,000 enrollees since the beginning of Taiwan's NHI program. The LHID2000, which was open to the researchers in Taiwan, was available from the NHRI (http://nhird.nhri.org.tw/date_01.html). High validity of data derived from the Taiwanese NHI program was demonstrated by many researchers and the Taiwan National Health Research Institute [20], [21].

Study Sample

We first identified 112,198 patients who were hospitalized with a principal diagnosis of pneumonia (ICD-9-CM 480∼483.8, 485∼487.0) from January 2005 to December 2011. We selected only the first episode for inclusion in this study (n = 59,736) if a patient had more than one admission for treatment of pneumonia during the study period. We then excluded patients under 18 years of age (n = 13,385) in order to limit the study to the adult population. As a result, 46,351 pneumonia patients met our selection criteria. We defined their admission date for treatment of pneumonia as the index date. Of the selected pneumonia patients, 2,860 had received a diagnosis of DD (ICD-9-CM codes 296.2, 296.3, 300.4, and 311) within 3 years prior to their index date. A 3-year period was chosen to examine the association because DD tended to be chronic with the median time to remission being close to one year in previous studies, Furthermore, we also excluded patients who were diagnosed with other psychiatric disorders (n = 466) such as bipolar disorder (ICD-9-CM codes 296.1), schizophrenia (ICD-9-CM codes 295) and anxiety disorders (ICD-9-CM codes 309.81∼309.83, 300.01, 300.02, 300.1, and 300.2) because these disorders have been found to be associated with worse clinical outcomes among subjects hospitalized for medical-surgical conditions. Finally, we assigned 2,394 pneumonia patients with DD as the study group herein.

We further extracted a comparison group from the remaining 43,491 pneumonia patients. We randomly selected 11,970 pneumonia patients (five for each patient with DD) matched with the study group in terms of gender, age (18∼24, 25∼34, 35∼44, 45∼54, 55∼64, 65∼74 and ≧75 years), and the year of the index date using the SAS (SAS, Cary NC, USA) proc surveyselect program. We also ensured that none of the selected comparison patients had any medical records of DD or other psychiatric disorders such as bipolar disorder, schizophrenia and anxiety disorders since the initiation of the NHI program in 1995. Therefore, we could not rule out the possibility that the selected study patients may have had DD or other psychiatric disorders prior to 1995.

Variables of Interest

The primary study outcomes included ‘ICU admission’, ‘use of mechanical ventilation’, ‘acute respiratory failure’, and ‘in-hospital death’. They were all binary variables. In addition, ‘in-hospital death’ was defined as ‘the death of a patient at any time after admission if the patient did not leave the hospital’.

Statistical Analysis

All analyses were conducted using the SAS system. We used Chi-squared tests to compare differences in patients' monthly income, geographic location (northern, central, eastern, and southern Taiwan), urbanization level (5 levels, with 1 the most and 5 the least urbanized), and Charlson comorbidity index (CCI) score between cases and controls. The CCI was used to quantify preexisting comorbidities as a means of adjusting for the higher mortality risks associated with 19 medical conditions (congestive heart failure, myocardial infarction, liver disease, cancer, dementia, etc.).

We carried out separate conditional logistic regressions (stratified by gender, age group, index year, and hospital) to explore the association of clinical pneumonia treatment outcome with previously diagnosed DD. A p value of <0.05 was used to assess statistical significance in this study.

Results

Of the 14,364-person study sample, the mean age was 68.8 years with a standard deviation of 16.9 years. Demographic characteristics and CCI scores of the study and comparison groups are presented in Table 1. After matching for gender, age group, and the year of the index date, no significant difference was observed in CCI scores between patients with and those without DD. However, there were significant differences in monthly income (p<0.001) and geographic region (p = 0.006) between patients with and those without DD.

Table 1. Demographic characteristics of pneumonia patients with and those without depressive disorder (DD) in Taiwan in 2005∼2011 (n = 14,364).

Variable Patients with DD (n = 2,394) Comparison group (n = 11,970) p value
Total no. Percent (%) Total No. Percent (%)
Gender 1.000
Male 1,274 53.2 6,370 53.2
Female 1,120 46.8 5,600 46.8
Age (years) 1.000
18∼24 36 1.5 180 1.5
25∼34 85 3.6 425 3.6
35∼44 144 6.0 720 6.0
45∼54 206 8.6 1,030 8.6
55∼64 314 13.1 1,570 13.1
65∼74 471 19.7 2,355 19.7
≧75 1,138 47.5 5,690 47.5
Monthly income (US$) <0.001
$1∼530 1,532 64.0 6,988 58.4
$530∼830 690 28.8 4,028 33.7
≥$830 172 7.2 954 8.0
Urbanization level 0.053
1 (most urbanized) 594 24.8 2,786 23.3
2 631 26.4 2,942 24.6
3 349 14.6 1,797 15.0
4 402 16.8 2,168 18.1
5 (least urbanized) 418 17.5 2,277 19.0
Geographic region 0.006
Northern 978 40.9 4,886 40.8
Central 543 22.7 3,010 25.2
Southern 795 33.2 3,618 30.3
Eastern 78 3.3 456 3.8
Charlson Comorbidity Index score 0.254
0 911 38.1 4,544 38.0
1 749 31.3 3,777 31.6
2 328 13.7 1,483 12.4
3 195 8.2 977 8.2
≥4 211 8.8 1,189 9.9

Table 2 show the distribution of treatment outcomes between pneumonia patients with and those without DD. Patients with DD had significantly higher probabilities of ICU admission (18.1% vs. 12.9%; p<0.001), need for mechanical ventilation (21.9% vs. 18.1%; p<0.001) and in-hospital death (10.4% vs. 9.0%; p = 0.025) than patients without DD. However, there was no significantly difference in the outcome of acute respiratory failure.

Table 2. Frequencies and proportions of adverse clinical outcomes for pneumonia patients with or those without depressive disorder (DD) in Taiwan.

Presence of adverse clinical outcomes Total sample (n = 14,364) Subject with DD (n = 2,394) Comparison group (n = 11,970)
n (%) n (%) n (%)
Intensive care unit admission 1,976 (13.8) 434 (18.1) 1,542 (12.9)
Acute respiratory failure 2,732 (19.0) 481 (20.1) 2,251 (18.8)
Need for mechanical ventilation 2,690 (18.7) 524 (21.9) 2,166 (18.1)
In-hospital death 1,326 (9.2) 250 (10.4) 1,076 (9.0)

Table 3 presents the crude odds ratios (ORs) and 95 confidence intervals (CIs) of ICU admission, acute respiratory failure, the need for mechanical ventilation, and in-hospital death between pneumonia patients with and those without DD. Separate conditional logistic regressions (stratified by gender, age group, index year,and hospital) revealed that patients with DD were 1.43- (95% CI: 1.26∼1.61, p<0.001), 1.30- (95% CI: 1.16∼1.45, p<0.001), and 1.18- times (95% CI: 1.02∼1.37, p = 0.025) greater odds of being admitted to the ICU, need for mechanical ventilation, and in-hospital death compared to patients without DD. Table 3 further shows adjusted ORs of ICU admission, acute respiratory failure, the use of mechanical ventilation, and in-hospital death between pneumonia patients with and those without DD. Conditional logistic regression analyses (stratified by gender, age group, index year, and hospital) suggested that patients with DD were 1.41- (95% CI: 1.25∼1.59, p<0.001), 1.28- (95% CI: 1.14∼1.43, p<0.001), and 1.17- times (95% CI: 1.01∼1.36, p = 0.039) greater odds of being admitted to the ICU, need for mechanical ventilation, and in-hospital death than patients without DD after adjusting for monthly income, urbanization level, geographic region and Charlson Comorbidity Index score.

Table 3. Crude and adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for adverse clinical outcomes for pneumonia patients with or those without depressive disorder (DD) in Taiwan.

Presence of adverse clinical outcomes Subject with DD (n = 2,394) Comparison group (n = 11,970)
Intensive care unit admission
OR (95% CI) 1.43*** (1.26∼1.61) 1.00
Adjusted OR (95% CI) 1.41*** (1.25∼1.59) 1.00
Acute respiratory failure
OR (95% CI) 1.09 (0.98∼1.23) 1.00
Adjusted OR (95% CI) 1.08 (0.96∼1.21) 1.00
Need for mechanical ventilation
OR (95% CI) 1.30*** (1.16∼1.45) 1.00
Adjusted OR (95% CI) 1.28*** (1.14∼1.43) 1.00
In-hospital death
OR (95% CI) 1.18* (1.02∼1.37) 1.00
Adjusted OR (95% CI) 1.17* (1.01∼1.36) 1.00

Note:

* p<0.05;

** p<0.01;

*** p<0.001;

The adjusted OR was calculated by a conditional logistic regression which was adjusted for monthly income, urbanization level, geographic region and Charlson Comorbidity Index score.

Discussion

To date, numerous studies have reported the relationship between depression and pneumonia. For example, one study in the United States has concluded that the hospitalization for pneumonia increased the risk of subsequent depression (OR: 1.63; 95% CI: 1.06∼2.51) and moderate-to-severe cognitive impairment (OR: 2.46; 95% CI: 1.60∼3.79) [7]. On the other hand, a recent population-based study found that depression was independently associated with 1.28-times greater odds of hospitalization for pneumonia in comparison to those without depression. This relationship persisted after adjusting for baseline cognitive and functional status (OR: 1.24; 95% CI: 1.03∼1.50) [16]. Both studies have consistently established the relationship between depression and pneumonia. The present study further assessed treatment outcomes for pneumonia between patients with or those without DD. We found that pneumonia patients with DD had higher odds of poor clinical outcomes, including ICU admission, the need for mechanical ventilation, and in-hospital death compared to pneumonia patients without DD.

Aggravated treatment outcomes in infected patients with depression were reported in other studies. They found that psychological stress or depression was associated with infectious diseases, and also affected wound healing and complication risks [16][18], [22][25]. Moreover, some studies indicated that depression and psychological stress may induce an immune function imbalance and stimulate the production of proinflammatory cytokines, such as interleukin (IL)-1, IL-6 and tumor necrosis factor (TNF) [13][15]. Additionally, levels of those proinflammatory cytokines were associated with disease degeneration [26], [27]. One meta-analysis revealed that an elevated level of inflammatory markers might reduce the lung function of patients with COPD [26]. Another study also showed that a higher circulating concentration of IL-6 indicated exacerbation of a hemodynamic condition and increasing heart failure symptoms in patients with congestive heart failure [27]. In addition, Yende et al. found a relationship between higher levels of baseline TNF and IL-6 in the systemic circulation of elderly individuals and an increased risk of subsequently developing community-acquired pneumonia (CAP) requiring hospitalization [28]. They reported that the highest tertiles of TNF and IL-6 were independent predictors of CAP susceptibility, and the adjusted ORs were 1.6 (95% CI: 1.0∼2.7) and 1.7 (95% CI: 1.1∼2.8). Consequently, increasing levels of proinflammatory cytokines in patients with DD might potentially be the reason for the poor pneumonia treatment outcomes in our study.

In addition, the negative attitude of patients to receiving medical therapy, such as worse adherence for chronic medical conditions and delayed treatment-seeking might be potential factors which affected pneumonia outcome in subjects with DD. A meta-analysis study reported that the odds were 3 times (95% CI: 1.96∼4.89) higher that depressed subjects would be noncompliant with medical treatment recommendations than non-depressed subjects [29]. Moreover, other studies have revealed that patients with mental disorders could delay help-seeking behavior, reducing the likelihood of detection and diagnosis [30]. Therefore, subjects with DD may be predisposed to worse disease outcomes when confronted with acute infection such as pneumonia.

A specific strength of our study is the use of a population-based dataset in Taiwan. This feature afforded sufficient statistical power and an adequate sample size to detect differences in pneumonia treatment outcomes between the two groups after adjusting for confounders.

Nevertheless, there are several limitations of this study. First, the NHIRD database which we used in this study did not provide lifestyle, health information or the disease severity of subjects, such as the intensity of tobacco use, drug abuse, alcohol consumption, body-mass index or the CURB-65 Pneumonia Severity Score which might possibly affect the relationship between DD and treatment outcomes for respiratory diseases. Second, this database might not entirely represent patients with DD. Some subjects with DD might not have been searching for healthcare services or have received medication therapy for psychiatric disorders, because they thought that associated treatments were not necessary or the disease was embarrassing. Therefore, ICD-9-CM codes which were diagnosed by physicians might not include some subjects with mild to moderate DD. The potential effects of DD might be under-estimated in the study. Third, our study lacked the data about timing of the receiving of antibiotics for pneumonia. It may be one of the plausible factors which explained acute respiratory failure secondary to pneumonia and/or pneumonia-related mortality. Finally, most of the patients included in our study were of Chinese ethnicity, so the ability to generalize the results to other ethnic groups is not certain.

Our population-based study found that pneumonia patients with DD were associated with an increased risk of poor treatment outcomes, including ICU admission, the need for mechanical ventilation and in-hospital death compared to pneumonia patients without DD. We suggest that medical professionals and policymakers should provide suitable mental health care to the subjects with acute infection by focusing on existing healthcare programs and health policy. It might be ultimately beneficial in improving clinical outcomes of the pneumonia for subjects with DD.

Acknowledgments

This study was supported partially by a grant from the Ministry of Science and Technology in Taiwan (Project No. 102-2632-B-038-001-MY3). This study is based in part on data from the National Health Insurance Research Database provided by the Bureau of National Health Insurance, Department of Health, Taiwan and managed by the National Health Research Institutes. The interpretations and conclusions contained herein do not represent those of the Bureau of National Health Insurance, Department of Health, or the National Health Research Institutes.

Data Availability

The authors confirm that all data underlying the findings are fully available without restriction. Data were de-identified by the Bureau of National Health Insurance of Taiwan, and then sent to the National Health Research Institutes. The LHID2000 database, which is owned by the NHRI, can be accessed at the following URL: http://nhird.nhri.org.tw/date_01.html.

Funding Statement

This study was supported partially by a grant from the Ministry of Science and Technology in Taiwan (Project No. 102-2632-B-038-001-MY3). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1. Barlow GD, Lamping DL, Davey PG, Nathwani D (2003) Evaluation of outcomes in community-acquired pneumonia: a guide for patients, physicians, and policy-makers. Lancet Infect Dis 3:476–488. [DOI] [PubMed] [Google Scholar]
  • 2. Gutierrez F, Masia M (2008) Improving outcomes of elderly patients with community-acquired pneumonia. Drugs Aging 25:585–610. [DOI] [PubMed] [Google Scholar]
  • 3. Polverino E, Torres Marti A (2011) Community-acquired pneumonia. Minerva Anestesiol 77:196–211. [PubMed] [Google Scholar]
  • 4. Kornum JB, Thomsen RW, Riis A, Lervang HH, Schonheyder HC, et al. (2007) Type 2 diabetes and pneumonia outcomes: a population-based cohort study. Diabetes Care 30:2251–2257. [DOI] [PubMed] [Google Scholar]
  • 5. McAlister FA, Majumdar SR, Blitz S, Rowe BH, Romney J, et al. (2005) The relation between hyperglycemia and outcomes in 2,471 patients admitted to the hospital with community-acquired pneumonia. Diabetes Care 28:810–815. [DOI] [PubMed] [Google Scholar]
  • 6. Restrepo MI, Mortensen EM, Pugh JA, Anzueto A (2006) COPD is associated with increased mortality in patients with community-acquired pneumonia. Eur Respir J 28:346–351. [DOI] [PubMed] [Google Scholar]
  • 7. Davydow DS, Hough CL, Levine DA, Langa KM, Iwashyna TJ (2013) Functional disability, cognitive impairment, and depression after hospitalization for pneumonia. Am J Med 126:615–624.e615. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Chen YH, Lin HC, Lin HC (2011) Poor clinical outcomes among pneumonia patients with schizophrenia. Schizophr Bull 37:1088–1094. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Hasin DS, Goodwin RD, Stinson FS, Grant BF (2005) Epidemiology of major depressive disorder: Results from the national epidemiologic survey on alcoholism and related conditions. Arch Gen Psychiatry 62:1097–1106. [DOI] [PubMed] [Google Scholar]
  • 10. Insel TR, Charney DS (2003) Research on major depression: strategies and priorities. JAMA 289:3167–3168. [DOI] [PubMed] [Google Scholar]
  • 11. Kessler RC, Berglund P, Demler O, Jin R, Koretz D, et al. (2003) The epidemiology of major depressive disorder: Results from the national comorbidity survey replication (ncs-r). JAMA 289:3095–3105. [DOI] [PubMed] [Google Scholar]
  • 12. Lepine JP, Briley M (2011) The increasing burden of depression. Neuropsychiatr Dis Treat 7:3–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Godbout JP, Glaser R (2006) Stress-induced immune dysregulation: implications for wound healing, infectious disease and cancer. J Neuroimmune Pharmacol 1:421–427. [DOI] [PubMed] [Google Scholar]
  • 14. Kiecolt-Glaser JK, Glaser R (2002) Depression and immune function: central pathways to morbidity and mortality. J Psychosom Res 53:873–876. [DOI] [PubMed] [Google Scholar]
  • 15. Kiecolt-Glaser JK, McGuire L, Robles TF, Glaser R (2002) Emotions, morbidity, and mortality: new perspectives from psychoneuroimmunology. Annu Rev Psychol 53:83–107. [DOI] [PubMed] [Google Scholar]
  • 16. Davydow DS, Hough CL, Zivin K, Langa KM, Katon WJ (2014) Depression and risk of hospitalization for pneumonia in a cohort study of older Americans. J Psychosom Res [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Kiecolt-Glaser JK, Marucha PT, Malarkey WB, Mercado AM, Glaser R (1995) Slowing of wound healing by psychological stress. Lancet 346:1194–1196. [DOI] [PubMed] [Google Scholar]
  • 18. Kiecolt-Glaser JK, Page GG, Marucha PT, MacCallum RC, Glaser R (1998) Psychological influences on surgical recovery. Perspectives from psychoneuroimmunology. Am Psychol 53:1209–1218. [DOI] [PubMed] [Google Scholar]
  • 19. Hak E, Bont J, Hoes AW, Verheij TJ (2005) Prognostic factors for serious morbidity and mortality from community-acquired lower respiratory tract infections among the elderly in primary care. Fam Pract 22:375–380. [DOI] [PubMed] [Google Scholar]
  • 20. Cheng CL, Kao YH, Lin SJ, Lee CH, Lai ML (2011) Validation of the National Health Insurance Research Database with ischemic stroke cases in Taiwan. Pharmacoepidemiol Drug Saf 20:236–242. [DOI] [PubMed] [Google Scholar]
  • 21. Kang JH, Chen YH, Lin HC (2010) Comorbidity profiles among patients with ankylosing spondylitis: a nationwide population-based study. Ann Rheum Dis 69:1165–1168. [DOI] [PubMed] [Google Scholar]
  • 22. Cohen S, Tyrrell DA, Smith AP (1991) Psychological stress and susceptibility to the common cold. N Engl J Med 325:606–612. [DOI] [PubMed] [Google Scholar]
  • 23. Cohen S, Frank E, Doyle WJ, Skoner DP, Rabin BS, et al. (1998) Types of stressors that increase susceptibility to the common cold in healthy adults. Health Psychol 17:214–223. [DOI] [PubMed] [Google Scholar]
  • 24. Stone AA, Bovbjerg DH, Neale JM, Napoli A, Valdimarsdottir H, et al. (1992) Development of common cold symptoms following experimental rhinovirus infection is related to prior stressful life events. Behav Med 18:115–120. [DOI] [PubMed] [Google Scholar]
  • 25. Leserman J, Jackson ED, Petitto JM, Golden RN, Silva SG, et al. (1999) Progression to AIDS: the effects of stress, depressive symptoms, and social support. Psychosom Med 61:397–406. [DOI] [PubMed] [Google Scholar]
  • 26. Gan WQ, Man SF, Senthilselvan A, Sin DD (2004) Association between chronic obstructive pulmonary disease and systemic inflammation: a systematic review and a meta-analysis. Thorax 59:574–580. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Petretta M, Condorelli GL, Spinelli L, Scopacasa F, de Caterina M, et al. (2000) Circulating levels of cytokines and their site of production in patients with mild to severe chronic heart failure. Am Heart J 140:E28. [DOI] [PubMed] [Google Scholar]
  • 28. Yende S, Tuomanen EI, Wunderink R, Kanaya A, Newman AB, et al. (2005) Preinfection systemic inflammatory markers and risk of hospitalization due to pneumonia. Am J Respir Crit Care Med 172:1440–1446. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. DiMatteo MR, Lepper HS, Croghan TW (2000) Depression is a risk factor for noncompliance with medical treatment: meta-analysis of the effects of anxiety and depression on patient adherence. Arch Intern Med 160:2101–2107. [DOI] [PubMed] [Google Scholar]
  • 30. Prince M, Patel V, Saxena S, Maj M, Maselko J, et al. (2007) No health without mental health. The Lancet 370:859–877. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The authors confirm that all data underlying the findings are fully available without restriction. Data were de-identified by the Bureau of National Health Insurance of Taiwan, and then sent to the National Health Research Institutes. The LHID2000 database, which is owned by the NHRI, can be accessed at the following URL: http://nhird.nhri.org.tw/date_01.html.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES