Skip to main content
Download PDF

Increased risk of pulmonary and extrapulmonary tuberculosis infection in patients with polycystic kidney disease: a nationwide population-based study with propensity score-matching analysis

Journal of Translational Medicine volume 19, Article number: 253 (2021) Cite this article

Abstract

Background

Polycystic kidney disease (PKD) is a common renal disorder affecting approximately 1 in 1000 live births. Tuberculosis (TB) is an infectious disease worldwide. This study investigated the risk of TB infection in patients with PKD.

Methods

A nationwide population-based cohort study was performed using Taiwan’s National Health Insurance Research Database. We used patients’ hospitalization files for the entire analysis during 2000–2012. As per diagnosis, we divided patients into PKD and non-PKD cohorts and the major outcome was TB infection.

Results

A total of 13,540 participants with 6770 patients in each cohort were enrolled. The PKD cohort had a higher risk of TB infection than did the non-PKD cohort after adjusting for age, sex, and comorbidities (adjusted hazard ratio (aHR) = 1.91, 95% confidence interval [CI] = 1.51–2.43). When classifying by sites of pulmonary TB (PTB) and extrapulmonary TB (EPTB), the PKD cohort demonstrated a significantly higher risk of EPTB (aHR = 2.44, 95% CI = 1.46–4.08) as well as a risk of PTB (aHR = 1.69, 95% CI = 1.29–2.22). When stratified by the presence or absence of a comorbidity, high TB infection risk was noted in the PKD patients without any comorbidity (HR = 2.69, 95% CI = 1.69–4.30).

Conclusions

Taken together, our findings suggest that PKD is associated with a 1.91-fold increased risk of TB infection. Medical professionls should maintain a high index of suspicion in daily practice for patients with PKD, particularly those with EPTB infection.

Background

Polycystic kidney disease (PKD), the most common form of renal disorders, is characterized by gradually enlarged kidneys filled with growing cysts. Its incidence was estimated at 1 in every 400–1000 live births by a study published in 1957 [1]. Recent studies from the United States and Europe have reported that the prevalence of PKD ranges from 3.3 to 4.6 per 10,000 [2,3,4,5] and that it is the fourth leading cause of end-stage renal disease (ESRD) after diabetes mellitus, hypertension, and glomerulonephritis in the United States [2].

PKD is the most common congenital renal disease caused by a mutation in the PKD1 gene on chromosome 16 and PKD2 gene on chromosome 4 accounting for 85% and 15% of the disease, respectively [6]. The monogenetic mutation leads to significant insufficiency of the phenotype protein polycystin (PC)1 or PC2. Patients with PKD1 mutations exhibited a more severe phenotype than did those with PKD2 mutations, and those with PKD1 mutations present with earlier onset of clinical problems and ESRD [7]. The renal manifestations of PKD include urine-concentrating defect, hematuria, nephrolithiasis, urinary tract infection, flank or abdominal pain, hypertension, proteinuria, chronic kidney disease, and ESRD [8,9,10]. Approximately 5% of the total number of ESRD cases are caused by PKD in the United States [11, 12].

Patients with PKD were suggested to exhibit various extrarenal manifestations resulting from the gene mutations of PC1 or PC2. The predominant abnormalities are cerebral aneurysms, hepatic and pancreatic cysts, cardiac valve disease, colonic diverticula, abdominal wall and inguinal hernia, seminal vesicle cysts, bronchiectasis, and an increased risk of cancer including renal cell carcinoma [8, 13,14,15,16].

Increasing evidence suggests that PKD is associated with underlying immune dysregulation. Mutations of PC1 and PC2 are observed to be associated with decreased proliferation of immortalized lymphoblastoid cells in PKD. PKD is clinically characterized by severe lymphopenia, especially with low blood CD8+ T and B lymphocytes, irrespective of kidney function [17].

Tuberculosis (TB) is an emerging infectious disease and is currently prevalent in more than one-third of the world’s population [18]. Host resistance to infection from Mycobacterium tuberculosis is significantly mediated by cellular immunity. Among various cells with adaptive immunity, T cells have been considered to play a crucial role in preventing TB infection, and animal studies have proved that CD4 + T cells were involved in providing resistance against M. tuberculosis [19]. For example, the increased risk of TB in HIV infection with depleted CD4 + T cells also suggests the importance of these cells in protection against TB.

A study reported that patients with PKD displayed lymphopenia including low counts of T and B cells [17]. In this study, we hypothesized that patients with PKD are more prone to developing TB infection. However, the risk of TB infection in patients with PKD remains unknown. Therefore, this study examined the risk of TB infection in patients with PKD.

Method

Data source

In 1995, Taiwan started a single-payer National Health Insurance (NHI) program, and nearly 99.9% of Taiwan’s citizens have been enrolled in this program. The National Health Insurance Research Database (NHIRD) includes the inpatient, outpatient, medical treatment, medication, and other medical service records of patients enrolled in the NHI program. To protect patients’ privacy, their identification numbers are encrypted before releasing the database. In this study, we used hospitalization files for the entire analysis. All patients had at least once hospitalization record with diagnoses defined according to the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes. The Research Ethics Committee of China Medical University and Hospital in Taiwan approved the study (CMUH104-REC2-115-AR4).

Study population

We defined two cohorts in this study, namely the PKD and non-PKD cohorts. Patients with PKD were selected with diagnoses of ICD-9-CM codes 753.12 and 753.13 and at least one hospitalization during 2000–2012. The index date was set as the date of PKD diagnosis. The non-PKD group comprised patients without any diagnosis of PKD and were propensity score-matched with PKD cases by age, sex, index year, and comorbidities. The index year of the control group was randomly assigned according to the index date distribution of PKD cases before matching (Fig. 1).

Comorbidities included in this study were alcohol-related diseases (ICD-9-CM codes 291, 303, 305.00, 305.01, 305.02, 305.03, 571.0–571.3, 790.3 and V11.3), chronic kidney disease (ICD-9-CM codes 580–589), chronic liver disease (ICD-9-CM codes 571.5, 571.6,V02.61, 070.20, 070.22, 070.30, 070.32,V02.62, 070.41, 070.44, 070.51,070.54,571.40, 571.41, 571.49, 571.8, and 571.9), chronic obstructive pulmonary disease (COPD; ICD-9-CM codes 491, 492, and 496), diabetes mellitus (ICD-9-CM code 250), bacterial and viral infections, pneumoconiosis (ICD-9-CM codes 50 and A326), hypertension (ICD-9-CM codes 401–405), and hyperlipidemia (ICD-9-CM code 272).

The primary outcome of interest was the diagnosis of TB infection (ICD-9-CM codes 01 and A02), and the exclusion criterion was a diagnosis of TB infection before the index date of diagnosis with PKD. All patients were followed up from the index date until the diagnosis of TB infection, withdrawal from the NHIRD, death, or December 31, 2013.

Statistical analysis

Categorical and continuous variables are presented using numbers (percentages) and means (standard deviations), respectively. The difference in each grouped variable between the two cohorts was tested using the chi-square test; the mean age was assessed using Student’s t-test. The incidence rate was calculated as the number of patients newly diagnosed with TB divided by the following period (per 10,000 person-years). We used the Kaplan–Meier analysis to calculate the cumulative incidence of TB and the log-rank test to evaluate the difference in survival curves between the two cohorts. The risk of TB in the PKD and non-PKD cohorts was tested using the Cox proportional hazards model for estimation and comparison demonstrated by hazard ratios (HRs), adjusted HRs (aHRs; adjusted for demographic factors and comorbidities), and 95% confidence intervals (95% CIs). All statistical analyses were performed using SAS statistical software, version 9.4 (SAS Institute Inc., Cary, NC). The cumulative incidence curve was plotted using R software. Significance was set at a two-sided p value of < 0.05.

Results

We enrolled 13,540 patients in total (Table 1) with 6770 patients in each cohort. In our cohort, 58% of the patients were men, and the mean age of the patients was 59.1 years. No significant differences were observed in sex, age, index year, and comorbidities between the groups (p ≥ 0.05).

Table 1 Demographic characteristics and comorbidities of patients with newly diagnosed PKD in Taiwan during 2000–2012
Full size table

Table 2 presents the incidence rates, hazard ratios, and 95% CIs of TB after stratification. Compared with the non-PKD group, the PKD group displayed a significantly higher risk of TB after adjusting for age, sex, and comorbidities (aHR = 1.91, 95% CI = 1.51–2.43). When the analysis was classified into pulmonary TB (PTB) and extrapulmonary TB (EPTB), the PKD group exhibited a significantly higher risk of EPTB (aHR = 2.44, 95% CI = 1.46–4.08) and also displayed a difference in the risk of PTB when compared with the non-PKD group (aHR = 1.69, 95% CI = 1.29–2.22). After adjusting for and stratifying by age, sex, and comorbidities, the female (aHR = 2.22, 95% CI = 1.36–3.62) and male (aHR = 1.84, 95% CI = 1.40–2.41) patients; those aged 20–49 years (aHR = 3.29, 95% CI = 1.14–9.47), 50–64 years (aHR = 2.68, 95% CI = 1.60–4.49), and > 65 years (aHR = 1.66, 95% CI = 1.25–2.19); and those with any of the comorbidities (aHR = 1.71, 95% CI = 1.30–2.26), hypertension (aHR = 1.89, 95% CI = 1.35–2.64), hyperlipidemia (aHR = 4.18, 95% CI = 1.46–11.94), and diabetes (aHR = 1.92, 95% CI = 1.01–3.66) in the PKD cohort had a significantly higher risk of TB than did their counterparts in the non-PKD cohort.

Table 2 Incidence rates, hazard ratio, and confidence intervals of TB infection in different stratifications
Full size table

When stratified by the category of with or without comorbidity, the patients with PKD without any comorbidity had a high risk of TB (aHR = 2.69, 95% CI = 1.69–4.30). When followed within 1 year from the index date, the patients with PKD had a 2.82-fold increased risk of TB (aHR = 2.82, 95% CI = 1.79–4.43). A 1.85-fold increased risk of TB (aHR = 1.85, 95% CI = 1.17–2.93) was observed in the patients with PKD when followed for 1–3 years after adjusting for demographic factors and comorbidities (Table 3).

Table 3 Incidence and hazard ratio of TB infection stratified by the follow-up year
Full size table

Discussion

TB infection has become a global healthy issue. In 2018, TB had affected 10 million individuals, of whom 1.5 million died, thus imposing a massive burden on the public health system according to the World Health Organization (WHO) [20]. Because of early diagnosis and direct observation of treatment by using anti-tuberculosis agents with advanced public health services in Taiwan, a decreasing trend in TB infection was observed; the case rate decreased from 73 cases per 100,000 population to 36.7 cases per 100,000 population from 2005 to 2019 [21].

We included a large number of patients with PKD and observed them for a long time in our study. Our findings showed a signficantly higher incidence rate of TB in the PKD group (495.4 per 100,000 person-years) than in the non-PKD group (276.8 per 100,000 person-years). In the multivariate analysis after adjusting for confounders, namely sex, age, index year, and comorbidities, the PKD cohort had a 1.91-fold higher risk of TB than did the non-PKD cohort. When stratified by sites involving TB, such as pulmonary (PTB) and extrapulmonary (EPTB) sites, a 3.40-fold higher risk of EPTB was observed in the patients with PKD (aHR = 2.44, 95% CI = 1.46–4.08). Similarily, a 2.69-fold higher risk of TB was observed in the patients with PKD after excluding any underlying diseases, including diabetes, alcohol consumption, and liver disease, which may contribute to TB infection in the general population. Our findings suggest that PKD is associated with a higher TB infection risk, particularly EPTB infection, which has never been known previously. In addition, our findings may provide indirect evidence implicating PKD underlying abnormal immunological function.

Risk factors for TB infection can be divided into impaired host immunity and increased exposure. For example, impaired immunity with HIV infection poses a high risk of TB infection, including EPTB or miliary TB infection, and a low CD4 lymphocyte count is a key risk factor for TB relapse [2223]. Several predisposing factors are associated with TB infection. The risk of TB infection is high in patients with diabetes [24], solid organ transplant [25], renal disease [26], COPD [27], hematologic malignancies [28], diseases under long-term glucocoticoid treatment or tumor necrosis factor treatment [2930], undernutrition [31], or smoking and alcohol consumption [3233].

TB is prevalent worldwide, and male patients are particularly prone. Male patients have an approximately two-fold increased risk of TB infection [20]. Compared with female patients, more social exposure in male patients accounted for these findings. In the present study, the male patients in the PKD group were associated with an 1.8-fold higher risk of TB infection than did those in the control group, which supports the previous findings. Male sex is supposed to be associated with more rapid progression in PKD1-gene mutant patients with ADPKD [34]. Notably, the observation that female patients with PKD have a 2.2-fold increased risk of TB infection needs to be eluciated further.

Underlying comorbidities in PKD patients can aggravate the risk of TB infection. In this study, we observed that the PKD patients with hypertension (aHR = 1.89, 95% CI = 1.35–2.64), hyperlipidemia (aHR = 4.18, 95% CI = 1.46–11.94), and diabetes mellitus (aHR = 1.92, 95% CI = 1.01–3.66) had a high risk of TB infection; however, those with alcohol-related disease, chronic kidney disease, chronic liver disease, COPD, diabetes, bacterial infection, viral infection, and pneumoconiosis did not have a significantly increased risk of TB infection in the study.

In cases with TB infection in renal transplantations, more than one-third of the renal transplant patients developed TB infection during the first year post- transplantation [35]. High-dose immunosuppresant agents after the initial renal transplantation might interfere with T-cell function; for example, cyclosporin suppressed purified protein derivative-specific CD4 T-cell reactivity and the production of interleukin-2 and interferon-gamma [36].

Similarily, patients with PKD in the first year of follow-up have a high risk of TB, which implies that underlying immunodysregulation may likely contribute to the findings of our study.

Strengths and limitations

Our data were robust; however, some limitations must be addressed. First, laboratory data could not be obtained from the NHIRD. Some confounders associated with the risk of TB infection, such as tobacco and alcohol consumption, could not be measured. To overcome the inherent potential bias, proxy variables, including COPD incidence for smoking, hypertension, hyperlipidemia, and diabetic incidence for obesity, were included to reduce the bias effect of these confounders.

Second, because universal Bacillus Calmette–Guerin (BCG) vaccination has been offically implemented in Taiwan, EPTB is easily missed in daily practice. Only patients with definitive TB infection were recruited and those with subclinical infections could have been excluded from the study, resulting in the possible underestimation of the results. Third, data of imaging and tissue examinations and details regarding EPTB sites could not be obtained in the study.

Conclusions

Taken together, our findings suggest that PKD is associated with a 1.91-fold increased risk of TB infection. Medical professionls should maintain a high index of suspicion in daily practice when treating patients with PKD, particularly those with extrapulmonary TB infection.

Fig. 1
figure 1

Cumulative incidence of Mycobacterium tuberculosis infection in the PKD and non-PKD cohorts, which reached a statistical significance (p < 0.001)

Full size image

Availability of data and materials

The dataset used in this study is held by the Taiwan Ministry of Health and Welfare (MOHW). The Ministry of Health and Welfare must approve our application to access this data. Any researcher interested in accessing this dataset can submit an application form to the Ministry of Health and Welfare requesting access. Please contact the staff of MOHW (Email: stcarolwu@mohw.gov.tw) for further assistance. Taiwan Ministry of Health and Welfare Address: No.488, Sec. 6, Zhongxiao E. Rd., Nangang Dist., Taipei City 115, Taiwan (R.O.C.). Phone: + 886-2-8590-6848. All relevant data are within the paper.

Abbreviations

PKD:

Polycystic kidney disease

TB:

Tuberculosis

PTB:

Pulmonary Tuberculosis

EPTB:

Extrapulmonary Tuberculosis

ESRD:

End-stage renal disease

PC:

Polycystin

NHIRD:

National Health Insurance Research Database

LHID:

Longitudinal Health Insurance Database

aHR:

Adjusted hazard ratio

CI:

Confidence interval

ESRD:

End-stage renal disease

ICD-9-CM:

International Classification of Diseases, Ninth revision, Clinical Modification

References

  1. Dalgaard OZ. Bilateral polycystic disease of the kidneys; a follow-up of two hundred and eighty-four patients and their families. Acta Med Scand Suppl. 1957;328:1–255.

    CAS  PubMed  Google Scholar 

  2. Saran R, Robinson B, Abbott KC, et al. US renal data system 2016 annual data report: epidemiology of kidney disease in the United States. Am J Kidney Dis. 2017;69(3 Suppl 1):A7–8.

    Article  Google Scholar 

  3. Neumann HP, Jilg C, Bacher J, et al. Epidemiology of autosomal-dominant polycystic kidney disease: an in-depth clinical study for south-western Germany. Nephrol Dial Transplant. 2013;28(6):1472–87.

    Article  CAS  Google Scholar 

  4. McGovern AP, Jones S, van Vlymen J, Saggar AK, Sandford R, de Lusignan S. Identification of people with autosomal dominant polycystic kidney disease using routine data: a cross sectional study. BMC Nephrol. 2014;15(1):182.

    Article  Google Scholar 

  5. Willey C, Kamat S, Stellhorn R, Blais J. Analysis of nationwide data to determine the incidence and diagnosed prevalence of autosomal dominant polycystic kidney disease in the USA: 2013–2015. Kidney Dis (Basel). 2019;5(2):107–17.

    Article  Google Scholar 

  6. Bergmann C, Guay-Woodford LM, Harris PC, Horie S, Peters DJM, Torres VE. Polycystic kidney disease. Nat Rev Dis Primers. 2018;4(1):50.

    Article  Google Scholar 

  7. Cornec-Le Gall E, Audrezet MP, Chen JM, et al. Type of PKD1 mutation influences renal outcome in ADPKD. J Am Soc Nephrol. 2013;24(6):1006–13.

    Article  Google Scholar 

  8. Simms RJ. Autosomal dominant polycystic kidney disease. BMJ. 2016;352:i679.

    Article  Google Scholar 

  9. Gabow PA. Autosomal dominant polycystic kidney disease. N Engl J Med. 1993;329(5):332–42.

    Article  CAS  Google Scholar 

  10. Rizk D, Chapman AB. Cystic and inherited kidney diseases. Am J Kidney Dis. 2003;42(6):1305–17.

    Article  Google Scholar 

  11. Levy M, Feingold J. Estimating prevalence in single-gene kidney diseases progressing to renal failure. Kidney Int. 2000;58(3):925–43.

    Article  CAS  Google Scholar 

  12. Saran R, Robinson B, Abbott KC, et al. US renal data system 2017 annual data report: epidemiology of kidney disease in the United States. Am J Kidney Dis. 2018;71(3 Suppl 1):A7.

    Article  Google Scholar 

  13. Gabow PA. Autosomal dominant polycystic kidney disease—more than a renal disease. Am J Kidney Dis. 1990;16(5):403–13.

    Article  CAS  Google Scholar 

  14. Grantham JJ. Autosomal dominant polycystic kidney disease. N Engl J Med. 2008;359(14):1477–85.

    Article  CAS  Google Scholar 

  15. Luciano RL, Dahl NK. Extra-renal manifestations of autosomal dominant polycystic kidney disease (ADPKD): considerations for routine screening and management. Nephrol Dial Transplant. 2014;29(2):247–54.

    Article  Google Scholar 

  16. Jilg CA, Drendel V, Bacher J, et al. Autosomal dominant polycystic kidney disease: prevalence of renal neoplasias in surgical kidney specimens. Nephron Clin Pract. 2013;123(1–2):13–21.

    Article  Google Scholar 

  17. Van Laecke S, Kerre T, Nagler EV, et al. Hereditary polycystic kidney disease is characterized by lymphopenia across all stages of kidney dysfunction: an observational study. Nephrol Dial Transplant. 2018;33(3):489–96.

    Article  Google Scholar 

  18. Kunnath-Velayudhan S, Gennaro ML. Immunodiagnosis of tuberculosis: a dynamic view of biomarker discovery. Clin Microbiol Rev. 2011;24(4):792–805.

    Article  CAS  Google Scholar 

  19. Lefford MJ. Transfer of adoptive immunity to tuberculosis in mice. Infect Immun. 1975;11(6):1174–81.

    Article  CAS  Google Scholar 

  20. World Health Organization-Global tuberculosis report 2019. 2019

  21. Lo HY, Chou P, Yang SL, Lee CY, Kuo HS. Trends in tuberculosis in Taiwan, 2002–2008. J Formos Med Assoc. 2011;110(8):501–10.

    Article  Google Scholar 

  22. Sonnenberg P, Glynn JR, Fielding K, Murray J, Godfrey-Faussett P, Shearer S. How soon after infection with HIV does the risk of tuberculosis start to increase? A retrospective cohort study in South African gold miners. J Infect Dis. 2005;191(2):150–8.

    Article  Google Scholar 

  23. Holmes CB, Wood R, Badri M, et al. CD4 decline and incidence of opportunistic infections in Cape Town, South Africa: implications for prophylaxis and treatment. J Acquir Immune Defic Syndr. 2006;42:464–9.

    Article  Google Scholar 

  24. Ayelign B, Negash M, Genetu M, Wondmagegn T, Shibabaw T. Immunological Impacts of Diabetes on the Susceptibility of Mycobacterium tuberculosis. J Immunol Res. 2019;2019:6196532.

    Article  Google Scholar 

  25. Clemente WT, Faria LC, Lima SS, et al. Tuberculosis in liver transplant recipients: a single Brazilian center experience. Transplantation. 2009;87(3):397–401.

    Article  Google Scholar 

  26. Okada RC, Barry PM, Skarbinski J, Chitnis AS. Epidemiology, detection, and management of tuberculosis among end-stage renal disease patients. Infect Control Hosp Epidemiol. 2018;39(11):1367–74.

    Article  Google Scholar 

  27. Inghammar M, Ekbom A, Engstrom G, et al. COPD and the risk of tuberculosis—a population-based cohort study. PLoS ONE. 2010;5(4):e10138.

    Article  Google Scholar 

  28. Cheng MP, Abou Chakra CN, Yansouni CP, et al. Risk of active tuberculosis in patients with cancer: a systematic review and meta-analysis. Clin Infect Dis. 2017;64(5):635–44.

    PubMed  Google Scholar 

  29. Jick SS, Lieberman ES, Rahman MU, Choi HK. Glucocorticoid use, other associated factors, and the risk of tuberculosis. Arthritis Rheum. 2006;55(1):19–26.

    Article  Google Scholar 

  30. Winthrop K, Baxter R, Liu L, et al. Mycobacterial diseases and antitumour necrosis factor therapy in USA. Ann Rheum Dis. 2013;72(1):37–42.

    Article  CAS  Google Scholar 

  31. Feleke BE, Feleke TE, Biadglegne F. Nutritional status of tuberculosis patients, a comparative cross-sectional study. BMC Pulm Med. 2019;19(1):182.

    Article  Google Scholar 

  32. Bates MN, Khalakdina A, Pai M, Chang L, Lessa F, Smith KR. Risk of tuberculosis from exposure to tobacco smoke: a systematic review and meta-analysis. Arch Intern Med. 2007;167(4):335–42.

    Article  Google Scholar 

  33. Lonnroth K, Williams BG, Stadlin S, Jaramillo E, Dye C. Alcohol use as a risk factor for tuberculosis—a systematic review. BMC Public Health. 2008;8:289.

    Article  Google Scholar 

  34. Gabow PA, Johnson AM, Kaehny WD, et al. Factors affecting the progression of renal disease in autosomal-dominant polycystic kidney disease. Kidney Int. 1992;41(5):1311–9.

    Article  CAS  Google Scholar 

  35. Ou SM, Liu CJ, Teng CJ, et al. Impact of pulmonary and extrapulmonary tuberculosis infection in kidney transplantation: a nationwide population-based study in Taiwan. Transpl Infect Dis. 2012;14(5):502–9.

    Article  Google Scholar 

  36. Sester U, Wilkens H, van Bentum K, et al. Impaired detection of Mycobacterium tuberculosis immunity in patients using high levels of immunosuppressive drugs. Eur Respir J. 2009;34(3):702–10.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This study is supported in part by Taiwan Ministry of Health and Welfare Clinical Trial Center (MOHW109-TDU-B-212-114004), China Medical University Hospital (CMU107-ASIA-19, DMR-109-231); MOST Clinical Trial Consortium for Stroke (MOST 108-2321-B-039-003-), Tseng-Lien Lin Foundation, Taichung, Taiwan. The funders had no role in the study design, data collection and analysis, the decision to publish, or preparation of the manuscript. No additional external funding was received for this study.

Author information

Author notes

  1. Tung-Min Yu and Chia-Hung Kao equally contributed

Authors and Affiliations

  1. Department of Pediatrics, Taipei City Hospital Zhongxiao Branch, Taipei, Taiwan

    Ting-Fang Chiu

  2. University of Taipei, Taipei, Taiwan

    Ting-Fang Chiu

  3. Department of Education and Research, Taipei City Hospital, Taipei, Taiwan

    Ting-Fang Chiu

  4. Graduate Institute of Biomedical Sciences and School of Medicine, College of Medicine, China Medical University, No. 2, Yuh-Der Road, Taichung, 404, Taiwan

    Tung-Min Yu, Chih-Wei Chiu, Chi-Yuan Li, Mei-Chen Lin & Chia-Hung Kao

  5. Division of Nephrology, Taichung Veterans General Hospital, Taichung, Taiwan

    Tung-Min Yu

  6. Tsaotun Psychiatric Center, Ministry of Health and Welfare, Nantou, Taiwan

    Tsuo-Hung Lan

  7. Department of Psychiatry, School of Medicine, National Yang-Ming University, Taipei, Taiwan

    Tsuo-Hung Lan

  8. Center for Neuropsychiatric Research, National Health Research Institutes, Zhunan, Taiwan

    Tsuo-Hung Lan

  9. University of Texas, Austin, Dell Seton Medical Center, Austin, USA

    Brian K. Lee

  10. Department of Anesthesiology, China Medical University Hospital, Taichung, Taiwan

    Chi-Yuan Li

  11. Department of Post Baccalaureate Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan

    Chih-Wei Chiu

  12. Department of Nuclear Medicine and PET Center, China Medical University Hospital, Taichung, Taiwan

    Chia-Hung Kao

  13. Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan

    Chia-Hung Kao

  14. Center of Augmented Intelligence in Healthcare, China Medical University Hospital, Taichung, Taiwan

    Chia-Hung Kao

Authors
  1. Ting-Fang Chiu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tung-Min Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chih-Wei Chiu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Brian K. Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Tsuo-Hung Lan
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Chi-Yuan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Mei-Chen Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Chia-Hung Kao
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

These authors’ individual contributions were as follows. Conception/Design: TFC, TMY, CHK; Provision of study material and patients: TFC, TMY; Collection and assembly of data: All authors; Data analysis and interpretation: All authors; Manuscript writing: All authors; Final approval of manuscript: All authors.

Corresponding authors

Correspondence to Tung-Min Yu or Chia-Hung Kao.

Ethics declarations

Ethics approval and consent to participate

The NHIRD encrypts patient personal information to protect privacy and provides researchers with anonymous identification numbers associated with relevant claims information, including sex, date of birth, medical services received, and prescriptions. Therefore, patient consent is not required to access the NHIRD. This study was approved to fulfill the condition for exemption by the Institutional Review Board (IRB) of China Medical University (CMUH104-REC2-115-AR4). The IRB also specifically waived the consent requirement.

Consent for publication

Yes.

Competing interests

The authors declare no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Chiu, TF., Yu, TM., Chiu, CW. et al. Increased risk of pulmonary and extrapulmonary tuberculosis infection in patients with polycystic kidney disease: a nationwide population-based study with propensity score-matching analysis. J Transl Med 19, 253 (2021). https://doi.org/10.1186/s12967-021-02921-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12967-021-02921-3

Keywords

  • Polycystic kidney disease
  • Mycobacterium tuberculosis
  • Lymphopenia

Journal of Translational Medicine

ISSN: 1479-5876

Contact us