Literature DB >> 25419160

Long-term mortality in patients with pulmonary and extrapulmonary tuberculosis: a Danish nationwide cohort study.

Anne-Sophie Halkjær Christensen1, Casper Roed1, Peter H Andersen2, Ase Bengård Andersen3, Niels Obel1.   

Abstract

BACKGROUND: Long-term mortality and causes of death in patients with pulmonary tuberculosis (PTB) and extrapulmonary tuberculosis (EPTB) are poorly documented. In this study, long-term mortality and causes of death in PTB and EPTB patients were compared with the background population and it was investigated whether mortality was associated with family-related risk factors.
METHODS: A NATIONWIDE COHORT STUDY WAS CONDUCTED INCLUDING: all adult Danes notified with PTB or EPTB from 1977 to 2008 and alive 1 year after diagnosis; a randomly selected comparison cohort matched on birth date and sex; adult siblings of PTB patients; and population controls. Data were extracted from national registries. All-cause and cause-specific mortality rate ratios were calculated for patients and siblings and compared with their respective control cohorts. A total of 8,291 patients (6,402 PTB and 1,889 EPTB), 24,873 population controls, 1,990 siblings of PTB patients and 11,679 siblings of PTB population controls were included.
RESULTS: Overall, the mortality rate ratio was 1.86 (95% confidence interval [CI] 1.77-1.96) for PTB patients and 1.24 (95% CI 1.12-1.37) for EPTB patients. Both patient cohorts had significantly increased risk of death due to infectious diseases and diabetes. Further, the PTB patients had increased mortality due to cancers (mainly respiratory and gastrointestinal tract), liver and respiratory system diseases, and alcohol and drug abuse. The PTB patients had increased mortality compared with their siblings (mortality rate ratio 3.55; 95% CI 2.57-4.91) as did the siblings of the PTB patients compared with the siblings of population controls (mortality rate ratio 2.16; 95% CI 1.62-2.87).
CONCLUSION: We conclude that adult PTB patients have an almost two-fold increased long-term mortality whereas EPTB patients have a slightly increased long-term mortality compared with the background population. The increased long-term mortality in PTB patients stems from diseases associated with alcohol, tobacco, and drug abuse as well as immune suppression, and family-related factors.

Entities:  

Keywords:  causes of death; cohort study; extrapulmonary tuberculosis; mortality; pulmonary tuberculosis; siblings

Year:  2014        PMID: 25419160      PMCID: PMC4235508          DOI: 10.2147/CLEP.S65331

Source DB:  PubMed          Journal:  Clin Epidemiol        ISSN: 1179-1349            Impact factor:   4.790


Introduction

Tuberculosis (TB) causes more than 1.4 million deaths annually and is the second leading cause of death due to an infectious disease after human immunodeficiency virus (HIV).1 The morbidity and mortality associated with TB is especially pronounced in low-income developing countries where malnutrition, crowded living conditions, and lack of TB control measures makes the disease a serious public health burden.1–3 In high-income industrialized nations, the epidemiology of TB has changed, with immigrants from endemic countries now constituting a major proportion of new TB cases.4,5 Several studies have established specific risk factors and predictors of short-term case fatality rates, but the long-term prognosis of patients with TB is still poorly described.6–8 In order to assess whether long-term mortality is affected in patients who have survived a TB episode compared with the background population, we conducted a nationwide population-based cohort study to determine long-term mortality and causes of death in patients diagnosed with pulmonary (PTB) or extrapulmonary tuberculosis (EPTB). To investigate potential family-related risk factors, we also estimated mortality in siblings of the patients with TB.

Materials and methods

Ethics statement

This study is a registry-based cohort study involving data from various Danish national registries. All data were anonymized before any statistical analysis was performed and the study was approved by the Danish Data Protection Agency.

Study design

This study was conducted as a population-based nationwide cohort study. The study populations were all PTB and EPTB patients registered in Denmark in the period 1977–2008 and a cohort from the background population individually matched on age and sex. Outcomes were time to death and to cause-specific death. The risk of these outcomes was further estimated in the siblings of the patients with TB and compared with that of the siblings of the comparison cohort.

Setting

The population of Denmark was 5.08 million on January 1, 1977 and 5.48 million on January 1, 2008.9 The incidence of TB decreased in the study period from 12/100.000 in 1977 to 6/100.000 in 2008.10,11 Denmark has an estimated HIV prevalence of 0.07%.12 Throughout the study period, Danish citizens had access to free health care and antituberculosis medication. The Bacille Calmette Guerin vaccine was phased out of the Danish national childhood vaccination program in the period 1976–1980. All culture-based TB diagnostics are centralized at the International Reference Laboratory of Mycobacteriology at Statens Serum Institut, Copenhagen, Denmark.

Data sources

The unique 10-digit personal identification number assigned to all Danish citizens at birth or immigration was used to avoid multiple registrations and to track individuals in the following registries.

Danish Tuberculosis Registry

All TB patients diagnosed in Denmark are notified to the Danish Tuberculosis Registry by the treating physician and by the International Reference Laboratory of Mycobacteriology. This notification is mandatory for all patients initiating anti-TB treatment. The Danish Tuberculosis Registry contains data on anatomical localization of TB, ethnic origin, date of diagnosis, residence, and microbiologic data.

Danish National Patient Registry

The Danish National Patient Registry (DNPR) contains information on all patients discharged from Danish somatic hospitals since 1977.13 Data includes dates of admission and discharge diagnosis coded by the International Classification of Diseases, Eighth Revision (ICD-8), until the end of 1993 and the Tenth Revision (ICD-10) thereafter. From this registry, date of first admission with PTB or EPTB was extracted.

Danish Civil Registration System

The Danish National Patient Registry (DCRS) was established in 1968 and contains information on date and place of birth and death, sex, immigration and/or emigration for all Danish residents.14

Danish Registry of Causes of Death

The Danish Registry of Causes of Death contains data from all Danish death certificates since 1943 and is updated to December 31, 2009.15 Causes of death are coded according to ICD-8 until the end of 1993 and according to ICD-10 thereafter. The physician can code one immediate cause of death followed by secondary and/or tertiary causes of death and finally one underlying (main) cause of death.

Study population

PTB and EPTB patients

We included all individuals who fulfilled the following five criteria: notified to the Danish Tuberculosis Registry from January 1, 1977 until December 31, 2008; registered in the DNPR with a diagnosis of PTB (ICD-8 codes 011.00–013.00 and ICD-10 codes A15.0–17.0) or EPTB (ICD-8 codes 014.00–019.00 and ICD-10 codes A 18.0–20.0); notified to the Danish Tuberculosis Registry within 1 year of DNPR date of discharge; ≥16 years of age at time of diagnosis; and registered in the DCRS. EPTB was defined as TB of all anatomical localizations other than lungs and pleura, with the exception of tuberculous meningitis and intracerebral tuberculoma (a detailed study of this patient category has recently been published by Christensen et al)16 and patients diagnosed with miliary TB (to ensure uniform patient populations with sole organ involvement). Diagnosis was either microbiologically verified by positive culture, nucleic acid amplification, or direct microscopy, or based on clinical symptoms and/or radiology. The date of TB diagnosis was defined as the date of first admission for TB according to DNPR, and the index date as 1 year after TB diagnosis. Patients were excluded from the study population if they died, emigrated, or were lost to follow-up within the first year of TB diagnosis.

Population comparison cohorts

For each TB patient, we identified all Danish citizens in the DCRS who were born in Denmark with the same birth date and sex as the patient and were alive and not diagnosed with TB on the index date of the respective patient. From this population, we randomly identified three individuals per TB patient who constituted the comparison cohort. The index date for the population controls was therefore the same as for the TB patient to whom they were matched.

Siblings

From the DCRS, all siblings of the PTB patients and PTB population controls were identified who fulfilled the following criteria: full siblings; born after January 1, 1952, and alive and not younger than 16 years of age at the time of the patient’s or control’s index date. Less than 10% of siblings of individuals born before 1952 could be identified in DCRS, rising to 43% in the 1952 birth cohort and 96% for individuals born after 1958.17 EPTB siblings were not included due to inadequate study population size which did not allow for sibling mortality studies.

Comorbidity

A modified Charlson Comorbidity Index (CCI) score was used as a measurement of comorbidity and calculated from DNPR diagnoses prior to the first TB diagnosis.18 Three levels of comorbidity were defined: none (CCI score 0), low (CCI score 1–2), and high (CCI score >3). As an alternative measure of comorbidity, data on in-hospital patient admissions in the 5 years prior to the date of TB diagnosis was extracted from the DNPR for all patients, population controls, and siblings. These data were subcategorized according to diagnostic categories based on discharge diagnosis.

Statistical analysis

Time was calculated from index date to the date of death, emigration, loss to follow-up or December 31, 2009, whichever came first. Kaplan–Meier analyses were used to construct survival curves. All-cause mortality rate ratios (MRR), representing relative risk of death, and 95% confidence intervals (CIs) were calculated and stratified according to sex, age at time of diagnosis, ethnicity, and level of CCI score of the TB patient. Cause-specific MRRs were based on the underlying cause of death and categorized as listed in the Supplementary materials. For siblings we computed time from January 1, 1977, or the index date of the respective patient or population control, whichever came last, until date of death, emigration, loss to follow-up, or December 31, 2009, whichever came first. Poisson regression analyses were used to calculate all-cause and cause-specific MRRs (adjusted for age and sex) for siblings of PTB patients compared with siblings of the PTB population controls and for PTB patients born after 1 January, 1952 compared with their respective siblings. Statistical Package for the Social Sciences version 15.0 for Windows (SPSS Inc., Chicago, IL, USA), R version 2.13.0 (R Foundation for Statistical Computing, Vienna, Austria), and Stata version 11 (StataCorp, College Station, TX, USA) were used for data analysis.

Results

Characteristics of TB patient cohorts

We identified 11,258 TB patients of whom 6,402 PTB patients and 1,889 EPTB patients fulfilled the inclusion criteria (Figure 1). A total of 5,290 (82.6%) PTB patients and 1,713 (90.7%) EPTB patients were microbiologically verified. For both cohorts, the proportion of immigrants increased with calendar time (Table 1). Due to the study design, the control cohorts were well matched with respect to age and sex, but PTB and EPTB patients had more comorbidity and had been hospitalized more frequently than their respective population control cohorts (Table 1).
Figure 1

Summary of study design.

Notes: Nationwide cohort study of long-term mortality in patients with TB, Denmark, 1977–2008.

Abbreviations: EPTB, extrapulmonary tuberculosis; LFU, lost to follow-up; PTB, pulmonary tuberculosis; TB, tuberculosis; yrs, years.

Table 1

Characteristics of PTB and EPTB patient cohorts, population comparison cohorts, and sibling cohorts

PTB patientsPTB population controlsSiblings of PTB patientsSiblings of PTB population controlsEPTB patientsEPTB population controls
Total number, n (%)6,402 (25.0)19,206 (75.0)1,990 (14.6)11,679 (85.4)1,889 (25.0)5,667 (75.0)
Males, n (%)3,855 (60.2)11,565 (60.2)1,055 (53.0)6,244 (53.5)816 (43.2)2,448 (43.2)
Immigrants, n (%)2,326 (36.3)0405 (20.4)01,242 (65.7)0
Observation time (total), years64,212234,48419,26812,44920,33967,272
Observation time, median (IQR), years8.1 (3.7–14.1)10.5 (5.5–17.2)8.3 (4.1–13.3)9.7 (5.4–14.2)9.3 (4.8–14.7)10.4 (5.9–15.8)
Observation time (total), years, Danes40,3987,291
Observation time, median (IQR), years, Danes7.8 (3.4–14.2)9.1 (4.6–16.4)
Observation time (total), years, immigrants23,81413,047
Observation time, median (IQR), years, immigrants8.7 (4.3–13.8)9.4 (5.0–13.8)
Lost to follow-up during study period, n (%)79 (1.2)4 (0.01)7 (0.4)5 (0.01)34 (1.8)2 (0.001)
Emigrated during study period, n (%)281 (4.4)204 (1.1)54 (2.7)198 (1.7)158 (8.4)62 (1.1)
Age at diagnosis, median (IQR), years42.8 (30.1–58.6)42.8 (30.1–58.6)31.7 (25.3–38.4)31.5 (24.0–38.2)38.8 (28.9–60.2)38.8 (28.9–60.2)
Age at diagnosis by age intervals, n (%)
 16–30 years1,570 (24.5)4,710 (24.5)889 (44.7)5,043 (43.2)540 (28.6)1,620 (28.6)
 31–60 years3,357 (52.4)10,071 (52.4)1,101 (55.3)6,636 (56.8)874 (46.3)2,622 (46.3)
 >61 years1,475 (23.0)4,425 (23.0)00475 (25.1)1,425 (25.1)
Patients diagnosed by decade, n (%)
 1977–19862,026 (31.6)6,078 (31.6)548 (29.0)1,644 (29.0)
  Immigrants, n (%)383 (18.9)0168 (30.7)0
 1987–19961,500 (23.4)4,500 (23.4)463 (24.5)1,389 (24.5)
  Immigrants, n (%)605 (40.3)0326 (70.4)0
 1997–20082,876 (44.9)8,628 (44.9)878 (46.5)2,634 (46.5)
  Immigrants, n (%)1,338 (46.5)0748 (85.2)0
Age at diagnosis by decade, median (IQR), years
 1977–198652.6 (34.7–65.9)52.6 (34.7–65.9)57.6 (36.3–70.4)57.6 (36.3–70.4)
 1987–199641.2 (29.7–57.6)41.2 (29.7–57.6)36.3 (27.2–60.6)36.3 (27.2–60.6)
 1997–200839.5 (28.9–51.5)39.5 (28.9–51.5)34.6 (28.1–46.0)34.6 (28.1–46.0)
Modified Charlson Comorbidity Index, n (%)
 None (score 0)5,498 (85.9)17,744 (92.4)1,897 (95.3)11,254 (96.4)1,680 (88.9)5,231 (92.3)
 Low (score 1–2)791 (12.4)1,340 (7.0)85 (4.3)385 (3.3)177 (9.4)408 (7.2)
 High (score≥3)113 (1.8)122 (0.6)8 (0.4)40 (0.3)32 (1.7)28 (0.5)
Hospital admission in 5 years prior to TB
Total patients, n (%)2,677 (41.8)5,589 (29.1)660 (33.2)3,695 (31.6)871 (46.1)1,854 (32.7)
 Infectious diseases176 (2.7)171 (0.9)55 (2.8)116 (1.0)58 (3.1)59 (1.0)
 Pulmonology426 (6.7)403 (2.1)50 (2.5)255 (2.2)61 (3.2)131 (2.3)
 Endocrinology133 (2.1)192 (1.0)16 (0.8)82 (0.7)43 (2.3)51 (0.9)
 Gastroenterology491 (7.7)834 (4.3)77 (3.9)369 (3.2)134 (7.1)246 (4.3)
 Psychiatry225 (3.5)116 (0.6)29 (1.5)91 (0.8)9 (0.5)37 (0.7)
 Cardiovascular320 (5.0)824 (4.3)38 (1.9)166 (1.4)88 (4.7)227 (4.0)
 Alcohol-related152 (2.4)51 (0.3)10 (0.5)24 (0.2)2 (0.1)9 (0.2)
 Injury or poisoning677 (10.6)1,105 (5.8)158 (7.9)704 (6.0)106 (5.6)306 (5.4)
 Neurology90 (1.4)167 (0.9)20 (1.0)97 (0.8)20 (1.1)56 (1.0)
Malignant neoplasm prior to study inclusion, n (%)248 (3.9)565 (2.9)17 (0.9)97 (0.8)61 (3.2)190 (3.4)
HIV diagnosis before or at time of TB diagnosis, n (%)107 (1.7)28 (0.001)9 (0.5)14 (0.1)18 (1.2)6 (0.001)
Medical history of TB before study inclusion, n (%)00163 (8.2)17 (0.1)00

Abbreviations: EPTB, extrapulmonary tuberculosis; HIV, human immunodeficiency virus; IQR, interquartile range; PTB, pulmonary tuberculosis; TB, tuberculosis.

Characteristics of sibling cohorts

A total of 1,990 siblings of PTB patients and 11,679 siblings of the PTB control cohort were identified. The PTB patients’ siblings had slightly increased comorbidity, including TB, and more were HIV-positive compared with the siblings of the population control cohort (Table 1).

Mortality in PTB patient population versus matched population controls

A total of 2,388 (37.3%) PTB patients and 4,683 (24.4%) PTB population controls died during the study period. A Kaplan–Meier survival curve for the PTB cohort and their population control cohort is shown in Figure 2. An overall MRR of 1.86 (95% CI 1.77–1.96) was found for the PTB cohort (Table 2).
Figure 2

Kaplan–Meier survival curves.

Notes: Graphs depict long-term mortality in patients (dashed line) with PTB (A), and EPTB (B), compared with population controls (solid line), Denmark, 1977–2008.

Abbreviations: EPTB, extrapulmonary tuberculosis; PTB, pulmonary tuberculosis.

Table 2

All-cause mortality rate ratios in PTB and EPTB patients, population controls, and siblings, Denmark, 1977–2008

PTB cohort
EPTB cohort
Siblings (n=1,990) of PTB patients versus siblings (n=11,679) of PTB controls; all born after January 1, 1952
PTB patients (n=1,019) versus their respective siblings (n=1,990); all born after January 1, 1952
Number of patients who diedNumber of controls who diedMRR (95% CI)Number of patients who diedNumber of controls who diedMRR (95% CI)Number of siblings of patients who died (%)Number of siblings of controls who died (%)MRR (95% CI)aNumber of patients who died (%)Number of siblings of patients who died (%)MRR (95% CI)a
Overall2,388 (37.3%)4,683 (24.4%)1.86 (1.77–1.96)515 (27.3%)1,379 (24.3%)1.24 (1.12–1.37)74 (3.7)206(1.8)2.16(1.62-2.87)110(10.8)74 (3.7)3.55(2.57-4.91)
Overall for individuals born after January 1, 1952271 (8.4)193 (2.0)4.62 (3.85–5.57)
MRR stratified on individual risk factors
Sex
 Females8121,7571.61 (1.48–1.75)2997891.24 (1.09–1.42)16651.53 (0.86-2.73)30166.95(3.46-13.94)
 Males1,5762,9262.04 (1.92–2.17)2165901.23 (1.05–1.43)581412.45(1.76-3.40)80582.86(1.98-4.12)
Age at diagnosis (years)
 16–30871062.71 (2.04–3.59)16202.61 (1.35–5.04)21682.09(1.27-3.44)29212.93 (1.63-5.28)
  0–10 years observation time12182.19 (1.05–4.55)544.09 (1.10–15.25)
  > 10 years observation time01n/a00n/a
 31–601,1041,4642.80 (2.59–3.03)1403101.50 (1.23–1.83)531382.17(1.54-3.08)81533.88 (2.63-5.72)
  0–10 years observation time5003065.87 (5.09–6.77)36731.64 (1.10–2.44)
  >10 years observation time1841983.44 (2.81–4.20)20292.39 (1.35–4.22)
 >601,1973,1131.57 (1.47–1.68)3591,0491.15 (1.02–1.29)00n/a00n/a
  0–10 years1,0792,0322.23 (2.07–2.40)2666801.32 (1.14–1.52)
  observation time
  >10 years observation time6132,1281.38 (1.26–1.50)1885931.15 (0.98–1.36)
Ethnicity
 Native Danes2,1194,1471.94 (1.84–2.04)4291,1581.27 (1.13–1.42)722062.38(1.78-3.18)105723.45 (2.48^.80)
 Immigrantsb2695361.71 (1.48–1.98)862211.26 (0.98–1.62)20n/a525.85(1.12-30.61)
Modified Charlson
Comorbidity Index
 Score 01,8573,6891.80 (1.70–1.90)4071,1191.18 (1.06–1.33)
 Score 14609022.20 (1.96–2.46)902341.46 (1.15–1.86)
 Score 271924.22 (3.09–5.75)18263.11 (1.70–5.67)

Notes:

Adjusted for sex and age

immigrant patients compared with their Danish population controls.

Abbreviations: CI, confidence interval; EPTB, extrapulmonary tuberculosis; MRR, mortality rate ratio; n/a, not applicable; PTB, pulmonary tuberculosis.

When stratified by individual risk factors, a higher mortality was found in the PTB cohort for males (MRR 2.04; 95% CI 1.92–2.17) compared with females (MRR 1.61; 95% CI 1.48–1.75). The MRR decreased with increasing age at time of TB diagnosis and the relative risk of death increased with increased comorbidity (Table 2). Danish-born PTB patients had a slightly higher risk of death (MRR 1.94; 95% CI 1.84–2.04) than immigrants (MRR 1.71; 95% CI 1.48–1.98). The PTB patients had an increased risk of death from natural causes (infectious, malignant, respiratory, rheumatic, liver/pancreatic diseases, and diabetes) and also from unnatural causes of death (alcohol and drug abuse, injury, and poisoning; Table 3 and Table S1). The increased risk of malignant diseases in PTB patients was mainly driven by cancers of the respiratory tract, esophagus, breast, and hematologic system.
Table 3

Cause-specific mortality rate ratios in PTB and EPTB patients, population controls, and siblings, Denmark, 1977–2008

PTB cohort
EPTB cohort
Siblings of PTB patents versus siblings of PTB controls
PTB patients versus their respective siblings
Number of patients who died (n=2,388)Number of controls who died (n=4,683)MRR95% CINumber of patients who died (n=515)Number of controls who died (n=1,379)MRR95% CINumber of siblings of patients who died (n=74 total)Number of siblings of controls who died (n=206 total)MRRa95% CINumber of patients who died (n=110 total)Number of siblings of patients who died (n=74 total)MRRa95% CI
Infectious diseases1563118.3812.50–27.021485.792.43–13.807210.531.76–63.0011710.562.33–17.83
Neoplasmsb5301,2421.561.41–1.731183341.170.95–1.4413541.320.67–2.6113132.711.15–6.37
 Malignant neoplasms of lip, oral cavity, and pharynx28224.652.66–8.1207
 Malignant neoplasms of digestive organs1283491.341.10–1.6534721.561.04–2.35
 Malignant neoplasms of respiratory and intrathoracic organs1913032.301.92–2.7625721.150.73–1.81
 Malignant neoplasms of bone and articular cartilage131.220.13–11.7011
 Melanoma and other malignant neoplasms of skin3170.640.19–2.20170.470.06–3.84
 Malignant neoplasms of breast27631.571.00–2.4610231.440.68–3.02
 Malignant neoplasms of female genital organs13570.830.46–1.525310.530.21–1.37
 Malignant neoplasms of male genital organs241000.880.56–1.377201.160.49–2.74
 Malignant neoplasms of urinary tract21741.040.64–1.685280.590.23–1.53
 Malignant neoplasms of central nervous system7320.800.35–1.8124
 Malignant neoplasms of thyroid and other endocrine organs0310
 Malignant hematologic neoplasms37871.551.06–2.2815251.981.05–3.76
 Malignant neoplasm of other and ill-defined sites501251.461.05–2.0310430.750.38–1.49
 Benign neoplasms0721
Hematologic diseases10152.431.09–5.42131.100.11–10.600310
Endocrine diseases671231.991.48–2.6817351.610.90–2.87141.760.20–15.75315.410.56–52.29
Psychiatric disorders (including those caused by alcohol and/or drug abuse)1081422.782.16–3.578270.980.45–2.1612154.662.09–10.3711122.440.97–6.09
Neurologic diseases21731.050.65–1.719142.130.92^.910610
Cardiovascular diseases5731,7611.191.08–1.3 11915821.090.92–1.285261.350.52–3.52II53.871.34–11.21
Respiratory diseases3534322.982.59–3.43401410.940.66–1.33351.400.16–11.957315.371.87–126.61
Gastrointestinal diseases1782103.102.53–3.7827432.081.28–3.3610174.171.82–9.5325106.492.80–15.05
Dermatologic diseases02223.310.47–23.480000
Rheumatologic diseases12172.581.23–5.40180.410.05–3.310010
Genitourinary diseases22781.030.64–1.6512162.481.17–5.240100
Injury or poisoning1502192.502.03–3.0827721.240.80–1.9312541.570.84–2.9314122.000.92–4.32
Not classified elsewhere1552442.321.90–2.84)32791.340.89–2.020980
Unknown51892.091.48–2.9514153.091.49–6.4011711.064.29–28.523110.470.13–1.70
Congenital cause of death25100310
Pregnancy-related death00100000

Notes:

Adjusted for sex and age.

Detailed neoplasm subanalysis not performed for sibling study populations due to small case numbers.

Abbreviations: CI, confidence interval; EPTB, extra-pulmonary tuberculosis; MRR, mortality rate ratio; PTB, pulmonary tuberculosis.

Mortality in EPTB patient population versus matched population controls

A total of 515 (27.3%) EPTB patients and 1,379 (24.3%) EPTB population controls died during the study period. A Kaplan–Meier survival curve for the EPTB cohort and their respective population control cohort is shown in Figure 2. An overall MRR of 1.24 (95% CI 1.12–1.37) was found for the EPTB cohort (Table 2). When stratified by individual risk factors, the MRR was found to decrease with increasing age at time of TB diagnosis. Also, the MRR increased with higher levels of comorbidity. The relative risk of death was not found to differ significantly when data were stratified by sex and ethnicity. The EPTB patients had an increased risk of death due to infectious, gastrointestinal, and genitourinary diseases, diabetes, and gastrointestinal and hematologic neoplasms (Table 3 and Table S1).

Mortality in PTB patient population versus their siblings

Compared with their respective siblings, the PTB patients had a significantly increased relative risk of death (MRR 3.55; 95% CI 2.57–4.91). In the stratified analyses we observed an increased risk of death in all subgroups (Table 2). As all siblings were born after January 1, 1952, for comparison we calculated MRR for PTB patients born in the same period compared with their respective control cohort (MRR 4.62; 95% CI 3.85–5.57). Compared with their siblings, the PTB patients were at increased risk of death from infectious diseases (MRR 10.56; 95% CI 2.33–47.83), malignant neoplasms (MRR 2.71; 95% CI 1.15–6.37), and cardiovascular, respiratory, and gastrointestinal diseases (Table 3).

Mortality in siblings of PTB patient population versus siblings of PTB control population

The siblings of the PTB patients had a more than twofold excess mortality compared with siblings of the PTB control cohort (Table 2), and this was not substantially reduced after exclusion of siblings with a history of TB (MRR 1.99; 95% CI 1.48–2.69), data not shown in tables. In the stratified analyses, an increased relative risk of death (MRR 2.45; 95% CI 1.76–3.40) was found for male siblings of PTB patients compared with male siblings of PTB controls. Compared with siblings of the population controls, the siblings of the PTB patients had a significantly increased risk of death from infectious diseases (MRR 10.53; 95% CI 1.76–63.00), mental disorders, including alcohol and/or drug abuse (MRR 4.66; 95% CI 2.90–10.37), and gastrointestinal diseases (MRR 4.17; 95% CI 1.82–9.53, Table 3).

Discussion

In this nationwide, population-based cohort study, we observed an almost two-fold increased long-term mortality in PTB patients compared with an age-matched and sex-matched population comparison cohort. Increased relative risk of death was mainly predicted by male sex, younger age, native citizenship, comorbidity, and HIV coinfection. Further, an increased mortality was observed in the siblings of PTB patients. An increased risk of death was also identified in EPTB patients, although smaller than for the PTB patients. To our knowledge, this is the first study to investigate long-term mortality in TB patients in a nationwide, population-based, cohort study design including estimates of mortality in siblings of TB patients. Our study has several strengths. First, the centralized registration of TB patients in Denmark enabled us to identify a large cohort of TB patients over a more than 30-year period. Second, having a purely native Danish population control cohort excludes the possible confounding related to a mixed ethnic control cohort. Third, the high proportion of microbiologically verified TB cases minimized risk of misclassification. Fourth, the extracted data originated from Danish national registries with high coverage and long-term and complete follow-up, thus providing high validity. Finally, access to the Danish registries allowed us to generate well matched, population-based comparison cohorts and identify siblings of the patients and population comparison cohorts. We were not able to adjust for potential confounding from smoking, alcohol abuse, and socioeconomic factors which may partly explain the observed excess mortality. We did not have access to patient files and were therefore not able to account for clinical parameters and treatment regimes. Also, our results are derived from a high-income setting with a low incidence of TB and HIV, and may not be comparable with settings of developing nations with a high incidence of HIV and drug-resistant TB. Several studies have identified age, male sex, comorbidity, diabetes, HIV, and native citizenship as risk factors for active TB and short-term mortality in TB patients.19,20 We identified the same factors, except age, to be risk factors for increased long-term relative risk of death. The relative risk of death was highest in the younger age categories which may seem counterintuitive, but reflects the fact that the absolute risk of death is highest in the older background population, and increased mortality in the older TB patients thereby leads to a minor impact on relative risk of death. Both PTB and EPTB patients were at increased risk of death due to TB, which is in accordance with a study from the UK which found TB to be responsible for 21% of all deaths during a 14-year follow-up.20 Both our cohorts were also at increased risk of death due to diabetes, a disease associated with not only an increased risk of TB but also increased mortality in TB patients; two retrospective US cohort studies both reported more than a six-fold increased mortality in diabetic TB patients compared with nondiabetic controls.21,22 With increasing use of biologic disease-modifying antirheumatic drugs, patients with rheumatic diseases are at increased risk of TB infection;23 this is reflected in our results, with PTB patients exhibiting more than a two-fold increased risk of death due to underlying rheumatic disease. The epidemiologic evidence that alcohol abuse and exposure to cigarette smoke increase the risk of active TB is strong.24,25 The prevalence of alcohol abuse disorders among TB patients in developed countries ranges from 10% to 50%,26–30 and it has been estimated that almost one third of Danish PTB patients suffer from alcohol abuse and one in ten from drug abuse.31,32 This is supported in our data on in-hospital admissions in the 5 years prior to TB diagnosis, where admissions linked to alcohol abuse were significantly more frequent among the PTB patients compared with population controls. Further, lower socioeconomic status is associated with active transmission of TB among native Danes.33 We observed an increased risk of long-term mortality in PTB patients from chronic lung diseases and lung cancer, alcohol and drug abuse, and gastrointestinal diseases, particularly liver-related. Also, the risk of death was increased in the siblings of these patients. Our data thereby underlines the fact that conditions related to tobacco, alcohol and drug abuse, immune suppression, and socioeconomic factors are not only risk factors for contracting TB and short-term mortality, but also are main determinants of long-term mortality. Compared with PTB patients, we observed only minor increased risk of death in the EPTB patients, which supports previous results of lower case fatality rates among patients with EPTB.19 Also, the findings point toward less impact from tobacco, alcohol, and drug abuse. We found a significantly increased risk of death due to malignant neoplasms in the PTB patient group compared with population controls. This excess mortality was primarily driven by an increased prevalence of deaths due to cancers of the airways, esophagus, breast and hematopoietic system. The majority of these subcategories have been strongly associated with smoking, alcohol abuse, and immunodeficiency.34–39 A recent population-based cohort study from Taiwan that included 5,657 TB patients and 23,984 controls found a statistically significant increased incidence of lung cancer in the years after TB infection (269 per 100,000 person-years) compared with population controls (153 per 100,000 person-years).40 The siblings of the PTB patients were at markedly increased risk of death compared with the siblings of the population controls and appeared to be at increased risk of death due to infectious and gastrointestinal diseases and alcohol and drug abuse. This high excess mortality among the siblings of PTB patients indicates that the excess long-term mortality among PTB patients cannot solely be attributed to an effect of TB infection, but must also be influenced by other family-associated, behavioral, and/or socioeconomic-related factors. We presume that these associations are explained by the fact that alcohol and drug abuse clusters in families and also leads to increased risk of TB as well as death due to infectious and gastrointestinal diseases. However, the MRR of PTB patients born after January 1, 1952 was almost twice that of their siblings, indicating that specific risk factors are also present in the PTB patient cohort and increase their mortality, although part of this excess mortality can be reflected in the younger age of the siblings. Studies have shown that growing up in an environment of low socioeconomic status increases the risk of death later in life;41,42 hence, one explanation might be that the patients and siblings share the same low socioeconomic status during childhood and are thus at increased risk of death in adulthood. Genetic predisposition to death from infectious diseases43 has been proposed along with evidence of increased genetic host susceptibility to acquiring infectious diseases such as TB.44–47 Our study has several clinical implications. It emphasizes that, in high-income settings, PTB patients suffer from substantially increased long-term mortality compared with EPTB patients and compared with the background population. Furthermore, it establishes that classical risk factors for active TB and short-term mortality are also the main risk factors for long-term mortality, and that PTB patients are at a significantly increased risk of dying from conditions related to tobacco, alcohol, and drug abuse and immune suppression. The study underlines the importance of addressing lifestyle and socioeconomic risk factors to substantially reduce long-term mortality in PTB patients.

Supplementary materials

Detailed subcategorization of causes of death according to ICD-8 and ICD-10 diagnosis codes

The 18 categories of specific underlying causes of death were specified by the International Classification of Diseases, Eighth Revision (ICD-8), codes for the years 1977–1993 and the International Classification of Diseases, Tenth Revision (ICD-10), codes for 1994–2006. For infectious diseases, the codes were 000–134.99/A00–B99; cancer 140–209/C00–C96; blood/immune diseases 280–289.99/D50–D89; endocrine diseases 240–279.09/E00–E90; mental and behavioral disorders, including those due to psychoactive substance use and inebriation 290–315/F00–F99; nervous system diseases 320–358.09/G00–G99; diseases of the sensory organs 360–389.99/H00–H59; cardiovascular diseases 390–458.99/I00–I99; respiratory diseases 460–519.99/J00–J99; digestive system diseases 520–577.99/K00–K93; skin diseases 680–709.99/L00–L99; rheumatic diseases 710–738.09/M00–M99; genitourinary diseases 580–629.99/N00–N99; neonatal/congenital disorders 740–779.99/P00–Q99; pregnancy-related diseases 630–678.09/O00–O99; injury/poisoning 800–999/S00–T98, V, W, X, Y; ill-defined causes 780–796.99/R00–R99; and no cause of death reported. Detailed cause-specific mortality rate ratios in PTB and EPTB patients compared with population controls, Denmark, 1977–2008 Abbreviations: CI, confidence interval; EPTB, extrapulmonary tuberculosis; MRR, mortality rate ratio; PTB, pulmonary tuberculosis; HIV, human immunodeficiency virus; AIDS, acquired immune deficiency syndrome.
Table S1

Detailed cause-specific mortality rate ratios in PTB and EPTB patients compared with population controls, Denmark, 1977–2008

PTB cohort
EPTB cohort
Number of patients who died (n=2,388)Number of controls who died (n=4,683)MRR95% CINumber of patients who died (n=515)Number of controls who died (n=1,379)MRR95% CI
Infectious diseases1563118.3812.50–27.021485.792.43–13.80
 Tuberculosis and HIV/AIDS1353164.3352.34–515.92100
 Other infectious diseases21282.951.66–5.24481.890.55–6.46
Malignant neoplasms5301,2421.561.41–1.731183341.170.95–1.44
 Malignant neoplasms of lip, oral cavity, and pharynx28224.652.66–8.1207
  Lip, oral cavity00
  Tongue, palate, parotid gland18144.702.34–9.44
  Tonsils and oropharynx443.650.91–14.60
  Nasopharynx00
  Hypopharynx232.430.41–14.57
  Unspecified cancer of the ear, nose, throat4114.611.63–130.69
 Malignant neoplasms of digestive organs1283491.341.10–1.6534721.561.04–2.35
  Esophagus29313.422.06–5.671120.280.04–2.12
  Stomach17441.410.81–2.47663.311.07–10.26
  Small intestine131.220.13–11.7001
  Colon331260.960.65–1.4010291.140.56–2.34
  Rectum17541.150.67–1.98763.861.30–11.48
  Liver and gallbladder13301.580.83–3.03333.310.67–16.39
  Pancreas16551.060.61–1.856141.420.54–3.69
  Unspecified gastrointestinal cancer261.220.25–6.0311
 Malignant neoplasms of respiratory and intra-thoracic organs1913032.301.92–2.7625721.150.73–1.81
  Nasal cavity and middle ear01
  Larynx12113.981.76–9.03
  Lungs (including trachea)1712782.251.86–2.72
  Pleura, mediastinum and other ill-defined sites8132.250.93–5.42
 Malignant neoplasms of bone and articular cartilage131.220.13–11.70113.310.21–52.88
 Melanoma and other malignant neoplasms of skin3170.640.19–2.20170.470.06–3.84
 Malignant neoplasms of breast27631.571.00–2.4610231.440.68–3.02
 Malignant neoplasms of female genital organs13570.830.46–1.525310.530.21–1.37
 Malignant neoplasms of male genital organs241000.880.56–1.377201.160.49–2.74
 Malignant neoplasms of urinary tract21741.040.64–1.685280.590.23–1.53
 Malignant neoplasms of central nervous system7320.800.35–1.81241.650.30–9.03
 Malignant hematologic neoplasms37871.551.06–2.2815251.981.05–3.76
  Myeloma3160.680.20–2.3504
  Lymphoma11211.910.92–3.974101.320.41–4.22
  Leukemia23501.681.03–2.7511113.311.43–7.63
 Malignant neoplasms of other and ill-defined sites501251.461.05–2.0310430.750.38–1.49
  Benign neoplasms0721
Hematologic diseases10152.431.09–5.42131.100.11–10.60
Endocrine diseases671231.991.48–2.6817351.610.90–2.87
 Diabetes mellitus56922.221.59–3.1015251.981.05–3.76
Psychiatric disorders1081422.782.16, 3.578270.980.45, 2.16
 Caused by alcohol and/or drugs87417.755.35, 11.23
 Other psychiatric disorders211010.760.47, 1.21
Neurologic diseases21731.050.65, 1.719142.130.92, 4.91
Cardiovascular diseases57317611.191.08, 1.311915821.090.92, 1.28
Respiratory diseases3534322.982.59, 3.43401410.940.66, 1.33
 Acute infections of the upper respiratory tract572.610.83, 8.2200
 Pneumonia and bronchitis791352.141.62, 2.8214480.960.53, 1.75
 Chronic illness of the lower respiratory tract2412603.382.84, 4.0323840.910.57, 1.44
 Diseases involving pleura, lung abscesses or edema28303.412.04, 5.70391.100.30, 4.07
Gastrointestinal diseases1782103.102.53, 3.7827432.081.28, 3.36
 Liver disease113626.664.88, 9.076171.170.46, 2.96
 Esophagus, stomach, duodenum14640.800.45, 1.427141.650.67, 4.10
 Inflammatory bowel disease0400
 Ileus, diverticulitis, abscess, peritonitis25412.231.35, 3.66883.311.24, 8.81
 Pancreas and gall-bladder disease22223.652.02, 6.59319.921.03, 95.39
 Other gastrointestinal disease, including hemorrhage4170.860.29, 2.55333.310.67, 16.39
Dermatologic diseases02223.310.47, 23.48
Rheumatic diseases12172.581.23, 5.40180.410.05, 3.31
Genitourinary diseases22781.030.64, 1.6512162.481.17, 5.24
Injury or poisoning1502192.502.03, 3.0827721.240.80, 1.93
Not classified elsewhere1552442.321.90, 2.8432791.340.89, 2.02
Unknown51892.091.48, 2.9514153.091.49, 6.40
Congenital cause of death2510
Pregnancy related death0010

Abbreviations: CI, confidence interval; EPTB, extrapulmonary tuberculosis; MRR, mortality rate ratio; PTB, pulmonary tuberculosis; HIV, human immunodeficiency virus; AIDS, acquired immune deficiency syndrome.

  42 in total

1.  Antirheumatic drugs and the risk of tuberculosis.

Authors:  Paul Brassard; Abbas Kezouh; Samy Suissa
Journal:  Clin Infect Dis       Date:  2006-08-10       Impact factor: 9.079

2.  The incidence of active tuberculosis in a large urban area.

Authors:  D A Enarson; J S Wang; J M Dirks
Journal:  Am J Epidemiol       Date:  1989-06       Impact factor: 4.897

3.  The Danish National Hospital Register. A valuable source of data for modern health sciences.

Authors:  T F Andersen; M Madsen; J Jørgensen; L Mellemkjoer; J H Olsen
Journal:  Dan Med Bull       Date:  1999-06

4.  Tuberculosis treatment in Denmark: treatment outcome for all Danish patients in 1992.

Authors:  T Lillebaek; S Poulsen; A Kok-Jensen
Journal:  Int J Tuberc Lung Dis       Date:  1999-07       Impact factor: 2.373

5.  Smoking and drinking in relation to cancers of the oral cavity, pharynx, larynx, and esophagus in northern Italy.

Authors:  S Franceschi; R Talamini; S Barra; A E Barón; E Negri; E Bidoli; D Serraino; C La Vecchia
Journal:  Cancer Res       Date:  1990-10-15       Impact factor: 12.701

Review 6.  Vitamin D receptor genetic polymorphisms and tuberculosis: updated systematic review and meta-analysis.

Authors:  L Gao; Y Tao; L Zhang; Q Jin
Journal:  Int J Tuberc Lung Dis       Date:  2010-01       Impact factor: 2.373

7.  Polymorphisms in IL-1beta, vitamin D receptor Fok1, and Toll-like receptor 2 are associated with extrapulmonary tuberculosis.

Authors:  Alison A Motsinger-Reif; Paulo R Z Antas; Noffisat O Oki; Shawn Levy; Steven M Holland; Timothy R Sterling
Journal:  BMC Med Genet       Date:  2010-03-02       Impact factor: 2.103

8.  The relationship between delayed or incomplete treatment and all-cause mortality in patients with tuberculosis.

Authors:  A Pablos-Méndez; T R Sterling; T R Frieden
Journal:  JAMA       Date:  1996-10-16       Impact factor: 56.272

9.  Risk factors for death among tuberculosis cases: analysis of European surveillance data.

Authors:  N Lefebvre; D Falzon
Journal:  Eur Respir J       Date:  2008-06       Impact factor: 16.671

10.  An autosomal dominant major gene confers predisposition to pulmonary tuberculosis in adults.

Authors:  Jamila El Baghdadi; Marianna Orlova; Andrea Alter; Brigitte Ranque; Mohamed Chentoufi; Faouzia Lazrak; Moulay Idriss Archane; Jean-Laurent Casanova; Abdellah Benslimane; Erwin Schurr; Laurent Abel
Journal:  J Exp Med       Date:  2006-06-26       Impact factor: 14.307

View more
  11 in total

1.  Post-tuberculosis mortality risk among immigrants to British Columbia, Canada, 1985-2015: a time-dependent Cox regression analysis of linked immigration, public health, and vital statistics data.

Authors:  C Andrew Basham; Mohammad Ehsanul Karim; Victoria J Cook; David M Patrick; James C Johnston
Journal:  Can J Public Health       Date:  2020-07-14

2.  Increased Mortality After Tuberculosis Treatment Completion in Persons Living With Human Immunodeficiency Virus in Latin America.

Authors:  Serena P Koenig; Ahra Kim; Bryan E Shepherd; Carina Cesar; Valdilea Veloso; Claudia P Cortes; Denis Padgett; Brenda Crabtree-Ramírez; Eduardo Gotuzzo; Catherine C McGowan; Timothy R Sterling; Jean W Pape
Journal:  Clin Infect Dis       Date:  2020-06-24       Impact factor: 9.079

3.  Long-term outcome of smear-positive tuberculosis patients after initiation and completion of treatment: A ten-year retrospective cohort study.

Authors:  Mesay Hailu Dangisso; Endrias Markos Woldesemayat; Daniel Gemechu Datiko; Bernt Lindtjørn
Journal:  PLoS One       Date:  2018-03-12       Impact factor: 3.240

4.  Prognostic score to predict mortality during TB treatment in TB/HIV co-infected patients.

Authors:  Duc T Nguyen; Helen E Jenkins; Edward A Graviss
Journal:  PLoS One       Date:  2018-04-16       Impact factor: 3.240

5.  Assessment of lung function in successfully treated tuberculosis reveals high burden of ventilatory defects and COPD.

Authors:  Akshay N Gupte; Mandar Paradkar; Sriram Selvaraju; Kannan Thiruvengadam; Shri Vijay Bala Yogendra Shivakumar; Krithikaa Sekar; Srinivasa Marinaik; Ayesha Momin; Archana Gaikwad; Premkumar Natrajan; Munivardhan Prithivi; Gomathy Shivaramakrishnan; Neeta Pradhan; Rewa Kohli; Swapnil Raskar; Divyashri Jain; Rani Velu; Bharath Karthavarayan; Rahul Lokhande; Nishi Suryavanshi; Nikhil Gupte; Lakshmi Murali; Sundeep Salvi; William Checkley; Jonathan Golub; Robert Bollinger; Vidya Mave; Chandrasekaran Padmapriyadarasini; Amita Gupta
Journal:  PLoS One       Date:  2019-05-23       Impact factor: 3.240

6.  Epidemiology of tuberculous lymphadenitis in Denmark: A nationwide register-based study.

Authors:  Victor Dahl Mathiasen; Andreas Halgreen Eiset; Peter Henrik Andersen; Christian Wejse; Troels Lillebaek
Journal:  PLoS One       Date:  2019-08-15       Impact factor: 3.240

7.  Long-term mortality after tuberculosis treatment among persons living with HIV in Haiti.

Authors:  Yvetot Joseph; Zhiwen Yao; Akanksha Dua; Patrice Severe; Sean E Collins; Heejung Bang; Marc Antoine Jean-Juste; Oksana Ocheretina; Alexandra Apollon; Margaret L McNairy; Kathryn Dupnik; Etienne Cremieux; Anthony Byrne; Jean W Pape; Serena P Koenig
Journal:  J Int AIDS Soc       Date:  2021-07       Impact factor: 5.396

8.  Substance use disorders and adherence to antituberculosis medications in Southwest Ethiopia: a prospective cohort study.

Authors:  Matiwos Soboka; Markos Tesfaye; Kristina Adorjan; Wolfgang Krahl; Elias Tesfaye; Yimenu Yitayih; Ralf Strobl; Eva Grill
Journal:  BMJ Open       Date:  2021-07-05       Impact factor: 2.692

9.  Factors influencing harmonized health data collection, sharing and linkage in Denmark and Switzerland: A systematic review.

Authors:  Lester Darryl Geneviève; Andrea Martani; Maria Christina Mallet; Tenzin Wangmo; Bernice Simone Elger
Journal:  PLoS One       Date:  2019-12-12       Impact factor: 3.240

10.  [Factors associated with tuberculosis mortality in Paraguay, 2015-2016Fatores associados à mortalidade por tuberculose no Paraguai, 2015-2016].

Authors:  Angélica Medina; Lucelly López; Celia Martínez; Sarita Aguirre; Edith Alarcón
Journal:  Rev Panam Salud Publica       Date:  2019-12-20
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.