Literature DB >> 31346005

Unmasking the hidden tuberculosis mortality burden in a large post mortem study in Maputo Central Hospital, Mozambique.

Alberto L Garcia-Basteiro1,2,3,4, Juan Carlos Hurtado2,5,4, Paola Castillo2,6,4, Fabiola Fernandes7, Mireia Navarro5, Lucilia Lovane7, Isaac Casas5, Llorenç Quintó2, Dercio Jordao7, Mamudo R Ismail7, Cesaltina Lorenzoni7,8, Carla Carrilho7, Ariadna Sanz2, Natalia Rakislova2,6, Aurea Mira9, Miriam J Alvarez-Martínez2,5, Anélsio Cossa1, Frank Cobelens3, Inácio Mandomando1,10, Jordi Vila2,5, Quique Bassat1,2,11,12,13,14, Clara Menendez1,2,13,14, Jaume Ordi2,6,14, Miguel J Martínez15,5,14.   

Abstract

Sensitive tools are needed to accurately establish the diagnosis of tuberculosis (TB) at death, especially in low-income countries. The objective of this study was to evaluate the burden of TB in a series of patients who died in a tertiary referral hospital in sub-Saharan Africa using an in-house real time PCR (TB-PCR) and the Xpert MTB/RIF Ultra (Xpert Ultra) assay.Complete diagnostic autopsies were performed in a series of 223 deaths (56.5% being HIV-positive), including 54 children, 57 maternal deaths and 112 other adults occurring at the Maputo Central Hospital, Mozambique. TB-PCR was performed in all lung, cerebrospinal fluid and central nervous system samples in HIV-positive patients. All samples positive for TB-PCR or showing histological findings suggestive of TB were analysed with the Xpert Ultra assay.TB was identified as the cause of death in 31 patients: three out of 54 (6%) children, five out of 57 (9%)maternal deaths and 23 out of 112 (21%) other adults. The sensitivity of the main clinical diagnosis to detect TB as the cause of death was 19.4% (95% CI 7.5-37.5) and the specificity was 97.4% (94.0-99.1) compared to autopsy findings. Concomitant TB (TB disease in a patient dying of other causes) was found in 31 additional cases. Xpert Ultra helped to identify 15 cases of concomitant TB. In 18 patients, Mycobacterium tuberculosis DNA was identified by TB-PCR and Xpert Ultra in the absence of histological TB lesions. Overall, 62 (27.8%) cases had TB disease at death and 80 (35.9%) had TB findings.The use of highly sensitive, easy to perform molecular tests in complete diagnostic autopsies may contribute to identifying TB cases at death that would have otherwise been missed. Routine use of these tools in certain diagnostic algorithms for hospitalised patients needs to be considered. Clinical diagnosis showed poor sensitivity for the diagnosis of TB at death.
Copyright ©ERS 2019.

Entities:  

Year:  2019        PMID: 31346005      PMCID: PMC6769353          DOI: 10.1183/13993003.00312-2019

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


Introduction

Tuberculosis (TB) remains a major public health concern in most countries of the world. In 2017, the World Health Organization (WHO) estimated that ∼10 million new cases and 1.6 million deaths attributable to TB [1]. As a single cause of death (CoD), TB is the main infectious killer at a global level. In addition, it is the most frequent cause of HIV-associated deaths [2], and ranks among the principal CoD among females of reproductive age [3-5]. Similar to other countries in the region, the HIV and TB epidemic in Mozambique is devastating [1, 6]. The estimated national incidence rate of TB in 2017 was 551 per 100 000 inhabitants with a case fatality ratio of 31% (∼49 000 deaths in 2017) and HIV co-infection rate of 40% among new TB cases [1]. Accurate and reliable TB mortality data are fundamental to improve patient management, prioritise public health interventions and assess progress in the WHO End TB strategy indicators [7]. Despite the enormous TB burden, there is considerable uncertainty as to the actual mortality attributable to this disease, especially in some low-income countries with high disease burden [8]. Mortality estimates based on case fatality rates reported by national TB programmes are of low quality [9]. Clinical diagnosis and verbal autopsies have limited sensitivity and specificity for diagnosing TB as the CoD compared to complete diagnostic autopsy (CDA), the current gold standard [2, 9–13]. Studies assessing clinicopathological discrepancies have shown a high degree of misclassification when assigning deaths to TB in either direction (clinically missed TB causing death and false attribution of TB as the CoD when not present) [10, 11]. Additionally, most of the TB disease identified in CDA studies is considered to be responsible for the death of the patients [2]. The diagnosis of TB disease in these studies is based on obvious macroscopic disease, confirmed microscopically by the presence of granulomas with Ziehl–Neelsen stain-positive bacilli. However, it is likely that earlier forms of TB, in which pathological findings might not be that obvious, are missed. When there are other plausible causes of death and concomitant TB disease, the exact role that TB might have played in the chain of events leading to death may not be clear. This can be especially true in immunocompromised HIV-positive patients [14]. As part of a large post-mortem study conducted at a tertiary referral hospital in Mozambique [15-18], two molecular tests were used to diagnose TB, an in-house real-time PCR and the Xpert MTB/RIF Ultra assay (Xpert Ultra). The study had two main objectives: 1) to describe the overall burden of TB as the CoD and as a concomitant finding (TB disease identified at death, but not directly causing death) and 2) to assess the proportion of clinically missed TB cases.

Methods

Study design

This was an ancillary study to a prospective observational post mortem evaluation aimed at validating minimally invasive autopsy for CoD determination in different age groups compared with CDA, the gold standard technique [19]. This study included childhood (≥1 month to 15 years), adult and maternal deaths (the latter defined as deaths among females while pregnant or within 42 days of termination of pregnancy) [20]. Traumatic deaths were excluded. The study was conducted from November 2013 to March 2015 at the Department of Pathology of the Maputo Central Hospital (Mozambique), a 1500-bed government-funded tertiary healthcare centre, in collaboration with the departments of paediatrics, internal medicine and obstetrics and gynaecology. Prior informed consent was obtained from the relatives of the deceased. The study received approval from the clinical research ethics committee of the Hospital Clinic of Barcelona (Spain; file 2013/8677) and the National Bioethics Committee of Mozambique (Mozambique; ref. 342/CNBS/13). The pathological and microbiological methods of the CDA procedures have been described elsewhere [21, 22], Samples were obtained from all organs for histological and microbiological analysis. Samples for microbiological testing were collected in nucleic-acid preserving buffer (ATL lysis buffer; Qiagen, Hilden, Germany). Clinical information was collected from each patient using a standardised questionnaire after thorough revision of the entire medical record. The data obtained included demographic data, past medical history, as well as information about the inpatient admission process, signs and symptoms, physical examination, laboratory and imaging results when available and treatment received during hospitalisation. For maternal deaths, the obstetric history was reviewed in addition. Following analyses of the CDA samples, a panel composed of a pathologist, a microbiologist and a clinician (paediatrician, internist or gynaecologist, depending on the age group) evaluated the pathological and microbiological reports of the CDA and the clinical data and assigned the CDA diagnosis of CoD. The main results of this validation project have been published [15-18]. HIV status was confirmed post mortem by an automated method detecting antibodies against HIV (ADVIA Centaur HIV 1/0/2 Enhanced assay; Siemens Healthcare Diagnostics, Tarrytown, NY, USA) and by viral load testing using the Cobas TaqMan HIV-1 test v2.0 (Roche Molecular Systems, Branchburg, NJ, USA).

TB testing strategy and laboratory procedures

The TB testing strategy of the study is summarised in figure 1. The initial microbiological diagnosis of TB was performed using an in-house real-time PCR targeting Mycobacterium tuberculosis (TB-PCR). TB-PCR was performed in all lung samples obtained at CDA, independently of the presence or absence of histological lesions, and in any other organ showing histological lesions suggestive of TB (granulomatous inflammatory reaction and/or caseous necrosis). In addition, in HIV-positive patients, TB was routinely tested by TB-PCR in all central nervous system and cerebrospinal fluid (CSF) samples (independently of the presence or absence of lesions). Histological testing for TB included Ziehl–Neelsen staining when TB was suspected on the haematoxylin and eosin-stained slides.
FIGURE 1

Algorithm for determination of tuberculosis (TB) diagnosis used in samples from complete diagnostic autopsies. CNS: central nervous system; CSF: cerebrospinal fluid; M. tuberculosis: Mycobacterium tuberculosis.

Algorithm for determination of tuberculosis (TB) diagnosis used in samples from complete diagnostic autopsies. CNS: central nervous system; CSF: cerebrospinal fluid; M. tuberculosis: Mycobacterium tuberculosis. In addition, the Xpert MTB/RIF Ultra assay (hereafter Xpert Ultra) was performed in 1) any organ with histological lesions suggestive or compatible with TB and positive TB-PCR (cases with TB disease) and 2) in all deaths in which there was microbiological–histological discordance (histological lesions suggestive of TB with negative TB-PCR or positive TB-PCR without histological lesions suggestive of TB). Tissue samples for Xpert Ultra were thawed and homogenised using a hand-held rotor-stator homogeniser (Qiagen) in ATL lysis buffer (Qiagen). 100 µL of the homogenised tissue sample was added to 300 µL of saline solution. The resulting 400 µL of sample were mixed with 1600 µL of Xpert Ultra Sample Reagent and then loaded into the cartridge. In house TB-PCR was performed using the procedures described by Espasa et al. [23].

Definitions of TB associated findings

“Histological lesions suggestive of TB” were defined as granulomatous inflammatory reactions with or without caseous necrosis, independently of the presence or absence of visible acid-fast bacilli on Ziehl–Neelsen staining. “Histological lesions compatible with TB” included nonspecific inflammatory reactions (such as neutrophilic inflammation) which have been described in TB [24]. TB disease at death” included histological lesions suggestive of TB with a positive TB-PCR or a positive Xpert Ultra in any sample or when there were TB-compatible histological lesions and both TB-PCR and Xpert Ultra were positive. TB disease at death was further classified as “TB as CoD” when the review of the entire CDA (including histological, microbiological and clinical data) following a previously described algorithm of CoD determination, deemed TB to be the CoD [15], which corresponds to the “-a diagnosis” in the WHO international form of medical certificate of death [25]. A case was classified as “concomitant TB” when histological lesions compatible with TB were present at death, but the review of the CDA deemed another disease as the most likely CoD (“-b” or “-c” diagnoses or “other significant conditions” in the WHO international form of medical certificate of death). Finally, a case was classified as “M. tuberculosis DNA detection” when both TB-PCR and Xpert Ultra were positive in the absence of compatible histological findings. A single positive TB-PCR without any histological finding compatible with TB was considered a false-positive result, since sample contamination or a true false-positive result due to assay- or human-related performance could not be ruled out.

Statistical analysis

All the clinical data and the results of the histopathological and microbiological examination of the samples were analysed using Stata 13 (StataCorp, College Station, TX, USA). We calculated the proportions of 1) cases in which TB was the CoD; 2) cases with concomitant TB; and 3) cases with M. tuberculosis DNA. We estimated the sensitivity, specificity and predictive values of the clinical diagnoses to detect TB disease as the CoD (when the clinician specified TB as the main diagnosis as well as to detect concomitant TB (when the clinician specified TB among the diagnoses or initiated anti-TB treatment), using CDA diagnoses as the gold standard.

Results

The analysis included 223 deaths: 54 children, 57 maternal deaths and 112 other adults. HIV infection was identified in 32.7% (17 out of 52), 65.2% (36 out of 57) and 63.2% (73 out of 112) of these deaths, respectively (56.5% of the overall series).

TB-associated findings

TB was diagnosed as the CoD in 31 patients: three out of 54 children (5.6%, 95% CI 1.2–15.4%), five out of 57 maternal deaths (8.8%, 95% CI 2.9–19.3%) and 23 out of 112 other adults (20.5%, 95% CI 13.5–29.2%). Among HIV-positive cases, TB was identified as the CoD in none out of 17 children (0%), three out of 34 (8.8%, 95% CI 1.9–23.7%) maternal deaths and 18 out of 73 (24.6%, 95% CI 15.3–36.1%) other adults. The most frequent form of TB as the CoD was miliary TB (23 out of 31; 74.2%), followed by pulmonary TB (six out of 31; 19.4%) and TB meningitis (two out of 31; 6.5%) (table 1). Among the 31 patients who died of TB, Xpert Ultra tested positive in all lung samples and 14 CSF samples.
TABLE 1

Number of patients with tuberculosis (TB) disease as the cause of death (CoD), with concomitant TB disease and with Mycobacterium tuberculosis detection at death by study group and among HIV-positive cases.

AutopsiesTB as CoD#Concomitant TBTotalM. tuberculosis DNA detection+Total cases with TB findings§
All autopsies
 Children543 (5.6)8 (14.8)11 (20.4)3 (5.6)14 (25.9)
 Maternal deaths575 (8.8)5 (8.8)10 (17.5)5 (8.8)15 (26.3)
 Adults11223 (20.5)18 (16.1)41 (36.6)10 (8.9)51 (45.5)
 Total22331 (13.9)31 (13.9)62 (27.8)18 (8.1)80 (35.9)
Autopsies among HIV-positive cases
 Childrenƒ170 (0.0)3 (17.6)3 (17.6)0 (0.0)3 (17.6)
 Maternal deaths365 (13.9)4 (11.1)9 (25.0)5 (13.9)14 (38.9)
 Adults7318 (24.7)13 (17.8)31 (42.5)6 (8.2)37 (50.7)
 Total12623 (18.3)20 (15.9)43 (34.1)11 (8.7)54 (42.9)

Data are presented as n or n (%). #: HIV status of two cases could not be ascertained; ¶: when review of the entire complete diagnostic autopsy (CDA) (including histological, microbiological and clinical data) following a previously described algorithm of CoD determination deemed TB to be the CoD. This definition required the presence of histological TB-compatible lesions and microbiological confirmation of TB by molecular assays; +: when histological lesions compatible with TB were present at death, but review of the CDA deemed another disease to be the most likely cause. This definition required the presence of histological TB-compatible lesions and microbiological confirmation of TB by molecular assays; §: attributed when both TB-PCR and Xpert Ultra were positive in the absence of compatible histological findings; ƒ: all cases in which TB disease was found at death (as the cause of death or as a concomitant finding) and cases in which only M. tuberculosis DNA were detected.

Number of patients with tuberculosis (TB) disease as the cause of death (CoD), with concomitant TB disease and with Mycobacterium tuberculosis detection at death by study group and among HIV-positive cases. Data are presented as n or n (%). #: HIV status of two cases could not be ascertained; ¶: when review of the entire complete diagnostic autopsy (CDA) (including histological, microbiological and clinical data) following a previously described algorithm of CoD determination deemed TB to be the CoD. This definition required the presence of histological TB-compatible lesions and microbiological confirmation of TB by molecular assays; +: when histological lesions compatible with TB were present at death, but review of the CDA deemed another disease to be the most likely cause. This definition required the presence of histological TB-compatible lesions and microbiological confirmation of TB by molecular assays; §: attributed when both TB-PCR and Xpert Ultra were positive in the absence of compatible histological findings; ƒ: all cases in which TB disease was found at death (as the cause of death or as a concomitant finding) and cases in which only M. tuberculosis DNA were detected. Concomitant TB was identified in 31 additional patients: eight out of 54 (14.8%) children, 18 out of 112 (13.9%) adults and five out of 57 (8.8%) maternal deaths. Of these, 22 had pulmonary TB, five disseminated TB (more than one organ involved) and four had extrapulmonary TB involving a single organ (one case with splenic TB, three with TB meningitis). Table 2 and figure 2 show the CoD of the cases with concomitant TB. Initially, 15 out of 31 (48.4%) cases of concomitant TB disease did not have histological lesions suggestive of TB. Only after Xpert Ultra results were available (which prompted further histological review) were the histological findings deemed as TB compatible lesions (mostly inflammatory lesions).
TABLE 2

Main cause of death of patients with concomitant tuberculosis (TB)

GroupHIV statusCDA A diagnosisInfectious agent identifiedType of TB (organs affected)
1ChildrenNegativeRabiesRabies virusPulmonary
2ChildrenNegativePeritonitisUnspecifiedPulmonary
3ChildrenNegativeMalignant brain tumourPulmonary
4ChildrenPositiveSepsisStreptococcus pneumoniaePulmonary
5ChildrenNegativeMeningoencephalitisCryptococcus gattiiExtrapulmonary (CNS)
6ChildrenPositiveMeningitisStreptococcus pneumoniaePulmonary
7ChildrenPositivePneumocystosisPneumocystis jiroveciiExtrapulmonary (CNS)
8ChildrenNegativeSepsisStreptococcus pneumoniaePulmonary
9Maternal deathsPositiveMeningoencephalitisCryptococcus neoformansExtrapulmonary (spleen)
10Maternal deathsPositiveSeptic abortionMycoplasma hominisPulmonary (miliary, both lungs)
11Maternal deathsPositiveEncephalitisUnspecifiedPulmonary
12Maternal deathsPositivePuerperal sepsisPulmonary
13Maternal deathsNegativePneumoniaUnspecifiedPulmonary
14Other adultsnegativeMucormycosisRhizopus oryzaeExtrapulmonary (CNS)
15Other adultsPositiveDiffuse large B-cell lymphomaPulmonary
16Other adultsPositiveIntracerebral haemorrhagePulmonary
17Other adultsPositiveSepsisStreptococcus dysgalactiaePulmonary
18Other adultsPositivePneumoniaKlebsiella pneumoniaeDisseminated (liver lung)
19Other adultsPositiveDiffuse large B-cell lymphomaPulmonary
20Other adultsNegativeMeningitisHerpes simplex virus type 1Pulmonary
21Other adultsPositiveSepsisEscherichia coliPulmonary
22Other adultsNegativeSepsisCandida glabrataPulmonary
23Other adultsPositiveDisseminated Kaposi's sarcomaHuman herpesvirus 8Pulmonary
24Other adultsNegativeSepsisEnterobacter spp.Pulmonary
25Other adultsPositivePneumoniaPseudomonas aeruginosaDisseminated (lung, CNS)
26Other adultsPositiveToxoplasmosisToxoplasma gondiiDisseminated (lung, liver, spleen)
27Other adultsNegativeCardiac arrestPulmonary
28Other adultsPositiveToxoplasmosisToxoplasma gondiiPulmonary
29Other adultsPositiveSepsisLegionella pneumophilaDisseminated (spleen, lung)
30Other adultsPositiveMeningitisStreptococcus pneumoniaeDisseminated (lung, CNS)
31Other adultsPositivePneumoniaUnspecifiedPulmonary

n=31. CDA: complete diagnostic autopsy; CNS: central nervous system.

FIGURE 2

Alluvial diagram showing cause of death (CoD) as assigned in the complete diagnostic autopsy (CDA) and per clinical diagnosis whenever a tuberculosis (TB) diagnosis was involved. The right  column shows all the TB diagnoses (as CoD) in CDA (n=31) as well as the associated CDA diagnoses when clinicians assigned TB as the CoD (n=5). The left column shows the clinical diagnoses of CoD when TB was specified by clinicians as well as the associated clinical diagnosis when the results of the CDA assigned TB as the CoD.

Main cause of death of patients with concomitant tuberculosis (TB) n=31. CDA: complete diagnostic autopsy; CNS: central nervous system. Alluvial diagram showing cause of death (CoD) as assigned in the complete diagnostic autopsy (CDA) and per clinical diagnosis whenever a tuberculosis (TB) diagnosis was involved. The right  column shows all the TB diagnoses (as CoD) in CDA (n=31) as well as the associated CDA diagnoses when clinicians assigned TB as the CoD (n=5). The left column shows the clinical diagnoses of CoD when TB was specified by clinicians as well as the associated clinical diagnosis when the results of the CDA assigned TB as the CoD. 18 additional cases fulfilled the definition of M. tuberculosis DNA detection: three out of 54 (5.6%) children, five out of 57 (8.8%) maternal deaths and 10 out of 112 (8.9%) adults. Of these cases, six died of an infectious cause and 12 of non-infectious conditions. Of the 18 cases in which only M. tuberculosis DNA was detected, six (33.3%) were HIV-positive, and one (5.6%) had a history of past TB. Overall, TB findings were confirmed in 80 cases: 14 out of 54 (25.9%) children, 15 out of 57 (26.3%) maternal deaths and 51 out of 112 (45.5%) other adults. Among HIV-positive patients, TB was confirmed in three out of 17 (17.6%), 14 out of 36 (38.9%) and 37 out of 74 (50.7%) of patients in each study group, respectively (table 1). Rifampicin resistance was detected by Xpert Ultra in eight cases.

Clinical characteristics of patients with TB findings

A clinical history of TB was reported in none of the children, in two (3.5%) maternal deaths and in 16 (14.3%) adults. 20 out of 31 (64.5%) patients with TB as the CoD had reported cough compared to nine out of 31 (29%) among those with concomitant TB at death (p=0.005). Among patients with TB findings, eight cases were on anti-TB treatment prior to admission, and in 10 cases anti-TB treatment was initiated during admission. No differences were observed in terms of fever at admission, between patients with TB as the CoD and those with concomitant TB (17 out of 31 (55%) versus 19 out of 31 (61%), p=0.6). The characteristics of cases with TB disease as the CoD, with concomitant TB, with M. tuberculosis DNA detection and those without any TB finding are shown in table 3.
TABLE 3

Characteristics of cases in whom the case of death was tuberculosis (TB), with concomitant TB disease at death and with Mycobacterium tuberculosis detection without histological evidence of TB

TB as cause of deathConcomitant TBM. tuberculosis DNA detectionOthers (no TB findings)Total
Subjects313118143223
Sex
 Male13 (41.9)20 (64.5)7 (38.9)55 (38.5)95 (42.6)
 Female18 (58.1)11 (35.5)11 (61.11)88 (61.5)128 (57.4)
Study group
 Children3 (9.7)8 (25.8)3 (16.7)40 (28.0)54 (24.2)
 Maternal deaths5 (16.1)5 (16.1)5 (27.8)42 (29.4)57 (25.6)
 Adults23 (74.2)18 (58.1)10 (55.6)61 (42.7)112 (50.2)
HIV status#
 Positive23 (76.7)#20 (64.5)6 (35.3)#71 (49.7)95 (43.0)
 Negative7 (23.3)#11 (35.5)11 (64.7)#72 (50.3)126 (57.0)
History of TB
 Yes6 (19.4)4 (12.9)1 (5.6)7 (4.9)18 (8.1)
 No25 (80.6)27 (87.1)17(94.4)136 (95.1)105 (91.9)
On anti-TB treatment prior to admission
 Yes4 (13.3)+4 (12.9)0 (0.0)+6 (4.4)+14 (6.4)
 No26 (86.7)+27 (87.1)17 (100)+136 (95.6)+206 (93.6)
Reported fever at admission
 Yes17(54.8)19 (61.3)7 (38.9)49 (35.5)92 (42.2)
 No14(45.2)12 (38.7)11 (61.1)89 (64.5)126 (57.8)
Reported cough at admission
 Yes20 (64.5)9 (29.0)2 (11.1)28 (20.3)59 (27.1)
 No11 (35.5)22 (71.0)16 (88.9)110 (79.7)159 (72.9)

Data are presented as n or n (%). #: HIV status could not be ascertained in two cases (one in the group who died of TB, and the other among those with M. tuberculosis detection; ¶: fever or cough was not recorded in five cases. M. tuberculosis detection included patients in whom M. tuberculosis DNA was detected without histological evidence of TB; +: information was not available in three cases.

Characteristics of cases in whom the case of death was tuberculosis (TB), with concomitant TB disease at death and with Mycobacterium tuberculosis detection without histological evidence of TB Data are presented as n or n (%). #: HIV status could not be ascertained in two cases (one in the group who died of TB, and the other among those with M. tuberculosis detection; ¶: fever or cough was not recorded in five cases. M. tuberculosis detection included patients in whom M. tuberculosis DNA was detected without histological evidence of TB; +: information was not available in three cases.

Clinicopathological discrepancies

Assuming that the first (main) clinical diagnosis was the CoD for clinicians, they had considered TB disease as the CoD in 11 of the 223 patients (4.9%). However, the clinical diagnosis of TB as the CoD was correct in only six patients (figure 2). Thus, the main clinical diagnosis had a sensitivity to detect TB disease as CoD of 19.4% (six out of 31, 95% CI 7.5–37.5%) and a specificity of 97.4% (95% CI 94.0–99.1%) (table 4). Among the six cases in which clinicians correctly specified TB as the main clinical diagnosis, complete agreement with the form or localisation was only confirmed in two cases of pulmonary TB. Four patients showing miliary TB in the CDA were diagnosed as pulmonary TB or TB meningitis (n=3 and n=1, respectively).
TABLE 4

Diagnostic performance of clinical diagnosis to determine cause of death, concomitant tuberculosis (TB) and TB disease at death (TB as cause of death + concomitant TB)

TB as cause of deathConcomitant TBTB disease at death
Sensitivity19.4 (7.5–37.5)19.4 (7.5–37.5)32.3 (18.0–49.8)
Specificity97.4 (94.0–99.1)90.1 (85.0–93.9)90.1 (87.0–95.4)
PPV54.5 (23.4–83.3)24 (9.4–45.1)55.6 (25.5–64.7)
NPV88.2 (83.1–92.2)87.4 (81.9–91.7) 77.5 (81.7–91.6)

Data are presented as % (95% CI). PPV: positive predictive value; NPV: negative predictive value.

Diagnostic performance of clinical diagnosis to determine cause of death, concomitant tuberculosis (TB) and TB disease at death (TB as cause of death + concomitant TB) Data are presented as % (95% CI). PPV: positive predictive value; NPV: negative predictive value. Clinicians specified tuberculosis as one of the diagnoses at death (or initiated TB treatment) in 36 cases. However, only 20 cases were correctly diagnosed. The sensitivity of the clinical diagnosis (including decision to treat TB) for diagnosing TB disease at death (regardless of whether it was the CoD or concomitant TB) was 32.3% (20 out of 62, 95% CI 20.9–45.3%) with a specificity of 90.1% (95% CI 84.1–94.2%). Thus, TB disease at death remained undiagnosed in 67.7% (42 out of 62) of cases. By study group, the sensitivity of any clinical diagnosis to detect TB disease at death was 27.3% (three out of 11) in children, 24.4% (10 out of 41) in adults and 10.0% (two out of 10) in maternal deaths (table 4).

Discussion

This study, which is part of one of the largest autopsy studies conducted in sub-Saharan Africa, demonstrates the enormous burden of TB among children and adults, including maternal deaths, dying in a reference hospital in Mozambique. An even higher burden was found among HIV-positive adults and maternal cases, in whom the proportion of TB findings rose up to 51% and 39%, respectively. Importantly, it also shows alarming proportions of TB disease missed by clinicians and highlights the limitations of clinical diagnosis for ascertaining TB in resource-constrained settings. In addition, the use of molecular assays (this is the first time Xpert Ultra has been used in a post mortem study) allowed M. tuberculosis to be detected in 8% (18 out of 223) of patients in whom no histological changes were identified, possibly reflecting early forms of TB. This indicates that the total burden of TB at death might be even higher than what has been reported in clinical and epidemiological and even in many autopsy studies. A high burden of TB has also been found in some autopsy studies in the countries neighbouring Mozambique, within the context of high HIV and TB burden. In Zambia, 65% of deaths in hospitalised patients aged >16 years (81% HIV-positive) were due to TB, and in Kwazulu Natal, South Africa, 50% of adult inpatient deaths aged 20–45 years had culture-confirmed TB (96% HIV-positive) [10, 26]. A meta-analysis of autopsy studies showed that the prevalence of TB among HIV-positive adult deaths in sub-Saharan Africa was 43.2% (95% CI 38.0–48.3%) [2]. We found a slightly lower percentage of cases in which TB was the CoD, perhaps because of different HIV treatment status, or because in some cases TB findings were not deemed as the most likely CoD. In fact, in their meta-analysis Gupta et al. [2] reported that in 91.4% (95% CI 85.8–97.0%) of cases in which TB was present at death it was also the primary CoD. Interestingly, we found that TB was the CoD in 50% of cases in which TB disease was present at death. This considerable proportion of TB disease not causing death can largely be explained by the additional cases with concomitant TB that were captured by a detailed pathological evaluation and the use of TB-PCR and Xpert Ultra in the diagnostic algorithm, and which might have been missed in other studies using traditional diagnostic tools. Additionally, in 18 cases with no histological evidence of TB, M. tuberculosis DNA was detected by two different molecular methods. These findings make the classification of this form of TB especially difficult, since the post mortem diagnosis of TB is not based on the diagnostic criteria used in living patients (sputum sample, presence of symptoms or chest radiography). It is unlikely that these findings correspond to contamination in the autopsy room, since disposable materials are used in each autopsy and the time that the tissue samples are exposed to potential airborne contamination is limited. Neither is it likely that these are false-positive cases, since DNA was detected by two different assays with different molecular targets. These findings may represent cases of incipient TB in which small histological lesions might be present but missed, since not all the tissue from all the organs was sampled for histological analysis [27]. However, these M. tuberculosis DNA findings may also represent the increasingly controversial concept of latent TB infection. Although it has been postulated that TB infection cannot be detected through direct diagnostic methods [28], it has been suggested that it might be detected through detailed molecular studies in cases without histological evidence [29]. It has also been suggested that there could be periods in the so-called latency or unstable infection period during which M. tuberculosis replicates at a higher rate, but this replication remains self-controlled [14]. The present study suggests and supports the idea of the existence of a spectrum of TB disease, ranging from early forms of TB in which few bacilli are present (that might not necessarily develop into TB disease) to the traditional patent TB lesions (figure 3).
FIGURE 3

Natural history of the tuberculosis (TB) model depending on bacillary burden and the likelihood of having immunological, microbiological, histological or radiological evidence at the time of death. Adapted from a model described by Esmail et al. [14].

Natural history of the tuberculosis (TB) model depending on bacillary burden and the likelihood of having immunological, microbiological, histological or radiological evidence at the time of death. Adapted from a model described by Esmail et al. [14]. Clinical misclassification of TB was very frequent. In >80% of TB identified as the CoD in CDA, the clinicians failed to identify TB as the event leading to death, and overall 67% of cases with TB disease at death were missed by the clinicians. Conversely, in 45% of the cases clinicians incorrectly established TB as the main cause of death or the presence of TB disease at death. The clinicopathological discrepancies of TB disease at death have been reported previously and have implications for patient management as well as for estimating TB mortality burden [9, 10]. Clinical diagnosis is not a good proxy of mortality by TB, and contrarily to what it was expected, it was poor in both HIV-positive and HIV-negative cases with TB disease. Thus, it is likely that the results of verbal autopsies are similarly bad or even worse as a tool to quantify TB mortality [12, 13, 30]. Nonetheless, more studies comparing verbal autopsies with CDA are needed in order to demonstrate their usefulness as a tool for assessing TB mortality burden. It was of note that out of the 36 cases with TB findings in whom clinicians specified TB as a clinical diagnosis, only 18 were started on anti-TB treatment (prior to or during admission). Possible reasons for this may be that when the patient died, clinicians might have reconsidered the potential diagnoses of the patient and then added TB, or that patients might have been too ill or died very early during admission, thus anti-TB treatment was not initiated. Poor reporting of anti-TB treatment initiation cannot be discarded. Our study has several limitations. First, our conclusions can only be generalised to hospitalised patients of settings with similar epidemiological characteristics and do not necessarily represent the contribution of TB to all population-based mortality in Maputo or Mozambique. The likelihood of being hospitalised depends on access to healthcare, health infrastructure, severity of disease determined by healthcare workers and severity perceived by patients and relatives, among other sociological and behavioural factors. Likewise, diagnostic discrepancies might occur less frequently in larger hospitals, thus, those found in this study (carried out at the main reference hospital of the country) might underestimate the number of clinicopathological discrepancies in general Mozambican health facilities. Second, as mentioned previously, all the organ samples were analysed histologically, but not all in their entirety, thus some cases of concomitant TB might have been missed. Third, TB culture was not contemplated in the study design, and this method could have helped to better characterise the microbiological findings. Likewise, the use of Xpert Ultra as a screening tool in all cases could have determined a higher number of confirmed cases and allowed estimation of the added yield of the use of this highly sensitive technology. Last, the quality of the clinical information may have been suboptimal in some cases of hospitalised patients with severe disease status, and their degree of consciousness might have caused information bias in some of the results. Thus, despite comprehensive evaluation of all the clinical records available, some relevant information about the medical history might have been missed by patients or relatives. In conclusion, we found a high burden of TB disease at death (as CoD and as concomitant disease) in all groups studied. The use of highly sensitive molecular tests in CDA helped to identify cases of TB disease at death that would have otherwise been missed. Indeed, the results demonstrate that in our setting, clinical diagnoses miss most of the TB disease which is detected in CDA. In addition, Xpert Ultra may have the potential to identify earlier forms of TB, before histological lesions are evident, or potentially, unstable latent TB infection. This one-page PDF can be shared freely online. Shareable PDF ERJ-00312-2019.Shareable
  24 in total

Review 1.  Latent Mycobacterium tuberculosis infection.

Authors:  Haileyesus Getahun; Alberto Matteelli; Richard E Chaisson; Mario Raviglione
Journal:  N Engl J Med       Date:  2015-05-28       Impact factor: 91.245

2.  High tuberculosis burden among people living with HIV in southern Mozambique.

Authors:  Alberto L García-Basteiro; Elisa López-Varela; Durval Respeito; Raquel González; Denise Naniche; Ivan Manhiça; Eusebio Macete; Frank Cobelens; Pedro L Alonso
Journal:  Eur Respir J       Date:  2014-11-13       Impact factor: 16.671

3.  What is the true tuberculosis mortality burden? Differences in estimates by the World Health Organization and the Global Burden of Disease study.

Authors:  Alberto L García-Basteiro; Joe Brew; Brian Williams; Martien Borgdorff; Frank Cobelens
Journal:  Int J Epidemiol       Date:  2018-10-01       Impact factor: 7.196

4.  Persistence of DNA from Mycobacterium tuberculosis in superficially normal lung tissue during latent infection.

Authors:  R Hernández-Pando; M Jeyanathan; G Mengistu; D Aguilar; H Orozco; M Harboe; G A Rook; G Bjune
Journal:  Lancet       Date:  2000 Dec 23-30       Impact factor: 79.321

5.  Direct detection in clinical samples of multiple gene mutations causing resistance of Mycobacterium tuberculosis to isoniazid and rifampicin using fluorogenic probes.

Authors:  Mateu Espasa; Julián González-Martín; Fernando Alcaide; Lina Marcela Aragón; Joan Lonca; Joxe Mari Manterola; Margarita Salvadó; Griselda Tudó; Pilar Orús; Pere Coll
Journal:  J Antimicrob Chemother       Date:  2005-05-06       Impact factor: 5.790

6.  WHO's new end TB strategy.

Authors:  Mukund Uplekar; Diana Weil; Knut Lonnroth; Ernesto Jaramillo; Christian Lienhardt; Hannah Monica Dias; Dennis Falzon; Katherine Floyd; Giuliano Gargioni; Haileyesus Getahun; Christopher Gilpin; Philippe Glaziou; Malgorzata Grzemska; Fuad Mirzayev; Hiroki Nakatani; Mario Raviglione
Journal:  Lancet       Date:  2015-03-24       Impact factor: 79.321

7.  Validity of a Minimally Invasive Autopsy for Cause of Death Determination in Adults in Mozambique: An Observational Study.

Authors:  Paola Castillo; Miguel J Martínez; Esperança Ussene; Dercio Jordao; Lucilia Lovane; Mamudo R Ismail; Carla Carrilho; Cesaltina Lorenzoni; Fabiola Fernandes; Rosa Bene; Antonio Palhares; Luiz Ferreira; Marcus Lacerda; Inacio Mandomando; Jordi Vila; Juan Carlos Hurtado; Khátia Munguambe; Maria Maixenchs; Ariadna Sanz; Llorenç Quintó; Eusebio Macete; Pedro Alonso; Quique Bassat; Clara Menéndez; Jaume Ordi
Journal:  PLoS Med       Date:  2016-11-22       Impact factor: 11.069

8.  Validity of a minimally invasive autopsy tool for cause of death determination in pediatric deaths in Mozambique: An observational study.

Authors:  Quique Bassat; Paola Castillo; Miguel J Martínez; Dercio Jordao; Lucilia Lovane; Juan Carlos Hurtado; Tacilta Nhampossa; Paula Santos Ritchie; Sónia Bandeira; Calvino Sambo; Valeria Chicamba; Mamudo R Ismail; Carla Carrilho; Cesaltina Lorenzoni; Fabiola Fernandes; Pau Cisteró; Alfredo Mayor; Anelsio Cossa; Inacio Mandomando; Mireia Navarro; Isaac Casas; Jordi Vila; Khátia Munguambe; Maria Maixenchs; Ariadna Sanz; Llorenç Quintó; Eusebio Macete; Pedro Alonso; Clara Menéndez; Jaume Ordi
Journal:  PLoS Med       Date:  2017-06-20       Impact factor: 11.069

9.  Measuring mortality due to HIV-associated tuberculosis among adults in South Africa: Comparing verbal autopsy, minimally-invasive autopsy, and research data.

Authors:  Aaron S Karat; Mpho Tlali; Katherine L Fielding; Salome Charalambous; Violet N Chihota; Gavin J Churchyard; Yasmeen Hanifa; Suzanne Johnson; Kerrigan McCarthy; Neil A Martinson; Tanvier Omar; Kathleen Kahn; Daniel Chandramohan; Alison D Grant
Journal:  PLoS One       Date:  2017-03-23       Impact factor: 3.240

Review 10.  Prevalence of tuberculosis in post-mortem studies of HIV-infected adults and children in resource-limited settings: a systematic review and meta-analysis.

Authors:  Rishi K Gupta; Sebastian B Lucas; Katherine L Fielding; Stephen D Lawn
Journal:  AIDS       Date:  2015-09-24       Impact factor: 4.177

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1.  Tuberculous Meningitis in Children: A Forgotten Public Health Emergency.

Authors:  Karen du Preez; Helen E Jenkins; Peter R Donald; Regan S Solomons; Stephen M Graham; H Simon Schaaf; Jeffrey R Starke; Anneke C Hesseling; James A Seddon
Journal:  Front Neurol       Date:  2022-03-17       Impact factor: 4.086

2.  Performance of the Xpert MTB/RIF Ultra Assay for Determining Cause of Death by TB in Tissue Samples Obtained by Minimally Invasive Autopsies.

Authors:  Alberto L Garcia-Basteiro; Juan Carlos Hurtado; Paola Castillo; Fabiola Fernandes; Mireia Navarro; Lucilia Lovane; Isaac Casas; Llorenç Quintó; Dercio Jordao; Mamudo R Ismail; Cesaltina Lorenzoni; Carla Carrilho; Ariadna Sanz; Natalia Rakislova; Aurea Mira; Miriam J Alvarez-Martínez; Anélsio Cossa; Frank Cobelens; Inácio Mandomando; Jordi Vila; Quique Bassat; Clara Menendez; Jaume Ordi; Miguel J Martínez
Journal:  Chest       Date:  2020-07-12       Impact factor: 9.410

3.  Minimally Invasive Tissue Sampling Findings in 12 Patients With Coronavirus Disease 2019.

Authors:  Natalia Rakislova; Maria Teresa Rodrigo-Calvo; Lorena Marimon; Inmaculada Ribera-Cortada; Mamudo R Ismail; Carla Carrilho; Fabiola Fernandes; Melania Ferrando; Esther Sanfeliu; Paola Castillo; José Guerrero; José Ramírez-Ruz; Karmele Saez de Gordoa; Ricardo López Del Campo; Rosanna Bishop; Estrella Ortiz; Abel Muñoz-Beatove; Jordi Vila; Juan Carlos Hurtado; Mireia Navarro; Maria Maixenchs; Vima Delgado; Iban Aldecoa; Antonio Martinez-Pozo; Pedro Castro; Clara Menéndez; Quique Bassat; Miguel J Martinez; Jaume Ordi
Journal:  Clin Infect Dis       Date:  2021-12-15       Impact factor: 9.079

Review 4.  Accelerating research and development of new vaccines against tuberculosis: a global roadmap.

Authors:  Frank Cobelens; Rajinder Kumar Suri; Michelle Helinski; Michael Makanga; Ana Lúcia Weinberg; Britta Schaffmeister; Frank Deege; Mark Hatherill
Journal:  Lancet Infect Dis       Date:  2022-02-28       Impact factor: 71.421

5.  Minimally Invasive Tissue Sampling as an Alternative to Complete Diagnostic Autopsies in the Context of Epidemic Outbreaks and Pandemics: The Example of Coronavirus Disease 2019 (COVID-19).

Authors:  Quique Bassat; Rosauro Varo; Juan Carlos Hurtado; Lorena Marimon; Melania Ferrando; Mamudo R Ismail; Carla Carrilho; Fabiola Fernandes; Pedro Castro; Maria Maixenchs; Maria Teresa Rodrigo-Calvo; José Guerrero; Antonio Martínez; Marcus V G Lacerda; Inacio Mandomando; Clara Menéndez; Miguel J Martinez; Jaume Ordi; Natalia Rakislova
Journal:  Clin Infect Dis       Date:  2021-12-15       Impact factor: 9.079

6.  Tuberculosis infection and stillbirth in Ethiopia-A prospective cohort study.

Authors:  John Walles; Laura García Otero; Fregenet Tesfaye; Asmamaw Abera; Marianne Jansson; Taye Tolera Balcha; Erik Sturegård; Niclas Winqvist; Stefan R Hansson; Per Björkman
Journal:  PLoS One       Date:  2022-04-11       Impact factor: 3.240

7.  Fine-grain population structure and transmission patterns of Mycobacterium tuberculosis in southern Mozambique, a high TB/HIV burden area.

Authors:  Belén Saavedra Cervera; Mariana G López; Álvaro Chiner-Oms; Ana María García; Irving Cancino-Muñoz; Manuela Torres-Puente; Luis Villamayor; Carlos Madrazo-Moya; Edson Mambuque; Guillermo Victor Sequera; Durval Respeito; Silvia Blanco; Orvalho Augusto; Elisa López-Varela; Alberto L García-Basteiro; Iñaki Comas
Journal:  Microb Genom       Date:  2022-07

8.  Mortality and risk of tuberculosis among people living with HIV in whom TB was initially ruled out.

Authors:  Juan Ignacio García; Edson Mambuque; Dinis Nguenha; Faustino Vilanculo; Charfudin Sacoor; Victor Guillermo Sequera; Manuel Fernández-Quevedo; Maxime Leroux-La Pierre; Helio Chiconela; Luis A Faife; Durval Respeito; Belén Saavedra; Tacilta Nhampossa; Elisa López-Varela; Alberto L Garcia-Basteiro
Journal:  Sci Rep       Date:  2020-09-22       Impact factor: 4.379

9.  Diagnostic performance of the Abbott RealTime MTB assay for tuberculosis diagnosis in people living with HIV.

Authors:  Belén Saavedra; Edson Mambuque; Neide Gomes; Dinis Nguenha; Rita Mabunda; Luis Faife; Ruben Langa; Shilzia Munguambe; Filomena Manjate; Anelsio Cossa; Lesley Scott; Alberto L García-Basteiro
Journal:  Sci Rep       Date:  2021-09-29       Impact factor: 4.379

  9 in total

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