Life expectancy among patients with pulmonary tuberculosis is less than one-third of life expectancy in the background population in Guinea-Bissau-an observational study.

BACKGROUND: Few studies have assessed life expectancy of patients with tuberculosis (TB) against a comparable background population, particularly in low-income, high-incidence settings. This study aimed to estimate the life expectancy (LE) of patients with TB in the West African country of Guinea-Bissau and compare it with the LE of the background population. METHODS: This study used data from the Bandim TB cohort from 2004-20 as well as census data from the capital of Guinea-Bissau. LE was estimated using a bootstrapped Kaplan-Meier survival analysis for patients with TB and the background population, stratifying by age of entry and various patient subgroups. The analysis was further stratified by diagnosis period and length of schooling (an indicator of socioeconomic status), to assess their influence on LE. A sensitivity analysis was performed assuming death at loss to follow-up. RESULTS: The analysis included 2278 patients and a background population of 169 760 individuals. Overall median LE among 30-year-old patients with TB was 10.7 years (95% CI: 8.7-12.6), compared with 35.8 (95% CI: 35.1-36.5) in the background population. LE was shorter in HIV-infected patients and those who had unsuccessful treatment outcome; however, even among those who were both uninfected with HIV and experienced successful treatment outcome, LE was 20% shorter than in the background population. Longer schooling appeared to decrease mortality. CONCLUSIONS: TB substantially shortens LE. This effect is present even in patients who are uninfected with HIV and who have successful treatment outcome.

Myopathy as a cause of Long COVID fatigue: Evidence from quantitative and single fiber EMG and muscle histopathology.

OBJECTIVE: To describe neurophysiological abnormalities in Long COVID and correlate quantitative electromyography (qEMG) and single fiber EMG (sfEMG) results to clinical scores and histopathology. METHODS: 84 patients with non-improving musculoskeletal Long COVID symptoms were examined with qEMG and sfEMG. Muscle biopsies were taken in a subgroup. RESULTS: Mean motor unit potential (MUP) duration was decreased in ≥ 1 muscles in 52 % of the patients. Mean jitter was increased in 17 % of the patients in tibialis anterior and 25 % in extensor digitorum communis. Increased jitter was seen with or without myopathic qEMG. Low quality of life score correlated with higher jitter values but not with qEMG measures. In addition to our previously published mitochondrial changes, inflammation, and capillary injury, we show now in muscle biopsies damage of terminal nerves and motor endplate with abundant basal lamina material. At the endplate, axons were present but no vesicle containing terminals. The post-synaptic cleft in areas appeared atrophic with short clefts and coarse crests. CONCLUSIONS: Myopathic changes are common in Long COVID. sfEMG abnormality is less common but may correlate with clinical scores. sfEMG changes may be due to motor endplate pathology. SIGNIFICANCE: These findings may indicate a muscle pathophysiology behind fatigue in Long COVID.

Life expectancy of HIV-infected patients followed at the largest hospital in Guinea-Bissau is one-fourth of life expectancy of the background population.

PURPOSE: To estimate the life expectancy (LE) of HIV-infected patients in the West African country Guinea-Bissau and compare it with the background population. METHODS: Using data from the largest HIV outpatient clinic at the Hospital Nacional Simão Mendes in the capital Bissau, a retrospective observational cohort study was performed. The study included patients attending the clinic between June 2005 and January 2018. A total of 8958 HIV-infected patients were included. In the analysis of the background population, a total of 109,191 people were included. LE incorporating loss to follow-up (LTFU) was estimated via Kaplan-Meier estimators using observational data on adult HIV-infected patients and background population. RESULTS: The LE of 20-year-old HIV-infected patients was 9.8 years (95% CI 8.3-11.5), corresponding to 22.3% (95% CI 18.5-26.7%) of the LE of the background population. (LE for 20-year-olds in the background population was 44.0 years [95% CI 43.0-44.9].) Patients diagnosed with CD4 cell counts below 200 cells/µL had a LE of 5.7 years (95% CI 3.6-8.2). No increase in LE with later calendar period of diagnosis was observed. CONCLUSIONS: LE was shown to be markedly lower among HIV-infected patients compared with the background population. While other settings have shown marked improvements in prognosis of HIV-infected patients in recent years, no improvement in Bissau was observed over time (9.8 years (95% CI 7.6-12.2) and 9.9 years (95% CI 7.6-12.1) for the periods 2005-2010 and 2014-2016, respectively).

T-cell and B-cell perturbations identify distinct differences in HIV-2 compared with HIV-1-induced immunodeficiency.

BACKGROUND: For unknown reasons, HIV-2 is less pathogenic than HIV-1, and HIV-2-induced immunodeficiency may be different from that caused by HIV-1. Previous immunological studies have hinted at possible shifts in both T-cell and B-cell subsets, which we aimed to characterize further. METHODS: From an HIV clinic in Guinea-Bissau, 63 HIV-2, 83 HIV-1, and 26 HIV-negative participants were included. All HIV-infected participants were ART-naive. The following cell subsets were analysed by flow cytometry; T cells (maturation and activation), regulatory T cells, and B cells (maturation and activation). RESULTS: After standardizing for sex, age, and CD4 T-cell count HIV-2 had 0.938 log10 copies/ml lower HIV RNA levels than the HIV-1-infected patients. Whereas T-cell maturation and regulatory T-cell profiles were similar between patients, HIV-2-infected patients had higher proportions of CD8CD28 and lower proportions of CD8PD-1+ T cells than HIV-1-infected patients. This finding was independent of HIV RNA levels. HIV-2 was also associated with a more preserved proportion of naive B cells. CONCLUSION: HIV-2 is characterized by lower viral load, and lower T-cell activation, which may account for the slower disease progression.

Assessing factors for loss to follow-up of HIV infected patients in Guinea-Bissau.

PURPOSE: The objective of this study was to ascertain vital status of patients considered lost to follow-up at an HIV clinic in Guinea-Bissau, and describe reasons for loss to follow-up (LTFU). METHODS: This study was a cross-sectional sample of a prospective cohort, carried out between May 15, 2013, and January 31, 2014. Patients lost to follow-up, who lived within the area of the Bandim Health Project, a demographic surveillance site (DSS), were eligible for inclusion. Active follow-up was attempted by telephone and tracing by a field assistant. Semi-structured interviews were done face to face or by phone by a field assistant and patients were asked why they had not shown up for the scheduled appointment. Patients were included by date of HIV testing and risk factors for LTFU were assessed using Cox proportional hazard model. RESULTS: Among 561 patients (69.5 % HIV-1, 18.0 % HIV-2 and 12.6 % HIV-1/2) living within the DSS, 292 patients had been lost to follow-up and were, therefore, eligible for active follow-up. Vital status was ascertained in 65.9 % of eligible patients and 42.7 % were alive, while 23.2 % had died. Information on reasons for LTFU existed for 103 patients. Major reasons were moving (29.1 %), travelling (17.5 %), and transferring to other clinics (11.7 %). CONCLUSION: A large proportion of the patients at the clinic were lost to follow-up. The main reason for this was found to be the geographic mobility of the population in Guinea-Bissau.