Use of Verbal Autopsy to Determine Underlying Cause of Death during Treatment of Multidrug-Resistant Tuberculosis, India

Management of tuberculosis patients and the role of forensic medicine in COVID-19 pandemic

Tuberculosis and Coronaviral disease-19 had a global impact in 2020 and still predominating, both infectious diseases similar to the lethal pandemics spread in one route, likely airborne transmission, the infected person could spread to healthy people. However, tuberculosis slightly varies from COVID-19. Though the primordial disease of the tuberculosis epidemic has had a vast impact on this society, besides the COVID-19 pandemic with other co-morbidities, conditions faced numerous complications. This review exemplified the impact of two lethal diseases in changing patient care, diagnostic issues, and forensic sciences roles. The diagnosis of tuberculosis with a massive concern due to standard testing methods, leading to inaccuracy, sensitivity, and prolonged time consumption. In addition, unavailability of testing kits, equipment failure, over-crowd in hospitals and fewer healthcare workers, a prolonged testing period, and finally, anxiety about COVID-19. Also, the contribution of forensic sciences in the autopsy of the exact cause of infectious diseases is crucial. Likewise, during this pandemic, there has been a drastic reduction in tuberculosis incidence in high-burden countries and a synergistic effect of both diseases. So, this review summarized the overall burden of tuberculosis management during COVID-19 and followed the guidelines of various nations' healthcare authorities to mitigate the consequences of tuberculosis diagnosis and prognosis during the pandemic.

Prevalence of suicidal ideations and suicide attempts in patients with tuberculosis: A systematic review and meta-analysis

OBJECTIVE

Suicide and suicidal behaviors are reported to be common in patients with Tuberculosis (TB). This systematic review and meta-analysis aimed to quantitively assess the prevalence of suicidality and identify the factors associated with suicidality in patients with TB.

METHODS

We searched databases PubMed, SCOPUS, Web of Science, PsycINFO, and Google Scholar for studies that reported the prevalence of suicide, suicidal ideations, or suicide attempts in patients with TB. We assessed the quality of studies with the Newcastle Ottawa scale. Random-effects models were used to calculate the pooled prevalence with 95% confidence intervals (CI).

RESULTS

Nine studies (8770 participants) were included. Pooled prevalence for current suicidal ideations within the last year was 8.5% [95% CI: 5.8%12.3%]. Pooled prevalence for current suicidal attempts within the last year was 3.1% [2.2%- 4.5%]. Suicide was reported in 0.92% of TB patients at the end of 2 years, whereas 2.2% to 8.4% of all TB deaths were reported due to suicide. Factors associated with suicidality were female gender, TB retreatment, comorbid HIV, presence of another chronic medical illness, psychological distress, and comorbid psychiatric illnesses.

CONCLUSION

The prevalence rates of suicidal ideation and attempts were higher in patients with TB than in the general population. Integrating mental health services with TB programs will help develop interventions for high-risk individuals. Prospero registration number: CRD42021281849.

Validity of InterVA model versus physician review of verbal autopsy for tracking tuberculosis-related mortality in Ethiopia

BACKGROUND

In most African countries where a legitimate vital registration system is lacking, physicians often review verbal autopsy (VA) data to determine the cause of death, while there are concerns about the routine practicality, accuracy, and reliability of this procedure. In Ethiopia where the burden of tuberculosis (TB) remains unacceptably high, reliable VA data are needed to guide intervention strategies. This study aimed to validate the InterVA model against the physician VA in tracking TB-related mortality in Ethiopia.

METHODS

From a sample of deaths in Addis Ababa, Ethiopia, VAs were conducted on TB-related mortality, physician-certified verbal autopsy (PCVA) through multiple steps to ascertain the causes of death. InterVA model was used to interpret the causes of death. Estimates of TB-related deaths between physician reviews and the InterVA model were compared using Cohen's Kappa (k), Receiver-operator characteristic (ROC) curve analysis, sensitivity, and specificity to compare agreement between PCVA and InterVA.

RESULTS

A total of 8952 completed PCVA were used. The InterVA model had an optimal likelihood cut-off point sensitivity of 0.64 (95% CI: 59.0-69.0) and specificity of 0.95 (95% CI: 94.9-95.8). The area under the ROC curve was 0.79 (95% CI: 0.78-0.81). The level of agreement between physician reviews and the InterVA model to identifying TB-related mortality was moderate (k = 0.59, 95% CI: 0.57-0.61).

CONCLUSION

The InterVA model is a viable alternative to physician review for tracking TB-related causes of death in Ethiopia. From a public health perspective, InterVA helps to analyze the underlying causes of TB-related deaths cost-effectively using routine survey data and translate to policies and strategies in resource-constrained countries.

Development of the Verbal Autopsy Instrument for COVID-19 (VAIC)

BACKGROUND

Improving accuracy of identification of COVID-19-related deaths is essential to public health surveillance and research. The verbal autopsy, an established strategy involving an interview with a decedent's caregiver or witness using a semi-structured questionnaire, may improve accurate counting of COVID-19-related deaths.

OBJECTIVE

To develop and pilot-test the Verbal Autopsy Instrument for COVID-19 (VAIC) and a death adjudication protocol using it.

METHODS/KEY RESULTS

We used a multi-step process to design the VAIC and a protocol for its use. We developed a preliminary version of a verbal autopsy instrument specifically for COVID. We then pilot-tested this instrument by interviewing respondents about the deaths of 15 adults aged ≥65 during the initial COVID-19 surge in New York City. We modified it after the first 5 interviews. We then reviewed the VAIC and clinical information for the 15 deaths and developed a death adjudication process/algorithm to determine whether the underlying cause of death was definitely (40% of these pilot cases), probably (33%), possibly (13%), or unlikely/definitely not (13%) COVID-19-related. We noted differences between the adjudicated cause of death and a death certificate.

CONCLUSIONS

The VAIC and a death adjudication protocol using it may improve accuracy in identifying COVID-19-related deaths.