The Lancet regional health. Southeast Asia最新文献

Background

Effective control of hypertension remains challenging in low and middle-income countries. We tested the effectiveness of comprehensive approaches to hypertension management including six home visits by community health workers with regular follow up by a trained healthcare provider on blood pressure levels in Nepal.

Methods

We implemented a non-blinded, open-label, parallel-group, two-arm cluster randomised controlled trial, with 1:1 allocation ratio in Budhanilakantha municipality, Kathmandu, Nepal. Ten public health facilities and their catchment area were randomly allocated to receive comprehensive intervention or only usual hypertension care. We recruited 1252 individuals aged 18 years and older with hypertension. The primary outcome was systolic blood pressure. Secondary outcomes were diastolic blood pressure, proportion with controlled blood pressure, waist to hip ratio, body mass index, physical activity, diet quality score, daily salt intake, adherence to antihypertensives, hypertension knowledge and perceived social support. Primary analysis was by intention-to-treat using a linear mixed model.

Findings

Participants were, on average 57 years old, 60% females, 84% married, 54% Brahmin/Chettri ethnicity and 33% were illiterate. The decrease in mean systolic blood pressure (1.7 mm Hg, 95% CI −0.1, 3.4) and diastolic blood pressure (1.6 mm Hg, 95% CI 0.5, 2.6) was more in the intervention arm compared to the control. The proportion with blood pressure control (OR 1.5 95% CI 1.0, 2.1) and engaging in adequate physical activity (≥600 Metabolic equivalents of task per week) (OR 2.2, 95% CI 1.6, 3.1) were higher in the intervention arm compared to control. The change in hypertension knowledge score was higher and daily salt intake was lower in the intervention arm compared to control. Waist to hip ratio increased more and global dietary requirement scores decreased more in the intervention group and there was no effect on the body mass index and adherence to antihypertensives.

Interpretation

Community health workers facilitated home support and routine follow-up care by healthcare providers was effective in controlling blood pressure in urban Nepal. These findings suggest comprehensive interventions targeting individual, community and health system barriers are feasible in low resource settings, but larger implementation trials are needed to inform future scale-up.

Funding

This work was supported by Norwegian University of Science and Technology, Trondheim, Norway (Project number 981023100).

Lung cancer varies between Caucasians and Asians. There have been differences recorded in the epidemiology, genomics, standard therapies and outcomes, with variations according to the geography and ethnicity which affect the decision for optimal treatment of the patients. To better understand the profile of lung cancer in Southeast Asia, with a focus on India, we have comprehensively reviewed the available data, and discuss the challenges and the way forward. A substantial proportion of patients with lung cancer in Southeast Asia are neversmokers, and adenocarcinoma is the common histopathologic subtype, found in approximately a third of the patients. EGFR mutations are noted in 23–30% of patients, and ALK rearrangements are noted in 5–7%. Therapies are similar to global standards, although access to newer modalities and molecules is a challenge. Collaborative research, political will with various policy changes and patient advocacy are urgently needed.

Background

Bangladesh is making progress toward achieving zero dog-mediated rabies deaths by 2030, a global goal set in 2015.

Methods

Drawing from multiple datasets, including patient immunisation record books and mass dog vaccination (MDV) databases, we conducted a comprehensive analysis between 2011 and 2023 to understand the effectiveness of rabies control programmes and predict human rabies cases in Bangladesh by 2030 using time-series forecasting models. We also compared rabies virus sequences from GenBank in Bangladesh and other South Asian countries.

Findings

The estimated dog population in Bangladesh was determined to be 1,668,140, with an average dog population density of 12.83 dogs/km² (95% CI 11.14–14.53) and a human-to-dog ratio of 86.70 (95% CI 76.60–96.80). The MDV campaign has led to the vaccination of an average of 21,295 dogs (95% CI 18,654–23,935) per district annually out of an estimated 26,065 dogs (95% CI 22,898–29,230). A declining trend in predicted and observed human rabies cases has been identified, suggesting that Bangladesh is poised to make substantial progress towards achieving the ‘Zero by 30’ goal, provided the current trajectory continues. The phylogenetic analysis shows that rabies viruses in Bangladesh belong to the Arctic-like-1 group, which differs from those in Bhutan despite sharing a common ancestor.

Interpretation

Bangladesh's One Health approach demonstrated that an increase in MDV and anti-rabies vaccine (ARV) resulted in a decline in the relative risk of human rabies cases, indicating that eliminating dog-mediated human rabies could be achievable.

Funding

The study was supported by the Communicable Disease Control (CDC) Division of the Directorate General of Health Services (DGHS) of the People's Republic of Bangladesh.

Background

During the initial phase of the COVID-19 pandemic, the Government of India implemented a nationwide lockdown, sealing borders across states and districts. The northeastern region of India, surrounded by three international borders and connected to mainland India by a narrow passage, faced particular isolation. This isolation resulted in these states forming a relatively closed population. Consequently, the availability of population-based data from Indian Council of Medical Research, tracked through national identification cards, offered a distinctive opportunity to understand the spread of the virus among non-vaccinated and non-exposed populations. This research leverages this dataset to comprehend the repercussions within isolated populations.

Methods

The inter-district variability was visualized using geospatial analysis. The patterns do not follow any established grounded theories on disease spread. Out of 7.1 million total data weekly 0.35 million COVID-19-positive northeast data was taken from April 2020 to February 2021 including “date, test result, population density, area, latitude, longitude, district, and state” to identify the spread pattern using a modified reaction-diffusion model (MRD-Model) and Geographic Information System.

Findings

The analysis of the closed population group revealed an initial uneven yet rapidly expanding geographical spread characterized by a high diffusion rate α approximately 0.4503 and a lower reaction rate β approximately 0.0256, which indicated a slower growth trajectory of case numbers rather than exponential escalation. In the latter stages, COVID-19 incidence reached zero in numerous districts, while in others, the reported cases did not exceed 100.

Interpretation

The MRD-Model effectively captured the disease transmission dynamics in the abovementioned setting. This enhanced understanding of COVID-19 spread in remote, isolated regions provided by the MRD modelling framework can guide targeted public health strategies for similar isolated areas.

Funding

This study is Funded by Indian Council of Medical Research (ICMR).

Background

Ventilator-associated pneumonia (VAP) is a major cause of morbidity and mortality in patients receiving mechanical ventilation in India. Surveillance of VAP is essential to implement data-based preventive measures. Implementation of ventilator-associated events (VAE) criteria for surveillance has major constraints for low resource settings, which can lead to significant underreporting. Surveillance of VAP using common protocols in a large network of hospitals would give meaningful estimates of the burden of VAP in low resource settings. This study leverages a previously established healthcare-associated infections (HAI) surveillance network to develop and test a modified VAP definition adjusted for Indian settings.

Methods

In this observational pilot study, thirteen hospitals from the existing HAI surveillance network were selected for developing and testing a modified VAP definition between February 2021 and April 2023. The criteria used for diagnosing VAP were adapted from the CDC’s Pediatric VAP definition and modified to cater to the needs of Indian hospitals. Designated nurses recorded each VAP event in a case report form (CRF) and also collected denominator data. The data was entered into an indigenously developed database for validation and analysis. At the time of data analysis, a questionnaire was sent to sites to get feedback on the performance of the modified VAP definitions.

Findings

Out of 133,445 patient days and 40,533 ventilator days, 261 VAP events were recorded, with an overall VAP rate of 6.4 per 1000 ventilator days and a device utilization ratio (DUR) of 0.3. A total of 344 organisms were reported from the VAP events. Of these, Acinetobacter spp (29.6%, 102) was the most frequent, followed by Klebsiella spp (26.7%, 92). Isolates of Acinetobacter spp (98%) and Enterobacterales (85.5%) showed very high resistance against Carbapenem. Colistin resistance was observed in 6% of Enterobacterales and 3.2% of Acinetobacter spp.

Interpretation

Data from this pilot study needs to validated in the larger Indian HAI surveillance network so that it can help in wider implementation of this protocol in order to assess its applicability p VAP across India.

Funding

This work was supported by a grant received from the Indian Council of Medical Research (code I-1203).