Understanding noma: WHO's recognition and the path forward in global health

The World Health Organization's (WHO) designation of noma as a neglected tropical disease (NTD) on 15 December 2023 marks a crucial advancement in global health efforts. This move sheds light on a condition predominantly affecting undernourished children in isolated regions of sub-Saharan Africa. Recognized as the 21st NTD, noma, or cancrum oris, is a serious condition leading to orofacial gangrene. The disease largely impacts young children and those with compromised immune systems, including individuals with human immunodeficiency virus or leukaemia. Determining the exact prevalence of noma is complex, hindered by rapid disease progression, societal stigma and a lack of reporting, especially in impoverished areas. The WHO's acknowledgment is a significant step, emphasizing the need for more in-depth research and resources to address this overlooked disease. It highlights the critical role of multifaceted prevention strategies, including economic empowerment, improved nutrition and enhanced vaccination efforts. This recognition is pivotal in guiding international health initiatives towards better outcomes for some of the most at-risk populations globally.

Antenatal depression among pregnant mothers in Afghanistan: A cross-sectional study

BACKGROUND

Approximately one in five pregnant women experience antenatal depression globally. The purpose of the present study was to estimate the prevalence of antenatal depression and explore its relationship between various demographic variables, recent sexual engagement, and recent adverse life events among pregnant Afghan women.

METHODS

A cross-sectional survey study was carried out between January, 2023 and April 2023 among 460 women aged 15-45 years who were recruited using convenience sampling from Herat province (Afghanistan). Logistic regression models were utilized to explore the relationship between antenatal depression and socio-demographic characteristics among the participants.

RESULTS

The prevalence of antenatal depression symptoms was 78.5%. Multiple regression analysis indicated that antenatal depression was significantly associated with (i) being aged 30-45 years (AOR: 4.216, 95% CI: 1.868-9.515, p = .001), (ii) being of low economic status (AOR:2.102, 95% CI: 1.051-4.202, p = .036), (iii) not being employed (AOR: 2.445, 95% CI:1.189-5.025, p = .015), (iv) not having had sex during the past seven days (AOR: 2.335, 95% CI: 1.427-3.822, p = .001), and (v) not experiencing a traumatic event during the past month (AOR:0.263, 95% CI: 0.139-0.495, p < .001).

CONCLUSION

The present study provides insight into the factors associated with the high prevalence of antenatal depression among pregnant Afghan women (e.g., demographic variables, recent adverse life events, and recent sexual engagement). It highlights the urgency of addressing antenatal depression in Afghanistan and provides a foundation for future research and interventions aimed at improving the mental health and well-being of pregnant women in the Afghan context.

Arachnoid cyst in the quadrigeminal cistern: A case from Afghanistan

Arachnoid cysts, fluid-filled lesions within the central nervous system, pose diagnostic challenges. This study examines a unique case of a quadrigeminal arachnoid cyst in a 13-year-old girl, emphasizing accurate identification and treatment. The patient's symptoms of blurred vision and headaches led to the discovery of papilledema and imaging revealing a sizable cyst causing obstructive hydrocephalus. Urgent surgical intervention involved suboccipital craniectomy and infratentorial-supracerebellar cyst drainage, resulting in favorable postoperative outcomes. Further analysis of anatomical variations, age-related factors, and etiological debates deepens understanding. Diagnostic advancements, notably MRI, are crucial for noninvasive characterization. This case offers nuanced insights into managing arachnoid cysts, highlighting the success of tailored surgical strategies. Recognizing clinical subtleties, utilizing diagnostic innovations, and customizing surgical techniques are essential for navigating complexities. This study underscores the importance of a comprehensive approach in addressing the challenges of arachnoid cysts within the central nervous system.

Hypertension, depression, and health-related quality of life among hospitalized patients in Afghanistan

In recent decades, hypertension has become the foremost risk factor for disability-adjusted life years (DALYs). The present study investigated the relationship between quality of life, depression, and hypertension among hospitalized patients in Afghanistan. A cross-sectional survey was administered from September 3, 2022, to February 2, 2023, in the Herat and Mazar-e-Sharif provinces of Afghanistan (N = 2059). The prevalence of depression symptoms was 65.8%, and hypertension was 20.9%. Multiple regression analysis indicated that moderate physical functioning, poor role-physical, higher bodily pain, poor general health, poor social functioning, lower role-emotional, and poor mental health significantly predicted depression. Multiple regression analysis indicated that moderate quality of life, poor physical functioning, higher bodily pain, lower energy/fatigue, and depression significantly predicted hypertension. The findings of the present study offer valuable insights for healthcare providers, policymakers, and researchers in developing targeted interventions and policies to enhance the well-being of individuals facing the challenges of depression and hypertension. The prevalence of hypertension and depression was high among patients in the Herat and Mazar-e-Sharif provinces of Afghanistan. Patients with hypertension had poor mental and physical quality of life. Hospitals should therefore implement regular screening for depression and offer psychological counseling for vulnerable patients with hypertension.

Depression, anxiety and quality of life of Afghan women living in urban areas under the Taliban government: a cross-sectional study

OBJECTIVES

According to the World Health Organization, depression is a common mental health illness that is characterised by a persistent feeling of sadness and loss of interest. The present study examined the association of two mental health variables (ie, depression, anxiety) with quality of life (QoL) and the sociodemographic characteristics of Afghan women living in urban areas under the rule of Taliban government in Afghanistan.

DESIGN

Cross-sectional study administered between 10 November 2021 to 25 December 2021 among women.

SETTING

Across major provinces of Afghanistan (Herat, Mazar-e-Sharif, Kabul and Samangan).

MEASUREMENTS

Data were collected using a pretested structured questionnaire. Data entry was carried out using Microsoft Excel 2016. And then exported to IBM SPSS V.26 for Microsoft Windows. Logistic regression models were used to examine the association of depression, anxiety with QoL and sociodemographic characteristics among women (N=438).

RESULTS

The prevalence of depression symptoms was 80.4%, and the prevalence of mild to extremely severe anxiety was 81.0%. Depression symptoms among Afghan women were associated with being older, having more children, lower education level, other individuals' bad behaviour, bad events experienced in the past month, and feeling physically ill. Multiple regression analysis indicated that low monthly household income (adjusted OR, AOR 2.260; 95% CI 1.179 to 4.331, p=0.014) poor physical domain of QoL (AOR 4.436; 95% CI 1.748 to 11.256, p=0.002) and poor psychological domain of QoL (AOR 23.499; 95% CI 7.737 to 71.369, p<0.001) were significantly associated with depression.

CONCLUSION

The prevalence of depression was high among women living under the government of the Taliban in Afghanistan. Considering the high prevalence of depression, anxiety and their impact on QoL and the overall quality of healthcare services, international health organisations should implement programmes for regular screening of depression and anxiety, and there should be psychological counselling services available for vulnerable women living under the government of the Taliban.

Prevalence and predictors of depression among women in Afghanistan: a cross-sectional study

Depression is a very common mental health illness characterized by a cluster of signs and symptoms ranging from mood disturbances and sleep or appetite disorders to physical manifestations of the body. The purpose of the present study was to estimate the prevalence of depression and its related factors among Afghan women. A cross-sectional study was conducted among women between July 14, 2021, to August 15, 2021, in Kabul, Mazar-e-Sharif and Samangan provinces (Afghanistan). A total of 664 Afghan women participated in the study (mean age = 28.85 years; SD ± 11.57). In order to assess depression among participants, the 19-item validated Dari version of the Center for Epidemiological Studies–Depression Scale was used. Approximately four-fifths of the sample had depression symptoms (79.1%). Participants with depression symptoms were significantly more likely to (i) be aged over 30 years, (ii) live in rural areas, (iii) have a low-income level, (iv) not have an occupation, (v) have any disease/illness, and (vi) have experienced an event that had mentally affected them in the past month. Considering the high prevalence of depression symptoms among Afghan women, there is a need to integrate mental health services for women in Afghanistan. The use of interventions including regular screening for depression symptoms, and educating women and girls concerning the symptoms of depression for early self-diagnosis are essential.

Predicting cardiovascular risk factors from facial & full body photography using deep learning

Introduction

The early and easy detection of pathological cardiovascular phenotypes can lead to an early medical intervention and thus slow or limit the development of cardiovascular diseases. As full body photographs are easily obtainable without the need of medical expertise, this modality holds the potential to be viable for screening of populations.

Purpose

Utilizing data from a population-based study, we examined the possibility to detect cardiovascular risk factors from total body photographs using deep learning.

Methods

A population-based cohort study was utilized. The first data release provides facial and full body photographs in dermatologic standard poses of 6500 participants (median age 62.0 years, 49.6% men) and corresponding cardiovascular risk factors. Here, we focus on the most prevalent ones: smoking status (prevalence: 19.0%), hypertension (35.3%) and diabetes (8.2%). Here we employ a 2D-Convolutional Resnet-18 Neural Network for predicting the risk factors. It receives the full body image, the facial image and age and sex as input. We compare this to a logistic regression model only including sex and age. Logistic Regression and Neural Network are employed in a 5-fold validation scheme and t-tested for significance.

Results

Our model provided a good detection of arterial hypertension (AUC 0.711, CI 0.684–0.739), while a logistic regression on age and sex yielded a significantly worse prediction (AUC 0.681, CI 0.679– 0.683, p&lt;0.05). Additionally, it made a good detection of a positive smoking status (AUC 0.733, CI 0.711–0.754), being significantly better than a respective logistic regression on age and sex (AUC 0.598, CI 0.597–0.6, p&lt;0.001). Lastly, it classified diabetes well (AUC 0.744, CI 0.724–0.764, p&lt;0.001) in comparison to the logistic regression (AUC 0.681, CI 0.679–0.683, p&lt;0.001).

Conclusion

The presence of cardiovascular risk factors can be detected from a total body photograph. As total body photographs can be easily obtained with a majority of digital cameras, including smart phones, this model represents a potentially widely applicable diagnostic tool to easily screen large parts of the population for relevant cardiovascular risk factors, making an early medical intervention possible.

Funding Acknowledgement

Type of funding sources: None.