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Abstract Introduction Long-term exposure to high-risk human papillomavirus (Hr-HPV) is a well-known necessary condition for development of cervical cancer. The aim of this study is to screen for Hr-HPV using vaginal self-sampling, which is a more effective approach to improve women’s adherence and increase screening rates. Methods This pilot study included a total of 100 Women living with HIV (WLWHIV), recruited from the Center for Listening, Care, Animation, and Counseling of People Living with HIV in Bamako. Hr-HPV genotyping was performed on Self-collected samples using the Cepheid GeneXpert instrument. Results The median age of WLWHIV was 44 (interquartile range [IQR], 37–50) years. Approximately 92% of the study participants preferred self-sampling at the clinic, and 90% opted to receive result notifications via mobile phone contact. The overall prevalence of Hr-HPV among study participants was 42.6%, and the most frequent Hr-HPV sub-types observed were HPV18/45 (19.1%), HPV31/35/33/52/58 (13.8%), and HPV39/68/56/66 (12.8%), followed by HPV16 (5.3%), and HPV51/59 (5.3%). WLWHIV under 35 years of age had a higher frequency of Hr-HPV compared to their older counterparts, with rates of 30% versus 11.1% (p = 0.03). The duration of antiretroviral treatment showed an inverse association with Hr-HPV negativity, with patients on treatment for 15 (IQR, 10–18) years versus 12 (IQR = 7–14) years for Hr-HPV positive patients (95% CI [1.2–5.8], t = 3.04, p = 0.003). WLWHIV with baseline CD4 T-Cell counts below 200 exhibited a higher frequency of Hr-HPV compared to those with baseline CD4 T-Cell counts above 200 (17.9% versus 1.9%, p = 0.009). However, other demographics and clinical factors, such as marital status, age of sexual debut, parity, education, history of abortion, history of preeclampsia, and cesarean delivery, did not influence the distribution of Hr-HPV genotypes. Conclusion Our findings indicate that WLWHIV under the age of 35 years old exhibited the highest prevalence of Hr-HPV infection, with HPV18/45 being the most prevalent subtype. Additionally, WLWHIV with baseline CD4 T-Cell counts below 200 showed the highest infection rates.

Introduction Long-term exposure to high-risk human papillomavirus (Hr-HPV) is a well-known necessary condition for development of cervical cancer. The aim of this study is to screen for Hr-HPV using vaginal self-sampling, which is a more efective approach to improve women’s adherence and increase screening rates. Methods This pilot study included a total of 100 Women living with HIV (WLWHIV), recruited from the Center for Listening, Care, Animation, and Counseling of People Living with HIV in Bamako. Hr-HPV genotyping was performed on Self-collected samples using the Cepheid GeneXpert instrument. Results The median age of WLWHIV was 44 (interquartile range [IQR], 37–50) years. Approximately 92% of the study participants preferred self-sampling at the clinic, and 90% opted to receive result notifcations via mobile phone contact. The overall prevalence of Hr-HPV among study participants was 42.6%, and the most frequent Hr-HPV sub-types observed were HPV18/45 (19.1%), HPV31/35/33/52/58 (13.8%), and HPV39/68/56/66 (12.8%), followed by HPV16 (5.3%), and HPV51/59 (5.3%). WLWHIV under 35 years of age had a higher frequency of Hr-HPV compared to their older counterparts, with rates of 30% versus 11.1% (p=0.03). The duration of antiretroviral treatment showed an inverse association with Hr-HPV negativity, with patients on treatment for 15 (IQR, 10–18) years versus 12 (IQR=7–14) years for Hr-HPV positive patients (95% CI [1.2–5.8], t=3.04, p=0.003). WLWHIV with baseline CD4 T-Cell counts below 200 exhibited a higher frequency of Hr-HPV compared to those with baseline CD4 T-Cell counts above 200 (17.9% versus 1.9%, p=0.009). However, other demographics and clinical factors, such as marital status, age of sexual debut, parity, education, history of abortion, history of preeclampsia, and cesarean delivery, did not infuence the distribution of Hr-HPV genotypes. Conclusion Our fndings indicate that WLWHIV under the age of 35 years old exhibited the highest prevalence of Hr-HPV infection, with HPV18/45 being the most prevalent subtype. Additionally, WLWHIV with baseline CD4 T-Cell counts below 200 showed the highest infection rates. [ABSTRACT FROM AUTHOR]

Summary: Background: Children in low and middle-income countries remain vulnerable following hospital-discharge. We estimated the incidence and correlates of hospital readmission among young children admitted to nine hospitals in sub-Saharan Africa and South Asia. Methods: This was a secondary analysis of the CHAIN Network prospective cohort enrolled between 20th November 2016 and 31st January 2019. Children aged 2–23 months were eligible for enrolment, if admitted for an acute illness to one of the study hospitals. Exclusions were requiring immediate resuscitation, inability to tolerate oral feeds in their normal state of health, had suspected terminal illness, suspected chromosomal abnormality, trauma, admission for surgery, or their parent/caregiver was unwilling to participate and attend follow-up visits. Data from children discharged alive from the index admission were analysed for hospital readmission within 180-days from discharge. We examined ratios of readmission to post-discharge mortality rates. Using models with death as the competing event, we evaluated demographic, nutritional, clinical, and socioeconomic associations with readmission. Findings: Of 2874 children (1239 (43%) girls, median (IQR) age 10.8 (6.8–15.6) months), 655 readmission episodes occurred among 506 (18%) children (198 (39%) girls): 391 (14%) with one, and 115 (4%) with multiple readmissions, with a rate of: 41.0 (95% CI 38.0–44.3) readmissions/1000 child-months. Median time to readmission was 42 (IQR 15–93) days. 460/655 (70%) and 195/655 (30%) readmissions occurred at index study hospital and non-study hospitals respectively. One-third (N = 213/655, 33%) of readmissions occurred within 30 days of index discharge. Sites with fewest readmissions had the highest post-discharge mortality. Most readmissions to study hospitals (371/450, 81%) were for the same illness as the index admission. Age, prior hospitalisation, chronic conditions, illness severity, and maternal mental health score, but not sex, nutritional status, or physical access to healthcare, were associated with readmission. Interpretation: Readmissions may be appropriate and necessary to reduce post-discharge mortality in high mortality settings. Social and financial support, training on recognition of serious illness for caregivers, and improving discharge procedures, continuity of care and facilitation of readmission need to be tested in intervention studies. We propose the ratio of readmission to post-discharge mortality rates as a marker of overall post-discharge access and care. Funding: The Bill & Melinda Gates Foundation (OPP1131320).

Summary: Background: Growth faltering is well-recognized during acute childhood illness and growth acceleration during convalescence, with or without nutritional therapy, may occur. However, there are limited recent data on growth after hospitalization in low- and middle-income countries. Methods: We evaluated growth following hospitalization among children aged 2–23 months in sub-Saharan Africa and South Asia. Between November 2016 and January 2019, children were recruited at hospital admission and classified as: not-wasted (NW), moderately-wasted (MW), severely-wasted (SW), or having nutritional oedema (NO). We describe earlier (discharge to 45-days) and later (45- to 180-days) changes in length-for-age [LAZ], weight-for-age [WAZ], mid-upper arm circumference [MUACZ], weight-for-length [WLZ] z-scores, and clinical, nutritional, and socioeconomic correlates. Findings: We included 2472 children who survived to 180-days post-discharge: NW, 960 (39%); MW, 572 (23%); SW, 682 (28%); and NO, 258 (10%). During 180-days, LAZ decreased in NW (−0.27 [−0.36, −0.19]) and MW (−0.23 [−0.34, −0.11]). However, all groups increased WAZ (NW, 0.21 [95% CI: 0.11, 0.32]; MW, 0.57 [0.44, 0.71]; SW, 1.0 [0.88, 1.1] and NO, 1.3 [1.1, 1.5]) with greatest gains in the first 45-days. Of children underweight (

Objectives This study evaluated the prevalence and correlates of guideline non-adherence for common childhood illnesses in low-resource settings.Design and setting We used secondary cross-sectional data from eight healthcare facilities in six Asian and African countries.Participants A total of 2796 children aged 2–23 months hospitalised between November 2016 and January 2019 with pneumonia, diarrhoea or severe malnutrition (SM) and without HIV infection were included in this study.Primary outcome measures We identified children treated with full, partial or non-adherent initial inpatient care according to site-specific standard-of-care guidelines for pneumonia, diarrhoea and SM within the first 24 hours of admission. Correlates of guideline non-adherence were identified using generalised estimating equations.Results Fully adherent care was delivered to 32% of children admitted with diarrhoea, 34% of children with pneumonia and 28% of children with SM when a strict definition of adherence was applied. Non-adherence to recommendations was most common for oxygen and antibiotics for pneumonia; fluid, zinc and antibiotics for diarrhoea; and vitamin A and zinc for SM. Non-adherence varied by site. Pneumonia guideline non-adherence was more likely among patients with severe disease (OR 1.82; 95% CI 1.38, 2.34) compared with non-severe disease. Diarrhoea guideline non-adherence was more likely among lower asset quintile groups (OR 1.16; 95% CI 1.01, 1.35), older children (OR 1.10; 95% CI 1.06, 1.13) and children presenting with wasting (OR 6.44; 95% CI 4.33, 9.57) compared with those with higher assets, younger age and not wasted.Conclusions Non-adherence to paediatric guidelines was common and associated with older age, disease severity, and comorbidities, and lower household economic status. These findings highlight opportunities to improve guidelines by adding clarity to specific recommendations.

Introduction: Many acutely ill children in low- and middle-income settings have a high risk of mortality both during and after hospitalisation despite guideline-based care. Understanding the biological mechanisms underpinning mortality may suggest optimal pathways to target for interventions to further reduce mortality. The Childhood Acute Illness and Nutrition (CHAIN) Network (www.chainnnetwork.org) Nested Case-Cohort Study (CNCC) aims to investigate biological mechanisms leading to inpatient and post-discharge mortality through an integrated multi-omic approach. Methods and analysis; The CNCC comprises a subset of participants from the CHAIN cohort (1278/3101 hospitalised participants, including 350 children who died and 658 survivors, and 270/1140 well community children of similar age and household location) from nine sites in six countries across sub-Saharan Africa and South Asia. Systemic proteome, metabolome, lipidome, lipopolysaccharides, haemoglobin variants, toxins, pathogens, intestinal microbiome and biomarkers of enteropathy will be determined. Computational systems biology analysis will include machine learning and multivariate predictive modelling with stacked generalization approaches accounting for the different characteristics of each biological modality. This systems approach is anticipated to yield mechanistic insights, show interactions and behaviours of the components of biological entities, and help develop interventions to reduce mortality among acutely ill children. Ethics and dissemination. The CHAIN Network cohort and CNCC was approved by institutional review boards of all partner sites. Results will be published in open access, peer reviewed scientific journals and presented to academic and policy stakeholders. Data will be made publicly available, including uploading to recognised omics databases. Trial registration NCT03208725.