Where there is no weighing scale:Newborn nourishment and care in Pakistani Punjab

A third of babies in South Asia are born low birthweight, more than in sub-Saharan Africa. This epidemiological enigma has been linked to gender and generational inequalities and to poor health and nutrition over the whole of women’s lives. High rates of breastfeeding initiation are accompanied by high rates of colostrum avoidance, the giving of prelacteal feeds and early supplementation with formula or animal milks as well as other substances. Meanwhile, in Pakistan – despite the extensive presence of public community maternal and child health workers – very few babies are weighed at birth. This paper draws on an ethnographic study conducted in 2014-16 in rural and urban Punjab, to shed light on the interpretation, nourishment and care of newborns who are identified to be kamzoor (weak), and to comment on the extent to which carers’ efforts are influenced by community health workers, who are charged with spreading modern biomedical knowledge and practices. Kamzoori is understood to be caused by maternal depletion and is managed very simply at home by augmenting breastfeeding and giving supplementary milks, and by keeping the baby warm and massaged. In cases where weak newborns do not recover weight, spiritual explanations are invoked and treated through a variety of home remedies/methods. There are often similarities between the interpretations of mothers, grandmothers, and health workers. The paper therefore considers health workers to be engaged in complex cultural translations

COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records

BACKGROUND: Updatable estimates of COVID-19 onset, progression, and trajectories underpin pandemic mitigation efforts. To identify and characterise disease trajectories, we aimed to define and validate ten COVID-19 phenotypes from nationwide linked electronic health records (EHR) using an extensible framework. METHODS: In this cohort study, we used eight linked National Health Service (NHS) datasets for people in England alive on Jan 23, 2020. Data on COVID-19 testing, vaccination, primary and secondary care records, and death registrations were collected until Nov 30, 2021. We defined ten COVID-19 phenotypes reflecting clinically relevant stages of disease severity and encompassing five categories: positive SARS-CoV-2 test, primary care diagnosis, hospital admission, ventilation modality (four phenotypes), and death (three phenotypes). We constructed patient trajectories illustrating transition frequency and duration between phenotypes. Analyses were stratified by pandemic waves and vaccination status. FINDINGS: Among 57 032 174 individuals included in the cohort, 13 990 423 COVID-19 events were identified in 7 244 925 individuals, equating to an infection rate of 12·7% during the study period. Of 7 244 925 individuals, 460 737 (6·4%) were admitted to hospital and 158 020 (2·2%) died. Of 460 737 individuals who were admitted to hospital, 48 847 (10·6%) were admitted to the intensive care unit (ICU), 69 090 (15·0%) received non-invasive ventilation, and 25 928 (5·6%) received invasive ventilation. Among 384 135 patients who were admitted to hospital but did not require ventilation, mortality was higher in wave 1 (23 485 [30·4%] of 77 202 patients) than wave 2 (44 220 [23·1%] of 191 528 patients), but remained unchanged for patients admitted to the ICU. Mortality was highest among patients who received ventilatory support outside of the ICU in wave 1 (2569 [50·7%] of 5063 patients). 15 486 (9·8%) of 158 020 COVID-19-related deaths occurred within 28 days of the first COVID-19 event without a COVID-19 diagnoses on the death certificate. 10 884 (6·9%) of 158 020 deaths were identified exclusively from mortality data with no previous COVID-19 phenotype recorded. We observed longer patient trajectories in wave 2 than wave 1. INTERPRETATION: Our analyses illustrate the wide spectrum of disease trajectories as shown by differences in incidence, survival, and clinical pathways. We have provided a modular analytical framework that can be used to monitor the impact of the pandemic and generate evidence of clinical and policy relevance using multiple EHR sources. FUNDING: British Heart Foundation Data Science Centre, led by Health Data Research UK

Trends and Outcomes of Non-Small-Cell Lung Cancer in Omani Patients : Experience at a university hospital

Objectives: The incidence of lung cancer in Oman has shown a gradual but definitive increase since 2002. This study aimed to evaluate the demographic and epidemiological characteristics and survival outcomes of patients with non-small-cell lung cancer (NSCLC) at a university hospital in Oman. Methods: This study was conducted from January to June 2016. A retrospective analysis was performed of consecutive patients diagnosed with NSCLC presenting to the Sultan Qaboos University Hospital (SQUH) in Muscat, Oman, between March 2000 and December 2015. Clinical features at presentation and prognostic and predictive markers were reviewed. Kaplan-Meir estimates were used to determine relapse-free survival, progression-free survival (PFS) and overall survival (OS). Results: A total of 104 patients presented to SQUH during the study period. The median age at diagnosis was 64 years. Overall, 62 patients (59.6%) had adenocarcinomas. Only 12 patients (11.5%) presented in the early stages (I or II) of the disease and the majority of patients had an Eastern Cooperative Oncology Group performance status of 1 (27.9%) or 2 (26.0%). The prevalence of epidermal growth factor receptor mutations was 27.9%. The median PFS for patients with advanced disease (stages III or IV) was five months and the median OS for all patients was seven months. After five years, 50.0%, 60.0%, 10.0% and 8.0% of patients with disease stages I, II, III and IV, respectively, were alive. Conclusion: Patients with NSCLC in Oman were found to present at an advanced stage. However, patient outcomes were similar to those reported in the USA