Background: Iron deficiency is a major cause of anemia and is more prevalent in developing countries, posing additional burden on health care systems, in the presence of scarcity of resources. The high-risk group consists of females and children but comparatively it is higher in females due to physiological reasons. Multiple factors can predict anemia, which in turn leads to various adverse outcomes. Objective: The purpose of this literature review was to review and synthesize the findings from literature about the burden, causes, outcomes and important interventions of iron deficiency anemia for developing countries. Methods: An extensive literature review was carried out by retrieving articles from various databases like Pub med, Google scholar, Science direct, World Bank and WHO databases. Relevant articles were retrieved from different databases by using following text words and phrases: 'anemia', 'Iron deficiency', 'risk factors of anemia', 'outcomes of anemia', 'interventions' and developing countries. Results: Multiple determinants of iron deficiency anemia have been identified in the literature including genetic and environmental factors. Some of these factors are lack of proper diet, poor socioeconomic status, high parity of women, access to poor health and genetic etc. Moreover, anemia can result in various poor outcomes like fatigue, poor mental health, lack of concentration, poor feto-neonatal outcomes like stillbirth, preterm birth and postpartum Hemorrhage. Conclusion: Iron deficiency anemia is one of the important public health problems in developing countries among the women of reproductive age group. Multiple factors like age, parity, socioeconomic status and diet can determine the stores of iron in the women of reproductive age group. Anemia can lead to multiple adverse outcomes, which can be prevented by doing appropriate cost-effective interventions on time.

In the era of smart devices and connected neighborhoods, the ubiquitous monitoring and care of patients are possible with the Internet of Medical Things (IoMT). Smart healthcare devices may serve their purpose well when they are able to share patient's data with each other. However, data formats vary widely across vendors, rendering these devices not interoperable. Recent solutions mostly rely on cloud services where a source device uploads the data, and the sink devices download it conforming to their own native formats. However, the quality of service is expected to deteriorate in a cloud processing regime with inherent network delays and traffic congestion, and the real-time data acquisition and manipulation is, therefore, not possible. This article presents MeDIC, a framework of Medical Data Interoperability through Collaboration of healthcare devices. MeDIC improves over a cloud-based IoMT by utilizing translation resources at the network edge, with its probing and translating agents. The probing agents maintain a capability list of MeDIC devices within a local network and enable one MeDIC device to request data conversion from another device when the former is not capable of this conversion by itself. The translating agent of the later then converts the data into the required format and returns it to the former. These novel agents allow IoMT devices to share their redundant computing resources for data translations in order to minimize cloud accesses. Legacy devices are supported through MeDIC-enabled, fog resource managers. We evaluate MeDIC in four use cases with rigorous simulations, which prove that this collaborative framework not only reduces the uplink traffic but also improves the response time, which is critical in real-time medical applications.

BackgroundOutcomes following Coronary artery bypass grafting (GABG) vary between genders, with females having a higher postoperative mortality than males. Most of the studies are on Caucasian or mixed population and it is postulated that Asian population and in particular women have higher morbidity and mortality. In this study we have compared outcomes of elective CABG in men and women of South Asian origin in terms of morbidity and mortality.MethodsFrom January 2006 to December 2012, 1970 patients underwent isolated elective CABG at the Aga Khan University Hospital, Pakistan were selected. The prospectively collected data was analyzed retrospectively including univariate and multivariate analysis to find the association of morbidity and mortality.ResultsAmong the study patients 1664 (85%) were male and 306 (15%) female. Hypertension and diabetes were the most common comorbid conditions seen preoperatively in female patients. Atrial fibrillation and sepsis were the most common postop complications seen in females. In hospital mortality was 3.9% in female underwent CABG as against 0.6% in male. Multivariate analysis showed older age, renal failure, dyslipidemia and prolonged cross clamp time as predictors of postoperative morbidity. Multivariate analysis showed female gender, age and renal failure as predictors of in hospital mortality.ConclusionsFemale gender is an independent risk factor for postoperative mortality following CABG however, female gender is not found to be independent risk factor for morbidity. The trend of higher mortality in female patients was comparable to most studies done on Caucasian patients.

Background and Aims: The association of gestational diabetes mellitus and serum Vitamin D levels in different trimesters of pregnancy has been studied recently. We conducted this study in an prospective observational cohort of well-characterized healthy pregnant women to examine the relationship between 1 st trimester Vitamin D levels and Gestational Diabetes Mellitus (GDM) status during pregnancy. Methods: All pregnant women attending the out-patient department of Gynecology & Obstetrics, aged less than 35 years, and who were in their first trimester were included in the study. Socio-demographic, anthropometric details, clinical details, food frequency questionnaire and physical activity data was collected using validated pretested questionnaire. Results: The comparison between those with GDM and those with normal glucose levels has been illustrated. Women in the GDM are older than those in the non-GDM group. The women in GDM group were taller, heavier and their BMI was greater than those in the non-GDM group. There were no significant differences in dietary intake at baseline between mothers with GDM and those with normal glucose levels. Further, it was found that Vitamin D concentration of <30 nmol/L was found among higher among those with GDM and the relationship was statistically significant. Conclusion: There is an association between maternal Vitamin D deficiency and increased risk for GDM in early pregnancy among Kashmiri women.

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