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This study was conducted to establish the association between glycated haemoglobin (HbA1c) and left ventricular diastolic dysfunction (LVDD) in non-hypertensive patients with newly diagnosed type 2 diabetes mellitus (DM) and determine the cut-off value of HbA1c for detecting LVDD.
Cross-sectional study.
This study was conducted in General Medicine Department in collaboration with the Cardiology Department at All India Institute of Medical Sciences, Patna.
The study population comprised patients with newly diagnosed type 2 DM within the past 3 months, aged between 18 years and 80 years, who were not hypertensive and without any systemic diseases and who presented to the General Medicine Department.
The presence of LVDD was the primary outcome measure.
Among the total of 60 participants, it was observed that age (adjusted odds ratio (AOR): 1.169, 95% CI: 1.066 to 1.283) and HbA1c (AOR: 2.625, 95% CI: 1.264 to 5.450) were found to be independent predictors for the presence of LVDD. Receiver operating characteristic analysis identified a cut-off value of HbA1c at 9.5% (80 mmol/mol) for detecting LVDD, with a specificity of 96.43%, a sensitivity of 37.5% and a positive predictive value (PPV) of 91.62%.
This study demonstrated that age and HbA1c levels are independent predictors of LVDD in patients with newly diagnosed type 2 DM without hypertension. A cut-off value of 9.5% for HbA1c was identified with a high specificity and PPV for predicting LVDD in patients with newly diagnosed type 2 diabetes. This underscores the importance of conducting echocardiography in patients with newly diagnosed asymptomatic type 2 diabetes with HbA1c 9.5% or more to assess LVDD, allowing for prompt interventions if necessary and to decelerate the progression towards heart failure.
by Mahbubur Rahman, Mahbub-Ul Alam, Sharmin Khan Luies, Sharika Ferdous, Zahidul Mamun, Musarrat Jabeen Rahman, Debashish Biswas, Tazrina Ananya, Asadullah, Abul Kamal, Ritthick Chowdhury, Eheteshamul Russel Khan, Dara Johnston, Martin Worth, Umme Farwa Daisy, Tanvir Ahmed
BackgroundThe influx of Forcibly Displaced Myanmar Nationals (FDMNs) has left the Southwest coastal district of Cox’s Bazar with one of the greatest contemporary humanitarian crises, stressing the existing water, sanitation, and hygiene (WASH) resources and services. This study aimed to assess the existing capacity of local institutions involved in delivering WASH services and identify relevant recommendations for intervention strategies.
MethodsWe used a qualitative approach, including interviews and capacity assessment workshops with institutions engaged in WASH service delivery. We conducted five key informant interviews (KII) with sub-district level officials of the Department of Public Health Engineering (DPHE), Directorate General of Health Services (DGHS), Directorate of Primary Education (DPE) and Bangladesh Rural Advancement Committee (BRAC) to have a general idea of WASH service mechanisms. Seven capacity assessment workshops were organized with the relevant district and sub-district level stakeholders from August 2019 to September 2019. These workshops followed three key areas: i) knowledge of policy, organizational strategy, guidelines, and framework; ii) institutional arrangements for service delivery such as planning, implementation, coordination, monitoring, and reporting; and iii) availability and management of human, financial and infrastructural resources. Data were categorized using thematic content analysis.
ResultsThe majority of stakeholders lacked awareness of national WASH policies. Furthermore, the top-down planning approaches resulted in activities that were not context-specific, and lack of coordination between multiple institutions compromised the optimal WASH service delivery at the local level. Shortage of human resources in delivering sustainable WASH services, inadequate supervision, and inadequate evaluation of activities also required further improvement, as identified by WASH stakeholders.
ConclusionResearch evidence suggests that decision-makers, donors, and development partners should consider learning from the WASH implementers and stakeholders about their existing capacity, gaps, and opportunities before planning for any WASH intervention in any particular area.
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