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NCT ID: NCT04412746 Recruiting - Diabetes Mellitus Clinical Trials

Covid-19 and Diabetes in West of Algeria

COVIDIAB-13
Start date: April 1, 2020
Phase:
Study type: Observational

By Jan 7, 2020, Chinese scientists had isolated a novel coronavirus, from patients with virus-infected pneumonia. The WHO designated later this virus as COVID-19 (coronavirus disease 2019). This exponential pandemic coronavirus infection is responsible for severe forms in 15 to 20%, for critical ill requiring ventilation in 5% and for mortality in 2%. Algeria was part of the 13 top priority countries identified by WHO based on their direct links and volume of travel to the infected provinces in China. It is known that some predisposing conditions lead to a worse outcome with coronavirus. In China, the overall case-fatality rate was 2.3%, but was higher in patients with diabetes (7.3%). In Italy, the most common comorbidities associated with death from COVID-19 were hypertension (73.8%) and diabetes (33.9%). The US Centers for Disease Control and Prevention suggests diabetes is the most common comorbidity in COVID-19 cases. In the largest cohort NHS England study, death from COVID-19 was strongly associated with uncontrolled diabetes (after full adjustment, HR 2.36). The West Algerian CORODIAB-13 study aims is (1) to assess the prevalence of diabetes among hospitalized patients with Covid-19, (2) to describe the phenotypic characteristics of patients with diabetes, and (3) to identify the parameters specific to the diabetic which are associated with severe forms. In the future, this study will provide answers for two main questions 1. Why diabetics are more at risk of developing Covid-19 infection? 2. Why diabetics are at high risk of developing severe forms?

NCT ID: NCT03713931 Recruiting - COPD Clinical Trials

PUMA Implementation 2

IPUMA2
Start date: November 14, 2018
Phase:
Study type: Observational [Patient Registry]

COPD is underdiagnosed and spirometry is not widely available in primary care settings. This study explore the value of PUMA´s questionnaire in a case finding strategy to detect patients to perform spirometry in a real world scenario of primary care health venues.

NCT ID: NCT02905552 Recruiting - Infection Clinical Trials

Myelodysplasic Syndromes and Risk Factors for Infection

MYRIFIC
Start date: September 2016
Phase: N/A
Study type: Observational

Myelodysplastic Syndromes (MDS) are characterized by quantitative and qualitative bone marrow failure and by a disorder of the medullary production which is a pre-leukemic state which can evolve into acute myeloid leukemia. The risk of leukemic transformation is estimated by the score IPSS (International Prognostic Score System). We distinguish the MDS of low risk (IPSS<1) and those of high risk of leukemic transformation (IPSS=1,5). Besides the risk of leukemic transformation, MDS much be complicated of infections which could be life-threatening. The risk of developing first infection after the diagnosis of MDS of high risk is probably influenced by anamnestic (disease duration, comorbidities), clinical (veinous central catheter, previous hospitalization), biological (neutropenia, lymphopenia, serum ferritin) and therapeutics (demethylating agent, lenalidomide, erythropoietin, G-CSF, transfusions, anti-infectious preventive treatment) factors. Their identification will allow for improved targeting of the population which is is likely to benefit from anti-infective prophylaxis Primary objective is to identify risk factors associated with first acute episode of infection in patients with MDS, by comparing index cases and matched control cases who did not develop infection episode since diagnosis. Secondary objectives are to explore nature and severity of infectious episodes, number of recurrences during 1 year of follow up and survival at 6 and 12 months

NCT ID: NCT02105051 Recruiting - Risk Factors Clinical Trials

A Population-based Investigation of Related Factors of Birth Weight in China

Start date: n/a
Phase: N/A
Study type: Observational

The purpose of this study is to establish Chinese neonatal network to investigate current situation of neonatal birth weight and related factors. We investigated the risk factors such as sex, gestational age, region, nation, altitude, place of residence, maternal occupation, education level of mother, maternal age, maternal pregnancy diseases and multiple births.