1496 Body mass index and use and costs of primary care services among white British and Pakistani children: findings from the born in Bradford cohort study

Objective: To determine whether a bi-directional relationship exists between depression and HF within a single population of individuals receiving primary care services, using longitudinal electronic health records (EHRs). Methods: This retrospective cohort study utilized EHRs for adults who received primary care services within a large healthcare system in 2006. Validated EHR-based algorithms identified 10,649 people with depression (depression cohort) and 5,911 people with HF (HF cohort) between January 1, 2006 and December 31, 2018. Each person with depression or HF was matched 1:1 with an unaffected referent on age, sex, and outpatient service use. Each cohort (with their matched referents) was followed up electronically to identify newly diagnosed HF (in the depression cohort) and depression (in the HF cohort) that occurred after the index diagnosis of depression or HF, respectively. The risks of these outcomes were compared (vs. referents) using marginal Cox proportional hazard models adjusted for 16 comorbid chronic conditions. Results: 2,024 occurrences of newly diagnosed HF were observed in the depression cohort and 944 occurrences of newly diagnosed depression were observed in the HF cohort over approximately 4–6 years of follow-up. People with depression had significantly increased risk for developing newly diagnosed HF (HR 2.08, 95% CI 1.89–2.28) and people with HF had a significantly increased risk of newly diagnosed depression (HR 1.34, 95% CI 1.17–1.54) after adjusting for all 16 comorbid chronic conditions. Conclusion: These results provide evidence of a bi-directional relationship between depression and HF independently of age, sex, and multimorbidity from chronic illnesses.

Download Full-text

Changes in body mass index following newly diagnosed type 2 diabetes and risk of cardiovascular mortality: A cohort study of 8486 primary-care patients

Diabetes & Metabolism ◽

10.1016/j.diabet.2013.05.004 ◽

2013 ◽

Vol 39 (4) ◽

pp. 306-313 ◽

Cited By ~ 33

Author(s):

J. Bodegard ◽

J. Sundström ◽

B. Svennblad ◽

C.J. Östgren ◽

P.M. Nilsson ◽

...

Keyword(s):

Type 2 Diabetes ◽

Primary Care ◽

Body Mass Index ◽

Cohort Study ◽

Body Mass ◽

Cardiovascular Mortality ◽

Newly Diagnosed ◽

Primary Care Patients

Download Full-text

The association between body mass index, primary healthcare use and morbidity in early childhood: findings from the Born In Bradford cohort study

Public Health ◽

10.1016/j.puhe.2018.10.019 ◽

2019 ◽

Vol 167 ◽

pp. 21-27 ◽

Cited By ~ 4

Author(s):

B. Kelly ◽

J. West ◽

T.C. Yang ◽

D. Mason ◽

T. Hasan ◽

...

Keyword(s):

Body Mass Index ◽

Early Childhood ◽

Cohort Study ◽

Body Mass ◽

Primary Healthcare ◽

Healthcare Use ◽

Born In Bradford

Download Full-text

Risk Factors for the Prediction of Hyperglycemia during Pregnancy – A Cohort Study from a Brazilian Public Primary Care Center

10.21203/rs.3.rs-33583/v1 ◽

2020 ◽

Author(s):

Joice Monaliza Vernini ◽

Bianca Nicolosi Cassetari ◽

Mariana Alvarez Arantes ◽

Roberto Araújo Costa ◽

Claudia Garcia Magalhães ◽

...

Keyword(s):

Risk Factors ◽

Primary Care ◽

Body Mass Index ◽

Cohort Study ◽

Negative Predictive Value ◽

Body Mass ◽

Gestational Age ◽

Predictive Value ◽

Fasting Glucose ◽

Primary Care Center

Abstract BACKGROUND – In Brazil, the prevalence of maternal hyperglycemia is among the highest, costs are elevated and there is no evidence to recommend universal screening. OBJECTIVE – To evaluate the performance of risk factors (RF) for predicting hyperglycemia in pregnancy – Mild Gestational Hyperglycemia (MGH) or gestational Diabetes Mellitus (GDM) in public primary-care centers in Brazil. METHODS – A cohort study, including 514 women with a single pregnancy and no hyperglycemia. Study participants were evaluated at GA (gestational age) < or ≥ 20 weeks, and underwent a 75g-OGTT along with glycemic profile (GP) testing between 24 and 28 weeks. Clinical, anthropometric and laboratory data – fasting glucose (FG), glycated hemoglobin (HbA1c), basal insulin and lipid profile were obtained. The most common RF associations (OR and 95% CI and p <0.05) and different cut-off points were tested for the prediction of MGH-GDM. Predictive performance was assessed by Sensitivity/Specificity, negative predictive value NPV (negative predictive value) and false positive rates (FP; 1-Esp). RESULTS – At GA <20 weeks, age ≥25 years, WC (Waist circumference) ≥ 88 cm, BMI pre ≥25 kg/m 2 (pre gestational body mass index) and BMI gest ≥25 kg/m 2 (gestational body mass index ); at GA (gestational age) ≥20 weeks, age ≥25 years, BMI pre ≥25 kg/m 2 and TG (triglicerides) ≥150 mg/dL showed better performace for predicting MGH-GDM. Irrespective of gestational age, FG (Fasting glucose) ≥ 85 mg/dL, HbA1c ≥5.7% and HOMA-IR ≥2.71 were good predictors to rule out the risk of these complications. CONCLUSION – The results of this study should contribute to define the best diagnostic approach to MGH-GDM in our center and in others with similar characteristics.

Download Full-text