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BACKGROUND: While previously considered a transient condition, with no lasting adverse impact, gestational diabetes mellitus (GDM) is now a well-established risk factor for developing type 2 diabetes mellitus (T2DM). The risk of developing T2DM appears to be particularly high in the first few years after childbirth, providing a compelling case for early intervention. This review provides an up-to-date systematic review and meta-analysis to assess the effectiveness of interventions to reduce incidence of T2DM in women with a recent history of GDM. METHODS: The search was conducted on October 20, 2023 with an annual surveillance planned for the next 5 years to maintain a living systematic review. The inclusion criteria were randomized controlled trials of any type in women within 5 years of GDM-complicated pregnancy that reported outcomes of T2DM diagnosis or measures of dysglycemia with a follow-up of at least 12 months. RESULTS: Seventeen studies met our inclusion criteria and have been included in this review. There were 3 pharmacological and 14 lifestyle interventions. Intervention was not associated with significant reduction in the primary outcome of T2DM (risk ratio, 0.78; 95% confidence interval [CI]: 0.43-1.41; p = 0.41; I2 = 79%) compared with the control group (placebo or usual care). However, meta-analysis of the four studies reporting hazard ratios suggested a reduction in diabetes incidence (hazard ratio, 0.68; 95% CI: 0.48-0.97; p = 0.03; I2 = 31%). CONCLUSION: This review provides equivocal evidence about the efficacy of interventions to reduce the risk of T2DM in women within 5 years of GDM-complicated pregnancy and highlights the need for further studies, including pharmacotherapy.
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Diabetes Mellitus Tipo 2 , Diabetes Gestacional , Humanos , Diabetes Gestacional/epidemiologia , Diabetes Gestacional/prevenção & controle , Gravidez , Feminino , Diabetes Mellitus Tipo 2/epidemiologia , Diabetes Mellitus Tipo 2/prevenção & controle , Fatores de Risco , Hipoglicemiantes/uso terapêutico , Ensaios Clínicos Controlados Aleatórios como Assunto , IncidênciaRESUMO
OBJECTIVE: To evaluate burden of postpartum diabetes and other cardiometabolic risk factors among women who test positive for gestational diabetes mellitus (GDM) by International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria, but negative by alternate criteria. METHODS: This prospective cross-sectional study was conducted from 2019 to 2022 and is a sub-study of the CHIP-F cohort (Cohort Study of Indian Women with Hyperglycemia in Pregnancy and their Families). RESULTS: Study participants (n = 826; 183 with normoglycemia and 643 with GDM using IADPSG criteria) were evaluated at a median (IQR) postpartum interval of 31 (21-45) months. Using the United Kingdom National Institute of Health and Care Excellence (UK NICE), Canadian Diabetes Association (CDA), and Diabetes in Pregnancy Study Group India (DIPSI) criteria, 251 (39.0 %), 148 (23.0 %) and 384 (59.7 %) women who tested positive for GDM by IADPSG criteria, would have tested negative. The incidence of postpartum diabetes among such women was 30.4, 34.3, and 48.2 per 1000 women-years, respectively, which was significantly higher than those testing negative by both IADPSG and UK NICE (5.0 per 1000 women-years), IADPSG and CDA (9.2/1000 women-years) and IADPSG and DIPSI criteria (5.0/1000 women-years). The burden of obesity and metabolic syndrome was also significantly higher in such women. CONCLUSIONS: We found a significant burden of postpartum diabetes and cardiometabolic risk factors among women who tested positive for GDM by IADPSG, but negative by alternate criteria. There are potential clinical implications of a "failed" diagnosis for future cardiometabolic diseases that need to be carefully examined.
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AIMS: This study aimed to develop a prediction model for identifying a woman with gestational diabetes mellitus (GDM) at high risk of type 2 diabetes (T2DM) post-birth. METHODS: Utilising data from 1299 women in the Lifestyle Intervention IN Gestational Diabetes (LIVING) study, two models were developed: one for pregnancy and another for postpartum. Key predictors included glucose test results, medical history, and biometric indicators. RESULTS: Of the initial cohort, 124 women developed T2DM within three years. The study identified seven predictors for the antenatal T2DM risk prediction model and four for the postnatal one. The models demonstrated good to excellent predictive ability, with Area under the ROC Curve (AUC) values of 0.76 (95% CI: 0.72 to 0.80) and 0.85 (95% CI: 0.81 to 0.88) for the antenatal and postnatal models, respectively. Both models underwent rigorous validation, showing minimal optimism in predictive capability. Antenatal model, considering the Youden index optimal cut-off point of 0.096, sensitivity, specificity, and accuracy were measured as 70.97%, 70.81%, and 70.82%, respectively. For the postnatal model, considering the cut-off point 0.086, sensitivity, specificity, and accuracy were measured as 81.40%, 75.60%, and 76.10%, respectively. CONCLUSIONS: These models are effective for predicting T2DM risk in women with GDM, although external validation is recommended before widespread application.
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Diabetes Mellitus Tipo 2 , Diabetes Gestacional , Estilo de Vida , Período Pós-Parto , Humanos , Feminino , Gravidez , Diabetes Mellitus Tipo 2/prevenção & controle , Adulto , Medição de Risco/métodos , Fatores de Risco , Curva ROCAssuntos
Glicemia , Diabetes Gestacional , Período Pós-Parto , Humanos , Feminino , Diabetes Gestacional/sangue , Gravidez , Glicemia/metabolismo , Glicemia/análise , Medição de Risco , Adulto , Teste de Tolerância a Glucose , Fatores de Risco Cardiometabólico , Transtornos Puerperais/sangue , Transtornos Puerperais/etiologiaRESUMO
Gestational diabetes remains the most common medical disorder in pregnancy, with short-term and long-term consequences for mothers and offspring. New insights into pathophysiology and management suggest that the current gestational diabetes treatment approach should expand from a focus on late gestational diabetes to a personalised, integrated life course approach from preconception to postpartum and beyond. Early pregnancy lifestyle intervention could prevent late gestational diabetes. Early gestational diabetes diagnosis and treatment has been shown to be beneficial, especially when identified before 14 weeks of gestation. Early gestational diabetes screening now requires strategies for integration into routine antenatal care, alongside efforts to reduce variation in gestational diabetes care, across settings that differ between, and within, countries. Following gestational diabetes, an oral glucose tolerance test should be performed 6-12 weeks postpartum to assess the glycaemic state. Subsequent regular screening for both dysglycaemia and cardiometabolic disease is recommended, which can be incorporated alongside other family health activities. Diabetes prevention programmes for women with previous gestational diabetes might be enhanced using shared decision making and precision medicine. At all stages in this life course approach, across both high-resource and low-resource settings, a more systematic process for identifying and overcoming barriers to preventative care and treatment is needed to reduce the current global burden of gestational diabetes.
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Diabetes Gestacional , Humanos , Diabetes Gestacional/diagnóstico , Diabetes Gestacional/terapia , Diabetes Gestacional/prevenção & controle , Feminino , Gravidez , Cuidado Pré-Natal/métodos , Teste de Tolerância a Glucose , Programas de RastreamentoRESUMO
Introduction: To assess the performance of growth hormone stimulation tests (GHSTs) in the evaluation of short stature. Methods: It was a single-centre retrospective study carried out in children evaluated for short stature between January 2005 to March 2020. The clonidine stimulation test (CST) and glucagon stimulation test (GST) were used to assess growth hormone (GH) reserve (GST was performed only when peak GH levels were between 5 to ≤10 ng/mL on CST). A GH level of <5 ng/mL on CST or ≤10 ng/ml on both was used to corroborate GH deficiency. Results: A total of 556 children were eligible for this study. The mean (SD) age was 12.9 (3.5) years, and 66.3% were male. The peak GH level [median (IQR)] was 5.50 ng/ml (1.90 - 7.50) on CST (at 60 minutes) and 7.45 ng/ml (2.15 - 10.77) on GST (at 120 minutes). On restricting sampling to two time points, the false positive rate was 13.6% on CST (60, 90 minutes) and 11.5% on GST (120, 150 minutes). Similarly, restricting to three time points was associated with a false positive rate of 8.5% on CST (60, 90, 120 minutes) and 3.8% on GST (90, 120, 150 minutes). Using the treating clinician-determined diagnosis of GHD as a reference standard, the optimal cut-off of peak GH on CST was 7.79 ng/ml (sensitivity: 83.8%; specificity: 89.4%). Conclusion: Restricting the GH sampling to fewer time points is associated with an increase in the false positivity rate (FPR).
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PURPOSE: To evaluate comprehensive bone health among young Indian women, including bone mass, microarchitecture, and turnover, in relation to their non-alcoholic fatty liver disease (NAFLD) status. METHODS: This cross-sectional study (May 2018-November 2019) recruited women with a history of gestational diabetes mellitus (GDM) and normoglycemia in their index pregnancy, who were at least 6 months postpartum. All participants underwent abdominal ultrasonography for determination of NAFLD status (grades 2 and 3: severe NAFLD) and transient elastography (FibroScan) for hepatic fibrosis (LSM >6 kPa). Bone mass was assessed by DXA, bone microarchitecture with trabecular bone score {TBS} (low TBS ≤ 1.310) and bone turnover with markers of bone formation (osteocalcin and P1NP), and resorption (CTX). RESULTS: Bone mineral density (BMD) at femoral neck (p = 0.026) and total hip (p = 0.007) was significantly higher among women with NAFLD (n = 170) compared to those without (n = 124). There was no significant difference in bone turnover markers between the two groups. The presence of NAFLD [adjusted OR: 1.82 (1.07, 3.11)] was associated with low TBS, with a greater strength of association among women with severe NAFLD [adjusted OR: 2.97 (1.12, 7.88)]. However, these associations were attenuated and no longer significant after additionally adjusting for BMI. Women with NAFLD and hepatic fibrosis manifested significantly higher BMD at lumbar spine, femoral neck, and total hip (p < 0.001 for all) and significantly lower bone turnover markers (osteocalcin, p = 0.009 and CTX, p = 0.029), however, the association with low TBS was not observed. CONCLUSION: Among young Indian women, NAFLD is associated with increased bone mass and impaired bone microarchitecture, and hepatic fibrosis with increased bone mass and reduced bone turnover.
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OBJECTIVES: To explore associations between type and number of abnormal glucose values on antenatal oral glucose tolerance test (OGTT) with postpartum diabetes in South Asian women diagnosed with gestational diabetes (GDM) using International Association of the Diabetes and Pregnancy Study Groups criteria. METHODS: This post-hoc evaluation of the Lifestyle Intervention IN Gestational Diabetes (LIVING) study, a randomized controlled trial, was conducted among women with GDM in the index pregnancy, across 19 centers in Bangladesh, India, and Sri Lanka. Postpartum diabetes (outcome) was defined on OGTT, using American Diabetes Association (ADA) criteria. RESULTS: We report data on 1468 women with GDM, aged 30.9 (5.0) years, and with median (interquartile range) follow-up period of 1.8 (1.4-2.4) years after childbirth following the index pregnancy. We found diabetes in 213 (14.5%) women with an incidence of 8.7 (7.6-10.0)/100 women-years. The lowest incidence rate was 3.8/100 women years, in those with an isolated fasting plasma glucose (FPG) abnormality, and highest was 19.0/100 women years in participants with three abnormal values. The adjusted hazard ratios for two and three abnormal values compared to one abnormal value were 1.73 (95% confidence interval [CI], 1.18-2.54; p = .005) and 3.56 (95% CI, 2.46-5.16; p < .001) respectively. The adjusted hazard ratio for the combined (combination of fasting and postglucose load) abnormalities was 2.61 (95% CI, 1.70-4.00; p < .001), compared to isolated abnormal FPG. CONCLUSIONS: Risk of diabetes varied significantly depending upon the type and number of abnormal values on antenatal OGTT. These data may inform future precision medicine approaches such as risk prediction models in identifying women at higher risk and may guide future targeted interventions.
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Glicemia , Diabetes Gestacional , Teste de Tolerância a Glucose , Período Pós-Parto , Humanos , Feminino , Gravidez , Diabetes Gestacional/epidemiologia , Diabetes Gestacional/diagnóstico , Diabetes Gestacional/sangue , Adulto , Glicemia/análise , Glicemia/metabolismo , Fatores de Risco , Incidência , Sri Lanka/epidemiologia , Índia/epidemiologia , Bangladesh/epidemiologia , Prognóstico , SeguimentosRESUMO
Background: Insulin resistance is often implicated as a risk factor of cell-mediated immune dysfunction in sepsis patients and results in poor clinical outcome. However, it is unclear whether early insulin resistance is contributory to T-cell dysfunction and poor clinical outcome in coronavirus disease 2019 (COVID-19) patients. Methods: Adult patients with moderate-to-severe or critically ill COVID-19 infection were included in this study. Serum samples were collected at the time of diagnosis for fasting plasma glucose, serum insulin, serum cortisol, and serum glucagon measurements, and the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) score was calculated. Results: One hundred and twenty-six subjects with a mean (standard deviation) age of 49.6 (16.3) years were recruited in this study, and 62.4% (78 of 125 patients) were male. HOMA-IR was a predictor of inhospital mortality with the area under the receiver operating characteristics curve (AUROC) (95% confidence interval [CI] of 0.61 [0.49-0.73]). With a cutoff value of 1.91, sensitivity was 75.5% and specificity was 45.2%. Higher serum insulin was associated with higher survival with AUROC (95% CI) of 0.65 (0.53-0.76), and the best cutoff was 7.15, with a sensitivity and specificity of 62.1% and 64.5%. Serum cortisol was also a predictor of inhospital mortality with an AUROC (95% CI) of 0.67 (0.56-0.77). Conclusion: An independent association between baseline serum cortisol and poor outcome in moderate-to-severe COVID-19 patients was observed. Hyperglycemia and HOMA-IR can also predict poor outcome in these patients with some accuracy.
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Early GDM is associated with adverse pregnancy outcomes, however data on other outcomes are scarce. We evaluated women with early (n = 117) and classical (n = 412) GDM for long-term postpartum (median 32 months) glycemic and cardiometabolic outcomes and found a significantly higher prevalence of diabetes in the former [22.2 % vs. 12.6 %, p = 0.010].
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Diabetes Gestacional , Período Pós-Parto , Humanos , Feminino , Diabetes Gestacional/epidemiologia , Gravidez , Adulto , Índia/epidemiologia , Glicemia/metabolismo , Glicemia/análise , Resultado da Gravidez/epidemiologia , PrevalênciaRESUMO
BACKGROUND: Conducting a study in rural pre-dominant areas will help to understand the penetration of the vaccination campaign during the COVID-19 health crisis. This study aimed to investigate vaccination coverage against COVID-19 among the rural adult population in India and to identify factors associated with vaccination coverage. METHODS: A population-based cross-sectional study was conducted among the rural population in one district of north India from January to February 2023. A semi-structured questionnaire was designed on the SurveyMonkey digital platform for interviewing the participants, which consisted of questions related to socio-demographic profile, health problems, vaccination status, types of vaccine, re-infection after vaccination, and functional difficulties. The data regarding infection with COVID-19 was collected based on self-reported positive testing for SARS-CoV 2 on RT-PCR. FINDINGS: A total of 3700 eligible individuals were enumerated for the survey, out of which 2954 (79.8%) were interviewed. The infection rate of past COVID-19 infection, based on self-report of testing positive, was 6.2% (95%CI: 5.3-7.1). Covishield vaccine was received by most participants (81.3%, 2380) followed by Covaxin (12.3%, 361) and Pfizer manufactured vaccine (0.03,1). The coverage for first, second, and booster doses of the vaccine was 98.2% (2902), 94.8% (2802), and 10.7% (315) respectively. The risk of reinfection at 12 months or more among participants with two doses of vaccine was 1.6% (46/2802, 95%CI: 1.2-2.1). The coverage among those with severe functional difficulties was lesser as compared to those with some or no difficulties. INTERPRETATION: Vaccination coverage against COVID-19 in rural Haryana, India is not dependent on factors like gender or occupation but is dependent on age and education. Although the full and partial vaccination coverage is high, the booster dose coverage is poor. In addition, the presence of severe disability was significantly associated with reduced vaccination coverage.
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COVID-19 , Cobertura Vacinal , Adulto , Humanos , COVID-19/epidemiologia , COVID-19/prevenção & controle , População Rural , Estudos Transversais , ChAdOx1 nCoV-19 , Vacinação , Índia/epidemiologia , ReinfecçãoRESUMO
INTRODUCTION: Guidelines recommend screening older people (> 60-65 years) with type 2 diabetes (T2D) for cognitive impairment, as it has implications in the management of diabetes. The Montreal Cognitive Assessment (MoCA) is a sensitive test for the detection of mild cognitive impairment (MCI) in the general population, but its validity in T2D has not been established. METHODS: We administered MoCA to patients with T2D (age ≥ 60 years) and controls (no T2D), along with a culturally validated neuropsychological battery and functional activity questionnaire. MCI was defined as performance in one or more cognitive domains ≥ 1.0 SD below the control group (on two tests representing a cognitive domain), with preserved functional activities. The discriminant validity of MoCA for the diagnosis of MCI at different cut-offs was ascertained. RESULTS: We enrolled 267 patients with T2D and 120 controls; 39% of the participants with T2D met the diagnostic criteria for MCI on detailed neuropsychological testing. At the recommended cut-off on MoCA (< 26), the sensitivity (94.2%) was high, but the specificity was quite low (29.5%). The cut-off score of < 23 showed an optimal trade-off between sensitivity (69.2%), specificity (71.8%), and diagnostic accuracy (70.8%). The cut-off of < 21 exhibited the highest diagnostic accuracy (74.9%) with an excellent specificity (91.4%), a good positive and negative predictive value (78.5% and 73.7%, respectively). CONCLUSIONS: The recommended screening cut-off point on MoCA of < 26 has a suboptimal specificity and may increase the referral burden in memory clinics. A lower cut-off of < 21 on MoCA maximizes the diagnostic accuracy. Interactive Visual Abstract available for this article.
Type 2 diabetes (T2D) is a risk factor for cognitive dysfunction which potentially impacts diabetes self-management skills. Guidelines recommend screening older adults with diabetes for early detection of cognitive impairment. For screening cognitive impairment in busy endocrine clinics, we need a test that is easy and rapid to administer, sensitive enough to pick the cognitive deficits of T2D and at the same time gives less false-positive outcomes. The Montreal Cognitive Assessment (MoCA) scale is a widely available cognitive screening tool, but there are no studies evaluating its discriminant properties in people with diabetes. We evaluated the performance metrics of MoCA in this population. We found mild cognitive impairment in four out of ten participants with T2D at or above 60 years of age. At the recommended cut-off on MoCA (< 26), the sensitivity was high, but the specificity quite low. We found better diagnostic accuracy at lower cut-offs (20/21), with high specificity but a lower sensitivity. At this cut-off, approximately one out of five people screened using MoCA would require detailed neuropsychological testing, and four out of five who undergo detailed evaluation would have true cognitive impairment.
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We aimed to evaluate the utility of simple, cost-effective, and non-invasive strategies alternative to BIPSS and peripheral CRH stimulation in differential diagnosis of ACTH-dependent CS. First, we performed ROC analysis to evaluate the performance of various tests for differential diagnosis of ACTH-dependent CS in our cohort (CD, n=76 and EAS, n=23) and derived their optimal cut-offs. Subsequently, combining various demographic (gender), clinical (hypokalemia), biochemical (plasma ACTH, HDDST, peripheral CRH stimulation) and imaging (MRI pituitary) parameters, we derived non-invasive models with 100% PPV for CD. Patients with pituitary macroadenoma (n=14) were excluded from the analysis involving non-invasive models. Relative percent ACTH (AUC: 0.933) and cortisol (AUC: 0.975) increase on peripheral CRH stimulation demonstrated excellent accuracy in discriminating CD from EAS. Best cut-offs for CD were plasma ACTH<97.3 pg/ml, HDDST≥57% cortisol suppression, CRH stimulation≥77% ACTH increase and≥11% cortisol increase. We derived six models that provided 100% PPV for CD and precluded the need for BIPPS in 35/85 (41.2%) patients with ACTH-dependent CS and no macroadenoma (in whom BIPSS would have otherwise been recommended). The first three models included basic parameters and avoided both peripheral CRH stimulation and BIPSS in 19 (22.4%) patients, while the next three models included peripheral CRH stimulation and avoided BIPSS in another 16 (18.8%) patients. Using simple and non-invasive alternative strategies, BIPSS can be avoided in 41% and peripheral CRH stimulation in 22% of patients with ACTH-dependent CS and no macroadenoma; such patients can be directly referred for a pituitary surgery.
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Background and Objectives: This prospective longitudinal study aims to evaluate and compare the incidence of prediabetes/diabetes among women stratified at the baseline postpartum visit according to the prior GDM and NAFLD status. Methods: Of the 309 women with baseline postpartum assessment at a median of 16 months following the index delivery, 200 (64.7%) [GDM: 137 (68.5%), normoglycaemia: 63 (31.5%)] were available for the follow-up analysis (performed at median of 54 months following the index delivery) and were participants for this study. We obtained relevant demographic, medical and obstetric details and performed a 75 g OGTT with glucose estimation at 0 and 120 min. NAFLD status was defined by ultrasonography at the baseline visit. Participants were divided into four groups: no NAFLD and no prior GDM (group 1), NAFLD but no prior GDM (group 2), prior GDM but no NAFLD (group 3), and NAFLD and prior GDM (group 4). Results: The mean age of study participants (n = 200) was 32.2 ± 5.1 years, and the mean interval between the two visits was 34.8 ± 5.5 months. A total of 74 (37%) women had progression to prediabetes/diabetes [incidence rate of 12.8/100 woman-years]. The incidence rates (per 100 woman-years) were 8.6, 8.9, 13.4 and 15.3 in groups 1, 2, 3 and 4, respectively. The adjusted hazard ratio for incident (new-onset) prediabetes/diabetes in group 4 (reference: group 1) was 1.99 (95% CI 0.80, 4.96, P = 0.140). Among women with baseline NAFLD (irrespective of GDM status), the risk of incident prediabetes/diabetes increased with an increase in the duration of follow-up (3.03-fold higher per year of follow-up, P = 0.029) and was significantly higher in women who were not employed (6.43, 95% CI 1.74, 23.7, P = 0.005) and in women with GDM requiring insulin/metformin during pregnancy (4.46, 95% CI 1.27, 15.64, P = 0.019). Conclusion: NAFLD and GDM increased the risk for glycaemic deterioration in young Indian women. Future studies should focus on evaluating the effectiveness of lifestyle and behavioural interventions in such high-risk women.
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AIM: To study, the incidence and risk factors for postpartum diabetes (DM), in women with gestational diabetes mellitus (GDM) from South Asia (Bangladesh, India and Sri Lanka), followed for nearly two years after delivery. METHODS: Women with prior GDM diagnosed using IADPSG criteria were invited at 19 centres across Bangladesh, India and Sri Lanka for an oral glucose tolerance test (OGTT) following childbirth, and were enrolled in a randomized controlled trial. The glycaemic category (outcome) was defined from an OGTT based on American Diabetes Association criteria. RESULTS: Participants (n = 1808) recruited had a mean ± SD age of 31.0 ± 5.0 years. Incident DM was identified, between childbirth and the last follow-up, in 310 (17.1 %) women [incidence 10.75/100 person years], with a median follow-up duration of 1.82 years after childbirth. Higher age, lower education status, higher prior pregnancy count, prior history of GDM, family history of DM, and postpartum overweight/obese status were significantly associated with incident DM. Women in Bangladesh had a higher cumulative incidence of DM [16.49/100 person years] than in Sri Lanka [12.74/100 person years] and India [7.21/100 person years]. CONCLUSIONS: A high incidence of DM was found in women with prior GDM in South Asia, with significant variation between countries. Women from Bangladesh had a significantly higher pregnancy count, family history of DM and overweight/obese status, despite having significantly lower age, which could be responsible for their higher rates of DM. Registration of this study: The study was registered with the Clinical Trials Registry of India (CTRI/2017/06/008744), Sri Lanka Clinical Trials Registry (SLCTR/2017/001), and ClinicalTrials.gov (NCT03305939).
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Diabetes Gestacional , Gravidez , Feminino , Humanos , Adulto , Masculino , Diabetes Gestacional/epidemiologia , Diabetes Gestacional/diagnóstico , Incidência , Sri Lanka/epidemiologia , Bangladesh/epidemiologia , Ásia Meridional , Sobrepeso , Fatores de Risco , Período Pós-Parto , Índia/epidemiologia , ObesidadeRESUMO
Background: This project aimed to assess the impact of yoga on stress, metabolic parameters and cognition (attention & concentration) in adolescents, aged 13-15 years from public and private schools in two cities (Chennai and New Delhi) in India. Methods: The study recruited 2000 adolescents from 24 schools in a cluster randomized controlled trial design. The yoga group participants underwent 17 yoga sessions, which included: pranayama, basic asanas, meditation and relaxation exercises. Yoga sessions, were held in the school premises once a week. A total of five awareness talks on healthy lifestyle were delivered once a month to the education group. ADOlescence Stress Scale (ADOSS), salivary cortisol, metabolic and clinical parameters and Letter Cancellation Test (LCT) score were measured at baseline and post-intervention (5-6 months). Results: The yoga group showed statistically significant differences in the mean ADOSS score, metabolic parameters, salivary cortisol, and LCT scores compared to the education group. In the intention- to- treat analysis, a significant reduction [5.11, 95% CI (4.78, 5.36), p = 0.001] in ADOSS score was seen in the yoga group compared to education. Conclusion: Implementation of a 17-week standardized yoga program at the school level significantly decreased stress, improved attention and concentration, metabolic and clinical parameters in Indian adolescents. Trial registration: Clinical Trials Registry, India (CTRI/2017/08/009203).
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PURPOSE: We aimed to evaluate the prevalence of postpartum diabetes among women with a history of overt diabetes in pregnancy (ODiP) and compare with women having a history of gestational diabetes mellitus (GDM) and normoglycemia in pregnancy. METHODS: We have an established longitudinal cohort of postpartum women with a history of hyperglycemia (preexisting diabetes [PED] [n = 101], ODiP [n = 92], GDM [n = 643]), and normoglycemia (n = 183) in pregnancy. For this study, we excluded women with PED and invited other eligible women in a fasting state for clinical and biochemical evaluation. RESULTS: We evaluated 918 women with a mean (SD) age of 33.6 (5.0) years and at a median (interquartile range) postpartum interval of 31 (20-45) months. Diabetes was diagnosed in 65 (70.7%) women in ODiP compared to 99 (15.4%) in GDM (p < .001) and 4 (2.2%) in normoglycemia group (p < .001). In the ODiP group, the prevalence of diabetes was 47.4% among women tested in the first year postpartum, increasing to 86.8% among women tested at >3 years postpartum. Diabetes was more common when ODiP was diagnosed in the first (27/29, 93.1%) compared to the second trimester of pregnancy (35/57, 61.4%). The adjusted odds ratio for diabetes in ODiP was 14.82 (95% confidence interval, 8.49-25.87; p < .001; reference category: GDM). CONCLUSIONS: The prevalence of postpartum diabetes was significantly higher in women with ODiP compared to GDM. Nearly 50% of women with ODiP did not develop diabetes in the first year of follow-up, especially when ODiP was diagnosed after the first trimester of pregnancy and on the basis of a 2-h oral glucose tolerance test value. Such women are amenable to prevention strategies.
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Despite consensus on universal screening of women at 24-28 weeks for a diagnosis of gestational diabetes, controversy remains on an appropriate criterion. The study is aimed to find out the sensitivity and specificity of Diabetes in Pregnancy Study Group India (DIPSI) criteria compared to the International Association of the Diabetes and Pregnancy Study Groups (IADPSG) criteria for diagnosis of Gestational Diabetes Mellitus (GDM). A meta-analysis of studies comparing DIPSI as an index test to IADPSG as the reference test for diagnosing GDM was carried out. A total of 8 comparative studies were included. Pooled analysis showed a sensitivity of 0.44 [0.29 to 0.60] and specificity of 0.97 [0.94 to 0.98], which means the index test DIPSI will correctly identify only 44% of the subjects who have the disease (GDM positive) but it will also fail to identify 56% of the GDM positive subjects. Derek's funnel graph revealed fewerchances of publication bias. Though convenient, DIPSI criteria was not found to be sensitive enough for a diagnosis of GDM and missed an opportunity to improve pregnancy and subsequent long-term outcomes for a substantial number of women. Further studies should focus on comparing pregnancy outcomes for the two criteria, so that decision to adopt any criteria is more evidence-based.
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Diabetes Gestacional , Gravidez em Diabéticas , Gravidez , Feminino , Humanos , Diabetes Gestacional/diagnóstico , Diabetes Gestacional/epidemiologia , Teste de Tolerância a Glucose , Resultado da Gravidez , Índia/epidemiologiaRESUMO
BACKGROUND AND AIM: T1DM has a significant effect on brain structure and function. Age of onset of diabetes may be a critical factor mediating this impairment. We evaluated young adults with T1DM, stratified by the age of onset, for structural brain changes, hypothesizing that there may be a spectrum of white matter damage in these participants, compared to controls. METHODS: We recruited adult patients (20-50 years of age at the time of study enrolment) with onset of T1DM before 18 years of age and at least ten years of schooling, along with controls having normoglycaemia. We compared the Diffusion Tensor Imaging parameters between patients and controls and evaluated their correlations with cognitive z scores, and glycemic measures. RESULTS: We evaluated 93 individuals, 69 [age: 24.1 (±4.5) years, gender: 47.8% men, education: 14.7 ± 1.6 years] with T1DM and 24 [age: 27.8 (±5.4) years, gender: 58.3% men, education: 14.6 ± 1.9 years] without T1DM (controls). We did not find any significant correlation of fractional anisotropy (FA) with age at T1D diagnosis, duration of diabetes, current glycemic status, or domain-wise cognitive z scores. The FA was lower (but not statistically significant) in participants with T1DM when evaluated for the whole brain, individual lobes, hippocampi and amygdala. CONCLUSION: Participants with T1DM do not show a significant difference in the brain white matter integrity when evaluated in a cohort of young adults with relatively few microvascular complications compared to controls.