scholarly journals Does gestational diabetes mellitus affect the hearing of the baby?

2021 ◽  
Vol 8 (1) ◽  
pp. 74
Author(s):  
Gangadhara K. S. ◽  
Amrutha V. Bhat ◽  
Nagaraj M.
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Hearing Impairment ◽  
Otoacoustic Emissions ◽  
Hearing Screening ◽  
The Third ◽  
History Of ◽  
Evoked Response Audiometry

<p><strong>Background: </strong>Hearing screening results of babies born to mothers with and without gestational diabetes mellitus done within 24-48 hours of delivery using otoacoustic emissions was compared. Babies who failed the screening were recalled for further testing.<strong></strong></p><p><strong>Methods: </strong>A prospective institutional based study was conducted between December 2018 and May 2020. All the babies were screened for hearing impairment using handheld OAE apparatus within 24-48 hours of delivery. History of gestational diabetes mellitus in the mother was enquired. Any baby with a “refer” result in the OAE study was recalled for a repeat OAE testing after a month. This was repeated two more times if the baby failed the test every time. In case of failing the test for the third time, the baby was sent for brainstem evoked response audiometry for confirmation of hearing loss.<strong></strong></p><p><strong>Results: </strong>Screening was done for 14226 babies. Among them, 44 babies were born to mothers with gestational diabetes mellitus. The hearing screening results did not show a significant association between gestational diabetes mellitus and hearing impairment in the baby.<strong></strong></p><p><strong>Conclusions: </strong>Gestational diabetes is considered as one of the risk factors for deafness in the baby. This study could not establish such a relationship.<strong></strong></p>

scholarly journals Study of Risk Factors for Conegnital Heart Defect in a Tertiary Level Hospital

2018 ◽  
Vol 27 (1) ◽  
pp. 51-56
Author(s):  
Ferdousi Hossain Poly ◽  
Syeda Afroza ◽  
Hasanur Rahman ◽  
Md Imran Hassan
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Maternal Age ◽  
Congenital Heart ◽  
Heart Defects ◽  
Medical College ◽  
History Of ◽  
The Difference

A congenital heart defect is a heart problem which is present at birth, caused by improper development of the heart during fetal development. In majority of cases there is no known reason for the heart to develop improperly. Some type of congenital heart defects are related to chromosomal abnormality(5-6%), some are to single gene defect(3-5%) or environmental factors(2%). In 85-90% of cases there is no identifiable cause and are generally considered to be caused by multifactorial inheritance. There are some maternal factors which have some role in cardiovascular malformations. These include high maternal age(above 30 years), maternal obesity, consanguinity among the parents, fever during pregnancy, gestational diabetes mellitus, smoking, alcohol consumption, ingestion of any teratogenic drug including homeopathy and herbal medicine. Objective of the study: To evaluate the risk factors associated with congenital heart disease. Methodology: A case control study was conducted at paediatric department of Sir Salimullah Medical College & Mitford Hospital following approval of the protocol from 1st January 2013 to 30th June 2014. Children fulfilling the inclusion criteria-(0-5 year old children of both sexes admitted in paediatric units of Mitford Hospital with any type of congenital heart disease confirmed by echocardiography) were considered as cases. A similar number of age and sex matched children admitted in Mitford Hospital without any cardiac defect were considered as controls. Data were collected by questionnaire. Results: The results show that majority of the cases are male. Maternal age (27.09 ± 4.63) and BMI (24.10 ± 2.28) both are significantly higher in cases than those of controls. Among the cases 31.8% mothers had consanguineous marriage (p=0.001) and 27.1% mothers had history of fever during pregnancy whereas it was present in 9.3% mothers of controls, the difference is significant statistically (p=0.001). Among the cases 34.6% mothers had history of gestational diabetes mellitus and only 18.9% controls had so and the difference is significant statistically (p=0.014). Conclusion: Relatively old age and more weight during pregnancy, consanguinity between parents, fever during pregnancy, history of gestational diabetes mellitus are the main risk factors of congenital heart defects in children J Dhaka Medical College, Vol. 27, No.1, April, 2018, Page 51-56

scholarly journals Risk factor for gestational diabetes mellitus and impact of gestational diabetes mellitus on maternal and fetal health during the antenatal period

2021 ◽  
Author(s):  
Uma Jain ◽  
Kusumlata Singhal ◽  
Shikha Jain ◽  
Deepali Jain
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Congenital Malformation ◽  
Fetal Health ◽  
Antenatal Period ◽  
Study Results ◽  
History Of ◽  
The Impact

Background: Gestational diabetes mellitus (GDM) is defined as any degree of dysglycaemia that occurs for the first time or is first detected during pregnancy. The adverse effects of GDM on pregnant women are pre-eclampsia, PIH, PPH, polyhydramanios, PROM, meanwhile, there would be an increase in dystocia, birth injury, and cesarean sectionMethods: This retrospective study was conducted in a Gynecology clinic in District Shivpuri to find out the various risk factors for GDM and to evaluate the impact of GDM on maternal and fetal health during the antenatal period. 84 patients who were diagnosed with GDM were included in the study. Results: Among risk factors; BMI >25 kg/m2 before pregnancy was found in 15.47% of the case, family history of diabetes mellitus 8.33%, Previous history of macrosomia 17.85%, Poor reproductive history 17.85%, baby with congenital malformation 8.33%, H/o unexplained IUFD 11.90%. H/o polyhydramnios 15.47%. History of PCOS 13.09% and preeclampsia was found in 17.85% of cases. In antenatal complications; miscarriages was found in 15.47%. polyhydramnios in 17.85%. Oligohydramnios in 8.33%, preterm labor in 11.90%, PROM in 9.52%, pre-eclampsia in 17.85%, sudden IUFD in 8.33% and congenital malformation was found in 4.76% of cases. On USG; IUGR was found in 7.14% of cases. Large for date fetus in 16.66% of cases and the normal growth was found in 76.19% of cases.Conclusions- In conclusion appropriate and timely diagnosis and treatment of GDM will result in decreased maternal and neonatal adverse outcomes comparable to general population rates, therefore, early diagnosis is important.

scholarly journals Burden, risk factors and maternal and offspring outcomes of gestational diabetes mellitus (GDM) in sub-Saharan Africa (SSA): a systematic review and meta-analysis

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Barnabas Kahiira Natamba ◽  
Arthur Araali Namara ◽  
Moffat Joha Nyirenda
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Meta Analysis ◽  
Previous History ◽  
Sub Saharan Africa ◽  
African Women ◽  
History Of ◽  
Sub Saharan

Abstract Background The burden, determinants and outcomes of gestational diabetes mellitus (GDM) in sub-Saharan Africa are not known. We summarized existing evidence on the prevalence, risk factors and complications of GDM in the region. Methods PubMed was searched from inception to January 31st 2019. Studies were included if carried out in any of the sub-Saharan Africa countries and were available as abstracts or full texts. Interventional studies and those only including qualitative data were excluded. We employed random effects modelling to estimate the pooled GDM prevalence and risk ratios (RRs) for risk factors and outcomes of GDM and their 95%CI. Results 283 papers were identified in the initial search, 33 of which met the inclusion criteria. Data on GDM burden suggest a pooled prevalence of 9% (95%CI, 7–12%). Family history of type 2 diabetes and previous history of GDM, macrosomia, stillbirth and abortion were important risk factors of GDM. In addition, being overweight or obese, over 25 years of age or hypertensive increased the risk of GDM. In terms of complications, GDM more than doubles the risk macrosomia (RR; 95%CI: 2.2; 1.1–4.4). Conclusions There is a high burden of gestational diabetes mellitus in sub-Saharan Africa, but more studies are needed to document locally important risk factors as well as maternal and offspring outcomes. Interventions to reduce obesity among older African women might lead to reduced risk of GDM in sub-Saharan Africa.

scholarly journals The Role of Gestational Diabetes Mellitus and Pelvic Floor 3D-Ultrasound Markers at the Second and Third Trimester of Pregnancy Predicting 6-18 Months Postpartum Urinary Incontinence: Preliminary Results From a Prospective Cohort

2021 ◽  
Author(s):  
Carlos Izaias Sartorão Filho ◽  
Fabiane Affonso Pinheiro ◽  
Luiz Takano ◽  
Raghavendra Hallur Lakshmana Shetty ◽  
Sthefanie K. Nunes ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pelvic Floor ◽  
Univariate Analysis ◽  
3D Ultrasound ◽  
Third Trimester ◽  
The Third ◽  
Hiatal Area

Abstract Background Gestational Diabetes Mellitus and long-term urinary incontinence (UI) have a severe impact on women's health. New methods to identify pregnant predictor risk factors of UI are needed. Our study investigated clinical and pelvic floor 3D-ultrasound markers in pregnant women at the second and third trimesters to predict 6-18 months postpartum UI. Methods This ongoing prospective cohort study included one hundred five nulliparous pregnant women with universal GDM screening and diagnosis, treated with nutritional and healthy lifestyle intervention. Pelvic floor 3DUltrasound was performed at the second and third trimesters of gestation. Clinical and pelvic floor 3DUltrasound biometry were collected. The ICIQ-SF and ISI questionnaires for UI were applied in the third trimester and 6-18 months postpartum. We performed univariate analysis (P<.20) to extract risk factors variables and multivariate logistic regression analysis (P<.05) to obtain the adjusted relative ratio for 6-18 months postpartum UI. Results In a preliminary result, a total of 93 participants concluded the follow-up. Using the variables obtained by the univariate analysis and after the adjustments for potential confounders, logistic regression analysis revealed that Gestational Diabetes Mellitus exposure was a strong and independent risk factor for 6-18 months postpartum UI (Adjusted RR 8.088; 95%CI 1.17-55.87; P:.034). In addition, higher hiatal area distension at rest from the second to the third trimester was negatively correlated with 6-18 months postpartum UI (Adjusted RR 0.966; 95%CI 0.93-0.99; P: .023). Conclusion Gestational Diabetes Mellitus was positively correlated with 6-18 months postpartum UI, and a higher hiatal area distension was negatively correlated with 6-18 months postpartum UI development. Trial registration: Regulatory approval was obtained from the Institutional Review Board (number 1.716.895) by “Botucatu Medical School of São Paulo State University (Unesp)” Ethics Committee.

scholarly journals Screening of Hemoglobin A1c in Gestational Diabetes among women attending metabolic clinic at a tertiary care hospital in Uttar Pradesh

2019 ◽  
Vol 10 (2) ◽  
pp. 26-30
Author(s):  
Vivek Sinha ◽  
Poonam Kachhawa
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Risk Factor ◽  
Family History ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
P Value ◽  
Close Monitoring ◽  
History Of

Background: Gestational diabetes mellitus (GDM) is a common medical condition that complicates pregnancies..Gestational diabetes mellitus (GDM) is a diabetic metabolic disorder that occurs in 4% of all pregnant women and 14% of ethnic groups with more prevalence of type II diabetes. It can be defined as increased or abnormal insulin resistance, decreased insulin sensitivity or glucose intolerance with first diagnosis during pregnancy. Aims and Objectives: The purpose of this study was to evaluate the diagnostic screening value of the HbA1c, prevalence of GDM and associated risk factors. Materials and Methods: The study was conducted at the metabolic clinic; in the department of Biochemistry located at SIMS, Hapur. A semi-structured pretested questionnaire was used for data collection. Following the DIPSI guidelines, patients with plasma glucose values >140 mg/dl were labeled as GDM. Statistical methods used were OR (CI95%), percentage, Chi square. Results: Out of 500, 6.72% had GDM. Among all GDM patients, 64.71% had age more than 30 years, 70.59% had BMI more than 25, 41.18% had gravida more than 3 and p- value was significant with regard to age and BMI. P value was found to be significant for risk factors namely positive family history of Diabetes Mellitus, history of big baby and presence of more than one risk factor. Conclusion: GDM is associated with high BMI, early pregnancy loss, family history of DM and previous history of big baby and there could be more than one risk factor. Thus universal screening followed by close monitoring of the pregnant women for early detection of GDM may help improving maternal and fetal outcomes.

scholarly journals Screening for Hearing Impairment in High-Risk Neonates in a Tertiary Care Centre in Central Kerala

2020 ◽  
Vol 7 (49) ◽  
pp. 2959-2963
Author(s):  
Maina J ◽  
Rati Santhakumar ◽  
Manoj V.C. ◽  
Mridula Vellore
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Hearing Impairment ◽  
Otoacoustic Emissions ◽  
Tertiary Care ◽  
Care Centre ◽  
Tertiary Care Centre ◽  
Auditory Rehabilitation ◽  
History Of ◽  
Evoked Response Audiometry

BACKGROUND Hearing loss is a chronic condition, and many cases can be detected in the neonatal period. Recognizing it early is of crucial importance as early auditory rehabilitation would help in child’s comprehensive development. We wanted to assess the prevalence of hearing impairment among high risk newborns admitted to inborn unit of tertiary care centre in Central Kerala and screen for the associated risk factors in these newborns. METHODS Thousand consecutive inborn neonates from Neonatal ICU, Department of Paediatrics, tertiary care centre in Thrissur, Kerala, detected as high risk by Joint Committee on Infant Hearing (JCIH) criteria were enrolled for the study from December 2011 to November 2012 after the approval by Institute’s Ethics Review Board. Risk factor assessment was done before enrolment. A qualified audiologist conducted the test on babies in soundproof chamber. DPOAEs (Distortion Product Otoacoustic Emissions) were used for initial testing after checking ears for debris. Those who failed in the first test were asked to come for a retest after 2 weeks. Those who failed in the retest were asked to report for Brainstem Evoked Response Audiometry (BERA). Those who were diagnosed as having hearing impairment were advised auditory rehabilitation as well as auditory verbal therapy. RESULTS Of the 1000 eligible neonates born in our hospital during the study period (December 2011 to November 2012) 69 were lost to follow up. Among the remaining 931 babies the frequency of hearing impairment was 0.8 %. Among the 931 neonates, 130 had absent response with the first OAE test contributing to 13.9 %. Twenty-one neonates had absent response to second OAE test out of 130 contributing to 16.1 %. The failure rate for second test is 2.2 % of the total population of 931 newborns. Eight of the 21 neonates who were subjected to BERA had severe hearing loss. The prevalence of hearing impairment was 8 per 1000. CONCLUSIONS The prevalence (percentage) of hearing impairment by two staged screening protocol is 0.8 %. Risk factors which were present in these babies were prematurity, low birth weight, low Apgar score, history of exanthematous fever in mother, neonatal jaundice, ototoxic medication history, craniofacial anomalies, and family history of deafness, meningitis and mechanical ventilation. KEYWORDS Otoacoustic Emissions, Brain Stem Evoked Response Audiometry, Risk Factors, Hearing Impairment, Neonates

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