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Objective: We sought to explore whether maternal pre-pregnancy obesity is an independent risk factor for offspring respiratory morbidity during childhood., Methods: A population-based retrospective cohort analysis comparing childhood respiratory morbidity incidence in offspring to mothers with pre-pregnancy obesity (BMI ≥ 30 kg/m 2 ) and those who had lower BMI was conducted. Respiratory diagnoses were pre-defined based on ICD-9 codes. The study population comprises of all deliveries that took place at the Soroka University Medical Center (SUMC), the sole tertiary hospital in the Negev (Southern Israel), between the years 1991-2014. A Kaplan-Meier survival curve was used for cumulative respiratory morbidity incidences over time and a Cox proportional hazards model was constructed to control for confounders., Results: During the study period, 242,342 infants met the inclusion criteria; out of which 3290 were born to mothers with a diagnosis of pre-pregnancy obesity. Offspring to mothers with pre-pregnancy obesity had a significant higher risk for obstructive sleep apnea (OR 1.43, 95% CI 1.002-2.046) as well as a higher total risk for hospitalizations due to childhood respiratory morbidity (OR 1.21, 95% CI 1.041-1.398). The cumulative respiratory morbidity incidence over time was significantly higher in the maternal pre-pregnancy obesity group (p = 0.044). Controlling for maternal age, gestational diabetes mellitus, hypertensive disorders and gestational age, pre-pregnancy obesity remained an independent risk factor for offspring respiratory morbidity (adjusted HR = 1.175, 95% CI 1.018-1.357)., Conclusion: Maternal pre-pregnancy obesity may create an environment leading to an increased risk for long-term offspring respiratory morbidity, and specifically obstructive sleep apnea., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

The hyperglycemic intrauterine environment has been shown to have long-term effects on offspring. We aimed to evaluate its effect on the long-term risk of childhood malignancies. This was a population-based cohort analysis comparing the risk for long-term childhood malignancies (≤18 years) in children born to mothers with and without gestational diabetes mellitus (GDM). Childhood malignancies were diagnosed by physicians and recorded in hospital medical files according to predefined codes based on ICD-9. Deliveries occurred between the years 1991 and 2014 in a tertiary medical center. Children to mothers with pre-GDM, with fetal congenital malformations, and with benign tumors were excluded from the analysis. Kaplan-Meier survival curve was constructed to compare cumulative oncological morbidity in both groups over time. Cox proportional hazards model was used to control for confounders. During the study period, 236 893 infants met the inclusion criteria; 10 294 (4.3%) of whom were born to mothers with GDM. Hospitalizations involving malignancy diagnoses were comparable between the groups (0.11 vs. 0.12%; P=0.424), as were the cumulative incidences of total oncological morbidity using a Kaplan-Meier survival curve (log-rank P=0.820). In the Cox regression model, maternal GDM was not associated with increased childhood oncological hospitalizations while controlling for maternal age, gestational age, and hypertensive disorders (adjusted hazard ratio: 1.02, 95% confidence interval: 0.58-1.82, P=0.932). Exposure to intrauterine hyperglycemic environment due to maternal GDM does not increase the risk for childhood malignancies.

Purpose: To investigate whether patients with a history of gestational diabetes mellitus (GDM) have an increased risk for long-term ophthalmic morbidity., Methods: Design a population-based study compared the incidence of long-term maternal ophthalmic morbidity in a cohort of women with and without a history of GDM. Setting Soroka University Medical Center., Participants: All singleton pregnancies of women who delivered between 1988 and 2013. Main outcome measure(s) Diagnosis of ophthalmic morbidity. Analyses A Kaplan-Meier survival curve was used to estimate cumulative incidence of ophthalmic morbidity. Cox proportional hazards models were used to estimate the adjusted hazard ratios (HR) for ophthalmic morbidity., Results: During the study period, 104,751 deliveries met the inclusion criteria; 9.4% (n = 9888) of which occurred in patients with a diagnosis of GDM during at least one of their pregnancies. Patients with GDM had a significantly higher incidence of ophthalmic morbidity such as glaucoma, diabetic retinopathy, and retinal detachment compared with controls (0.1 vs. 0.02%, p < 0.001; 0.2 vs. 0.04%, p < 0.001; 0.2 vs. 0.1%, p < 0.001, respectively). Patients with concurrent GDM and preeclampsia had a significantly higher incidence of total ophthalmic complications compared to patients with GDM only (1 vs. 0.6%, respectively, p < 0.001). Using Kaplan-Meier survival curve, patients with a previous diagnosis of GDM had significantly higher cumulative incidence of ophthalmic morbidity (p < 0.001, log-rank test). In the Cox proportional hazards model, a history of GDM remained independently associated with ophthalmic morbidity (adjusted HR 2.0; 95% CI 1.5-2.8; p < 0.001)., Conclusions: GDM is an independent risk factor for long-term maternal ophthalmic morbidity.

Objective: To investigate whether patients with a history of gestational diabetes mellitus (GDM) have an increased future risk for female malignancies., Study Design: A population-based study compared the incidence of long-term female malignancies (ovary, uterine, breast, and uterine cervix) in a cohort of women with and without a diagnosis of GDM. Deliveries occurred between the years 1988-2013, with a mean follow-up duration of 12 years. Women with known malignancies prior to the index pregnancy were excluded. Kaplan-Meier survival curve was used to estimate cumulative incidence of malignancies. Cox proportional hazards models were used to estimate the adjusted hazard ratios (HR) for female malignancy., Results: During the study period, 1,04,715 deliveries met the inclusion criteria; 9.4% (n = 9893) occurred in patients with a history of GDM in at least one of their pregnancies. During the follow-up period, patients with GDM had a significantly increased risk of being diagnosed with female malignancies, including ovarian, uterine, and breast cancer. Using a Kaplan-Meier survival curve, patients with a previous diagnosis of GDM had a significantly higher cumulative incidence of female malignancies. Using a Cox proportional hazards model, adjusted for confounders, such as parity, maternal age, and fertility treatments, a history of GDM remained independently associated with female malignancies (adjusted HR, 1.3; 95% CI 1.2-1.6; P = 0.001)., Conclusion: Patients with a history of GDM have an increased risk for future breast, ovarian, and uterine malignancies.

Context: Gestational diabetes mellitus (GDM) was found to be an independent risk factor for recurrent long-term type 2 diabetes mellitus, cardiovascular morbidity, and vascular endothelial dysfunction. However, data on the link between GDM and future risk for long-term maternal renal disease are limited., Objective: The purpose of this study was to investigate whether GDM poses a risk for subsequent long-term maternal renal morbidity., Design: A population-based noninterventional study compared the incidence of future renal morbidity in a cohort of women with and without previous GDM. Deliveries occurred during a 25-year period, with a mean follow-up duration of 11.2 years., Setting: The study was conducted at the Soroka University Medical Center., Participants: The study population was composed of all singleton pregnancies in women who delivered between January 1988 and December 2013., Main Outcome Measure: The main outcome was diagnosis of renal morbidities., Results: Of 97,968 women who met the inclusion criteria, 9542 (9.7%) had at least 1 previous pregnancy with GDM. Using a Kaplan-Meier survival curve, we show that women with GDM had higher rates of total renal morbidity (0.1% vs 0.2%, for no GDM and with GDM, respectively; odds ratio, 2.3, 95% confidence interval, 1.4-3.7; P < .001). In addition, we found a significant dose-response association (using the χ(2) test for trends) between the number of pregnancies with GDM and future risk for renal morbidity (0.1%, 0.2%, and 0.4% for no GDM, 1 episode of GDM, and 2 episodes of GDM, respectively; P < .001). In a Cox proportional hazards model, adjusted for confounders, GDM was independently associated with future renal morbidity., Conclusion: GDM is a significant risk factor for future maternal renal morbidity. The risk is more substantial for patients with recurrent episodes of GDM.

Objective: To investigate whether a diagnosis of gestational diabetes mellitus (GDM) is a risk factor for subsequent long-term cardiovascular morbidity., Design: A population-based study., Setting: Soroka University Medical Center, a tertiary centre in the southern region of Israel., Patients: A cohort of women with and without a diagnosis of GDM who delivered during the years 1988-1999 with a follow-up period until 2010., Interventions: A comparison of the incidence of cardiovascular morbidity., Results: Of 47 909 deliveries that met the inclusion criteria, 4928 (10.3%) occurred in patients who were diagnosed with GDM. During a follow-up period of more than 10 years, compared with women who gave birth at the same time period, after adjustment for age and ethnicity, patients with GDM had higher rates of cardiovascular morbidity including non-invasive cardiac diagnostic procedures (OR=1.8; 95% CI 1.4 to 2.2), simple cardiovascular events (OR=2.7; 95% CI 2.4 to 3.1) and total cardiovascular hospitalisations (OR=2.3; 95% CI 2.0 to 2.5). In a Cox proportional hazards model, adjusted for comorbidities such as pre-eclampsia and obesity, GDM was independently associated with cardiovascular hospitalisations (adjusted HR 2.6, 95% CI 2.3 to 3)., Conclusions: GDM is an independent risk factor for long-term cardiovascular morbidity in a follow-up period of more than a decade.