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1.
Am J Obstet Gynecol MFM ; 5(7): 100969, 2023 Jul.
Article in English | MEDLINE | ID: covidwho-2305698

ABSTRACT

OBJECTIVE: This study aimed to assess whether continuous glucose monitor use in type 2 diabetes mellitus in pregnancy is associated with improved perinatal outcomes. DATA SOURCES: We searched Ovid MEDLINE, Scopus, ClinicalTrials.gov, and Cochrane library from inception through May 9, 2022. STUDY ELIGIBILITY CRITERIA: We included all studies that compared continuous glucose monitor use with fingerstick glucose monitoring in women with type 2 diabetes mellitus. METHODS: The initial search yielded 2463 unique citations that were screened in Covidence by 2 independent reviewers. Study types included randomized controlled trials, cohort studies, and cross-sectional studies. Our outcomes of interest were macrosomia or large-for-gestational-age infants, hemoglobin A1c, cesarean delivery, hypertensive disorders of pregnancy including preeclampsia, gestational age at delivery, and neonatal hypoglycemia. RESULTS: Three randomized controlled trials met the inclusion criteria. We performed random-effects meta-analyses of estimates from 2 studies without risk of significant bias and reported summary adjusted odds ratios and 95% confidence intervals. Meta-analysis of 56 women with continuous glucose monitor use and 53 control women without continuous glucose monitor use showed that there was no difference in the incidence of large-for-gestational-age infants between continuous glucose monitor users and standard-of-care controls (odds ratio, 0.78; 95% confidence interval, 0.34-1.78) with an I2 of 0%. In addition, there was no difference in the development of preeclampsia between continuous glucose monitor users and standard-of-care controls (odds ratio, 1.63; 95% confidence interval, 0.34-7.22) with an I2 of 0%. CONCLUSION: Continuous glucose monitor use was not associated with improved perinatal outcomes as assessed by large-for-gestational-age infants and preeclampsia. This review is limited by the small amount of data available for this population, and further research is needed.


Subject(s)
Diabetes Mellitus, Type 2 , Diabetes, Gestational , Pre-Eclampsia , Pregnancy , Infant, Newborn , Female , Humans , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/epidemiology , Diabetes, Gestational/diagnosis , Diabetes, Gestational/epidemiology , Pre-Eclampsia/diagnosis , Pre-Eclampsia/epidemiology , Blood Glucose , Blood Glucose Self-Monitoring , Cross-Sectional Studies
2.
Gynecol Oncol Rep ; 45: 101140, 2023 Feb.
Article in English | MEDLINE | ID: covidwho-2178962

ABSTRACT

Objective: The COVID-19 vaccine is known to instigate an inflammatory response that impacts cancer testing. We aimed to evaluate carbohydrate antigen 125 (CA-125) trends in gynecologic oncology patients in surveillance following COVID-19 vaccination to inform clinical practice. Methods: This was a single institution retrospective study of patients who received a COVID-19 vaccine while undergoing surveillance of gynecologic cancers with serial serum CA-125 measurements. CA-125 levels from the three months before and after vaccination were included in analysis. Differences between mean and median pre- and post-vaccination CA-125 levels for each patient were calculated. The mean and median of these differences were calculated, as well as the distribution of change. Demographic and cancer-related variables were also recorded. Results: Twenty-six patients who received a COVID-19 vaccine and were followed with surveillance serum CA-125 levels were identified. The mean age was 68.2 years; 92 % received a two-vaccine series. Forty-six percent had endometrial cancer and 54 % had ovarian cancer. The mean change from pre- to post-vaccine mean CA-125 level was 0.16 (±7.17) U/mL and the median change from pre- to post-vaccine median CA-125 level was -0.30 (IQR 3.66) U/mL. The range in change from pre- to post-vaccine mean was -16.50 to 24.00 U/mL, with 73 % of patients between -4 and +4 U/mL. Conclusion: We found no clinically significant change in CA-125 level after patients under surveillance for gynecologic cancers were vaccinated against COVID-19, suggesting that that the vaccine does not impact the utility of CA-125 as a tool to monitor disease in this population.

3.
BMJ Open Qual ; 10(2)2021 06.
Article in English | MEDLINE | ID: covidwho-1266386

ABSTRACT

The COVID-19 pandemic prompted a rapid change in primary care provision. There was a significant shift from face-to-face appointments to remote methods such as electronic consultation (e-consultation). Patients from a primary care provider in London were actively encouraged to use an online consultation platform called 'Dr iQ'. A group of high frequency users of Dr iQ emerged and clinicians were concerned their health needs were not being met through the platform. High frequency attendance in a traditional general practice setting is associated with increased time and healthcare costs.This project evaluated the number of high frequency users (identified as 10 or more consultations a month) of Dr iQ in one busy inner city practice over a 5-month period. We aimed to decrease the subsequent monthly usage frequency of all Dr iQ high frequency users from 10 or more consultations to less than 10 consultations. Our interventions included a semi-structured telephone interview, discussion among the multidisciplinary team, and regular scheduled telephone or face-to-face appointments. Following two Plan-Do-Study-Act cycles, all 12 high frequency users showed a decrease in the number of consultations submitted to Dr iQ to less than 10 consultations a month.This project proposes a method of case managing high frequency users of e-consultation. The majority of high frequency users had unmet health needs and felt a lack of continuity of care on Dr iQ. They often had complex physical and mental health problems. As remote consulting technology continues to develop, more research is required to understand the epidemiology and aetiology of e-consultation high frequency use in order to improve patient outcomes.


Subject(s)
Patient Acceptance of Health Care/statistics & numerical data , Remote Consultation/statistics & numerical data , Adult , COVID-19/prevention & control , COVID-19/transmission , Digital Technology/methods , Female , Humans , London , Male , Patient Satisfaction , Physician-Patient Relations , Primary Health Care/methods , Quality Improvement , Remote Consultation/methods
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