The development and validation of a scoring tool to predict the operative duration of elective laparoscopic cholecystectomy

Background: The ability to accurately predict operative duration has the potential to optimise theatre efficiency and utilisation, thus reducing costs and increasing staff and patient satisfaction. With laparoscopic cholecystectomy being one of the most commonly performed procedures worldwide, a tool to predict operative duration could be extremely beneficial to healthcare organisations. Methods: Data collected from the CholeS study on patients undergoing cholecystectomy in UK and Irish hospitals between 04/2014 and 05/2014 were used to study operative duration. A multivariable binary logistic regression model was produced in order to identify significant independent predictors of long (> 90 min) operations. The resulting model was converted to a risk score, which was subsequently validated on second cohort of patients using ROC curves. Results: After exclusions, data were available for 7227 patients in the derivation (CholeS) cohort. The median operative duration was 60 min (interquartile range 45–85), with 17.7% of operations lasting longer than 90 min. Ten factors were found to be significant independent predictors of operative durations > 90 min, including ASA, age, previous surgical admissions, BMI, gallbladder wall thickness and CBD diameter. A risk score was then produced from these factors, and applied to a cohort of 2405 patients from a tertiary centre for external validation. This returned an area under the ROC curve of 0.708 (SE = 0.013, p  90 min increasing more than eightfold from 5.1 to 41.8% in the extremes of the score. Conclusion: The scoring tool produced in this study was found to be significantly predictive of long operative durations on validation in an external cohort. As such, the tool may have the potential to enable organisations to better organise theatre lists and deliver greater efficiencies in care

Toxic air pollution and concentrated social deprivation are associated with low birthweight and preterm Birth in Louisiana

Previous studies indicate that pollution exposure can increase risks of adverse birth outcomes, but Black communities are underrepresented in this research, and the potential moderating role of neighborhood context has not been explored. These issues are especially relevant in Louisiana, which has a high proportion of Black residents, an entrenched history of structural racism, the most pounds of toxic industrial emissions annually, and among the nation’s highest rates of low birthweight (LBW), preterm birth (PTB), and infant mortality. We investigated whether air pollution and social polarization by race and income (measured via the index of concentration at the extremes [ICE]) were associated with LBW and PTB among Louisiana census tracts ( n = 1101) using spatial lag models. Data sources included 2011–2020 birth records, U.S. Census Bureau 2017 demographic data, and 2017 respiratory hazard (RH) from the U.S. Environmental Protection Agency. Both RH and ICE were associated with LBW ( z = 4.4, P < 0.0001; z = −27.0, P < 0.0001) and PTB ( z = 2.3, P = 0.019; z = −16.7, P < 0.0001), with no interaction. Severely polluted tracts had 25% higher and 36% higher risks of LBW and PTB, respectively, versus unpolluted tracts. On average, 2166 low birthweight and 3583 preterm births annually were attributable to pollution exposure. Tracts with concentrated social deprivation (i.e. low ICE scores) had 53% higher and 34% higher risks of LBW and PTB, respectively, versus intermediate or mixed tracts. On average, 1171 low birthweight and 1739 preterm births annually were attributable to concentrated deprivation. Our ecological study found that a majority of adverse birth outcomes in Louisiana (i.e. 67% of LBW and PTB combined) are linked to air pollution exposure or disadvantage resulting from social polarization. These findings can inform research, policy, and advocacy to improve health equity in marginalized communities

“Look at the Whole Me”: A Mixed-Methods Examination of Black Infant Mortality in the US through Women’s Lived Experiences and Community Context

In the US, the non-Hispanic Black infant mortality rate exceeds the rate among non-Hispanic Whites by more than two-fold. To explore factors underlying this persistent disparity, we employed a mixed methods approach with concurrent quantitative and qualitative data collection and analysis. Eighteen women participated in interviews about their experience of infant loss. Several common themes emerged across interviews, grouped by domain: individual experiences (trauma, grieving and counseling; criminalization); negative interactions with healthcare providers and the healthcare system; and broader contextual factors. Concurrently, we estimated the Black infant mortality rate (deaths per 1000 live births) using linked live birth-infant death records from 2010 to 2013 in every metropolitan statistical area in the US. Poisson regression examined how contextual indicators of population health, socioeconomic conditions of the Black population, and features of the communities in which they live were associated with Black infant mortality and inequity in Black–White infant mortality rates across 100 metropolitan statistical areas with the highest Black infant mortality rates. We used principal components analysis to create a Birth Equity Index in order to examine the collective impact of contextual indicators on Black infant mortality and racial inequity in mortality rates. The association between the Index and Black infant mortality was stronger than any single indicator alone: in metropolitan areas with the worst social, economic, and environmental conditions, Black infant mortality rates were on average 1.24 times higher than rates in areas where conditions were better (95% CI = 1.16, 1.32). The experiences of Black women in their homes, neighborhoods, and health care centers and the contexts in which they live may individually and collectively contribute to persistent racial inequity in infant mortality

Women's Reproductive Rights Policies and Adverse Birth Outcomes: A State-Level Analysis to Assess the Role of Race and Nativity Status

IntroductionReproductive rights policies can potentially support or inhibit individuals' abilities to attain the highest standard of reproductive and sexual health; however, research is limited on how broader social policies may differentially impact women of color and immigrants in the U.S. This study examines the associations among state-level reproductive rights policies, race, and nativity status with preterm birth and low birth weight in the U.S.MethodsThis was a retrospective, cross-sectional analysis of all births occurring within all the 50 states and the District of Columbia using vital statistics birth record data in 2016 (N=3,945,875). Modified log-Poisson regression models with generalized estimating equations were fitted to estimate the RR of preterm birth and low birth weight associated with tertiles of the reproductive rights policies index. Analyses were conducted between 2019 and 2020.ResultsCompared with women in states with the most restrictive reproductive rights policies, women living in the least restrictive states had a 7% lower low birth weight risk (adjusted RR=0.93, 95% CI=0.88, 0.99). In particular, low birth weight risk was 8% lower among Black women living in the least restrictive states than among their counterparts living in the most restrictive states (adjusted RR=0.92, 95% CI=0.86, 0.99). In addition, low birth weight risk was 6% lower among U.S.-born Black women living in the least restrictive states than among those living in the most restrictive states, but this was marginally significant (adjusted RR=0.94, 95% CI=0.89, 1.00). No other significant associations were found for race-nativity-stratified models.ConclusionsWomen living in states with fewer restrictions related to reproductive rights have lower rates of low birth weight, especially for Black women

Pre-pregnancy cardiovascular risk factors and racial disparities in birth outcomes: the Bogalusa Heart Study

Abstract Background Racial disparities in birth outcomes are mirrored in cardiovascular health. Recently there have been calls for more attention to preconception and interconceptional health in order to improve birth outcomes, including as a strategy to reduce black-white disparities. Methods As part of a larger study of cardiovascular and reproductive health (“Bogalusa Babies”), female participants were linked to their children’s birth certificates for Louisiana, Mississippi, and Texas births from 1982 to 2009. Three thousand and ninety-five women were linked to birth certificate data. Birth outcomes were defined as low birthweight (LBW) birthweight  3 weeks early; small for gestational age (SGA), 90th percentile for gestational age]. Cardiovascular measures (blood pressure, lipids, glucose, insulin) at the visit closest in time but prior to the pregnancy was examined as predictors of birth outcomes using logistic models adjusted for covariates. Results Only a few cardiovascular risk factors were associated with birth outcomes. Triglycerides were associated with higher risk of LBW among whites (aOR 1.05, 95% 1.01–1.10). Higher glucose was associated with a reduction in risk of SGA for black women (aOR 0.85, 95% CI 0.76–0.95), but not whites (p for interaction = 0.02). Clear racial disparities were found, but they were reduced modestly (LBW/SGA) or not at all (PTB/LGA) after CVD risk factors were adjusted for. Conclusions This analysis does not provide evidence for preconception cardiovascular risk being a strong contributor to racial disparities

Reproductive Health Knowledge Among African American Women Enrolled in a Clinic-Based Randomized Controlled Trial to Reduce Psychosocial and Behavioral Risk: Project DC-HOPE

BACKGROUND: Washington, DC, has among the highest rates of sexually transmitted infections and unintended pregnancy in the United States. Increasing women\u27s reproductive health knowledge may help to address these reproductive health issues. This analysis assessed whether high-risk pregnant African American women in Washington, DC, who participated in an intervention to reduce behavioral and psychosocial risks had greater reproductive health knowledge than women receiving usual care. METHODS: Project DC-HOPE was a randomized, controlled trial that included pregnant African American women in Washington, DC, recruited during prenatal care (PNC). Women in the intervention group were provided reproductive health education and received tailored counseling sessions to address their psychosocial and behavioral risk(s) (cigarette smoking, environmental tobacco smoke exposure, depression, and intimate partner violence). Women in the control group received usual PNC. Participants completed a 10-item reproductive knowledge assessment at baseline (n = 1,044) and postpartum (n = 830). Differences in total reproductive health knowledge scores at baseline and postpartum between groups were examined via χ(2) tests. Differences in postpartum mean total score by group were assessed via multiple linear regression. RESULTS: Women in both groups and at both time points scored approximately 50% on the knowledge assessments. At postpartum, women in the intervention group had higher total scores compared with women receiving usual care (mean 5.40 [SD 1.60] vs. 5.03 [SD 1.53] out of 10, respectively; p \u3c .001). CONCLUSIONS: Although intervention participants increased reproductive health knowledge, overall scores remained low. Development of interventions designed to impart accurate, individually tailored information to women may promote reproductive health knowledge among high-risk pregnant African American women residing in Washington, DC

Diet Quality and Sleep Characteristics in Midlife: The Bogalusa Heart Study

Background: Sleep and diet contribute to cardiometabolic disease, but evidence is sparse for the association between these behaviors. This study analyzed the cross-sectional relationship between diet quality and multiple sleep outcomes in the Bogalusa Heart Study (BHS). Methods: Diet and sleep characteristics, including insomnia and sleep apnea symptoms, were measured with validated questionnaires. Poisson regression using generalized estimating equations with a log link estimated prevalence rate ratios (PRR) of sleep outcomes by dietary pattern scores (quintile (Q) and per SD). Models were adjusted for body mass index (BMI), multi-level socioeconomic factors, physical activity, depressive symptoms, and other potential confounders. Results: In 824 participants, higher diet quality, measured by the Alternate Healthy Eating Index-2010, was associated with lower sleep apnea risk score after adjustment (PRR [95% confidence interval (CI)] Q5 vs. Q1: 0.59 [0.44, 0.79], per SD increase: 0.88 [0.81, 0.95], p-trend < 0.0001). There were no statistically significant associations with the Healthy Eating Index 2015 or the Alternate Mediterranean dietary patterns, or for insomnia symptoms or a healthy sleep score. Conclusions: Higher diet quality, after adjustment for BMI, was associated with a lower sleep apnea risk score in a cohort with substantial minority representation from a semi-rural, lower-income community