The impact of parental involvement laws on minors seeking abortion services: a systematic review.

On June 24, 2022, the US Supreme Court overturned the constitutional right to abortion in Dobbs v Jackson Women's Health Organization. Minors are a vulnerable population with a high risk of unintended pregnancy who are likely to be disproportionately affected by abortion restrictions. Examining the impact of historical abortion restrictions in minors may provide insight into the anticipated effects of the Dobbs decision. This study is a systematic review examining the impact of parental involvement (PI) laws on minors seeking abortion services. Our review suggests an association between PI laws and decreased abortion rates. Parental involvement laws also may increase pregnancy and birth rates and out-of-state travel for abortion procedures and lead to later abortions, although effects appear to be heterogenous.

Standardizing Diagnostic and Surgical Approach to Management of Bile Duct Injuries After Cholecystectomy: Long-Term Outcomes of Patients Treated at a High-Volume HPB Center.

BACKGROUND: Optimal diagnostic and surgical approaches for patients with bile duct injuries (BDI) remain debated. This study reviews results from a standardized approach to management of high-grade BDIs at a North American center. DESIGN: Patients undergoing surgical repair for BDIs over a 15-year period were included. Post-operative outcomes and biliary patency rates were calculated using imaging, laboratory values, and patient interviews. RESULTS: A total of 107 consecutive patients underwent repair for BDIs. Bismuth grade I/II injuries were identified in 46 patients (41%), grade III/IV in 41 (38%), grade V in 11 patients (10%), and 9 (10%) were unclassified. BDI anatomy was commonly identified using magnetic resonance imaging (MRI) (75%). Concomitant arterial injuries were identified in 30 (28 with formal angiography). Fifteen had early repairs (within 4 days) and remainder interval repairs (median: 65 days). Hepp-Couinaud repair was method of choice (83%). Estimated primary biliary patency was 100% at 30 days and 87% at 5 years. CONCLUSION: With appropriate referral to a specialist, surgical reconstruction of BDIs can have excellent outcomes, even with accompanying arterial injuries. Based on our experience, MR as first imaging modality and supplemental angiography served as the optimal diagnostic strategy. Delayed repair, using Hepp-Couinaud technique, with selective liver resection results in high long-term patency rates.

Validation of ICD-10 Codes for Gestational and Pregestational Diabetes During Pregnancy in a Large, Public Hospital.

BACKGROUND: The use of billing codes (ICD-10) to identify and track cases of gestational and pregestational diabetes during pregnancy is common in clinical quality improvement, research, and surveillance. However, specific diagnoses may be misclassified using ICD-10 codes, potentially biasing estimates. The goal of this study is to provide estimates of validation parameters (sensitivity, specificity, positive predictive value, and negative predictive value) for pregestational and gestational diabetes diagnosis using ICD-10 diagnosis codes compared with medical record abstraction at a large public hospital in Atlanta, Georgia. METHODS: This study includes 3,654 deliveries to Emory physicians at Grady Memorial Hospital in Atlanta, Georgia, between 2016 and 2018. We linked information abstracted from the medical record to ICD-10 diagnosis codes for gestational and pregestational diabetes during the delivery hospitalization. Using the medical record as the gold standard, we calculated sensitivity, specificity, positive predictive value, and negative predictive value for each. RESULTS: For both pregestational and gestational diabetes, ICD-10 codes had a high-negative predictive value (>99%, Table 3) and specificity (>99%). For pregestational diabetes, the sensitivity was 85.9% (95% CI = 78.8, 93.0) and positive predictive value 90.8% (95% CI = 85, 97). For gestational diabetes, the sensitivity was 95% (95% CI = 92, 98) and positive predictive value 86% (95% CI = 81, 90). CONCLUSIONS: In a large public hospital, ICD-10 codes accurately identified cases of pregestational and gestational diabetes with low numbers of false positives.