Contemporary Test Performance of the Random Urine Protein-to-creatinine Ratio.

OBJECTIVE: The random urine protein-to-creatinine ratio (UPCR) is a screening test used for predicting clinically significant proteinuria (urine protein ≥ 300 mg) during pregnancy. No consensus exists on the optimal random UPCR cutoff for performing follow-up 24 hour urine (24H) total protein collection. We aim to evaluate the test performance of random UPCR in predicting proteinuria in a contemporary cohort. STUDY DESIGN: This was a retrospective cohort study of pregnant patients at our institution from 2014 to 2018 with a random UPCR and follow-up 24H protein collection. The primary analysis estimated the test characteristics (sensitivity, specificity, positive and negative predictive values) of using random UPCR for the detection of proteinuria defined as urine protein ≥300 mg on 24H protein collection. UPCR cutoffs from 0.10 to 0.30 mg/dL were evaluated, receiver operator characteristic (ROC) curve was constructed, and area under the curve (AUC) was determined. A secondary analysis examined the correlation between UPCR and 24H protein using least squares regression and Pearson correlation. RESULTS: Paired UPCR and 24H collection results were available for 1,120 patients. Mean gestational age at time of UPCR was 31.1 ± 5.1 weeks and 687 (61.3%) of patients had a 24H ≥300 mg. UPCR <0.10 mg/dL effectively excluded proteinuria ≥300 mg on 24H collection, while UPCR ≥0.18 mg/dL correctly classifies proteinuria with 91% sensitivity, 57% specificity, 77% positive predictive value, and 79% negative predictive value. UPCR ≥1.07 mg/dL had 100% specificity for 24 hour proteinuria. The area under ROC curve was 0.86. UPCR and 24H collection were highly correlated with a Pearson correlation coefficient of 0.85. After our institution lowered the threshold to obtain a 24H from UPCR ≥0.20 mg/dL to ≥0.10 mg/dL in May 2017, the percentage of patients meeting criteria for 24H collection increased from 57.8 to 84.4%. CONCLUSION: The AUC and Pearson correlation suggest random UPCR is a high performance test for the prediction of proteinuria on 24H. Optimal test performance is dependent upon clinical consideration and upon the implications of the disease or condition. A random UPCR screen positive threshold of 0.18 mg/dL maximizes sensitivity to identify clinically significant proteinuria. KEY POINTS: · Random urine protein to creatinine ratio is a high performance test for proteinuria.. · A random UPCR threshold of 0.18 mg/dL maximizes sensitivity to identify proteinuria.. · Optimal test performance is dependent on the disease or clinical condition..

Recurrent Severe Maternal Morbidity in an Obstetric Population With a High Comorbidity Burden.

OBJECTIVE: To evaluate the risk of severe maternal morbidity (SMM) in subsequent pregnancies in patients who experienced SMM in a previous pregnancy compared with those who did not. METHODS: We conducted a retrospective cohort study of patients with two or more deliveries at 23 or more weeks of gestation at a single Southeastern U.S. tertiary care center between 2015 and 2018. The primary exposure was SMM including transfusion (transfusion SMM) in a previous pregnancy, as defined by the Centers for Disease Control and Prevention, using International Classification of Diseases, Ninth or Tenth Revision codes. The primary outcome was transfusion SMM in any subsequent pregnancy in the study time frame. Generalized estimating equation models were used to estimate the relative risk (RR) and associated 95% CIs of transfusion SMM in patients with transfusion SMM in a prior pregnancy compared with patients without transfusion SMM in a previous pregnancy. Severe maternal morbidity without transfusion (nontransfusion SMM) and cross-analysis to determine risk of a different type of SMM after a history of SMM were analyzed similarly. RESULTS: Of 852 included patients, transfusion SMM and nontransfusion SMM occurred in 90 (10.6%) and 18 (2.1%), respectively, in the first captured pregnancy and in 79 (9.3%) and 9 (1.1%), respectively, in subsequent pregnancies. Anemia (34.6-40.0%), obesity (33.4-40.4%), substance use disorder (14.2-14.6%), and preeclampsia (12.0-11.4%) were the most prevalent morbidities at first captured and subsequent pregnancies, respectively. There was a 16-fold higher risk of transfusion SMM in a subsequent pregnancy after experiencing transfusion SMM in the first captured pregnancy (57.8% vs 3.5%, RR 16.3 95% CI, 10.8-24.6). Nontransfusion SMM was similarly higher in patients with nontransfusion SMM in their first captured pregnancy compared with those without (16.7% vs 0.7%, RR 23.2 95% CI, 6.3-85.4). Additionally, patients who experienced transfusion SMM in their first captured pregnancies were at sixfold higher risk of developing nontransfusion SMM in a subsequent pregnancy (RR 6.2, 95% CI, 1.7-22.6). However, in cross-analysis of patients who experienced nontransfusion SMM, the risk of transfusion SMM in a subsequent pregnancy was not statistically significant. CONCLUSION: The risks of SMM in subsequent pregnancies after previous SMM are extremely high and are higher than previous estimates. Future studies should estimate the contributions of comorbidities and other structural determinants including social vulnerability to help design interventions to reduce subsequent pregnancy risks.

Association of Continuous Glucose Monitoring Metrics With Pregnancy Outcomes in Patients With Preexisting Diabetes.

OBJECTIVE: Continuous glucose monitoring (CGM) improves maternal glycemic control and neonatal outcomes in type 1 diabetes pregnancies compared with self-monitoring of blood glucose. However, CGM targets for pregnancy are based on expert opinion. We aimed to evaluate the association between CGM metrics and perinatal outcomes and identify evidence-based targets to reduce morbidity. RESEARCH DESIGN AND METHODS: This was a retrospective cohort study of pregnant patients with type 1 or 2 diabetes who used real-time CGM and delivered at a U.S. tertiary center (2018-2021). Multiple gestations, fetal anomalies, and early pregnancy loss were excluded. Exposures included time in range (TIR; 65-140 mg/dL), time above range (TAR), time below range (TBR), glucose variability, average glucose, and glucose management indicator. The primary outcome was a composite of fetal or neonatal mortality, large or small for gestational age at birth, neonatal intensive care unit admission, hypoglycemia, shoulder dystocia or birth trauma, and hyperbilirubinemia. Logistic regression estimated the association between CGM metrics and outcomes, and optimal TIR was calculated. RESULTS: Of 117 patients, 16 (13.7%) used CGM before pregnancy and 68 (58.1%) had type 1 diabetes. Overall, 98 patients (83.8%) developed the composite neonatal outcome. All CGM metrics, except TBR, were associated with neonatal morbidity. For each 5 percentage-point increase in TIR, there was 28% reduced odds of neonatal morbidity (odds ratio 0.72, 95% CI 0.58-0.89). The statistically optimal TIR was 66-71%. CONCLUSIONS: Nearly all CGM metrics were associated with adverse neonatal morbidity and mortality and may aid management of preexisting diabetes in pregnancy. Our findings support the American Diabetes Association recommendation of 70% TIR.