Lee, Crystal Y.

Background: Retrospective cohort study of 561 adult patients undergoing secondary intraocular lens (IOL) implantation by vitreoretinal surgeons at a single institution from April 2015 to December 2020. Methods: Patient historical factors, intraoperative/postoperative complications, and outcomes of IOL type (anterior chamber IOL versus scleral sutured IOL versus scleral fixated IOL versus. sulcus) were assessed. Primary outcomes were rates of postoperative retinal tears and rhegmatogenous retinal detachment. Secondary outcomes were rates of intraoperative endolaser, intraoperative retinal tear, and further IOL surgery. Results: The incidence of intraoperative retinal tears was 7.3% and not significantly different between techniques. Rates of intraoperative endolaser use were 17.5% among all techniques and not significantly different between techniques. Rates of postoperative retinal tear were low (0%–2.7%). Rates of postoperative rhegmatogenous retinal detachment were not significantly different between techniques (anterior chamber IOL 9/198 [4.5%], SFIOL 1/54 [1.9%], scleral sutured IOL 14/274 [5.1%], sulcus 2/35 [5.7%], total 26/561 [4.6%], P = 0.79). Rates of repeat IOL surgery trended higher in sulcus lenses (anterior chamber IOL 5/198 [2.5%], SFIOL 4/54 [7.4%], scleral sutured IOL 16/274 [5.8%], sulcus 5/35 [14.3%], total 30/561 [5.3%], P = 0.12). Conclusion: Intraoperative endolaser use and intraoperative retinal tear are not uncommon in secondary IOL surgery and underscore the importance of careful vitreoretinal management among these patients.

AbstractInternational Statistical Classification of Disease and Related Health Problems, 10th Revision codes (ICD‐10) are used to characterize cohort comorbidities. Recent literature does not demonstrate standardized extraction methods. Objective: Compare COVID‐19 cohort manual‐chart‐review and ICD‐10‐based comorbidity data; characterize the accuracy of different methods of extracting ICD‐10‐code‐based comorbidity, including the temporal accuracy with respect to critical time points such as day of admission. Design: Retrospective cross‐sectional study. Measurements: ICD‐10‐based‐data performance characteristics relative to manual‐chart‐review. Results: Discharge billing diagnoses had a sensitivity of 0.82 (95% confidence interval [CI]: 0.79–0.85; comorbidity range: 0.35–0.96). The past medical history table had a sensitivity of 0.72 (95% CI: 0.69–0.76; range: 0.44–0.87). The active problem list had a sensitivity of 0.67 (95% CI: 0.63–0.71; range: 0.47–0.71). On day of admission, the active problem list had a sensitivity of 0.58 (95% CI: 0.54–0.63; range: 0.30–0.68)and past medical history table had a sensitivity of 0.48 (95% CI: 0.43–0.53; range: 0.30–0.56). Conclusions and Relevance: ICD‐10‐based comorbidity data performance varies depending on comorbidity, data source, and time of retrieval; there are notable opportunities for improvement. Future researchers should clearly outline comorbidity data source and validate against manual‐chart‐review.

AbstractCOVID‐19 has disproportionately affected low‐income communities and people of color. Previous studies demonstrated that race/ethnicity and socioeconomic status (SES) are not independently correlated with COVID‐19 mortality. The purpose of our study is to determine the effect of race/ethnicity and SES on COVID‐19 30‐day mortality in a diverse, Philadelphian population. This is a retrospective cohort study in a single‐center tertiary care hospital in Philadelphia, PA. The study includes adult patients hospitalized with polymerase‐chain‐reaction‐confirmed COVID‐19 between March 1, 2020 and June 6, 2020. The primary outcome was a composite of COVID‐19 death or hospice discharge within 30 days of discharge. The secondary outcome was intensive care unit (ICU) admission. The study included 426 patients: 16.7% died, 3.3% were discharged to hospice, and 20.0% were admitted to the ICU. Using multivariable analysis, race/ethnicity was not associated with the primary nor secondary outcome. In Model 4, age greater than 75 (odds ratio [OR]: 11.01; 95% confidence interval [CI]: 1.96–61.97) and renal disease (OR: 2.78; 95% CI: 1.31–5.90) were associated with higher odds of the composite primary outcome. Living in a “very‐low‐income area” (OR: 0.29; 95% CI: 0.12–0.71) and body mass index (BMI) 30–35 (OR: 0.24; 95% CI: 0.08–0.69) were associated with lower odds of the primary outcome. When controlling for demographics, SES, and comorbidities, race/ethnicity was not independently associated with the composite primary outcome. Very‐low SES, as extrapolated from census‐tract‐level income data, was associated with lower odds of the composite primary outcome.