Causes of Death in End-Stage Kidney Disease: Comparison between the United States Renal Data System and a Large Integrated Health Care System

<b><i>Introduction:</i></b> Using a large diverse population of incident end-stage kidney disease (ESKD) patients from an integrated health system, we sought to evaluate the concordance of causes of death (CODs) between the underlying COD from the United States Renal Data System (USRDS) registry and CODs obtained from Kaiser Permanente Southern California (KPSC). <b><i>Methods:</i></b> A retrospective cohort study was performed among incident ESKD patients who had mortality records and CODs reported in both KPSC and USRDS databases between January 1, 2007, and December 31, 2016. Underlying CODs reported by the KPSC were compared to the CODs reported by USRDS. Overall and subcategory-specific COD agreements were assessed using Cohen’s weighted kappa statistic (95% CI). Proportions of positive and negative agreement were also determined. <b><i>Results:</i></b> Among 4,188 ESKD patient deaths, 4,118 patients had CODs recorded in both KPSC and USRDS. The most common KPSC CODs were circulatory system diseases (35.7%), endocrine/nutritional/metabolic diseases (24.2%), genitourinary diseases (12.9%), and neoplasms (9.6%). Most common USRDS CODs were cardiac disease (46.9%), withdrawal from dialysis (12.6%), and infection (10.1%). Of 2,593 records with causes listed NOT as “Other,” 453 (17.4%) had no agreement in CODs between the USRDS and the underlying, secondary, tertiary, or quaternary causes recorded by KPSC. In comparing CODs recorded within KPSC to the USRDS, Cohen’s weighted kappa (95% CI) was 0.20 (0.18–0.22) with overall agreement of 36.4%. <b><i>Conclusion:</i></b> Among an incident ESKD population with mortality records, we found that there was only fair or slight agreement between CODs reported between the USRDS registry and KPSC, a large integrated health care system.

Impact of Hematology Electronic Consultations on Utilization of Referrals and Patient Outcomes in an Integrated Health Care System

INTRODUCTION Electronic consultations (e-consults) may be a valuable tool in the current era of increased demand for hematologists. Despite the increasing use of e-consults in hematology, their optimal utilization and impact on patient outcomes and workload are largely unknown. METHODS In this retrospective cohort study, we studied the hematology consult experience at Veterans Affairs Connecticut from 2006 to 2018. We included 7,664 hematology consults (3,240 e-consults and 4,424 face-to-face [FTF] consults) requested by 1,089 unique clinicians. RESULTS We found that e-consults were rapidly adopted and used equally among physicians of different degrees of experience. The number of FTF consults did not decrease after the introduction of e-consult services. E-consults were preferentially used for milder laboratory abnormalities that had been less likely to result in a consult before their availability. Referring clinicians used e-consults preferentially for periprocedural management, anemia, leukopenia, and anticoagulation questions. Eighty-three percent of e-consults were resolved without needing an FTF visit in the year after the consult. Consults for pancytopenia, gammopathy, leukocytosis, and for patients with known malignancy were less likely to be resolved by e-consult. Among patients who were diagnosed with a new hematologic malignancy after their consult, having an e-consult before an FTF visit did not adversely affect survival. CONCLUSION In summary, e-consults safely expanded delivery of hematology services in our health care system but increased total consult volume. We report novel data on what types of consults may be best suited to the electronic modality, the impact of e-consults on workload, and their optimal use and implementation.

Postoperative Pain and Opioid Use after Facial Feminization Surgery

The objective of this study is to characterize surgical pain after facial feminization surgery (FFS) and delineate postoperative opioid usage. It is a retrospective cohort study. It was performed in a multicenter integrated health care system. Electronic medical records were reviewed for patient demographic characteristics, medical history, pain medication prescriptions, and responses to a postoperative pain survey. Student's t-test and the Mann–Whitney U-test were used for bivariate analysis. Fisher's exact tests were used for categorical data. Seventy-four patients who underwent FFS were included. The mean (standard deviation) reported “average” postoperative pain score was 4.3 (2.3) out of 10. A total of 58% of patients reported pain lasting 5 or fewer days after surgery. The severity and duration of postoperative pain was similar between patients who underwent partial-FFS or full-FFS. A total of 68% of patients required fewer than 15 opioid tablets. There were no significant differences in the quantity of opioids prescribed or used between patients who underwent partial-FFS or full-FFS. Older age and premorbid mood disorder did not correlate with greater severity/duration of pain or number of opioids used after surgery. Most patients required fewer than 15 opioid tablets after surgery and experienced less than a week of postoperative pain. Patients undergoing full-FFS did not appear to experience significantly greater pain than those undergoing fewer procedures. Older age and premorbid mood disorder were not predictors of worse pain outcomes or greater opioid utilization.

The first 1000 symptomatic pediatric SARS-CoV-2 infections in an integrated health care system: a prospective cohort study

Background The spectrum of illness and predictors of severity among children with SARS-CoV-2 infection are incompletely understood. Methods Active surveillance was performed for SARS-CoV-2 by polymerase chain reaction among symptomatic pediatric patients in a quaternary care academic hospital laboratory beginning March 12, 2020. We obtained sociodemographic and clinical data 5 (+/-3) and 30 days after diagnosis via phone follow-up and medical record review. Logistic regression was used to assess predictors of hospitalization. Results The first 1000 symptomatic pediatric patients were diagnosed in our institution between March 13, 2020 and September 28, 2020. Cough (52 %), headache (43 %), and sore throat (36 %) were the most common symptoms. Forty-one (4 %) were hospitalized; 8 required ICU admission, and 2 required mechanical ventilation (< 1 %). One patient developed multisystem inflammatory syndrome in children; one death was possibly associated with SARS-CoV-2 infection. Symptom resolution occurred by follow-up day 5 in 398/892 (45 %) patients and by day 30 in 443/471 (94 %) patients. Pre-existing medical condition (OR 7.7; 95 % CI 3.9–16.0), dyspnea (OR 6.8; 95 % CI 3.2–14.1), Black race or Hispanic ethnicity (OR 2.7; 95 % CI 1.3–5.5), and vomiting (OR 5.4; 95 % CI 1.2–20.6) were the strongest predictors of hospitalization. The model displayed excellent discriminative ability (AUC = 0.82, 95 % CI 0.76–0.88, Brier score = 0.03). Conclusions In 1000 pediatric patients with systematic follow-up, most SARS-CoV-2 infections were mild, brief, and rarely required hospitalization. Pediatric predictors of hospitalization included comorbid conditions, Black race, Hispanic ethnicity, dyspnea and vomiting and were distinct from those reported among adults.