Physician and informal care use explained by the Pediatric Quality of Life Inventory (PedsQL) in children with suspected genetic disorders.

PURPOSE: To examine associations between Pediatric Quality of Life Inventory (PedsQL) 4.0 Generic Core Scales and PedsQL Infant Scales with formal health care resource utilization (HCRU) and informal caregiver burden. METHODS: We studied a pediatric cohort of 837 patients (median age: 8.4 years) with suspected genetic disorders enrolled January 2019 through July 2021 in the NYCKidSeq program for diagnostic sequencing. Using linked ~ nine-month longitudinal survey and physician claims data collected through May 2022, we modeled the association between baseline PedsQL scores and post-baseline HCRU (median follow-up: 21.1 months) and informal care. We also assessed the longitudinal change in PedsQL scores with physician services using linear mixed-effects models. RESULTS: Lower PedsQL total and physical health scores were independently associated with increases in 18-month physician services, encounters, and weekly informal care. Comparing low vs. median total scores, increases were 10.6 services (95% CI: 1.0-24.6), 3.3 encounters (95% CI: 0.5-6.8), and $668 (95% CI: $350-965), respectively. For the psychosocial domain, higher scores were associated with decreased informal care. Based on adjusted linear mixed-effects modeling, every additional ten physician services was associated with diminished improvement in longitudinal PedsQL total score trajectories by 1.1 point (95% confidence interval: 0.6-1.6) on average. Similar trends were observed in the physical and psychosocial domains. CONCLUSION: PedsQL scores were independently associated with higher utilization of physician services and informal care. Moreover, longitudinal trajectories of PedsQL scores became less favorable with increased physician services. Adding PedsQL survey instruments to conventional measures for improved risk stratification should be evaluated in further research.

The Pediatric Quality of Life Inventory (PedsQL) is widely used to measure health-related quality of life in pediatric patients; however, few studies have examined whether the PedsQL is indicative of longitudinal outcomes of morbidity and health care needs. This study captures associations between PedsQL scores with utilization of physician and informal care in children with suspected genetic disorders. We demonstrate that lower PedsQL total and physical health scores are independently associated with greater utilization of physician services and informal care. Moreover, longitudinal trajectories of PedsQL scores become less favorable with increased physician services. Results can inform future applications of PedsQL instruments.

Inpatient Costs of Treating Patients With COVID-19.

Importance: With more than 6.2 million hospitalizations due to COVID-19 in the US, recognition of the average hospital costs to provide inpatient care during the pandemic is necessary to understanding the national medical resource use and improving public health readiness and related policies. Objective: To examine the mean cost to provide inpatient care to treat COVID-19 and how it varied through the pandemic waves and by important sociodemographic patient characteristics. Design, Setting, and Participants: This cross-sectional study used inpatient-level data from March 1, 2020, to March 31, 2022, extracted from a repository of clinical, administrative, and financial information covering 97% of academic medical centers across the US. Main Outcomes and Measures: Cost to produce care for each stay was calculated using direct hospital costs to provide care adjusted for geographic differences in labor costs using area wage indices. Results: The sample included 1 333 404 stays with a primary or secondary COVID-19 diagnosis from 841 hospitals. The cohort included 692 550 (52%) men, with mean (SD) age of 59.2 (17.5) years. The adjusted mean cost of an inpatient stay was $11 275 (95% CI, $11 252-$11 297) overall, increasing from $10 394 (95% CI, $10 228-$10 559) at the end of March 2020 to $13 072 (95% CI, $12 528-$13 617) by the end of March 2022. Patients with specific comorbidities had significantly higher mean costs than their counterparts: those with obesity incurred an additional $2924 in inpatient stay costs, and those with coagulation deficiency incurred an additional $3017 in inpatient stay costs. Stays during which the patient required extracorporeal membrane oxygenation (ECMO) had an adjusted mean cost of $36 484 (95% CI, $34 685-$38 284). Conclusions and Relevance: In this cross-sectional study, an adjusted mean hospital cost to provide care for patients with COVID-19 increased more than 5 times the rate of medical inflation overall. This appeared to be explained partly by changes in the use of ECMO, which increased over time.

Physician services and costs after disclosure of diagnostic sequencing results in the NYCKidSeq program.

PURPOSE: To better understand the effects of returning diagnostic sequencing results on clinical actions and economic outcomes for pediatric patients with suspected genetic disorders. METHODS: Longitudinal physician claims data after diagnostic sequencing were obtained for patients aged 0 to 21 years with neurologic, cardiac, and immunologic disorders with suspected genetic etiology. We assessed specialist consultation rates prompted by primary diagnostic results, as well as marginal effects on overall 18-month physician services and costs. RESULTS: We included data on 857 patients (median age: 9.6 years) with a median follow-up of 17.3 months after disclosure of diagnostic sequencing results. The likelihood of having ≥1 recommendation for specialist consultation in 155 patients with positive findings was high (72%) vs 23% in 443 patients with uncertain findings and 21% in 259 patients with negative findings (P < .001). Follow-through consultation occurred in 30%. Increases in 18-month physician services and costs following a positive finding diminished after multivariable adjustment. Also, no significant differences between those with uncertain and negative findings were demonstrated. CONCLUSION: Our study did not provide evidence for significant increases in downstream physician services and costs after returning positive or uncertain diagnostic sequencing findings. More large-scale longitudinal studies are needed to confirm these findings.

Trends in use of antipsychotics and psychoactive drugs in older patients after major surgery.

BACKGROUND: Professional society guidelines recommend limiting the use of antipsychotics in older patients with postoperative delirium. How these recommendations affected the use of antipsychotics and other psychoactive drugs in the postoperative period has not been studied. METHODS: This retrospective cohort study included patients 65 years or older without psychiatric diagnoses who underwent major surgery in community hospitals (CHs) and academic medical centers (AMCs) in the United States. The outcome was the rate of hospital days exposed to antipsychotics, antidepressants, antiepileptics, benzodiazepines, hypnotics, and selective alpha-2 receptor agonist dexmedetomidine in the postoperative period by hospital type. RESULTS: The study included 4,098,431 surgical admissions from CHs (mean age 75.0 [standard deviation, 7.1] years; 50.8% female) during 2008-2018 and 2,310,529 surgical admissions from AMCs (75.0 [7.4] years; 49.4% female) during 2009-2018. In the intensive care unit (ICU) setting, the number of exposed days per 1000 hospital-days declined for haloperidol (CHs: 33-21 days [p < 0.01]; AMCs: 24-15 days [p < 0.01]) and benzodiazepines (CHs: 261-136 days [p < 0.01]; AMCs: 150-77 days [p < 0.01]). The use of atypical antipsychotics, antidepressants, antiepileptics, and dexmedetomidine increased, while hypnotic use varied by the hospital type. In the non-ICU setting, the rate declined for haloperidol in CHs but not in AMCs (CHs: 10-6 days [p < 0.01]; AMCs: 4-3 days [p = 0.52]) and for benzodiazepines in both settings (CHs: 126-56 days [p < 0.01]; AMCs: 30-27 days [p < 0.01]). The use of antiepileptics and antidepressants increased, while the use of atypical antipsychotics and hypnotics varied by the hospital type. CONCLUSIONS: The use of haloperidol and benzodiazepines in the postoperative period declined at both CHs and AMCs. These trends coincided with the increasing use of other psychoactive drugs.

Readmission and Disposition in Patients With Malignant Bowel Obstructions Following Gastrostomy Tube.

BACKGROUND: Patients with peritoneal carcinomatosis (PC) can develop malignant bowel obstructions (MBOs) requiring inpatient admission and nasogastric tube decompression. Palliative decompressive gastrostomy tubes (G-tubes) may affect patient disposition, allowing for self-management and reduction in inpatient services. Therefore, we sought to assess disposition and inpatient readmission rates in patients admitted with PC and MBO following G-tube placement. METHODS: The Vizient® Clinical Data Base was queried for inpatient admissions from October 2018 to May 2022 utilizing ICD-10 codes to identify patients admitted with PC and bowel obstruction, with or without G-tube placement. Demographics and hospital outcomes were recorded. Descriptive statistics and multivariate logistic regression analysis were performed. RESULTS: From 750 patients, 59 (7.9%) had a G-tube placed. Compared to patients without G-tubes, those with G-tubes had lower rates of disposition to home (32.2% vs 70.0%, P < .001) and higher rates of disposition to hospice (home: 30.5% vs 7.8%, P < .001, facility: 10.2% vs 3.9%, P = .02). There was no significant difference in the rate (17.3% vs 22.3%, P = .40) or risk (OR = 1.44, 95% CI .69-3.01) of 30-day readmissions with G-tubes. However, palliative care consultation (OR 33.77, 95% CI 19.16-59.52) and G-tube placement (OR 5.82, 95% CI 2.56-13.25) were independent predictors for hospice. DISCUSSION: Placement of G-tubes in patients with PC and MBO was associated with higher rates of disposition to hospice but there is no difference in 30-day readmission rates compared to those without G-tubes. Further prospective studies are needed to understand the role of G-tube placement in patients with MBO in relation to outcomes and disposition.

Determinants of Cost for Outpatient Hysterectomy for Benign Indications in a Nationwide Sample.

OBJECTIVE: To identify surgeon-level variation in cost to produce an outpatient hysterectomy for benign indications in the United States. METHODS: A sample of patients undergoing outpatient hysterectomy in October 2015 to December 2021, excluding those with a diagnosis of gynecologic malignancy, was obtained from the Vizient Clinical Database. The primary outcome was total direct hysterectomy cost, which is a modeled cost to produce care. Patient, hospital, and surgeon covariates were analyzed with mixed-effects regression, which included surgeon-level random effects to capture unobserved differences influencing cost variation. RESULTS: The final sample included 264,717 cases performed by 5,153 surgeons. The median total direct cost of hysterectomy was $4,705 (interquartile range $3,522-6,234). Cost was highest for robotic hysterectomy ($5,412) and lowest for vaginal hysterectomy ($4,147). After all variables were included in the regression model, approach was the strongest of the observed predictors, but 60.5% of the variance in costs was attributable to unexplained surgeon-level differences, implying a difference in costs between the 10th and 90th percentiles of surgeons of $4,063. CONCLUSION: The largest observed determinant of cost to produce an outpatient hysterectomy for benign indications in the United States is approach, but differences in cost are attributable primarily to unexplained differences among surgeons. Standardization of surgical approach and technique and surgeon awareness of surgical supply costs could address these unexplained cost variations.

Cirrhosis Inpatients Receive More Opioids and Fewer Nonopioid Analgesics Than Patients Without Cirrhosis.

GOALS/BACKGROUND: Pain is common among cirrhosis patients, particularly those hospitalized with acute illness. Managing pain in this population is challenging due to concern for adverse events and lack of guidelines for analgesic use. We sought to characterize analgesic use among inpatients with cirrhosis compared with matched noncirrhosis controls, as well as hospital-level variation in prescribing patterns. METHODS: We utilized the Vizient Clinical Database, which includes clinical and billing data from hospitalizations at >500 US academic medical centers. We identified cirrhosis patients hospitalized in 2017-2018, and a matched cohort of noncirrhosis patients. Types of analgesic given-acetaminophen (APAP), nonsteroidal anti-inflammatory drugs (NSAIDs), opioids, and adjuvants (eg, gabapentinoids, antidepressants) were defined from inpatient prescription records. Conditional logistic regression was used to associate cirrhosis diagnosis with analgesic use. RESULTS: Of 116,363 cirrhosis inpatients, 83% received at least 1 dose of an analgesic and 58% had regular inpatient analgesic use, rates that were clinically similar to noncirrhosis controls. Cirrhosis inpatients were half as likely to receive APAP (26% vs. 42%, P <0.01) or NSAIDs (3% vs. 7%, P <0.01), but were more likely to receive opioids (59% vs. 54%, P <0.01), particularly decompensated patients (60%). There was notable variation in analgesic prescribing patterns between hospitals, especially among cirrhosis patients. CONCLUSIONS: Analgesic use was common among inpatients, with similar rates among patients with and without cirrhosis. Cirrhosis patients-particularly decompensated patients-were less likely to receive APAP and NSAIDs and more likely to receive opioid analgesics. Because of lack of evidence-based guidance for management of cirrhosis patients with pain, providers may avoid nonopioid analgesics due to perceived risks and consequently may overutilize opioids in this high-risk population.

Surge in Incidence and Coronavirus Disease 2019 Hospital Risk of Death, United States, September 2020 to March 2021.

Background: Studies of the early months of the coronavirus disease 2019 (COVID-19) pandemic indicate that patient outcomes may be adversely affected by surges. However, the impact on in-hospital mortality during the largest surge to date, September 2020-March 2021, has not been studied. This study aimed to determine whether in-hospital mortality was impacted by the community surge of COVID-19. Methods: This is a retrospective cohort study of 416 962 adult COVID-19 patients admitted immediately before or during the surge at 229 US academic and 432 community hospitals in the Vizient Clinical Database. The odds ratios (ORs) of death among hospitalized patients during each phase of the surge was compared with the corresponding odds before the surge and adjusted for demographic, comorbidity, hospital characteristic, length of stay, and complication variables. Results: The unadjusted proportion of deaths among discharged patients was 9% in both the presurge and rising surge stages but rose to 12% during both the peak and declining surge intervals. With the presurge phase defined as the referent, the risk-adjusted ORs (aORs) for the surge periods were rising, 1.14 (1.10-1.19), peak 1.37 (1.32-1.43), and declining, 1.30 (1.25-1.35). The surge rise in-hospital mortality was present in 7 of 9 geographic divisions and greater for community hospitals than for academic centers. Conclusions: These data support public policies aimed at containing pandemic surges and supporting healthcare delivery during surges.

The need for integrated clinical and administrative data models for risk adjustment in assessment of the cost transplant care.

INTRODUCTION: Value-based purchasing requires accurate techniques to appropriately measure both outcomes and cost with robust adjustment for differences in severity of illness. Traditional methods to adjust cost estimates have exclusively used administrative data derived from billing claims to identify comorbidity and complications. Transplantation uniquely has accurate national clinical registry data that can be used to supplement administrative data. METHODS: Administrative claims from the Vizient, Inc, Clinical Data Base (CDB) were linked with clinical records from the Scientific Registry for Transplant Recipients for 76 liver and 109 kidney transplant programs. Using either or both datasets, we fitted a regression model to the total direct cost of care for 16,649 kidney and 6058 liver transplants. RESULTS: The proportion of variation explained by these risk-adjustment models increased significantly when combined administrative and clinical data were used for kidney (administrative only R2 = .069, clinical only R2 = .047, combined R2 = .14, p < .0001) and liver (administrative only R2 = .28, clinical only R2 = .25, combined R2 = .33, p < .0001). CONCLUSION: Incorporating accurate clinical data into risk-adjustment methodologies can improve risk adjustment methodologies; however, as majority of variation in cost remains unexplained by these risk-adjustment models further work is needed to accuracy assess transplant value.

Physician and Hospital-level Variation in Hemostatic Agent Use in Benign Gynecologic Procedures.

STUDY OBJECTIVE: To identify recent nationwide trends in hemostatic agent (HA) use and to explore factors associated with HA use in 3 benign gynecologic surgery contexts: isolated hysterectomy, pelvic organ prolapse repair, and anti-incontinence surgery. DESIGN: Retrospective cohort study. SETTING: Vizient Clinical Database. PATIENTS: Three cohorts of female patients of ≥18 years who underwent benign isolated hysterectomy, pelvic organ prolapse repair, or anti-incontinence procedures were identified between October 2015 and December 2019. INTERVENTIONS: HAs are topically applied procoagulant products used for surgical hemostasis and use during included encounters was determined by charge codes. MEASUREMENTS AND MAIN RESULTS: Subject-, hospital-, and surgeon-level characteristics and costs were captured. Data were initially analyzed in the aggregate and based on procedure category using the chi-square test or independent samples t tests as appropriate. A bootstrap forest model was used to identify the factors most predictive of HA use. In the final cohort of 184 070 encounters, HAs were used most frequently in hysterectomy (20.7%) and least in anti-incontinence surgery (10.9%). The use of HAs increased from 15.6% in quarter 4 2015 to 19.2% in quarter 4 2019 (p <.001). Encounters using HAs cost more than encounters without HAs ($6271.10 vs $4572.00; p <.001). A bootstrap forest model inclusive of all variables found surgeon and hospital identity cumulatively predictive of 84.9% of HA use, 65.5% and 19.4%, respectively. There was significant variation in HA use among individual surgeons, with 59.9% never using HAs. Of those who did use HAs, 72.8% used HAs more frequently than the mean provider HA use rate (19.4%) and 9.2% used HAs in every case he/she performed. CONCLUSION: The significant variation in HA use is driven primarily by physician and hospital identity, suggesting that use of HA in these benign gynecologic surgical contexts may be determined more by physician- and hospital-level factors than patient-level factors.

Regional Variability in the Care and Outcomes of Subarachnoid Hemorrhage Patients in the United States.

Background and Objectives: Regional variability in subarachnoid hemorrhage (SAH) care is reported in physician surveys. We aimed to describe variability in SAH care using patient-level data and identify factors impacting hospital outcomes and regional variability in outcomes. Methods: A retrospective multi-center cross-sectional cohort study of consecutive non-traumatic SAH patients in the Vizient Clinical Data Base, between January 1st, 2009 and December 30th, 2018 was performed. Participating hospitals were divided into US regions: Northeast, Midwest, South, West. Regional demographics, co-morbidities, severity-of-illness, complications, interventions and discharge outcomes were compared. Multivariable logistic regression was performed to identify factors independently associated with primary outcomes: hospital mortality and poor discharge outcome. Poor discharge outcome was defined by the Nationwide Inpatient Sample-SAH Outcome Measure, an externally-validated outcome measure combining death, discharge disposition, tracheostomy and/or gastrostomy. Regional variability in the associations between care and outcomes were assessed by introducing an interaction term for US region into the models. Results: Of 109,034 patients included, 24.3% were from Northeast, 24.9% Midwest, 34.9% South, 15.9% West. Mean (SD) age was 58.6 (15.6) years and 64,245 (58.9%) were female. In-hospital mortality occurred in 21,991 (20.2%) and 44,159 (40.5%) had poor discharge outcome. There was significant variability in severity-of-illness, co-morbidities, complications and interventions across US regions. Notable findings were higher prevalence of surgical clipping (18.8 vs. 11.6%), delayed cerebral ischemia (4.3 vs. 3.1%), seizures (16.5 vs. 14.8%), infections (18 vs. 14.7%), length of stay (mean [SD] days; 15.7 [19.2] vs. 14.1 [16.7]) and health-care direct costs (mean [SD] USD; 80,379 [98,999]. vs. 58,264 [74,430]) in the West when compared to other regions (all p < 0.0001). Variability in care was also associated with modest variability in hospital mortality and discharge outcome. Aneurysm repair, nimodipine use, later admission-year, endovascular rescue therapies reduced the odds for poor outcome. Age, severity-of-illness, co-morbidities, hospital complications, and vasopressor use increased those odds (c-statistic; mortality: 0.77; discharge outcome: 0.81). Regional interaction effect was significant for admission severity-of-illness, aneurysm-repair and nimodipine-use. Discussion: Multiple hospital-care factors impact SAH outcomes and significant variability in hospital-care and modest variability in discharge-outcomes exists across the US. Variability in SAH-severity, nimodipine-use and aneurysm-repair may drive variability in outcomes.

Outcomes of COVID-19 adults managed in an outpatient versus hospital setting.

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic continues to spread globally and as of February 4, 2021, there are more than 26 million confirmed cases and more than 440,000 deaths in the United States (US). A top priority of the Centers for Disease Control and Prevention (CDC) is to identify risk factors for severe COVID-19 illness. The objective of this study was to analyze the characteristics and outcomes of COVID-19 adults who were managed in an outpatient setting compared to patients who required hospitalization at US academic centers. METHODS: Using the Vizient clinical database, Discharge records of adults with a diagnosis of COVID-19 between March 1, 2020 and January 31, 2021 were reviewed. Outcome measures included demographics, characteristics, rate of hospitalization, and mortality, and data were analyzed based on inpatient versus outpatient management. RESULTS: Among COVID-19 adults, 1,360,078 patients were managed in an outpatient setting while 545,635 patients required hospitalization. Compared to hospitalized COVID-19 adults, COVID-19 adults who were managed in an outpatient setting were more likely to be female (56.1% vs 47.5%, p <0.001), white (57.7% vs 54.8%, p <0.001), within younger age group of 18-50 years (p<0.001) and have lower rate of comorbidities. Mortality was significantly lower in outpatient group compared to hospitalized group (0.2% vs 12.2%, respectively, p <0.01%). For outpatient group, mortality increased with increasing age group: 0.02% (52 of 295,112) for patients 18-30 years and 1.2% (1,373 of 117,866) for patients >75 years. The rate of hospitalization was lowest for age group 18-30 years at 10.6% (35,607 of 330,719) and highest for age group >75 years at 56.1% (150,381 of 268,247). CONCLUSION: This analysis of US academic centers showed that 28.6% of COVID-19 adults who sought care at one of the hospitals reporting data to the Vizient clinical database required in-patient treatment. The rate of hospitalization in our study was lowest for the youngest age group of 18-30 years and highest for age group >75 years. Beside older age, other factors associated with outpatient management included female gender, white race, and having commercial insurance.

Association of annual volume and in-hospital outcomes of catheter-directed thrombolysis for pulmonary embolism.

OBJECTIVE: We sought to evaluate the association between the institutional volume of catheter-directed thrombolysis (CDT) for pulmonary embolism and in-hospital mortality. BACKGROUND: CDT is an increasingly utilized therapy in patients with intermediate/high-risk PE. However, data on the relationship between hospital volume and clinical outcomes remain limited. METHODS: Patients who underwent CDT between October 1, 2015, and March 31, 2021, were identified in the Vizient Clinical Database. The primary outcome was in-hospital mortality. Secondary outcome were major complications, length of stay, and cost. Hospitals were dichotomized into <8 and ≥ 8 cases/year following restricted cubic spline analysis. RESULTS: A total of 6741 CDT procedures at 171 hospitals were included with a median annual hospital volume of 4.1 cases (IQR = 1.9-8.3). A total of 44 hospitals (25.7%) were classified as high-volume ( ≥ 8 cases/year) and performed 60.9% of all CDT cases. CDT at high-volume centers was associated with lower in-hospital mortality (6.0% vs. 11.3%; p < 0.0001). Stroke and bleeding rates were similar, but pulmonary complications were more frequent at low-volume centers. CDT at high volume centers was associated with a significantly shorter length of stay and lower cost. The association between high CDT volume and in-hospital mortality persisted after adjustment for demographics (odds ratio [OR] = 0.49, [0.41-0.58]), demographics and risk factors (OR = 0.52 [0.44-0.62]), and demographics, risk factors, and troponin elevation (OR = 0.51 [0.40-0.66]). CONCLUSION: In a large contemporary cohort of patients undergoing CDT in the United States, low annual institutional volume of CDT was associated with higher in-hospital mortality.

Improving Mortality Through a Multihospital, Collaborative Quality Improvement Project.

Improving hospital mortality is a key focus of quality and safety efforts at both the local and national level. Structured interventions can assist organizations in determining whether interventional efforts have led to sustained improvement. The PARiHS framework (Promoting Action on Research Implementation in Health Services) can assist organizations in implementing research into practice. This study investigates the use of the PARiHS framework in implementing a multihospital quality improvement project aimed at improving observed-to-expected mortality as measured by Vizient's Clinical Data Base (CDB). Structured interventions during the study period included mortality reviews, clinical documentation improvement opportunities, educational webinars, training and support in the use of CDB to explore ongoing opportunities for mortality improvement and quarterly reports to each participating hospital's leadership team on their performance. Data were gathered from an improvement collaborative in the Upper Midwest, which comprised 34 hospitals, of which 17 participated in the intervention. Measurement occurred from Quarter 4 2016 through Quarter 3 2020 and consisted of a preintervention, intervention, and postintervention period. Although both participating and nonparticipating hospitals achieved a significant reduction in their mortality observed-to-expected ratio from the preintervention period through the postintervention period, the participating hospitals achieved a greater reduction in their observed-to-expected mortality ratio ( P < 0.0004). In addition, the participating hospitals achieved a relative 21% improvement in the mortality domain rank of the Vizient Quality & Accountability Study.

The impact of the novel coronavirus pandemic on gastrointestinal operative volume in the United States.

BACKGROUND: In March 2020, the Surgeon General recommended limiting elective procedures to prepare for the COVID-19 surge. We hypothesize a consequence of COVID-19 is reduced operative volume across the country. We aim to examine changes in volume of common gastrointestinal operations during COVID-19, including elective, urgent/emergent, and cancer operations. We also evaluate if hospitals with more COVID-19 admissions were most impacted. METHODS: The Vizient database was used to determine monthly operative volume from November 2019 to June 2020 for elective operations (hiatal hernia repairs, bariatric surgery), urgent operations (cholecystectomies, appendectomies, inguinal hernia repairs), and cancer operations (colectomies, gastrectomies, esophagectomies). COVID-19 admissions per hospital were also determined. November 2019-January 2020 was defined as "pre-COVID." The monthly reduction in volume from pre-COVID was calculated for each operation. The top quartile (25%) of hospitals with the most COVID admissions were also evaluated separately from hospitals with fewer COVID cases. Data were analyzed using analysis of variance. RESULTS: Data from 559 hospitals were analyzed. The volumes of all operations evaluated were significantly reduced during the pandemic except gastrectomies and esophagectomies for cancer. The greatest reduction in all operations was in April. In April, the volume of bariatric surgery reduced by 98% (P < 0.001), hiatal hernia repairs by 96% (P < 0.001), urgent cholecystectomies by 42% (P < 0.001), urgent inguinal hernia repairs by 40% (P < 0.001), urgent appendectomies by 24% (P < 0.001), and colectomies for cancer by 39% (P < 0.001). Hospitals with the most COVID-19 admissions had greater reductions in all operations than hospitals with fewer COVID cases. CONCLUSIONS: The coronavirus pandemic led to a significant reduction in volume of all gastrointestinal operations evaluated except gastrectomies and esophagectomies. While elective, non-cancer operations were most affected, urgent and some cancer operations also declined significantly. As COVID-19 continues to surge, Americans may suffer continued limited access to surgical care and a significant operative backlog may be forthcoming.

Outcomes of obese patients hospitalized with COVID-19: the impact of prior bariatric surgery.

BACKGROUND: Obesity and several obesity-related co-morbidities are risk factors for severe COVID-19 disease. Because bariatric surgery successfully treats obesity-related conditions, we hypothesized that prior bariatric surgery may be associated with less severe COVID-19 disease. OBJECTIVES: To examine the association between prior bariatric surgery and outcomes in patients with obesity admitted with COVID-19. SETTING: United States METHODS: The Vizient database was used to obtain demographic and outcomes data for adults with obesity admitted with COVID-19 from May 2020 to January 2021. Patients were divided into 2 groups: those with and those without prior bariatric surgery. The primary outcome was in-hospital mortality. Secondary outcomes were mortality by age, sex, race/ethnicity, and co-morbidity; intubation rate; hemodialysis rate; and length of stay. Because the database only provides aggregate data and not patient-level data, multivariate analysis could not be performed. RESULTS: Among the 124,699 patients with obesity admitted with COVID-19, 2,607 had previous bariatric surgery and 122,092 did not. The proportion of patients ≥65 years of age was higher in the non-bariatric surgery group (36.0% versus 27.6%, P < .0001). Compared with patients without prior bariatric surgery, patients with prior bariatric surgery had lower in-hospital mortality (7.8 versus 11.2%, P < .0001) and intubation rates (18.5% versus 23.6%, P = .0009). Hemodialysis rate (7.2% versus 6.9%, P = .5) and length of stay (8.8 versus 9.6 days, P = .8) were similar between groups. Mortality was significantly lower in the bariatric surgery group for patients 18-64 years of age (5.9% versus 7.4%, P = .01) and ≥65 years of age (12.9% versus 17.9%, P = .0006). CONCLUSIONS: This retrospective cohort study found that inpatients with obesity and COVID-19 who had prior bariatric surgery had improved outcomes compared with a similar cohort without prior bariatric surgery. Further studies should examine mechanisms for the association between bariatric surgery and less severe COVID-19.

Association of Chronic Kidney Disease With In-Hospital Outcomes of Endovascular Stroke Interventions.

BACKGROUND: Data on the differential impact of chronic kidney disease (CKD) on the outcomes of endovascular stroke interventions (ESI) for acute ischemic stroke (AIS) are limited. METHODS: Adult patients who underwent ESI for AIS between October 1st, 2015 and September 30th, 2019, were identified in a national multicenter database. The primary endpoints were in-hospital mortality and poor functional outcomes. Secondary endpoints included intracranial hemorrhage, mechanical ventilation, pneumonia, myocardial infarction, blood transfusion, length of stay, and cost. A multilevel mixed-effects regression model was used to derive adjusted outcomes. RESULTS: A total of 22,193 AIS patients who underwent ESI at 99 centers were included. Among those, 18,881 (85%) had no CKD, and 3312 (15%) had CKD. Patients with CKD were older and had a higher prevalence of key comorbidities. After multivariable risk adjustment, patients with CKD had significantly higher in-hospital mortality (Odds Ratio [OR] 1.55 [95% Confidence Interval] [CI] 1.40-1.73, p < 0.01), and poor functional outcomes (OR 1.38, 95%CI 1.26-1.50, p < 0.01). Major complications, including mechanical ventilation, pneumonia, blood transfusion, and myocardial infarction, were more common among CKD patients, who also had longer hospitalizations and accrued higher cost. CONCLUSION: The presence of CKD in patients with AIS treated with ESI is an independent predictor of in-hospital mortality and poor functional outcomes at discharge.

Trends in Spontaneous Cerebrospinal Fluid Leak Repairs in the United States, 2009-2018.

Background: Rates of spontaneous cerebrospinal fluid leak (sCSF) repairs have increased in recent decades in line with increases in obesity rates. Objectives: To determine if the national rate of sCSF leak has continued to rise in recent years and to identify associated risk factors utilizing a comprehensive national database comprising most academic medical centers. Methods: A retrospective review from 2009 to 2018 was performed using the Vizient Clinical Database (CDB) of 105 leading academic medical centers in the United States. Patients who underwent CSF leak repair in the CDB database using ICD-9 and ICD-10 diagnostic and procedure codes. Patients with epidural hematomas over the same time frame were used as a control. National rates of craniotomy for sCSF leak repair each quarter were assessed and sCSF leak patient characteristics (age, gender, obesity, hypertension, diabetes) were calculated. Results: The rate of craniotomy for all sCSF leak repairs increased by 10.2% annually from 2009 to 2015 (P < 0.0001). There was no statistically significant change in the rate of epidural hematomas over the same period. The rate of lateral sCSF leak repair increased on average by 10.4% annually from 2009 (218 cases/year) to 2018 (457 cases/year) (P < 0.0001). A statistically significant increase was observed across all regions of the United States (P ≤ 0.005). sCSF leak patients had an average (standard deviation) age of 55.0 (13.2) years and 67.2% were female. Obesity was the only demographic factors that increased significantly over time. Likely due to comorbid factors, Black patients comprise a disproportionately large percentage of lateral sCSF leak repair patients. Conclusions: The rate of craniotomy for spontaneous CSF leaks continues to rise by approximately 10% annually.