Implications of Frailty in COVID-19.

As the global coronavirus disease-19 (COVID-19) pandemic caused by severe acute respiratory distress syndrome coronavirus 2 continues to cause higher mortality and hospitalization rates among older adults, strategies such as frailty screening have been suggested for resource allocation and clinical management. Frailty is a physiologic condition characterized by a decreased reserve to stressors and is associated with disability, hospitalization, and death. Measuring frailty can be a useful tool to determine the risk and prognosis of COVID-19 patients in the acute setting, and to provide higher quality of care for vulnerable individuals in the outpatient setting. A literature review was conducted to examine current research regarding frailty and COVID-19. Frailty can inform holistic care of COVID-19 patients, and further investigation is needed to elucidate how measuring frailty should guide treatment and prevention of COVID-19.

The financial impact of the COVID-19 pandemic on sleeve gastrectomy at a major academic institution.

INTRODUCTION: The COVID-19- pandemic significantly impacted metabolic and bariatric surgery (MBS) practices due to large-scale surgery cancellations along with staff and supply shortages. We analyzed sleeve gastrectomy (SG) hospital-level financial metrics before and after the COVID-19 pandemic. METHODS: Hospital cost-accounting software (MicroStrategy, Tysons, VA) was reviewed for revenues, costs, and profits per SG at an academic hospital (2017-2022). Actual figures were obtained, not insurance charge estimates or hospital projections. Fixed costs were obtained through surgery-specific allocation of inpatient hospital and operating-room costs. Direct variable costs were analyzed with sub-components including: (1) labor and benefits, (2) implants, (3) drug costs, and 4) medical/surgical supplies. The pre-COVID-19 period (10/2017-2/2020) and post-COVID-19 period (5/2020-9/2022) financial metrics were compared with student's t-test. Data from 3/2020 to 4/2020 were excluded due to COVID-19-related changes. RESULTS: A total of 739 SG patients were included. Average length of stay (LOS), Center for Medicaid and Medicare Case Mix Index (CMI), and percentage of patients with commercial insurance were similar pre vs. post-COVID-19 (p > 0.05). There were more SG performed per quarter pre-COVID-19 than post-COVID-19 (36 vs. 22; p = 0.0056). Pre-COVID-19 and post-COVID-19 financial metrics per SG differed significantly for, respectively, revenues ($19,134 vs. $20,983) total variable cost ($9457 vs. $11,235), total fixed cost ($2036 vs. $4018), total profit ($7571 vs. $5442), and labor and benefits cost ($2535 vs. $3734; p < 0.05). CONCLUSIONS: The post-COVID-19 period was characterized by significantly increased SG fixed cost (i.e., building maintenance, equipment, overhead) and labor costs (increased contract labor), resulting in precipitous profit decline that crosses the break-even in calendar year quarter (CQ) 3, 2022. Potential solutions include minimizing contract labor cost and decreasing LOS.

Convalescent plasma for COVID-19 in the intensive care unit.

INTRODUCTION: We aimed to investigate the clinical features and mortality of critically ill patients treated with convalescent plasma for COVID-19 in the intensive care unit (ICU). MATERIAL AND METHODS: We retrospectively collected clinical and laboratory data of COVID-19 patients treated in the ICU. The patients were divided into two groups: those who received convalescent plasma and those who did not. We evaluated changes in the laboratory parameters and PaO2/FiO2 of the patients in the convalescent plasma group on days 0, 7, and 14. RESULTS: A total of 188 patients were included, 89 of whom received convalescent plasma. There were no significant differences in length of hospitalization [median: 17 vs. 16 days, P = 0.13] or 28-day mortality between the two groups (59% vs. 65%, P = 0.38). The ICU stay of patients who received convalescent plasma was longer (P = 0.001). The dynamics of the laboratory parameters of 44 patients in the convalescent plasma group, who were still in intensive care on the 14th day, were analysed. There was no differences in CRP or PaO2/FiO2 on day 0, 7 or 14 (P = 0.12; P = 0.10, respectively). CONCLUSIONS: Convalescent plasma treatment was not associated with shorter hospitalisation or lower mortality in patients diagnosed with COVID-19. However, the ICU stay was longer in patients who received convalescent plasma.

Using health administrative data to model associations and predict hospital admissions and length of stay for people with eating disorders.

BACKGROUND: Eating disorders are serious mental illnesses requiring a whole of health approach. Routinely collected health administrative data has clinical utility in describing associations and predicting health outcome measures. This study aims to develop models to assess the clinical utility of health administrative data in adult eating disorder emergency presentations and length of stay. METHODS: Retrospective cohort study on health administrative data in adults with eating disorders from 2014 to 2020 in Sydney Local Health District. Emergency and admitted patient data were collected with all clinically important variables available. Multivariable regression models were analysed to explore associations and to predict admissions and length of stay. RESULTS: Emergency department modelling describes some clinically important associations such as decreased odds of admission for patients with Bulimia Nervosa compared to Anorexia Nervosa (Odds Ratio [OR] 0.31, 95% Confidence Interval [95%CI] 0.10 to 0.95; p = 0.04). Admitted data included more predictors and therefore further significant associations including an average of 0.96 days increase in length of stay for each additional count of diagnosis/comorbidities (95% Confidence Interval [95% CI] 0.37 to 1.55; p = 0.001) with a valid prediction model (R2 = 0.56). CONCLUSIONS: Health administrative data has clinical utility in adult eating disorders with valid exploratory and predictive models describing associations and predicting admissions and length of stay. Utilising health administrative data this way is an efficient process for assessing impacts of multiple factors on patient care and predicting health care outcomes.

Impact of congenital heart disease on outcomes among pediatric patients hospitalized for COVID-19 infection.

BACKGROUND: COVID-19 infection is generally regarded as an acute self-limiting illness in children, but it can cause significant morbidity and mortality in both healthy and high-risk children. There are limited data on the outcomes of children with congenital heart disease (CHD) and COVID-19. This study aimed to examine the risks of mortality, in-hospital cardiovascular and non-cardiovascular complications in this patient population. METHODS: We analyzed data from hospitalized pediatric patients from 2020 using the nationally representative National Inpatient Sample (NIS). Children hospitalized for COVID-19 were included, and weighted data were used to compare in-hospital mortality and morbidities between children with and without CHD. RESULTS: Out of 36,690 children admitted with a diagnosis of COVID-19 infection(ICD-10 code:U07.1 and B97.29) during calendar year 2020, 1240 (3.4%) had CHD. The risk of mortality in children with CHD was not significantly higher than those without CHD(1.2% vs. 0.8%, p = 0.50), with adjusted OR (aOR) of 1.7 (95% CI: 0.6-5.3). Tachyarrhythmias and heart block were more likely in CHD children with an aOR of 4.2 (95% CI: 1.8-9.9) and aOR of 5.0 (95% CI: 2.4-10.8), respectively. Similarly, respiratory failure [aOR = 2.0 (1.5-2.8)], respiratory failure requiring non-invasive mechanical ventilation [aOR = 2.7 (1.4-5.2)] and invasive mechanical ventilation [aOR = 2.6 (1.6-4.0)], and acute kidney injury [aOR = 3.4 (2.2-5.4)] were all significantly higher among patients with CHD. Median length of hospital stay in children with CHD was longer than those without CHD [5 days (IQR: 2-11) vs. 3 days (IQR: 2-5), p = < 0.001]. CONCLUSIONS: Children with CHD hospitalized with COVID-19 infection were at increased risk of serious cardiovascular and non-cardiovascular adverse clinical outcomes. They also had increased length of hospital stay and utilization of healthcare resources.

Evaluation of an Emergency Department-based Palliative Care Extender Program on Hospital and Patient Outcomes.

BACKGROUND: Boston Medical Center (BMC), a safety-net hospital, treated a substantial portion of the Boston cohort that was sick with COVID-19. Unfortunately, these patients experienced high rates of morbidity and mortality given the significant health disparities that many of BMC's patients face. Boston Medical Center launched a palliative care extender program to help address the needs of critically ill ED patients under crisis conditions. In this program evaluation our goal was to assess outcomes between those who received palliative care in the emergency department (ED) vs those who received palliative care as an inpatient or were admitted to an intensive care unit (ICU). METHODS: We used a matched retrospective cohort study design to assess the difference in outcomes between the two groups. RESULTS: A total of 82 patients received palliative care services in the ED, and 317 patients received palliative care services as an inpatient. After controlling for demographics, patients who received palliative care services in the ED were less likely to have a change in level of care (P<0.001) or be admitted to an ICU (P<0.001). Cases had an average length of stay of 5.2 days compared to controls who stayed 9.9 days (P<0.001). CONCLUSION: Within a busy ED environment, initiating palliative care discussions by ED staff can be challenging. This study demonstrates that consulting palliative care specialists early in the course of the patient's ED stay can benefit patients and families and improve resource utilization.

Discharge disposition and clinical outcomes of patients hospitalized with COVID-19.

OBJECTIVES: By better understanding the long-term effects of COVID-19 and assessing rehabilitation placement among the patients in our study, we hope to determine the predictors of rehabilitation needs in individuals suffering from the long-term sequelae of COVID-19. METHODS: A retrospective chart review was performed of adult patients with a positive COVID-19 polymerase chain reaction test among multiple hospitals in a regional health system. The main outcomes measured were discharge disposition, total length of hospital stay, and overall all-cause mortality and readmission rates within 30 and 90 days of discharge. RESULTS: Of the 2502 patients included in the study, we found that 65.2% were discharged to home, while the remaining patients were discharged to home healthcare (33.6%), skilled nursing facilities (31.7%), or long-term acute rehabilitation centers (11.6%). The overall all-cause mortality rate at 30 and 90 days were 2.7% and 4.4%, respectively. The overall all-cause 30-day and 90-day readmission rates were 7.0% and 7.6%, respectively. CONCLUSION: Younger age and shorter hospitalization stays were the most important predictors of home discharge. Discharge to home was also significantly associated with lower all-cause mortality rates at 30 and 90 days after discharge.

The length of hospital stays and clinical and therapeutic characteristics of patients with COVID-19 early in the pandemic in Taif City, KSA: A retrospective study.

The coronavirus disease-2019 (COVID-19) pandemic is unprecedented in the healthcare sector worldwide. This retrospective study focused on the length of hospital stay and clinical and therapeutic characteristics of patients with COVID-19. Retrospective data of severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) positive patients were collected between March 12 and June 30, 2020, and categorized into mild, moderate, and severe disease groups based on symptoms and severity of COVID-19. A total of 843 SARS-COV-2-positive patients were identified in this study (mildly symptomatic, 132; moderately symptomatic, 168; severely symptomatic, 17). The mean lengths (days) of hospital stay of Groups 1 to 8 were 16.38, 13.18, 13.72, 9.30, 6.96, 10.86, 5.77, and 7.37, respectively. Treatment Group 1 had the highest mean. In the treatment group, 7 patients who were not treated had the shortest stay. The patients with heart failure and Group 1 received antiviral, antimalarial, and antibiotic therapy; patients in Group 3 received antimalarial and antibiotic therapy; patients in Group 4 received antiviral and antibiotic therapy were tended to have a longer hospital stay. The length of hospital stay and clinical and therapeutic characteristics are crucial indicators of pandemic management, a shorter hospital stay is a positive outcome of better COVID-19 management.

Trends in management and outcomes of COVID patients admitted to a Swiss tertiary care hospital.

Two successive COVID-19 flares occurred in Switzerland in spring and autumn 2020. During these periods, therapeutic strategies have been constantly adapted based on emerging evidence. We aimed to describe these adaptations and evaluate their association with patient outcomes in a cohort of COVID-19 patients admitted to the hospital. Consecutive patients admitted to the Geneva Hospitals during two successive COVID-19 flares were included. Characteristics of patients admitted during these two periods were compared as well as therapeutic management including medications, respiratory support strategies and admission to the ICU and intermediate care unit (IMCU). A mutivariable model was computed to compare outcomes across the two successive waves adjusted for demographic characteristics, co-morbidities and severity at baseline. The main outcome was in-hospital mortality. Secondary outcomes included ICU admission, Intermediate care (IMCU) admission, and length of hospital stay. A total of 2'983 patients were included. Of these, 165 patients (16.3%, n = 1014) died during the first wave and 314 (16.0%, n = 1969) during the second (p = 0.819). The proportion of patients admitted to the ICU was lower in second wave compared to first (7.4 vs. 13.9%, p < 0.001) but their mortality was increased (33.6% vs. 25.5%, p < 0.001). Conversely, a greater proportion of patients was admitted to the IMCU in second wave compared to first (26.6% vs. 22.3%, p = 0.011). A third of patients received lopinavir (30.7%) or hydroxychloroquine (33.1%) during the first wave and none during second wave, while corticosteroids were mainly prescribed during second wave (58.1% vs. 9.1%, p < 0.001). In the multivariable analysis, a 25% reduction of mortality was observed during the second wave (HR 0.75; 95% confidence interval 0.59 to 0.96). Among deceased patients, 82.3% (78.2% during first wave and 84.4% during second wave) died without beeing admitted to the ICU. The proportion of patients with therapeutic limitations regarding ICU admission increased during the second wave (48.6% vs. 38.7%, p < 0.001). Adaptation of therapeutic strategies including corticosteroids therapy and higher admission to the IMCU to receive non-invasive respiratory support was associated with a reduction of hospital mortality in multivariable analysis, ICU admission and LOS during the second wave of COVID-19 despite an increased number of admitted patients. More patients had medical decisions restraining ICU admission during the second wave which may reflect better patient selection or implicit triaging.

Predictors of prolonged hospitalization of COVID-19 patients.

PURPOSE: Despite the importance of hospital bed network during the pandemic, there are scarce data available regarding factors predictive of prolonged length of hospitalization of COVID-19 patients. METHODS: We retrospectively analyzed a total of 5959 consecutive hospitalized COVID-19 patients in period 3/2020-6/2021 from a single tertiary-level institution. Prolonged hospitalization was defined as hospital stay > 21 days to account for mandatory isolation period in immunocompromised patients. RESULTS: Median length of hospital stay was 10 days. A total of 799 (13.4%) patients required prolonged hospitalization. Factors that remained independently associated with prolonged hospitalization in multivariate analysis were severe or critical COVID-19 and worse functional status at the time of hospital admission, referral from other institutions, acute neurological, acute surgical and social indications for admission vs admission indication of COVID-19 pneumonia, obesity, chronic liver disease, hematological malignancy, transplanted organ, occurrence of venous thromboembolism, occurrence of bacterial sepsis and occurrence of Clostridioides difficile infection during hospitalization. Patients requiring prolonged hospitalization experienced higher post-hospital discharge mortality (HR = 2.87, P < 0.001). CONCLUSIONS: Not only severity of COVID-19 clinical presentation but also worse functional status, referral from other hospitals, certain indications for admission, certain chronic comorbidities, and complications that arise during hospital stay independently reflect on the need of prolonged hospitalization. Development of specific measures aimed at improvement of functional status and prevention of complications might reduce the length of hospitalization.

Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs.

OBJECTIVE: Clinical encounter data are heterogeneous and vary greatly from institution to institution. These problems of variance affect interpretability and usability of clinical encounter data for analysis. These problems are magnified when multisite electronic health record (EHR) data are networked together. This article presents a novel, generalizable method for resolving encounter heterogeneity for analysis by combining related atomic encounters into composite "macrovisits." MATERIALS AND METHODS: Encounters were composed of data from 75 partner sites harmonized to a common data model as part of the NIH Researching COVID to Enhance Recovery Initiative, a project of the National Covid Cohort Collaborative. Summary statistics were computed for overall and site-level data to assess issues and identify modifications. Two algorithms were developed to refine atomic encounters into cleaner, analyzable longitudinal clinical visits. RESULTS: Atomic inpatient encounters data were found to be widely disparate between sites in terms of length-of-stay (LOS) and numbers of OMOP CDM measurements per encounter. After aggregating encounters to macrovisits, LOS and measurement variance decreased. A subsequent algorithm to identify hospitalized macrovisits further reduced data variability. DISCUSSION: Encounters are a complex and heterogeneous component of EHR data and native data issues are not addressed by existing methods. These types of complex and poorly studied issues contribute to the difficulty of deriving value from EHR data, and these types of foundational, large-scale explorations, and developments are necessary to realize the full potential of modern real-world data. CONCLUSION: This article presents method developments to manipulate and resolve EHR encounter data issues in a generalizable way as a foundation for future research and analysis.

Factors Affecting the Length of Stay in the Emergency Department in Psychiatric Emergency Patients in the COVID-19 Pandemic Context.

To reduce overcrowding in emergency departments (ED), which is a serious international problem, it is important to reduce the length of ED stay (ED LOS) of emergency patients. In particular, due to the COVID 19 pandemic, psychiatric emergency patients spent much longer in ED. This study was conducted to identify the characteristics of psychiatric emergency patients who visited the ED during the COVID-19 pandemic and to identify factors affecting ED LOS. This retrospective study was conducted on adult patients aged 19 years or older who visited a psychiatric emergency center operated by an ED from 1 May 2020 to 31 April 2021 because of the COVID-19 pandemic. In this study, the average ED LOS of psychiatric emergency patients was 7.8 h. Factors affecting ED LOS for over 12 h were isolation (OR = 2.39, CI = 1.409-4.052), unaccompanied police officers (OR = 2.106, CI = 1.338-3.316), night-time visits (OR = 2.127, CI = 1.357-3.332), use of sedatives (OR = 1.671, CI = 1.030-2.713), and restraints (OR = 1.968, CI = 1.172-4.895). The ED LOS of psychiatric emergency patients is longer than that of general emergency patients, and a long ED LOS causes ED overcrowding. To reduce the ED LOS of psychiatric emergency patients, they must be accompanied by a police officer when visiting the ED, and the treatment process should be reorganized so that a psychiatrist can promptly intervene. Furthermore, it is necessary to reorganize the isolation guidelines and admission criteria for mental emergency patients.

Necessity of mandatory postoperative intensive care unit management after clipping surgery for unruptured intracranial aneurysms.

OBJECTIVE: Many neurosurgeons routinely perform postoperative intensive care unit (ICU) management after clipping of unruptured intracranial aneurysms (UIAs). However, whether routine postoperative ICU care is necessary remains a clinical question. Therefore, we investigated which factors acted as risk factors that actually required ICU care after microsurgical clipping of unruptured aneurysms. METHODS: We included a total of 532 patients who underwent clipping surgery for UIA between January 2020 and December 2020. The patients were divided into two groups: those who really required ICU care (41 patients, 7.7%) and those who did not (491 patients, 92.3%). A backward stepwise logistic regression model was used to identify factors that were independently associated with ICU care requirement. RESULTS: The mean hospital stay duration and the operation time were significantly longer in the ICU requirement group than in the no ICU requirement group (9.9 ± 10.7 vs. 6.3 ± 3.7 days, p = 0.041), (259.9 ± 128.4 vs. 210.5 ± 46.1 min, p = 0.019). The transfusion rate was significantly higher (p = 0.024) in the ICU requirement group. Multivariable logistic regression analysis identified male sex (odds ratio [OR], 2.34; 95% confidence interval [CI], 1.15-4.76; p = 0.0195), operation time (OR, 1.01; 95% CI, 1.00-1.01; p = 0.0022), and transfusion (OR, 2.35; 95% CI, 1.00-5.51; p = 0.0500) as independent risk factors for requiring ICU care after clipping. CONCLUSIONS: Postoperative ICU management may not be mandatory after clipping surgery for UIAs. Our results suggest that postoperative ICU management may be more required in the male sex, patients with longer operation times, and those who received a transfusion.

Medicare Skilled Nursing Facility Use and Spending Before and After Introduction of the Public Health Emergency Waiver During the COVID-19 Pandemic.

Importance: In response to the COVID-19 pandemic, Medicare introduced a public health emergency (PHE) waiver in March 2020, removing a 3-day hospitalization requirement before fee-for-service beneficiaries could receive skilled nursing facility (SNF) care benefits. Objective: To assess whether there were changes in SNF episode volume and Medicare spending on SNF care before and during the PHE among long-term care (LTC) residents and other Medicare beneficiaries. Design, Setting, and Participants: This retrospective cohort study used Medicare fee-for-service claims and the Minimum Data Set for Medicare beneficiaries who were reimbursed for SNF care episodes from January 2018 to September 2021 in US SNFs. Exposures: The prepandemic period (January 2018-February 2020) vs the PHE period (March 2020-September 2021). Main Outcomes and Measures: The main outcomes were SNF episode volume, characteristics, and costs. Episodes were defined as standard (with a preceding 3-day hospitalization) or waiver (with other or no acute care use). Results: Skilled nursing facility care was provided to 4 299 863 Medicare fee-for-service beneficiaries. Medicare beneficiaries had on average 130 400 monthly SNF episodes in the prepandemic period (mean [SD] age of beneficiaries, 78.9 [11.0] years; 59% female) and 108 575 monthly episodes in the PHE period (mean [SD] age of beneficiaries, 79.0 [11.1] years; 59% female). All waiver episodes increased from 6% to 32%, and waiver episodes without preceding acute care increased from 3% to 18% (from 4% to 49% among LTC residents). Skilled nursing facility episodes provided for LTC residents increased by 77% (from 15 538 to 27 537 monthly episodes), primarily due to waiver episodes provided for residents with COVID-19 in 2020 and early 2021 (62% of waiver episodes without preceding acute care). Skilled nursing facilities in the top quartile of waiver episodes were more often for-profit (80% vs 68%) and had lower quality ratings (mean [SD] overall star rating, 2.7 [1.4] vs 3.2 [1.4]; mean [SD] staffing star rating, 2.5 [1.1] vs 3.0 [1.2]) compared with SNFs in the other quartiles. Monthly Medicare spending on SNF care was $2.1 billion before the pandemic and $2.0 billion during the PHE. For LTC residents, monthly SNF spending increased from $301 million to $585 million while spending on hospitalizations remained relatively stable. Conclusions and Relevance: This cohort study found that the PHE waiver for SNF care was associated with a marked increase in the prevalence of SNF episodes without a preceding hospitalization, especially in the first year of the COVID-19 pandemic. The waiver was used primarily among certain types of facilities and for LTC residents with COVID-19. Although the effect of the waiver cannot be differentiated from that of the pandemic, overall SNF care costs did not increase substantially; for LTC residents, the waiver was applied primarily for COVID-19 care, suggesting the waiver's successful implementation.

Five Level Triage vs. Four Level Triage in a Quaternary Emergency Department: National Analysis on Waiting Time, Validity, and Crowding-The CREONTE (Crowding and RE-Organization National TriagE) Study Group.

Background and Objectives: Triage systems help provide the right care at the right time for patients presenting to emergency departments (EDs). Triage systems are generally used to subdivide patients into three to five categories according to the system used, and their performance must be carefully monitored to ensure the best care for patients. Materials and Methods: We examined ED accesses in the context of 4-level (4LT) and 5-level triage systems (5LT), implemented from 1 January 2014 to 31 December 2020. This study assessed the effects of a 5LT on wait times and under-triage (UT) and over-triage (OT). We also examined how 5LT and 4LT systems reflected actual patient acuity by correlating triage codes with severity codes at discharge. Other outcomes included the impact of crowding indices and 5LT system function during the COVID-19 pandemic in the study populations. Results: We evaluated 423,257 ED presentations. Visits to the ED by more fragile and seriously ill individuals increased, with a progressive increase in crowding. The length of stay (LOS), exit block, boarding, and processing times increased, reflecting a net raise in throughput and output factors, with a consequent lengthening of wait times. The decreased UT trend was observed after implementing the 5LT system. Conversely, a slight rise in OT was reported, although this did not affect the medium-high-intensity care area. Conclusions: Introducing a 5LT improved ED performance and patient care.

The impact of chronic rhinosinusitis on COVID-19 risk and outcomes: A systematic review and meta-analysis.

Background: The impact of chronic rhinosinusitis (CRS) and subsequent steroid therapy on acquiring COVID-19 and severe outcomes remains controversial. Therefore, we conducted this systematic review and meta-analysis to provide cumulative evidence regarding the risk of COVID-19 and the impact of steroid therapy, length of hospital stay, mechanical ventilation, and mortality among CRC patients. Methods: We conducted a comprehensive electronic search strategy using the relevant keywords. The outcomes and risk factors of COVID-19 in CRS patients was estimated and compared to a healthy control group when applicable. Results: A total of seven studies were included, with an estimated prevalence of 6.5% (95% confidence interval (CI): 2.5-15.7) for COVID-19 in the CRS group. COVID-19 prevalence did not differ between CRS and controls (odds ratio (OR): 0.92; 95%CI: 0.84-1.01; p = 0.08). Moreover, using steroid/immunosuppressive therapy did not significantly increase the risk of acquiring COVID-19 in CRS patients compared to the control group (OR: 3.31; 95%CI: 0.72-15.26; p = 0.12). Length of hospital stay, mechanical ventilation, and mortality rates were comparable between the two groups. Furthermore, we found that male sex, cardiovascular morbidity, renal diseases, and hypertension were inversely associated with COVID-19 infection (p < 0.01). Conclusion: CRS had a neutral effect on acquiring COVID-19 and developing severe outcomes. However, further studies are needed.

Predictive value of multiple variable models including nutritional risk score (NRS 2002) on mortality and length of stay of patients with covid-19 infections. The INCOVO study.

BACKGROUND AND AIMS: This study aimed at evaluating associations between nutritional status and outcomes in patients with Covid-19 and to identify statistical models including nutritional parameters associated with in-hospital mortality and length of stay. METHODS: Data of 5707 adult patients hospitalized in the University Hospital of Lausanne between March 2020 and March 2021 were screened retrospectively 920 patients (35% female) with confirmed Covid-19 and complete data including nutritional risk score (NRS 2002), were included. This cohort was divided into three subgroups: NRS <3: no risk of malnutrition; NRS ≥3 to <5: moderate risk malnutrition; and NRS ≥5: severe risk of malnutrition. The primary outcome was the percentage of in-hospital deaths in the different NRS subgroups. The secondary outcomes were the length of hospital stay (LOS), the percentage of admissions to intensive care units (ICU), and the length of stay in the ICU (ILOS). Logistic regression was performed to identify risk factors associated with in-hospital mortality and hospital stay. Multivariate clinical-biological models were developed to study predictions of mortality and very long length of stay. RESULTS: The mean age of the cohort was 69.7 years. The death rate was 4 times higher in the subgroup with a NRS ≥ 5 (44%), and 3 times higher with a NRS ≥ 3 to <5 (33%) compared to the patients with a NRS<3 (10%) (p < 0.001). LOS was significantly higher in the NRS ≥ 5 and NRS ≥ 3 to <5 subgroups (26.0 days; CI [21; 30.9]; and 24.9; CI [22.5; 27.1] respectively) versus 13.4; CI [12; 14.8] for NRS<3 (p < 0.001). The mean ILOS was significantly higher in the NRS ≥ 5 (5.9 days; versus 2.8 for NRS ≥ 3 to <5, and 1.58 for NRS<3 (p < 0.001)). In logistic regression, NRS ≥ 3 was significantly associated with the risk of mortality (OR: 4.8; CI [3.3; 7.1]; p < 0.001) and very long in-hospital stay (>12 days) (OR: 2.5; CI [1.9; 3.3]; p < 0.001). Statistical models that included a NRS ≥ 3 and albumin revealed to be strong predictors for mortality and LOS (area under the curve 0.800 and 0.715). CONCLUSION: NRS was found to be an independent risk factor for in-hospital death and LOS in hospitalized Covid-19 patients. Patients with a NRS ≥ 5 had a significant increase in ILOS and mortality. Statistical models including NRS are strong predictors for an increased risk of death and LOS.

Delivering Safe Surgical Care While Simultaneously Caring for Patients With COVID-19; Assessment of Patient Selection, Volume and Outcomes in a Tertiary Care Hospital.

Objectives: Compare patient selection and postoperative outcomes after surgical treatment for gastrointestinal disorders before and during the SARS-CoV-2 pandemic. Methods: We assessed gastrointestinal surgeries conducted at a tertiary center from 2017-2021 for differences in patient populations and procedures before (up to February 2020) and during the pandemic (March 2020 to December 2021). We analyzed mortality, Intensive Care Unit (ICU) length of stay, admission to ICU and postoperative complications for complex procedures using descriptive statistics and regression models. Results: 7309 procedures were analyzed, showing a caseload reduction in March and October 2020, but no statistical evidence for fewer overall procedures overall. Population characteristics differed with lower Body Mass Indices in 2020 and 2021, more patients smoking and with diabetes treated in 2020. There was no increased mortality, ICU length of stay and in 1,144 complex procedures assessed low overall morbidity at 90 days postoperative. Conclusion: Delivering surgical care while treating patients for COVID-19 in the same hospital was safe. Healthcare officials should consider continuing surgical care during future health crises as consequences of limiting surgical treatment for gastrointestinal disorders may be fatal for patients.

Changes in Urologic Cancer Surgical Volume and Length of Stay During the COVID-19 Pandemic in Pennsylvania.

Importance: Disruptions in cancer surgery during the COVID-19 pandemic led to widespread deferrals and cancellations, creating a surgical backlog that presents a challenge for health care institutions moving into the recovery phase of the pandemic. Objective: To describe patterns in surgical volume and postoperative length of stay for major urologic cancer surgery during the COVID-19 pandemic. Design, Setting, and Participants: This cohort study identified 24 001 patients 18 years or older from the Pennsylvania Health Care Cost Containment Council database with kidney cancer, prostate cancer, or bladder cancer who received a radical nephrectomy, partial nephrectomy, radical prostatectomy, or radical cystectomy between the first quarter (Q1) of 2016 and Q2 of 2021. Postoperative length of stay and adjusted surgical volumes were compared before and during the COVID-19 pandemic. Main Outcomes and Measures: The primary outcome was adjusted surgical volume for radical and partial nephrectomy, radical prostatectomy, and radical cystectomy during the COVID-19 pandemic. The secondary outcome was postoperative length of stay. Results: A total of 24 001 patients (mean [SD] age, 63.1 [9.4] years; 3522 women [15%], 19 845 White patients [83%], 17 896 living in urban areas [75%]) received major urologic cancer surgery between Q1 of 2016 and Q2 of 2021. Of these, 4896 radical nephrectomy, 3508 partial nephrectomy, 13 327 radical prostatectomy, and 2270 radical cystectomy surgical procedures were performed. There were no statistically significant differences in patient age, sex, race, ethnicity, insurance status, urban or rural status, or Elixhauser Comorbidity Index scores between patients who received surgery before and patients who received surgery during the pandemic. For partial nephrectomy, a baseline of 168 surgeries per quarter decreased to 137 surgeries per quarter in Q2 and Q3 of 2020. For radical prostatectomy, a baseline of 644 surgeries per quarter decreased to 527 surgeries per quarter in Q2 and Q3 of 2020. However, the likelihood of receiving radical nephrectomy (odds ratio [OR], 1.00; 95% CI, 0.78-1.28), partial nephrectomy (OR, 0.99; 95% CI, 0.77-1.27), radical prostatectomy (OR, 0.85; 95% CI, 0.22-3.22), or radical cystectomy (OR, 0.69; 95% CI, 0.31-1.53) was unchanged. Length of stay for partial nephrectomy decreased from baseline by a mean of 0.7 days (95% CI, -1.2 to -0.2 days) during the pandemic. Conclusions and Relevance: This cohort study suggests that partial nephrectomy and radical prostatectomy surgical volume decreased during the peak waves of COVID-19, as did postoperative length of stay for partial nephrectomy.