30-day Inpatient Mortality Research Articles

The Burden of Seasonal Influenza and Its Potential Complications Among Older Japanese Adults: A Real-World Database Study.

Seasonal influenza may lead to severe complications, including respiratory and cardiovascular disease, that result in considerable healthcare resource utilization (HCRU) and mortality, particularly in older individuals. This real-world study assessed the burden of influenza and its potential complications in older Japanese adults. This retrospective claims database analysis (April 2015 to June 2019) included insured individuals aged ≥ 60 years at the start of four consecutive influenza seasons in Japan (October 1 to April 30). The primary endpoint was the incidence of influenza-related emergency room (ER) and outpatient visits, the incidence of hospitalizations, the probability of 30-day inpatient mortality, and 60-day medical costs of influenza or its potential complications. Of 8,974,708 individuals (43.2% male, mean ± standard deviation age 73.8 ± 8.9 years), 370,430 (4.13%) were diagnosed with influenza. Overall, 17.18 (95% confidence interval [CI] 16.32-18.04) and 3893.53 (3880.87-3906.19) per 100,000 individuals had influenza-related ER and outpatient visits, respectively, and 181.50 (178.71-184.28) per 100,000 individuals were hospitalized for influenza. The incidence of influenza-related ER visits and hospitalizations for influenza or potential complications and the probability of 30-day inpatient mortality increased with age. Seasonal influenza and its potential complications represent a substantial burden that increases with age in Japanese individuals.

Early versus delayed necrosectomy in pancreatic necrosis: A population-based cohort study on readmission, healthcare utilization, and in-hospital mortality.

Acute necrotizing pancreatitis is a severe and life-threatening condition. It poses a considerable challenge for clinicians due to its complex nature and the high risk of complications. Several minimally invasive and open necrosectomy procedures have been developed. Despite advancements in treatment modalities, the optimal timing to perform necrosectomy lacks consensus. To evaluate the impact of necrosectomy timing on patients with pancreatic necrosis in the United States. A national retrospective cohort study was conducted using the 2016-2019 Nationwide Readmissions Database. Patients with non-elective admissions for pancreatic necrosis were identified. The participants were divided into two groups based on the necrosectomy timing: The early group received intervention within 48 hours, whereas the delayed group underwent the procedure after 48 hours. The various intervention techniques included endoscopic, percutaneous, or surgical necrosectomy. The major outcomes of interest were 30-day readmission rates, healthcare utilization, and inpatient mortality. A total of 1309 patients with pancreatic necrosis were included. After propensity score matching, 349 cases treated with early necrosectomy were matched to 375 controls who received delayed intervention. The early cohort had a 30-day readmission rate of 8.6% compared to 4.8% in the delayed cohort (P = 0.040). Early necrosectomy had lower rates of mechanical ventilation (2.9% vs 10.9%, P < 0.001), septic shock (8% vs 19.5%, P < 0.001), and in-hospital mortality (1.1% vs 4.3%, P = 0.01). Patients in the early intervention group incurred lower healthcare costs, with median total charges of $52202 compared to $147418 in the delayed group. Participants in the early cohort also had a relatively shorter median length of stay (6 vs 16 days, P < 0.001). The timing of necrosectomy did not significantly influence the risk of 30-day readmission, with a hazard ratio of 0.56 (95% confidence interval: 0.31-1.02, P = 0.06). Our findings show that early necrosectomy is associated with better clinical outcomes and lower healthcare costs. Delayed intervention does not significantly alter the risk of 30-day readmission.

The Precision Resuscitation With Crystalloids in Sepsis (PRECISE) Trial

Intravenous fluids are an essential part of treatment in sepsis, but there remains clinical equipoise on which type of crystalloid fluids to use in sepsis. A previously reported sepsis subphenotype (ie, group D) has demonstrated a substantial mortality benefit from balanced crystalloids compared with normal saline. To test the hypothesis that targeting balanced crystalloids to patients with group D sepsis through an electronic health record (EHR) alert will reduce 30-day inpatient mortality. The Precision Resuscitation With Crystalloids in Sepsis (PRECISE) trial is a parallel-group, multihospital, single-blind, pragmatic randomized clinical trial to be conducted at 6 hospitals in the Emory Healthcare system. Patients with suspicion of group D infection in whom a clinician initiates an order for normal saline in the emergency department (ED) or intensive care unit (ICU) will be randomized to usual care and intervention arms. An EHR alert that appears in the ED and ICUs to nudge clinicians to use balanced crystalloids instead of normal saline. The primary outcome is 30-day inpatient mortality. Secondary outcomes are ICU admission, in-hospital mortality, receipt of vasoactive drugs, receipt of new kidney replacement therapy, and receipt of mechanical ventilation (vasoactive drugs, kidney replacement therapy, and mechanical ventilation are counted if they occur after randomization and within the 30-day study period). Intention-to-treat analysis will be conducted. The PRECISE trial may be one of the first precision medicine trials of crystalloid fluids in sepsis. Using routine vital signs (temperature, heart rate, respiratory rate, and blood pressure), available even in low-resource settings, a validated machine learning algorithm will prospectively identify and enroll patients with group D sepsis who may have a substantial mortality reduction from used of balanced crystalloids compared with normal saline. On finalizing participant enrollment and analyzing the data, the study's findings will be shared with the public through publication in a peer-reviewed journal. With use of a validated machine learning algorithm, precision resuscitation in sepsis could fundamentally redefine international standards for intravenous fluid resuscitation. ClinicalTrials.gov Identifier: NCT06253585.

Are our patients becoming more complex? Trends in comorbidity and functional dependence in General Medicine 2011-2019.

Anecdotally, patients don't seem to be more unwell than they were 10 years ago, yet they still seem more 'complex'. The aim of this study was to use an objective measure to assess the trend in complexity of general medicine patients over a 9-year period. Complexity was pragmatically defined as a composite of comorbidity plus dependence/frailty. We selected 100 consecutive patients discharged from General Medicine at Monash Medical Centre (a tertiary hospital in Melbourne, Australia) in the month of April of each year from 2011 to 2019. For each patient, we retrospectively calculated their burden of comorbidity and their degree of dependency/frailty. Comorbidity was measured using the Charlson Comorbidity Index (CCI), and dependence/frailty was assessed using the Katz Index of Independence in Activities of Daily Living (Katz ADL) and the Braden Scale (BS). The BS is a pressure injury risk assessment tool. Additional demographic data were collected, including length of stay, admission and discharge residence, 30-day readmission rate and inpatient mortality. There was no statistically significant change in the CCI or the Katz ADL. The median BS did however significantly decrease from 19 in 2011 to 16 in 2019 (P = 0.006), reflecting an increased risk of pressure injuries. Despite a stable level of comorbidity, our finding of a decreasing BS score may suggest that patients are becoming more dependent. This increase in dependency rather than a change in chronic disease burden may be the cause of apparent increasing patient complexity.

Using Electronic Health Record Mortality Data to Promote Goals-of-Care Discussions in Seriously Ill Transferred Patients: A Pilot Study

Abstract Background Mortality prediction data may aid in identifying seriously ill transferred patients at high risk of dying and facilitate early goals-of-care discussions (GOCD); however, this is rarely evaluated. We recently developed a model for predicting 30-day inpatient mortality, which may be useful for promoting early GOCD. Objectives Our objectives were to examine the effects of sharing model-generated mortality risk with hospitalists by assessing (1) if hospitalists agreed with the mortality risk prediction, (2) if they planned to conduct GOCD or consult palliative care within 72 hours of transfer, and (3) if the communication alert affected GOCD timing and other clinical outcomes. We also aimed to measure the association between both the model-generated and hospitalists' stratified risk assessments with patient mortality. Methods This was a nonrandomized quasi-experimental pilot study with a historical control group. On the second day of hospitalization, the model-generated risk was communicated to the hospitalists. Hospitalists were asked to answer questions via a HIPAA (Health Insurance Portability and Accountability Act)-compliant mobile communication system, and clinical outcomes were extracted via chart review. Results Eighty-four patients (42 in the control and 42 in the intervention group) were included in this study. Hospitalists agreed that all patients in the intervention group were at risk for inpatient mortality. Hospitalists were more likely to indicate a plan to conduct GOCD in the intervention group (n = 9) compared with the control group (n = 4, p &lt; 0.001). In this subset of patients, GOCD was completed within 72 hours in 78% of intervention patients (n = 7) as compared with 50% in the control group (n = 2). The greater absolute value of the model-generated mortality risk was significantly associated with deaths (p = 0.01), similar to the hospitalists' prediction of the mortality risk (p = 0.02). Conclusion Communicating model-generated mortality risk to hospitalists is a promising approach to promote timely GOCD.

Inpatient outcomes of patients with new solid tumors admitted to a comprehensive cancer center.

e23056 Background: Hospitalized cancer patients demonstrate multiple challenges including management of acute illnesses, establishment of the cancer diagnosis, creation of a goal concordant care plan, and post-hospital disposition. Yet, there has been limited research regarding characteristics and outcomes of new to hospital oncology patients. Methods: We performed a retrospective chart review of patients with suspicion or confirmed solid tumor cancer diagnosis who were admitted without an established MD Anderson Cancer Center oncologist. We assessed length of stay, ICU utilization, 30-day readmission rate, inpatient mortality, and discharge disposition. We compared the results to our group’s established oncology patients. Statistical analysis was performed using Chi-squared testing. Results: Between November 2022 and January 2023, 201 unique new patients were reviewed out of 1635 admissions. Of those 103 (51.2%) were males, median age of 60 (range: 22-79), White including Hispanics 118 (59%), African Americans 46 (23%), others 33 (18%). Of the study population, 88 (43.8%) did not have a confirmed cancer diagnosis, of which we established a cancer diagnosis in 68 (77.3%) and ruled out cancer in 8 (4%). Of the 113 (56.2%) diagnosed at outside facilities, 63 (55.8%) were treatment naive and 22 (19.4%) had their cancer diagnosis revised. Of 175 patients which had staging information, 150 (85.7%) were stage 4. During the index admission, 45 (22.4%) patients had cancer-directed therapy. The average and geometric mean length of stay (days) for new patients was 12.1 and 8.8, respectively, compared to the established group of 8.2 and 6.1 (p &lt; 0.001). Inpatient mortality was higher in new patients (10.5% vs 6.8%, p &lt; 0.001) and they were more likely to be referred to hospice services (17.4% vs 8.3%, p &lt; 0.001). Furthermore, hospice referral was higher in the unestablished, previously treated group compared to treatment naive patients (28% vs 13.9%, p = 0.003), however inpatient mortality was similar (12% vs 9.9%, p = 0.63). ICU stay, 30-day readmission rate, discharge to home vs placement were similar in new and established patients (Table 1). Conclusions: Admitted new oncology patients typically present with advanced disease and had longer length of stay, mortality rates, and hospice referrals compared to established patients. Further research is needed to identify and improve care barriers to new inpatients, focusing on improving workflow process and timely goal concordant care discussions. [Table: see text]

Effects of the nursing practice environment, nurse staffing, patient surveillance and escalation of care on patient mortality: A multi-source quantitative study

BackgroundA favourable nursing practice environment and adequate nurse staffing have been linked to reduced patient mortality. However, the contribution of nursing care processes such as patient surveillance and escalation of care, on patient mortality is not well understood. ObjectiveThe aim of this study was to investigate the effect of the nursing practice environment, nurse staffing, missed care related to patient surveillance and escalation of care on 30-day inpatient mortality. DesignA multi-source quantitative study including a cross-sectional survey of nurses, and retrospective data extracted from an audit of medical and admission records. Setting(s)A large tertiary teaching hospital (600 beds) in metropolitan Sydney, Australia. MethodsData on the nursing practice environment, nurse staffing and missed care were obtained from the nursing survey. Patient deterioration data and patient outcome data were collected from the medical and admission records respectively. Logistic regression models were used to examine the association between the nursing practice environment, patient deterioration and 30-day inpatient mortality accounting for clustering of episodes within patients using generalised estimating equations. ResultsSurveys were completed by 304 nurses (84.5 % female, mean age 34.4 years, 93.4 % Registered Nurses) from 16 wards. Patient deterioration data was collected for 30,011 patient deterioration events and 63,847 admitted patient episodes of care. Each additional patient per nurse (OR = 1.22, 95 % CI = 1.04–1.43) and the presence of increased missed care for patient surveillance (OR = 1.13, 95 % CI = 1.03–1.23) were associated with higher risk of 30-day inpatient mortality. The use of a clinical emergency response system reduced the risk of mortality (OR = 0.82, 95 % CI = 0.76–0.89). A sub-group analysis excluding aged care units identified a 38 % increase in 30-day inpatient mortality for each additional patient per nurse (OR = 1.38, 95 % CI = 1.15–1.65). The nursing practice environment was also significantly associated with mortality (OR = 0.79, 95 % CI: 0.72–0.88) when aged care wards were excluded. ConclusionsPatient mortality can be reduced by increasing nurse staffing levels and improving the nursing practice environment. Nurses play a pivotal role in patient safety and improving nursing care processes to minimise missed care related to patient surveillance and ensuring timely clinical review for deteriorating patients reduces inpatient mortality. Tweetable abstractPatient mortality can be reduced by improving the nursing practice environment & increasing the number of nurses so that nurses have more time to monitor patients. Investing in nurses results in lower mortality and better outcomes. #PatientSafety #NurseStaffing #WorkEnvironment #Mortality.

Clinical, radiological, and laboratory factors associated with mortality and functional outcomes in pediatric patients presenting with intracranial gunshot wounds.

Firearm injuries are now the leading cause of death in children and young adults younger than 25 years of age in the US. Current management of these injuries is extrapolated from adult blunt and penetrating traumatic brain injury guidelines. The objectives of this study were to investigate and analyze the clinical, radiological, and laboratory factors associated with mortality and functional outcomes in pediatric patients presenting with intracranial gunshot wounds (GSWs). Medical records were screened for all patients younger than 21 years of age with an intracranial GSW who presented to the University Medical Center in New Orleans, Louisiana, from 2012 to 2022. Demographics and radiological, clinical, and laboratory data were extracted, and chi-square and Fisher's exact tests were used to evaluate individual association with mortality and functional outcome. Odds ratios were calculated from the cross tabulations for categorical variables and univariate binary logistic regression models for continuous variables. Multivariate binary logistic regression was used to adjust for effects of covariates and isolate the contributions of predictor variables for mortality and functional outcome. Ninety-six patients (82 male, 14 female) had a median age of 18 (interquartile range [IQR] 15-20) years. The 30-day inpatient, 60-day, and 6-month mortality rates among these patients were 53.1%, 0%, and 2.4%, respectively. Those who died were more likely to have an initial Glasgow Coma Scale score ≤ 8 (p < 0.001), bilateral fixed pupils (p < 0.001), transventricular trajectory (p < 0.001), deep nuclear/third ventricle involvement (p = 0.004), bihemispheric trajectory (p = 0.025), injury to ≥ 3 lobes (p = 0.015), parietal lobe involvement (p = 0.023), base deficit < -5 mEq/L (p = 0.013), international normalized ratio (INR) > 1.5 (p = 0.007), and a St. Louis Scale (SLS) score ≥ 5 (p < 0.001). The survivors with favorable functional outcome were more likely to have lower median SLS scores (p = 0.016) and injury to < 3 lobes (p < 0.001). In a multivariate analysis, bilaterally fixed nonreactive pupils were positively associated with mortality and negatively associated with favorable functional outcome, whereas the Injury Severity Score (ISS) and injury to ≥ 3 lobes were negatively associated with favorable functional outcome only. This is one of the largest series of pediatric intracranial GSWs to date. The authors identified certain clinical (bilateral fixed pupils, SLS score ≥ 5, ISS > 16), laboratory (INR > 1.5, base deficit < -5 mEq/L), and radiological (transventricular trajectory, deep nuclear/third ventricle involvement, parietal lobe involvement) factors that were associated with death and poor functional outcome in this pediatric cohort.

Development and validation of ‘Patient Optimizer’ (POP) algorithms for predicting surgical risk with machine learning

BackgroundPre-operative risk assessment can help clinicians prepare patients for surgery, reducing the risk of perioperative complications, length of hospital stay, readmission and mortality. Further, it can facilitate collaborative decision-making and operational planning.ObjectiveTo develop effective pre-operative risk assessment algorithms (referred to as Patient Optimizer or POP) using Machine Learning (ML) that predict the development of post-operative complications and provide pilot data to inform the design of a larger prospective study.MethodsAfter institutional ethics approval, we developed a base model that encapsulates the standard manual approach of combining patient-risk and procedure-risk. In an automated process, additional variables were included and tested with 10-fold cross-validation, and the best performing features were selected. The models were evaluated and confidence intervals calculated using bootstrapping. Clinical expertise was used to restrict the cardinality of categorical variables (e.g. pathology results) by including the most clinically relevant values. The models were created with logistic regression (LR) and extreme gradient-boosted trees using XGBoost (Chen and Guestrin, 2016). We evaluated performance using the area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (AUPRC). Data was obtained from a metropolitan university teaching hospital from January 2015 to July 2020. Data collection was restricted to adult patients undergoing elective surgery.ResultsA total of 11,475 adult admissions were included. The performance of XGBoost and LR was very similar across endpoints and metrics. For predicting the risk of any post-operative complication, kidney failure and length-of-stay (LOS), POP with XGBoost achieved an AUROC (95%CI) of 0.755 (0.744, 0.767), 0.869 (0.846, 0.891) and 0.841 (0.833, 0.847) respectively and AUPRC of 0.651 (0.632, 0.669), 0.336 (0.282, 0.390) and 0.741 (0.729, 0.753) respectively. For 30-day readmission and in-patient mortality, POP with XGBoost achieved an AUROC (95%CI) of 0.610 (0.587, 0.635) and 0.866 (0.777, 0.943) respectively and AUPRC of 0.116 (0.104, 0.132) and 0.031 (0.015, 0.072) respectively.ConclusionThe POP algorithms effectively predicted any post-operative complication, kidney failure and LOS in the sample population. A larger study is justified to improve the algorithm to better predict complications and length of hospital stay. A larger dataset may also improve the prediction of additional specific complications, readmission and mortality.

The risk of revision is higher following shoulder hemiarthroplasty compared with total shoulder arthroplasty for osteoarthritis: a matched cohort study of 11,556 patients from the National Joint Registry, UK.

Total shoulder arthroplasty (TSA) and hemiarthroplasty (HA) are used in the management of osteoarthritis of the glenohumeral joint. We aimed to determine whether TSA or HA resulted in a lower risk of adverse outcomes in patients of all ages with osteoarthritis and an intact rotator cuff and in a subgroup of patients aged 60 years or younger. Shoulder arthroplasties recorded in the National Joint Registry, UK, between April 1, 2012 and June 30, 2021, were linked to Hospital Episode Statistics in England. Elective TSAs and HAs were matched on propensity scores based on 11 variables. The primary outcome was all-cause revision. Secondary outcomes were combined revision/non-revision reoperations, 30-day inpatient complications, 1-year mortality, and length of stay. 95% confidence intervals (CI) were reported. 11,556 shoulder arthroplasties were included: 7,641 TSAs, 3,915 HAs. At 8 years 95% (CI 94-96) of TSAs and 91% (CI 90-92) of HAs remained unrevised. The hazard ratio (HR) varied across follow-up: 4-year HR 2.7 (CI 1.9-3.5), 8-year HR 2.0 (CI 0.5-3.5). Rotator cuff insufficiency was the most common revision indication. In patients aged 60 years or younger prosthesis survival at 8 years was 92% (CI 89-94) following TSA and 84% (CI 80-87) following HA. The risk of revision was higher following HA in patients with osteoarthritis and an intact rotator cuff. Patients aged 60 years and younger had a higher risk of revision following HA.

Impact of a hospital sepsis management protocol on the selection of empirical antibiotics in infectious disease consultations

It is well-established that Infectious Diseases consultation (IDC) enhances the prognosis of bloodstream infections. However, it is unclear if adoption of an institutional sepsis protocol would lead to any further improvement in a setting where IDC and infectious diseases approval (IDA) - available throughout 7 days/24 hours -are mandatory for administering broad spectrum antibiotics. We aimed to evaluate the influence of the institutional sepsis protocol developed by Department of Infectious Diseases and Clinical Microbiology on the selection of appropriate empirical antibiotics by IDC through focusing on patients who had bloodstream infections caused by Extended-spectrum β-lactamase (ESBL) producing Escherichia coli and Klebsiella pneumoniae, which poses a therapeutic challenge. One hundred and fifty-three adult patients (58 patients in the pre-protocol period and 95 patients in the post-protocol period), who received empirical antibiotic treatment for ESBL-producing E. coli and K. pneumoniae, in whom at least one systemic antibiotic was started either on the day blood cultures were drawn or not later than 24 hours were included in the study, retrospectively. The primary outcome was whether the empirical treatment regimen included a carbapenem that was accepted as the appropriate treatment based on the results of the MERINO trial. Secondary outcomes included empirical treatment based on pre-defined risk factors suggesting multidrug resistance (MDR), 30-day inpatient mortality, and appropriate antibacterial treatment according to antimicrobial susceptibility test (AST) results. The median age (Interquartile range) was 61 (48-70.5) years and 76 (49.7%) out of 153 patients were male. The patients in the post-protocol period were older compared to the pre-protocol period (54 years vs 64 years, p = 0.045). The Charlson Comorbidity Index was higher during the post-protocol period compared to the pre-protocol period (4 vs 5, p=0.038). At least one risk factor for MDR bacteria infection was present in 147 (96.1%) of the 153 patients. While the rate of risk factors for MDR bacteria infections did not differ significantly between the pre-protocol and post-protocol periods, the post-protocol period showed a significantly higher level of appropriate antibiotic treatment according to the presence of MDR risk factors compared to the pre-protocol period (44.8% vs 64.2%, p=0.019). There was a significant increase in the use of carbapenems in the post-protocol period compared to the pre-protocol period (34.5% vs. 56.8%, p=0.007). When the subgroup of patients who were likely to have infection caused by ESBL-producing bacteria is taken into consideration, the carbapenem use was more frequent in the post-protocol period (37.8% vs 68.9%, p=0.002). The rate of appropriate empirical treatment according to AST was not statistically different between pre-protocol and post-protocol period. The 30-day mortality rates were similar in both periods (24.1% vs 31.5, p=0.33). However, the rate of susceptibility to piperacillin-tazobactam was statistically higher in the pre-protocol period (82.6% vs 46.2%, p=0.016) when 39.7% of the patients received piperacillin-tazobactam as the empirical treatment. This study highlights the significance of using a structured protocol to attain appropriate empirical treatment for patients suspected of sepsis, even in a setting where IDC is readily available.

Combining the Hospital Frailty Risk Score With the Charlson and Elixhauser Multimorbidity Indices to Identify Older Patients at Risk of Poor Outcomes in Acute Care.

The Hospital Frailty Risk Score (HFRS) can be applied to medico-administrative datasets to determine the risks of 30-day mortality and long length of stay (LOS) in hospitalized older patients. The objective of this study was to compare the HFRS with Charlson and Elixhauser comorbidity indices, used separately or combined. A retrospective analysis of the French medical information database. The HFRS, Charlson index, and Elixhauser index were calculated for each patient based on the index stay and hospitalizations over the preceding 2 years. Different constructions of the HFRS were considered based on overlapping diagnostic codes with either Charlson or Elixhauser indices. We used mixed logistic regression models to investigate the association between outcomes, different constructions of HFRS, and associations with comorbidity indices. 743 hospitals in France. All patients aged 75 years or older hospitalized as an emergency in 2017 (n=1,042,234).Main outcome measures: 30-day inpatient mortality and LOS >10 days. The HFRS, Charlson, and Elixhauser indices were comparably associated with an increased risk of 30-day inpatient mortality and long LOS. The combined model with the highest c-statistic was obtained when associating the HFRS with standard adjustment and Charlson for 30-day inpatient mortality (adjusted c-statistics: HFRS=0.654; HFRS + Charlson = 0.676) and with Elixhauser for long LOS (adjusted c-statistics: HFRS= 0.672; HFRS + Elixhauser =0.698). Combining comorbidity indices and HFRS may improve discrimination for predicting long LOS in hospitalized older people, but adds little to Charlson's 30-day inpatient mortality risk.

Abstract 17212: Arterial Cannula Size and 30-Day Mortality in Adults With Cardiogenic Shock Supported With Venoarterial Extracorporeal Membrane Oxygenation and Concomitant Left Ventricular Mechanical Unloading: An ELSO Registry Analysis

Introduction: VA-ECMO with left ventricular mechanical unloading (LVMU), including intra-aortic balloon pump (IABP) or percutaneous left ventricular assist device (pVAD), is commonly used to support patients with cardiogenic shock (CS). The impact of arterial return cannula size on short-term mortality in the presence of LVMU is unknown. Hypothesis: The 30-day inpatient survival in patients with VA-ECMO and LVMU will be the same with a small vs large arterial cannula. Methods: We queried the ELSO Registry from 2017-2022 for adults with CS receiving VA-ECMO and concomitant LVMU, with either IABP or pVAD placed within -24h to +2h of ECMO initiation. We restricted to patients with body surface area (BSA) 1.8-2.2 m2 and excluded those with central cannulation, multiple ECMO runs, and ECPR. The primary outcome of 30-day inpatient mortality was compared using time-to-event analysis. Secondary outcomes included 24h lactate clearance and rates of acute renal and hepatic injury. Results: Among 2055 patients supported with VA-ECMO and LVMU (54.3% IABP; 45.7% pVAD), 292 (14.2%) patients received a small cannula and 1763 (86.8%) patients a large arterial cannula. Patients with a small cannula were less likely to be male, had smaller BSA, less often had a distal perfusion cannula, and had a lower incidence of pre-ECMO concomitant organ failures (Figure, A). There was no difference in 30-day inpatient mortality between the cannula size groups (Figure, B), which persisted in multivariable modeling with adjusted hazard ratio 0.94 (95% CI: 0.72-1.23), p=0.65. Patients with a small arterial cannula had no significant difference in 24h lactate clearance (Figure, C) or in the rates of acute renal injury (37.3% vs 39.8%, p = 0.42) or hyperbilirubinemia (5.5% vs 6.5%, p=0.52). Conclusions: In adults with CS receiving VA-ECMO with LVMU, the use of a smaller arterial return cannula was associated with no difference in 30-day inpatient mortality or metrics of end-organ perfusion.

Using Trajectories of Bedside Vital Signs to Identify COVID-19 Subphenotypes

Trajectories of bedside vital signs have been used to identify sepsis subphenotypes with distinct outcomes and treatment responses. The objective of this study was to validate the vitals trajectory model in a multicenter cohort of patients hospitalized with COVID-19 and to evaluate the clinical characteristics and outcomes of the resulting subphenotypes. Can the trajectory of routine bedside vital signs identify COVID-19 subphenotypes with distinct clinical characteristics and outcomes? The study included adult patients admitted with COVID-19 to four academic hospitals in the Emory Healthcare system between March 1, 2020, and May 31, 2022. Using a validated group-based trajectory model, we classified patients into previously defined vital sign trajectories using oral temperature, heart rate, respiratory rate, and systolic and diastolic BP measured in the first 8h of hospitalization. Clinical characteristics, biomarkers, and outcomes were compared between subphenotypes. Heterogeneity of treatment effect to tocilizumab was evaluated. The 7,065 patients with hospitalized COVID-19 were classified into four subphenotypes: group A (n= 1,429, 20%)-high temperature, heart rate, respiratory rate, and hypotensive; group B (1,454, 21%)-high temperature, heart rate, respiratory rate, and hypertensive; group C (2,996, 42%)-low temperature, heart rate, respiratory rate, and normotensive; and group D (1,186, 17%)-low temperature, heart rate, respiratory rate, and hypotensive. Groups A and D had higher ORs of mechanical ventilation, vasopressors, and 30-day inpatient mortality (P< .001). On comparing patients receiving tocilizumab (n= 55) with those who met criteria for tocilizumab but were admitted before its use (n= 461), there was significant heterogeneity of treatment effect across subphenotypes in the association of tocilizumab with 30-day mortality (P= .001). By using bedside vital signs available in even low-resource settings, we found novel subphenotypes associated with distinct manifestations of COVID-19, which could lead to preemptive and targeted treatments.

Duration of consultant experience and patient outcome following acute medical unit admission: an observational cohort study

The effect of the duration of consultant experience on clinical outcomes in the acute medical unit (AMU) model remains unknown. Unscheduled AMU admissions (n=66,929) admitted by 56 consultant physicians between 2017 and 2020 to two large teaching hospital AMUs in Lothian, Scotland were examined. The associations of consultant experience on AMU with patient discharge, mortality, readmission and postdischarge death were calculated adjusting for clinical acuity, pathology and comorbidity. Increasing consultant experience was associated with a continuous increase in likelihood of early AMU discharge (odds ratio (OR) 1.08; 95% confidence interval (CI) 1.07-1.10; p<0.001 per 5 years' experience), which persisted after adjustment for confounders (OR 1.06; 95% CI: 1.01-1.11; p=0.01). There was no association with early readmission, death after discharge or 30-day inpatient mortality. The marginal effect estimate translates into 31 (95% CI: 25-36), 41 (95% CI: 30-53) and 52 (95% CI: 35-71) additional safe discharges per 1,000 admissions for clinicians of 15, 20 and 25 years' experience, respectively compared with those recently completing training. Increasing consultant physician experience associates with early safe discharge after AMU admission. These data suggest that the support and retention of experienced clinicians is vital if escalating pressures on unscheduled medical care are to be addressed.

The Burden of COVID-19 Mortality Due to Referrals From Skilled Nursing Facilities in a Small Community Hospital.

Amidst the COVID-19 pandemic, nursing home residents have seen a significant increase in hospitalizations. However, there is a lack of published data on the healthcare provided to these individuals in community hospitals. This knowledge gap hinders our understanding and evaluation of the quality and outcomes of care received by nursing home residents when they are hospitalized for COVID-19 or other medical conditions. Furthermore, insufficient data is used to compare the clinical outcomes of COVID-19-related admissions from nursing facilities between small community hospitals and tertiary care facilities. It is essential to conduct further research to identify potential disparities, which may indicate an unequal burden of nursing facility referrals to less-resourced hospitals. We examined the characteristics of COVID-19-related deaths in a community hospital during the first surge of COVID-19and calculated the proportion of patients who expired and were transferred from nearby nursing facilities. We performed a retrospective review of all cases of COVID-19 admitted to a 160-bed community hospital in Connecticut from January 1, 2020, to August 1, 2020. One hundred seventy-seven patients with COVID-19 who were admitted to our hospital were included in this study. Seventy patients (70/177, 39.54%) were transferred fromnearby nursing facilities. The primary objective of this study was to examine the clinical characteristics of COVID-19-related deaths in our community hospital during the first surge of COVID-19. We also calculated the proportion of patients who expired and were transferred from nearby nursing facilities. Although the mortality rate in our community hospital was 15.23% (27/177), the majority of those who died were from nursing facilities (85.18%, 23/27). In contrast, mortality among the patients admitted from the community was 3.7% (4/107). The patients transferred from a nursing facility had 12.6 times higher odds of 30-day inpatient mortality or referral to hospice (95% CI, 4.1-38.5; p<0.001). The majority of COVID-19 deaths in our community hospital were due to nursing facility referrals. We hypothesize that this high mortality may reflect healthcare inequality due to the unequal burden of nursing facility referrals to less-resourced hospitals.

Sustainability and impact of the implementation of a frailty checklist for the acute medical unit: experience from a tertiary public hospital in Singapore

BackgroundAccelerated population ageing is associated with an increasing prevalence of frailty. International guidelines call for systematic assessment and timely interventions for older persons requiring acute care. Checklists have been applied...

Modeling Postoperative Mortality in Older Patients by Boosting Discrete-Time Competing Risks Models

Elderly patients are at a high risk of suffering from postoperative death. Personalized strategies to improve their recovery after intervention are therefore urgently needed. A popular way to analyze postoperative mortality is to develop a prognostic model that incorporates risk factors measured at hospital admission, for example, comorbidities. When building such models, numerous issues must be addressed, including censoring and the presence of competing events (such as discharge from hospital alive). Here we present a novel survival modeling approach to investigate 30-day inpatient mortality following intervention. The proposed method accounts for both grouped event times, for example, measured in 24-hour intervals, and competing events. Conceptually, the method is embedded in the framework of generalized additive models for location, scale, and shape (GAMLSS). Model fitting is performed using a component-wise gradient boosting algorithm, which allows for additional regularization steps via stability selection. We used this new modeling approach to analyze data from the Peri-interventional Outcome Study in the Elderly (POSE), which is a recent cohort study that enrolled 9862 elderly inpatients undergoing intervention under anesthesia. Application of the proposed boosting algorithm yielded six important risk factors (including both clinical variables and interventional characteristics) that either contributed to the hazard of death or to discharge from hospital alive. Supplementary materials for this article are available online.

Intracardiac leadless versus transvenous permanent pacemaker implantation: Impact on clinical outcomes and healthcare utilization

BackgroundTransvenous permanent pacemakers are used frequently to treat cardiac rhythm disorders. Recently, intracardiac leadless pacemakers offer potential treatment using an alternative insertion procedure due to their novel design. Literature comparing outcomes between the two devices is scarce. We aim to assess the impact of intracardiac leadless pacemakers on readmissions and hospitalization trends. MethodsWe analyzed the National Readmissions Database from 2016 to 2019, seeking patients admitted for sick sinus syndrome, second-degree-, or third-degree atrioventricular block who received either a transvenous permanent pacemaker or an intracardiac leadless pacemaker. Patients were stratified by device type and assessed for 30-day readmissions, inpatient mortality, and healthcare utilization. Descriptive statistics, Cox proportional hazards, and multivariate regressions were used to compare the groups. ResultsBetween 2016 and 2019, 21,782 patients met the inclusion criteria. The mean age was 81.07 years, and 45.52 % were female. No statistical difference was noted for 30-day readmissions (HR 1.14, 95 % CI 0.92–1.41, p = 0.225) and inpatient mortality (HR 1.36, 95 % CI 0.71–2.62, p = 0.352) between the transvenous and intracardiac groups. Multivariate linear regression revealed that length of stay was 0.54 (95 % CI 0.26–0.83, p < 0.001) days longer for the intracardiac group. ConclusionHospitalization outcomes associated with intracardiac leadless pacemakers are comparable to traditional transvenous permanent pacemakers. Patients may benefit from using this new device without incurring additional resource utilization. Further studies are needed to compare long-term outcomes between transvenous and intracardiac pacemakers.

Sepsis prevalence and associated hospital admission and mortality after ureteroscopy in employed adults.

To determine 30-day inpatient mortality, intensive care unit (ICU) admissions, inpatient admissions/readmissions, and yearly trends in sepsis prevalence and inpatient mortality after ureteroscopy (URS) in employed adults. We performed a retrospective analysis of the IBM MarketScan Commercial Database to identify employed adults aged 18-64 years who underwent URS between 2015 and 2019. Patients were categorized as having no sepsis (controls), non-severe sepsis, or severe sepsis within 30 days of URS. The main outcomes included inpatient mortality, ICU admissions, inpatient admissions, readmissions, and annual rates of sepsis and associated inpatient mortality. Among 109 496 patients undergoing URS, 5.6% developed sepsis (4.1% non-severe, 1.5% severe). The 30-day inpatient mortality rates were 0.03%, 0.3% and 2.5% for controls, non-severe sepsis and severe sepsis, respectively (P < 0.001). In a multivariable analysis, diagnosis of sepsis regardless of severity (hazard ratio [HR] 17.2, 95% confidence interval [CI] 10.5-28.1; P < 0.001) or severe sepsis (HR 49.5, 95% CI 28.9-84.7; P < 0.001) increased the risk of 30-day inpatient mortality compared to no sepsis (controls). ICU admissions on the day of procedure (1.5%, 19.8% and 52.4%), inpatient admission rates (18.3%, 74.9% and 76.9%) and readmission rates (7.1%, 12.0% and 15.9%) were higher with severe sepsis and non-severe sepsis vs controls (all P < 0.001). During the study period, the prevalence of sepsis after URS increased from 4.7% to 6.6% (P < 0.001), while the associated mortality rate decreased from 0.7% to 0.2% (P < 0.001). Among working adults aged 18-64 years, sepsis after URS increases the risk of 30-day inpatient mortality, ICU and hospital admission, and hospital readmission. Although the prevalence of sepsis after URS is increasing over time, associated mortality rates are declining. Urologists should be aware of the potentially deadly consequences of sepsis after URS in younger patients.