Discharge to Skilled Nursing Facility Is a Risk Factor for Readmission: A Nationwide Propensity-Matched Study.

INTRODUCTION: General surgery procedures place stress on geriatric patients, and postdischarge care options should be evaluated. We compared the association of discharge to a skilled nursing facility (SNF) versus home on patient readmission. METHODS: We retrospectively reviewed the Nationwide Readmission Database (2016-2019) and included patients ≥65 y who underwent a general surgery procedure between January and September. Our primary outcome was 30-d readmissions. Our secondary outcome was predictors of readmission after discharge to an SNF. We performed a 1:1 propensity-matched analysis adjusting for patient demographics and hospital course to compare patients discharged to an SNF with patients discharged home. We performed a sensitivity analysis on patients undergoing emergency procedures and a stepwise regression to identify predictors of readmission. RESULTS: Among 140,056 included patients, 33,916 (24.2%) were discharged to an SNF. In the matched population of 19,763 pairs, 30-d readmission was higher in patients discharged to an SNF. The most common diagnosis at readmission was sepsis, and a greater proportion of patients discharged to an SNF were readmitted for sepsis. In the sensitivity analysis, emergency surgery patients discharged to an SNF had higher 30-d readmission. Higher illness severity during the index admission and living in a small or fringe county of a large metropolitan area were among the predictors of readmission in patients discharged to an SNF, while high household income was protective. CONCLUSIONS: Discharge to an SNF compared to patients discharged home was associated with a higher readmission. Future studies need to identify the patient and facility factors responsible for this disparity.

Lost in transition: Impact of interhospital transfer on outcomes after emergency general surgery in the older adult population.

BACKGROUND: Emergency general surgery performed among patients over 65 years of age represents a particularly high-risk population. Although interhospital transfer has been linked to higher mortality in emergency general surgery patients, its impact on outcomes in the geriatric population remains uncertain. We aimed to establish the effect of interhospital transfer on postoperative outcomes in geriatric emergency general surgery patients. METHODS: Emergency general surgery patients 65 years and older were identified with American College of Surgeons National Surgical Quality Improvement Program 2013 to 2019. Patients were categorized based on admission source as either directly admitted or transferred from an outside hospital inpatient unit or emergency department. The primary outcomes evaluated were in-hospital mortality, 30-day mortality, and overall morbidity. Propensity score matching was used to control for confounders, including age, race, comorbidities, and preoperative conditions. Kaplan-Meier survival analysis and the log-rank test were used to compare 30-day survival in the matched cohort. RESULTS: Among the 88,424 patients identified, 13,872 (15.7%) were transfer patients. The median age was 74, and 53% were of female sex. Transfer patients had higher rates of comorbidities and preoperative conditions, including a higher prevalence of preoperative sepsis (21.8% vs 19.3%, P < .001) and ventilator dependence (6.4% vs 2.6%, P < .001). After propensity score-matched analysis, transferred patients exhibited higher rates of in-hospital mortality, 30-day mortality, and overall morbidity. Transfer patients were also less likely to be discharged home and more likely to be discharged to an acute care facility. Kaplan-Meier survival analysis confirmed a poorer 30-day survival in transferred patients. CONCLUSION: Interhospital transfer independently contributed to overall mortality and morbidity amongst geriatric emergency general surgery patients. Further investigation into improved coordination between hospitals, tailored care plans, and comprehensive risk assessments are needed to help mitigate the observed differences in outcomes.

Development of a two-hit lethal liver injury model in swine.

PURPOSE: Noncompressible truncal hemorrhage remains a leading cause of preventable death in the prehospital setting. Standardized and reproducible large animal models are essential to test new therapeutic strategies. However, existing injury models vary significantly in consistency and clinical accuracy. This study aims to develop a lethal porcine model to test hemostatic agents targeting noncompressible abdominal hemorrhages. METHODS: We developed a two-hit injury model in Yorkshire swine, consisting of a grade IV liver injury combined with hemodilution. The hemodilution was induced by controlled exsanguination of 30% of the total blood volume and a 3:1 resuscitation with crystalloids. Subsequently, a grade IV liver injury was performed by sharp transection of both median lobes of the liver, resulting in major bleeding and severe hypotension. The abdominal incision was closed within 60 s from the injury. The endpoints included mortality, survival time, serum lab values, and blood loss within the abdomen. RESULTS: This model was lethal in all animals (5/5), with a mean survival time of 24.4 ± 3.8 min. The standardized liver resection was uniform at 14.4 ± 2.1% of the total liver weight. Following the injury, the MAP dropped by 27 ± 8mmHg within the first 10 min. The use of a mixed injury model (i.e., open injury, closed hemorrhage) was instrumental in creating a standardized injury while allowing for a clinically significant hemorrhage. CONCLUSION: This novel highly lethal, consistent, and clinically relevant translational model can be used to test and develop life-saving interventions for massive noncompressible abdominal hemorrhage.

Patience is key: Association of surgical timing with clinical outcomes in elderly patients with sigmoid volvulus.

BACKGROUND: Current guidelines for sigmoid volvulus recommend endoscopy as a first line of treatment for decompression, followed by colectomy as early as possible. Timing of the latter varies greatly. This study compared early (≤2 days) versus delayed (>2 days) sigmoid colectomy. METHODS: 2016-2019 NRD database was queried to identify patients aged ≥65 years admitted for sigmoid volvulus who underwent sequential endoscopic decompression and sigmoid colectomy. Outcomes included mortality, complications, hospital length of stay, readmissions, and hospital costs. RESULTS: 842 patients were included, of which 409 (48.6 â€‹%) underwent delayed sigmoid colectomy. Delayed sigmoid colectomy was associated with reduced cardiac complications (1.1 â€‹% vs 0.0 â€‹%, p â€‹= â€‹0.045), reduced ostomy rate (38.3 â€‹% vs 29.4 â€‹%, p â€‹= â€‹0.013), an increased overall length of stay (12 days vs 8 days, p â€‹< â€‹0.001) and increased overall costs (27,764 dollar vs. 24,472 dollar, p â€‹< â€‹0.001). CONCLUSION: In geriatric patient with sigmoid volvulus, delayed surgical resection after decompression is associated with reduced cardiac complications and reduced ostomy rate, while increasing overall hospital length of stay and costs.

General Versus Locoregional Anesthesia in TEVAR: An NSQIP Analysis.

BACKGROUND: Thoracic Endovascular Aortic Repair (TEVAR) is a minimally invasive surgery for repairing thoracic aneurysms and dissections. This study aims to compare postoperative outcomes of TEVAR performed under general versus locoregional anesthesia. METHODS: Utilizing the 2008-2019 American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database, patients older than the age of 18 years who received TEVAR, were identified using the following current procedural terminology codes: 33,880, 33,881, 33,883, 33,884, or 33,886. Patients who underwent concomitant procedures, those with both thoracoabdominal and abdominal aortic pathologies, and trauma cases were excluded. Standard descriptive statistics, in addition to χ2, Fisher's exact test, and Mann-Whitney U-tests were used to compare patient baseline characteristics and postoperative outcomes between general and locoregional anesthesia groups as appropriate. Univariable and multivariable logistic regression analyses were performed to assess independent predictors of hospital length of stay (LOS) greater than 7 days. RESULTS: Of the 1,028 patients included in the study, 86.5% received general anesthesia, and 13.5% received locoregional anesthesia, such as local anesthesia with monitored anesthesia care or regional anesthesia. No significant differences were found between patients receiving locoregional versus general anesthesia in mortality (3.6% vs. 7.9%, respectively, P = 0.071) and morbidity (18.7% and 24.8%, respectively, P = 0.121) within 30 days post-TEVAR, including any wound, pulmonary, thromboembolic, renal, septic, and cardiac arrest complications. Patients who received general anesthesia had significantly higher median LOS compared to those who received locoregional anesthesia [5 days (interquartile range (IQR): 3-10) versus 4 days (IQR: 2-7), P = 0.002], with 34.3% of the general anesthesia group having an LOS greater than 7 days compared to 21.6% of locoregional anesthesia group, P = 0.003. On multivariable logistic regression analysis, general anesthesia was found to be an independent predictor of prolonged LOS greater than 7 days (odds ratio (OR): 1.72, 95% confidence interval (CI): 1.05-2.81, P = 0.031). CONCLUSIONS: Locoregional anesthesia results in significantly lower postoperative hospital LOS with similar postoperative mortality and morbidity compared to general anesthesia in patients undergoing TEVAR.

Mid-regional Proadrenomedullin Biomarker Predicts Coronavirus Disease 2019 Clinical Outcomes: A US-Based Cohort Study.

Background: Mid-regional proadrenomedullin (MR-proADM) is a biomarker released following endothelial damage. Studies have shown a correlation in predicting coronavirus disease 2019 (COVID-19) outcomes with MR-proADM levels. Our study aimed to investigate baseline MR-proADM as a predictor of a wider range of clinical outcomes of varying severity in patients admitted with COVID-19, and to compare to other biomarkers. Methods: Data from the Boston Area COVID-19 Consortium (BACC) Bay Tocilizumab Trial was used in this study. Patients with biomarker determinations, and not admitted to the intensive care unit (ICU) on admission, were included. MR-proADM cutoff of 0.87 nmol/L was assessed in predicting clinical outcomes. Results: Of 182 patients, 11.0% were mechanically ventilated or dead within 28 days. Of patients with MR-proADM >0.87 nmol/L, 21.1% were mechanically ventilated or dead within 28 days, compared with 4.5% of those with MR-proADM ≤0.87 nmol/L (P < .001). The sensitivity, specificity, negative predictive value, and positive predictive value of MR-proADM cutoff of 0.87 nmol/L in predicting mechanical ventilation or death were 75%, 65%, 95%, and 21%, respectively, with an area under the receiver operating characteristic curve of 0.76. On multivariable logistic regression analysis, MR-proADM >0.87 nmol/L was independently associated with mechanical ventilation or death, ICU admission, prolonged hospitalization beyond day 4, and day 4 COVID-19 ordinal scale equal to or worse than day 1. Conclusions: MR-proADM functions as a valuable biomarker for the early risk stratification and detection of severe disease progression of patients with COVID-19. In the prediction of death, MR-proADM performed better compared to many other commonly used biomarkers.

Extra-pulmonary applications of procalcitonin: an updated literature review.

INTRODUCTION: Procalcitonin (PCT) is a biomarker with established performance in the differentiation between bacterial and viral infections, predominantly in pulmonary infections, as well as the diagnosis and prognosis of bacterial sepsis. However, the role of PCT in extra-pulmonary infections is not well described. AREAS COVERED: We reviewed the role of PCT in commonly experienced extra-pulmonary infections including meningitis, diabetic foot infection, prosthetic joint infection, osteomyelitis, and skin and soft tissue infection. PubMed and Medline online libraries were searched, from 2013 till 2022, for relevant articles. EXPERT OPINION: For meningitis, PCT could distinguish bacterial from viral meningitis. PCT distinguished septic arthritis from different inflammatory states but had variable performance in discriminating septic arthritis from crystal arthropathy. For periprosthetic joint infections, results were inconclusive. PCT had a potential role in diagnosis of more complex infections such as osteomyelitis and diabetic foot infections, but further studies are needed for a definitive cutoff. In skin and soft tissue infections, PCT performance was variable requiring further investigation to define cutoff for the discrimination of cellulitis from necrotizing fasciitis. We find that PCT performed best for meningitis and helps in the reduction of unnecessary antibiotic treatment, but has variable outcomes with other extra-pulmonary infections.

Baseline procalcitonin as a predictor of bacterial infection and clinical outcomes in COVID-19: A case-control study.

PURPOSE: Coronavirus disease-2019 (COVID-19) is associated with a wide spectrum of clinical symptoms including acute respiratory failure. Biomarkers that can predict outcomes in patients with COVID-19 can assist with patient management. The aim of this study is to evaluate whether procalcitonin (PCT) can predict clinical outcome and bacterial superinfection in patients infected with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). METHODS: Adult patients diagnosed with SARS-CoV-2 by nasopharyngeal PCR who were admitted to a tertiary care center in Boston, MA with SARS-CoV-2 infection between March 17 and April 30, 2020 with a baseline PCT value were studied. Patients who were presumed positive for SARS-CoV-2, who lacked PCT levels, or who had a positive urinalysis with negative cultures were excluded. Demographics, clinical and laboratory data were extracted from the electronic medical records. RESULTS: 324 patient charts were reviewed and grouped by clinical and microbiologic outcomes by day 28. Baseline PCT levels were significantly higher for patients who were treated for true bacteremia (p = 0.0005) and bacterial pneumonia (p = 0.00077) compared with the non-bacterial infection group. Baseline PCT positively correlated with the NIAID ordinal scale and survival over time. When compared to other inflammatory biomarkers, PCT showed superiority in predicting bacteremia. CONCLUSIONS: Baseline PCT levels are associated with outcome and bacterial superinfection in patients hospitalized with SARS-CoV-2.

Emergency Resuscitative Thoracotomy: A Nationwide Analysis of Outcomes and Predictors of Futility.

BACKGROUND: Most studies on emergency resuscitative thoracotomy (ERT) suffer from either small sample size or unclear inclusion criteria. We sought to assess ERT outcomes and predictors of futility using a nationwide database. METHODS: Using a novel and comprehensive algorithm of combinations of specific International Classification of Diseases, Ninth Revision and International Classification of Diseases, Tenth Revision procedure codes denoting the multiple steps of an ERT (e.g., thoracotomy, pericardiotomy, cardiac massage) performed within the first 60 min of patient arrival, we identified ERT patients in the 2010-2016 Trauma Quality Improvement Program database. We defined the primary outcome as survival to discharge and the secondary outcomes as hospital length of stay (LOS), intensive care unit LOS, number of complications, and discharge destination. Univariate then backward stepwise multivariable logistic regression analyses were performed to assess independent predictors of mortality. Multiple imputations by chained equations were performed when appropriate, as additional sensitivity analyses. RESULTS: Of 1,403,470 patients, 2012 patients were included. The median age was 32, 84.0% were males, 66.7% had penetrating trauma, the median Injury Severity Score was 26, and 87.5% presented with signs of life (SOL). Of the 1343 patients with penetrating injury, 72.9% had gunshot wounds and 27.1% had stab wounds. The overall survival rate was 19.9%: 26.0% in penetrating trauma (stab wound 45.6% versus gunshot wound 18.7%; P < 0.001) and 7.6% in blunt trauma. Independent predictors of mortality were aged 60 y and older (odds ratio, 2.71; 95% confidence interval [95% CI], 1.26-5.82; P = 0.011), blunt trauma (odds ratio, 4.03; 95% CI, 2.72-5.98; P < 0.001), prehospital pulse <60 bpm (odds ratio, 3.43; 95% CI, 1.73-6.79; P < 0.001), emergency department pulse <60 bpm (odds ratio, 4.70; 95% CI, 2.47-8.94; P < 0.001), and no SOL on emergency department arrival (odds ratio, 3.64; 95% CI, 1.08-12.24; P = 0.037). Blunt trauma was associated with a higher median hospital LOS compared with penetrating trauma (28 d versus 13 d; P < 0.001), higher median intensive care unit LOS (19 d versus 6 d; P < 0.001), higher median number of complications (2 versus 1; P = 0.006), and more likelihood to be discharged to a rehabilitation facility instead of home (72.6% versus 28.7%; P < 0.001). ERT had the highest survival rates in patients younger than 60 y who present with SOL after penetrating trauma. None of the patients with blunt trauma who presented with no SOL survived. CONCLUSIONS: The survival rates of patients after ERT in recent years are higher than classically reported, even in the patient with blunt trauma. However, ERT remains futile in patients with a blunt trauma presenting with no SOL.