Higher Risk Of 30-day Mortality Research Articles

Incidence and Outcomes of Cardiocerebral Infarction: A Cohort Study of 2 National Population-Based Registries.

Cardiocerebral infarction (CCI), which is concomitant with acute myocardial infarction (AMI) and acute ischemic stroke (AIS), is a rare but severe presentation. However, there are few data on CCI, and the treatment options are uncertain. We investigated the characteristics and outcomes of CCI compared with AMI or AIS alone. We performed a retrospective cohort study of 120 531 patients with AMI and AIS from the national stroke and AMI registries in Singapore. Patients were categorized into AMI only, AIS only, synchronous CCI (same-day), and metachronous CCI (within 1 week). The primary outcome was all-cause mortality, and the secondary outcome was cardiovascular mortality. The mortality risks were compared using Cox regression. Multivariable models were adjusted for baseline demographics, clinical variables, and treatment for AMI or AIS. Of 127 919 patients identified, 120 531 (94.2%) were included; 74 219 (61.6%) patients had AMI only, 44 721 (37.1%) had AIS only, 625 (0.5%) had synchronous CCI, and 966 (0.8%) had metachronous CCI. The mean age was 67.7 (SD, 14.0) years. Synchronous and metachronous CCI had a higher risk of 30-day mortality (synchronous: adjusted HR [aHR], 2.41 [95% CI, 1.77-3.28]; metachronous: aHR, 2.80 [95% CI, 2.11-3.73]) than AMI only and AIS only (synchronous: aHR, 2.90 [95% CI, 1.87-4.51]; metachronous: aHR, 4.36 [95% CI, 3.03-6.27]). The risk of cardiovascular mortality was higher in synchronous and metachronous CCI than AMI (synchronous: aHR, 3.03 [95% CI, 2.15-4.28]; metachronous: aHR, 3.41 [95% CI, 2.50-4.65]) or AIS only (synchronous: aHR, 2.58 [95% CI, 1.52-4.36]; metachronous: aHR, 4.52 [95% CI, 2.95-6.92]). In synchronous CCI, AMI was less likely to be managed with PCI and secondary prevention medications (P<0.001) compared with AMI only. Synchronous CCI occurred in 1 in 200 cases of AIS and AMI. Synchronous and metachronous CCI had higher mortality than AMI or AIS alone.

Risk Factors for 30-Day Mortality in Nosocomial Enterococcal Bloodstream Infections.

Enterococci commonly cause nosocomial bloodstream infections (BSIs), and the global incidence of vancomycin-resistant enterococci (VRE) BSIs is rising. This study aimed to assess the risk factors for enterococcal BSIs and 30-day mortality, stratified by Enterococcus species, vancomycin resistance, and treatment appropriateness. We conducted a retrospective cohort study (2014-2021) including all hospitalized adult patients with at least one blood culture positive for Enterococcus faecalis or Enterococcus faecium. We included 584 patients with enterococcal BSI: 93 were attributed to vancomycin-resistant E. faecium. The overall 30-day mortality was 27.5%; higher in cases of BSI due to vancomycin-resistant E. faecium (36.6%) and vancomycin-sensitive E. faecium (31.8%) compared to E. faecalis BSIs (23.2%) (p = 0.016). This result was confirmed by multivariable Cox analysis. Independent predictors of increased mortality included the PITT score, complicated bacteremia, and age (HR = 1.269, p < 0.001; HR = 1.818, p < 0.001; HR = 1.022, p = 0.005, respectively). Conversely, male gender, consultation with infectious disease (ID) specialists, and appropriate treatment were associated with reduced mortality (HR = 0.666, p = 0.014; HR = 0.504, p < 0.001; HR = 0.682, p = 0.026, respectively). In conclusion, vancomycin-resistant E. faecium bacteremia is independently associated with a higher risk of 30-day mortality.

Thrombocytopenia developed in intensive care unit for congenital heart disease: incidence, risk factors, and outcomes

BackgroundThrombocytopenia is common for patients in the intensive care unit (ICU) and is associated with adverse outcomes. ICU thrombocytopenia in pediatric patients who underwent cardiac surgeries with cardiopulmonary bypass (CPB) is inadequately studied. ObjectivesWe aimed to investigate the incidence, risk factors, and prognostic role of ICU thrombocytopenia after congenital cardiac surgeries with CPB. MethodsA retrospective study involving 11 761 patients was conducted. Patients were categorized into 4 groups of thrombocytopenia based on platelet counts tested during ICU: non (>150 × 109/L), mild (100-150 × 109/L), moderate (50-100 × 109/L), and severe (<50 × 109/L). Logistic and Cox regression analyses were utilized to explore the risk factors of thrombocytopenia and the association of ICU thrombocytopenia with 30-day mortality. ResultsICU thrombocytopenia was observed in 4007 patients (34.1%), with mild, moderate, and severe thrombocytopenia occurring in 2773 (23.6%), 987 (8.4%), and 247 (2.1%) patients, respectively. Younger age, cyanotic congenital heart disease, CPB duration, and preoperative laboratory findings (red blood cell, thrombocytopenia, red cell distribution width, hematocrit, and coagulation disorder) were identified as independent risk factors of ICU thrombocytopenia. Patients with moderate (hazard ratio [95% CI]: 11.38 [3.02-42.87]; P < .001) and severe thrombocytopenia (hazard ratio [95% CI]: 49.54 [13.11-187.14]; P < .001) had a significantly higher risk of 30-day mortality. Furthermore, with the increase in the severity of ICU thrombocytopenia, there was an incremental increase in the incidence of postoperative critical bleeding and thrombosis, perioperative blood transfusions, length of ICU stays, and duration of mechanical ventilation. ConclusionICU thrombocytopenia occurred in one-third of children after congenital cardiac surgery with CPB, and it was associated with multiple adverse outcomes.

MELD3.0 is superior to MELDNa and MELD for prediction of mortality in patients with cirrhosis: An external validation in a multi-ethnic population.

The model for end-stage liver disease (MELD) was updated to MELDNa and recently to MELD3.0 to predict survival of cirrhotic patients. We validated the prognostic performance of MELD3.0 and compared with MELDNa and MELD amongst cirrhotic inpatients. Demographical, clinical, biochemical, and survival data of cirrhotic inpatients in Singapore General Hospital (SGH) from 01 January 2018 to 31 December 2018, were studied retrospectively. Patients were followed up from first admission in 2018 until death or until 01 April 2023. Area under the receiver operating characteristic curves (AUROC) were computed for the discriminative effects of MELD3.0, MELDNa, and MELD to predict 30-, 90-, and 365-day mortalities. AUROC was compared with DeLong's test. The cutoff MELD3.0 score for patients at high risk of 30-day mortality was determined using Youden's Index. Survival curves of patients with MELD3.0 score above and below the cutoff were estimated with Kaplan-Meier method and compared with log-rank analysis. Totally 862 patients were included (median age 71.0 years [interquartile range, IQR: 64.0-79.0], 65.4% males, 75.8% Chinese). Proportion of patients with Child-Turcotte-Pugh classes A/B/C were 55.5%/35.5%/9.0%. Median MELD3.0/MELDNa/MELD scores were 12.2 (IQR: 8.7-18.3)/11.0 (IQR: 8.0-17.5)/10.3 (IQR: 7.8-15.0). Median time of follow-up was 51.9 months (IQR: 8.5-59.6). The proportion of 30-/90-/365-day mortalities was 5.7%/13.2%/26.9%. AUROC of MELD3.0/MELDNa/MELD in predicting 30-, 90-, and 365-day mortalities, respectively, were 0.823/0.793/0.783, 0.754/0.724/0.707, 0.682/0.654/0.644 (P < 0.05). Optimal cutoff to predict 30-day mortality was MELD3.0 > 19 (sensitivity = 67.4%, specificity = 82.4%). Patients with MELD3.0 > 19, compared with patients with MELD3.0 ≤ 19, had shorter median time to death (98.0 days [IQR: 28.8-398.0] vs 390.0 days [IQR: 134.3-927.5]), and higher proportion of 30-day mortality (68.8% vs 43.0%) (P < 0.001). MELD3.0 performs better than MELDNa and MELD in predicting mortality in cirrhotic inpatients. MELD3.0 > 19 predicts higher 30-day mortality.

Impact of clinical frailty on surgical and non-surgical complications after major emergency abdominal surgery.

Major emergency abdominal surgery is associated with a high risk of morbidity and mortality. Given the ageing and increasingly frail population, understanding the impact of frailty on complication patterns after surgery is crucial. The aim of this study was to evaluate the association between clinical frailty and organ-specific postoperative complications after major emergency abdominal surgery. A prospective cohort study including all patients undergoing major emergency abdominal surgery at Copenhagen University Hospital Herlev, Denmark, from 1 October 2020 to 1 August 2022, was performed. Clinical frailty scale scores were determined for all patients upon admission and patients were then analysed according to clinical frailty scale groups (scores of 1-3, 4-6, or 7-9). Postoperative complications were registered until discharge. A total of 520 patients were identified. Patients with a low clinical frailty scale score (1-3) experienced fewer total complications (120 complications per 100 patients) compared with patients with clinical frailty scale scores of 4-6 (250 complications per 100 patients) and 7-9 (277 complications per 100 patients) (P < 0.001). A high clinical frailty scale score was associated with a high risk of pneumonia (P = 0.009), delirium (P < 0.001), atrial fibrillation (P = 0.020), and infectious complications in general (P < 0.001). Patients with severe frailty (clinical frailty scale score of 7-9) suffered from more surgical complications (P = 0.001) compared with the rest of the cohort. Severe frailty was associated with a high risk of 30-day mortality (33% for patients with a clinical frailty scale score of 7-9 versus 3.6% for patients with a clinical frailty scale score of 1-3, P < 0.001). In a multivariate analysis, an increasing degree of clinical frailty was found to be significantly associated with developing at least one complication. Patients with frailty have a significantly increased risk of postoperative complications after major emergency abdominal surgery, especially atrial fibrillation, delirium, and pneumonia. Likewise, patients with frailty have an increased risk of mortality within 90 days. Thus, frailty is a significant predictor for adverse events after major emergency abdominal surgery and should be considered in all patients undergoing major emergency abdominal surgery.

The effect of diabetes mellitus on perioperative outcomes after colorectal resection: a national cohort study

BackgroundDiabetes mellitus is a significant modulator of postoperative outcomes and is an important risk factor in the patient selection process. We aimed to investigate the effect of diabetes mellitus and use of insulin on outcomes after colorectal resection using a national cohort. MethodsAdults with a recorded colorectal resection in England between 2010 and 2020 were identified from Hospital Episode Statistics data linked to the Clinical Practice Research Database. The primary outcome was 90-day mortality. Secondary outcomes included hospital length of stay (LOS) and readmission within 90 days. ResultsOf the 106 139 (52 875, 49.8% male) patients included, diabetes mellitus was prevalent in 10 931 (10.3%), 2145 (19.6%) of whom had a record of use of insulin. Unadjusted 90-day mortality risk was 5.7%, with an increased adjusted hazard ratio (aHR) for people with diabetes mellitus (aHR 1.28, 95% confidence interval [CI] 1.19–1.37, P<0.001). This risk was higher in both people with diabetes using insulin (aHR 1.51, 95% CI 1.31–1.74, P<0.001) and not using insulin (aHR 1.22, 95% CI 1.13–1.33, P<0.001), compared with those without diabetes. Ninety-day readmission occurred in 20 542 (19.4%) patients and this was more likely in those with diabetes mellitus (aHR 1.23, 95% CI 1.18–1.29, P<0.001). Median (inter-quartile range) LOS was 8 (5–15) days and was higher in people with diabetes mellitus (adjusted time ratio 1.10, 95% CI 1.08–1.11, P<0.001). ConclusionsPeople with diabetes mellitus undergoing colorectal resection are at a higher risk of 90-day mortality, prolonged LOS, and 90-day readmission, with use of insulin associated with additional risk.

A comparison of endovascular therapy and medical management in patients with large vessel occlusion mild stroke treated between 2015 and 2023: a systematic review and meta-analysis

ObjectiveEndovascular therapy (EVT) is recommended for patients with acute large-vessel occlusion (LVO) However, its efficacy and safety compared to medical management (MM) in patients with a National Institutes of Health Stroke Scale (NIHSS) score of ≤6 remains unclear. This meta-analysis compared EVT with medical MM in patients with large vessel occlusion mild stroke treated between 2015 and 2023, following the publication of the first randomized controlled trial. Materials and methodsBiomedical database searches (inception to March 21, 2023) retrieved articles reporting favorable functional outcome(modified Rankin Scale [mRS] 0-1) and functional independence (mRS 0-2), 90-day mortality and symptomatic intracranial hemorrhage (sICH). We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PRISMA) to maintain methodological rigor and transparency in our meta-analysis. ResultsWe conducted a meta-analysis of 22 studies (4,985 patients) to reveal no significant differences in favorable functional outcomes and independence across all groups. However, in patients treated between 2015 and 2023, EVT exhibited a higher risk of 90-day mortality (Odds Ratio [OR] = 1.84, 95% Confidence Interval [CI] [1.10, 3.07], p = 0.02) and sICH (OR = 3.36, 95% CI [1.96, 6.66], p < 0.01). EVT correlated with elevated sICH in the anterior circulation (OR=2.94, 95%CI [1.82, 4.74], p<0.01) regardless of the proximal (OR=2.20, 95%CI [1.04, 4.69], p=0.04) or distal (OR=3.44, 95%CI [1.43, 8.32], p<0.01) location of the occlusion. EVT correlated with elevated sICH rates in patients treated within 6 hours of symptom onset or those with NHISS≤5. ConclusionIn patients treated between 2015 and 2023, EVT and MM did not differ in efficacy in acute LVO mild stroke; MM associated with better safety outcomes. Rigorous randomized controlled trials are warranted.

Paradigm Shift of Interventional Strategies and Outcomes for Acute Limb Ischemia Post-Pandemic.

We performed a large-scale comparison of patients treated for acute limb ischemia (ALI) in the pre-COVID (2017-2019) and COVID (2020-2022) eras to evaluate changes in interventional strategies and compare factors associated with adverse outcomes. We sought to characterize patient outcomes in an evolving ALI treatment algorithm in response to pandemic-associated presentation delays and rapid technological advancements in mechanical thrombectomy (MT). Using the TriNetX global research network, we conducted a multicenter query across 80 health care organizations (HCOs) spanning 4 countries for patients treated for ALI. Propensity score matching was performed to account for comorbidities. Risk of adverse outcomes within 30 days was calculated for each era, including re-intervention (RI30), major/minor amputation, and death. Patients were then stratified by initial intervention: open revascularization (OR), MT, or catheter-directed thrombolysis and adjunctive endovascular procedures alone (CDT/EP). Risk of adverse outcomes was compared between treatment groups of the same era. After propensity score matching, the pre-COVID era and COVID era cohorts included 7344 patients each. COVID era patients experienced a statistically significant higher risk of 30-day mortality (RR=1.211, p=0.027). Mechanical thrombectomy interventions were performed more frequently in the COVID era (RR=1.314, p<0.0001). Comparing outcomes between treatment groups, MT patients required RI30 more than OR patients (pre-COVID: RR=2.074, p=0.006; COVID: RR=1.600, p=0.025). Open revascularization patients had higher 30-day mortality (pre-COVID: RR=2.368, p<0.0001; COVID: RR=2.013, p<0.0001) and major amputations (pre-COVID: RR=2.432, p<0.0001; COVID: RR=2.176, p<0.0001) than CDT/EP. Pre-COVID CDT/EP patients were at higher risk for RI30 (RR=1.449, p=0.005) and minor amputations (RR=1.500, p=0.010) than OR. The MT group had higher major amputation rates than CDT/EP (pre-COVID: RR=2.043, p=0.019; COVID: RR=1.914, p=0.007). COVID-era MT patients had greater 30-day mortality (RR=1.706, p=0.031) and RI30 (RR=1.544, p=0.029) than CDT/EP. Significant shifts toward an MT-based approach have been observed in the last 3 years. Although MT required more RI30 than OR, there was no associated consequence of mortality and limb salvage. The increased mortality seen among COVID-era patients could be explained by delayed presentation, as well as poorly understood pro-thrombogenic or pro-inflammatory mechanisms related to the first waves of COVID. More research is necessary to determine an optimal treatment algorithm. Comorbid risk factors and severity of ischemia must be carefully considered before selecting an interventional strategy to prevent adverse outcomes and maximize limb salvage. Open revascularization strategies are associated with increased mortality and limb loss compared to less-invasive thrombolytic therapy alone. Mechanical thrombectomy (MT)-based approaches have been increasingly used in the last 3 years. Patients receiving MT are more likely to require reintervention within 30 days.

Development and external validation of a novel score for predicting postoperative 30‑day mortality in tumor craniotomy patients: A cross‑sectional diagnostic study.

The identification of patients with craniotomy at high risk for postoperative 30-day mortality may contribute to achieving targeted delivery of interventions. The present study aimed to develop a personalized nomogram and scoring system for predicting the risk of postoperative 30-day mortality in such patients. In this retrospective cross-sectional study, 18,642 patients with craniotomy were stratified into a training cohort (n=7,800; year of surgery, 2012-2013) and an external validation cohort (n=10,842; year of surgery, 2014-2015). The least absolute shrinkage and selection operator (LASSO) model was used to select the most important variables among the candidate variables. Furthermore, a stepwise logistic regression model was established to screen out the risk factors based on the predictors chosen by the LASSO model. The model and a nomogram were constructed. The area under the receiver operating characteristic (ROC) curve (AUC) and calibration plot analysis were used to assess the model's discrimination ability and accuracy. The associated risk factors were categorized according to clinical cutoff points to create a scoring model for postoperative 30-day mortality. The total score was divided into four risk categories: Extremely high, high, intermediate and low risk. The postoperative 30-day mortality rates were 2.43 and 2.58% in the training and validation cohort, respectively. A simple nomogram and scoring system were developed for predicting the risk of postoperative 30-day mortality according to the white blood cell count; hematocrit and blood urea nitrogen levels; age range; functional health status; and incidence of disseminated cancer cells. The ROC AUC of the nomogram was 0.795 (95% CI: 0.764 to 0.826) in the training cohort and it was 0.738 (95% CI: 0.7091 to 0.7674) in the validation cohort. The calibration demonstrated a perfect fit between the predicted 30-day mortality risk and the observed 30-day mortality risk. Low, intermediate, high and extremely high risk statuses for 30-day mortality were associated with total scores of (-1.5 to -1), (-0.5 to 0.5), (1 to 2) and (2.5 to 9), respectively. A personalized nomogram and scoring system for predicting postoperative 30-day mortality in adult patients who underwent craniotomy were developed and validated, and individuals at high risk of 30-day mortality were able to be identified.

Postoperative Dipping Patterns of Mean Arterial Pressure and Mortality After Coronary Artery Bypass Grafting.

Blood pressure dipping patterns have long been considered to be associated with adverse events. We aimed to investigate whether dipping patterns of postoperative MAP were related to 90-day and hospital mortality in patients undergoing CABG. Four thousand three hundred ninety-one patients were classified into extreme dippers (night-to-day ratio of MAP ≤ 0.8), dippers (0.8 < night-to-day ratio of MAP ≤ 0.9), non-dippers (0.9 < night-to-day ratio of MAP ≤ 1), and reverse dippers (> 1). Compared with non-dippers, reverse dippers were at a higher risk of 90-day mortality (aHR = 1.58; 95% CI, 1.10-2.27) and hospital mortality (aOR = 1.97; 95% CI, 1.12-3.47). A significant interaction was observed between hypertension and dipping patterns (P for interaction = 0.02), with a significant increased risk of 90-day mortality in non-hypertensive reverse dippers (aHR = 1.90; 95% CI, 1.17-3.07) but not in hypertensive reverse dippers (aHR = 1.26; 95% CI, 0.73-2.19).

The association of perioperative blood transfusion with survival outcomes after major cancer surgery: a population-based cohort study in South Korea.

The correlation between perioperative blood transfusions and the prognosis after major cancer surgery remains controversial. We investigated the association between perioperative blood transfusion and survival outcomes following major cancer surgeries and analyzed trends in perioperative blood transfusions. Data for this population-based cohort study were obtained from the National Health Insurance Service of South Korea. Adult patients who underwent major cancer surgery between January 1, 2016, and December 31, 2020, were included. The primary endpoint was 90-day mortality. The final analysis included 253,016 patients, of which 55,094 (21.8%) received perioperative blood transfusions. In the multivariable logistic regression model, select factors, including neoadjuvant/adjuvant chemotherapy, an increased preoperative Charlson Comorbidity Index, moderate or severe liver disease, liver cancer surgery, and small bowel cancer surgery, were associated with an increased likelihood of blood transfusion. In the multivariable Cox regression model, patients who received blood transfusion had a significantly higher risk of 90-day mortality (hazard ratio: 5.68; 95% confidence interval: 5.37, 6.00; P < 0.001) than those who did not. We identified potential risk factors for perioperative blood transfusions. Blood transfusion is associated with an increased 90-day mortality risk after major cancer surgery.

Preoperative Chronic Steroid Use is Associated with Increased Incidence of Postoperative Mortality and Limb Loss following Peripheral Arterial Bypass Surgery for Chronic Limb Threatening Ischemia

Steroids are a commonly prescribed medication in the United States and have been associated with poor surgical and treatment outcomes. The objective of this study is to assess the relationship between chronic steroid use and surgical outcomes of femoropopliteal and femoral-distal bypasses in patients suffering from chronic limb threatening ischemia (CLTI). All adult patients undergoing femoropopliteal and femoral-distal bypasses with single segment autologous vein with an indication of CLTI in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) between 2012 and 2021 were stratified between chronic preoperative steroid use (Group I) and no preoperative use (Group II). Primary outcomes of the study included 30-day mortality, amputation, and combined outcome of mortality and/or limb loss. Secondary outcomes included specific bypass related, cardiovascular, respiratory and renal outcomes. A total of 8,324 patients (66.8% Male, 33.2% Females) underwent peripheral arterial bypass operations for the indication of chronic limb threatening ischemia. The median age was 68 years. Group I included 408 patients (4.9%) and Group II included 7,916 patients (95.1%). As compared to patients in Group II, those in Group I were more likely to be females (Group I: 42.2% vs. Group II: 32.8%), more likely to have co-existing COPD (Group I: 20.6% vs. Group II: 11.8%), less likely to be diabetic (Group I: 45.9% vs. Group II: 48%), less likely to be smokers (Group I: 30.6% vs. Group II: 45.4%) and more likely to be in ASA III or IV Classes (Group I: 98% vs. Group II: 96.5%) (all p<0.05). Primary outcomes were as follows: 30-day mortality (Group I: 3.3% vs. Group II: 1.7%), amputation (Group I: 5.9% vs. Group II: 2.8%), 30-day mortality and/or amputation (Group I: 9.1% vs. Group II: 4.5%) (all p<0.05). Among secondary outcomes, the following were found to be statistically significant: untreated loss of patency (Group I: 4.2% vs. Group II: 1.7%), significant bleeding (Group I: 26.2% Vs. Group II: 16.5%), wound infection/complication (Group I: 18.6% vs. Group II: 15%), and return to OR (Group I: 21.8% vs. Group II: 16.7%) (all p<0.05). As compared to patients with an indication of tissue loss (Rutherford's class V and VI), patients in Group I with an indication of rest pain (Rutherford's class IV) were more likely to experience 30-day mortality, major amputation and a composite of mortality and amputation. Risk adjusted analysis showed that chronic steroid use has a statistically significant effect on 30-day mortality (AOR 1.7, p=0.05), amputation (AOR 2.05, p<0.001), composite outcomes of mortality and amputation (AOR 1.959, p<0.001), untreated loss of patency (AOR 2.31, p=0.002), bleeding (AOR 1.33, p<0.011) and unplanned return to the OR (AOR 1.36, p=0.014). Chronic steroid use in patients undergoing femoropopliteal or femoral-distal bypass is associated with a higher risk of 30-day mortality, major amputation, readmission, bleeding, return to operating room, and untreated loss of patency. No significant difference in outcomes were appreciated in patients with chronic steroid use and with Rutherford class V or VI disease (tissue loss), suggesting that the effects of steroids may be less prominent in those with the most advanced peripheral arterial disease. These findings may aid physicians with risk stratification and preoperative discussions regarding open revascularization in patients receiving chronic steroid therapy. More studies including randomized trials are needed to guide perioperative management of steroids in this cohort.

General anesthesia versus nongeneral anesthesia during endovascular therapy for acute ischemic stroke: A systematic review and meta-analysis.

This study compares the safety and efficacy of general anesthesia (GA) and nongeneral anesthesia (non-GA) on functional outcomes in patients receiving endovascular therapy for ischemic stroke. All available studies on the anesthetic management of patients with acute ischemic stroke in PubMed, the Cochrane Central Register of Controlled Trials, and Embase were included. We also compared the clinical outcomes in the studies with subgroup analyses of the occlusion site (anterior vs. posterior circulation) and preretriever group versus retriever group. Functional independence, mortality, successful recanalization, hemodynamic instability, intracerebral hemorrhage, and respiratory complications were considered primary or secondary outcomes. A total of 24,606 patients in 60 studies were included. GA had a lower risk of 90-day functional independence (OR=0.67, 95% CI 0.58 to 0.77), higher risk of 90-day mortality (OR=1.29; 95% CI 1.15 to 1.45), and successful reperfusion (OR=1.18; 95% CI 1.94 to 6.82). However, there were no differences in functional independence and mortality between GA and non-GA at 90 days after the procedure. The study shows poorer results in the GA group, which may be due to the inclusion of nonrandomized studies. However, analysis of the RCTs suggested that the outcomes do not differ between the two groups (GA vs. non-GA). Thus, general anesthesia is as safe as nongeneral anesthesia under standardized management.

Preoperative COVID-19 infection status negatively impacts postoperative outcomes of geriatric hip fracture surgery

ObjectivesCompare outcomes for patients with recently diagnosed COVID-19 infection to those without COVID-19 infection undergoing operative treatment of hip fractures using the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database. DesignRetrospective propensity score matched cohort. MethodsPatients who received surgery for an acute hip fracture (intramedullary nail (IMN), open reduction internal fixation (ORIF) or hemiarthroplasty) in 2021 were identified from the NSQIP database. Propensity score matching was implemented using patient demographics and preoperative medical conditions to compare outcomes for COVID-19-positive and COVID-19-negative cohorts. ResultsAfter matching, COVID-19-positive patients exhibited a higher risk of 30-day mortality (Odds ratio (OR) 1.48, 95 % confidence interval (CI) 1.01 – 2.04), pneumonia (OR 2.90, 95 % CI: 1.91 – 4.33), unplanned intubation (OR 2.53, 95 % CI: 1.39 – 4.39), and septic shock (OR 2.51, 95 % CI: 1.10 – 4.67). COVID-19-positive patients were also more likely to have a longer length of hospital stay (Hazard Ratio 1.3, 95 % CI: 1.20 – 1.41) and were more likely to be discharged to an acute care hospital (OR 1.90, 95 % CI: 1.03 – 3.06). ConclusionsActive COVID-19 infection is an independent risk factor for complications as well as increased resource utilization in patients undergoing surgical treatment of acute hip fracture. Using the results of this multicenter study, quantification of these risks can help inform practice and treatment protocols for this population. Level of EvidenceIII.

Abstract 14532: The Off-Hour Effect on Clinical Outcomes of ST-Segment Elevation Myocardial Infarction Complicated by Cardiogenic Shock Patients Treated With Impella: Insight From Japanese Registry for Percutaneous Ventricular Assist Device (J-PVAD)

Introduction: The off-hours effect is a contentious issue in that patients admitted on weekends or nighttime have worse outcomes than on weekday daytime. The off-hours effect in patients with ST-segment elevation myocardial infarction complicated by cardiogenic shock (STEMI-CS) treated with Impella has not been fully evaluated. Hypothesis: The off-hours admission is associated with longer door-to-unload (DTU) time, door-to-balloon (DTB) time, and higher mortality in this population. Methods: We used the Japanese large-scale registry data for Percutaneous Ventricular Assist Device (J-PVAD), which registered all consecutive patients treated with Impella from December 2019 to July 2022. We compared the effects of on-hours and off-hours admissions on DTU time, DTB time, and 30-day mortality. We defined “on-hours” as between 8:00 and 19:59 on weekdays and the other time as “off-hours”. A multiple linear regression model was used to reveal the independent factors of prolonged DTU and DTB times. The Cox proportional hazards model was applied to calculate adjusted hazard ratios [aHR] for 30-day mortality, controlling for conventional cardiac risk factors. Results: Of 2,453 patients, 775 (32%) (mean age 68 years, 628 (81%) male) STEMI-CS patients treated with Impella were included. Among them, 401 (39%) were admitted during off-hours. We observed 155 deaths (49%) among patients admitted off-hours and 134 deaths (36%) among patients admitted on-hours during the follow-up period (median: 23 days). The DTU and DTB times were significantly longer in patients admitted off-hours than in patients admitted on-hours (91 (IQR 74-164) vs. 74 (62-151) minutes, p&amp;lt;0.001; 104 (77-134) vs. 89 (61-122), p&amp;lt;0.001, respectively). The linear regression model showed that the off-hours admission was associated with longer DTU time (β=14.3 minutes, 95% CI 4.8-23.8, p=0.003) and DTB time (15.4, 5.0-25.7, p=0.004). The Cox proportional hazards model showed that off-hours admission was associated with a higher risk of 30-day mortality than on-hours admission (aHR=1.42, 95% CI: 1.03-1.96, p=0.03). Conclusion: Our findings implied that the off-hours effect existed in DTU time, DTB time, and 30-day mortality among STEMI-CS patients treated with Impella.

Predicting acute and long-term mortality in a cohort of pulmonary embolism patients using machine learning

BackgroundPulmonary embolism (PE) is a severe condition that causes significant mortality and morbidity. Due to its acute nature, scores have been developed to stratify patients at high risk of 30-day mortality. Here we develop a machine-learning based score to predict 30-day, 90-day, and 365-day mortality in PE patients. MethodsThe Birmingham and Black Country Venous Thromboembolism registry (BBC-VTE) of 2183 venous thromboembolism patients is used. Random forests were trained on a 70% training cohort and tested against 30% held-out set. The outcomes of interest were 30-day, 90-day, and 365-day mortality. These were compared to the pulmonary embolism severity index (PESI) and simplified pulmonary embolism severity index (sPESI). Shapley values were used to determine important predictors. Oral anticoagulation at discharge was also investigated as a predictor of mortality. ResultsThe machine learning risk score predicted 30-day mortality with AUC 0.71 [95% CI: 0.63 - 0.78] compared to the sPESI AUC of 0.65 [95% CI: 0.57 - 0.73] and PESI AUC of 0.64 [95% CI: 0.56 – 0.72]. 90-day mortality and 365-day mortality were predicted with an AUC of 0.74 and 0.73 respectively. High counts of neutrophils, white blood cell counts, and c-reactive protein and low counts of haemoglobin were important for 30-day mortality prediction but progressively lost importance with time. Older age was an important predictor of high risk throughout. ConclusionMachine learning algorithms have improved on standard clinical risk stratification for PE patients. External cohort validation is required before incorporation into clinical workflows.

Relationship between serum bicarbonate levels and the risk of death within 30 days in ICU patients with acute ischemic stroke.

To explore the relationship between baseline bicarbonate levels and their changes with 30-day mortality in patients with acute ischemic stroke who were admitted to the intensive care unit (ICU). This cohort study collected the data of 4,048 participants from the Medical Information Mart for Intensive Care (MIMIC)-III and MIMIC-IV databases. Univariate and multivariable Cox proportional risk models were utilized to explore the relationship between bicarbonate T0 and Δbicarbonate with 30-day mortality in patients with acute ischemic stroke. The Kaplan-Meier curves were plotted to measure the 30-day survival probability of patients with acute ischemic stroke. The median follow-up time was 30 days. At the end of the follow-up, 3,172 patients survived. Bicarbonate T0 ≤ 21 mEq/L [hazard ratio (HR) = 1.24, a 95% confidence interval (CI): 1.02-1.50] or 21 mEq/L < bicarbonate T0 ≤ 23 mEq/L (HR = 1.29, 95%CI: 1.05-1.58) were associated with an increased risk of 30-day mortality in patients with acute ischemic stroke compared with bicarbonate T0 > 26 mEq/L. -2 mEq/L < Δbicarbonate ≤ 0 mEq/L (HR = 1.40, 95%CI: 1.14-1.71), 0 mEq/L < Δbicarbonate ≤ 2 mEq/L (HR = 1.44, 95%CI: 1.17-1.76), and Δbicarbonate >2 mEq/L (HR = 1.40, 95%CI: 1.15-1.71) were correlated with an elevated risk of 30-day mortality in acute ischemic stroke patients. The 30-day survival probability of acute ischemic stroke patients with 21 mEq/L < bicarbonate T0 ≤ 23 mEq/L, 23 mEq/L < bicarbonate T0 ≤ 26 mEq/L, or bicarbonate T0 >26 mEq/L was higher than that of patients with bicarbonate T0 ≤ 21 mEq/L. The 30-day survival probability was greater for patients in the Δbicarbonate ≤ -2 mEq/L group than for those in the Δbicarbonate >2 mEq/L group. Low baseline bicarbonate levels and decreased bicarbonate levels during the ICU stay were associated with a high risk of 30-day mortality in acute ischemic stroke patients. Special interventions should be offered to those with low baseline and decreased bicarbonate levels during their ICU stay.

Advanced Care Planning for Hospitalized Patients Following Clinician Notification of Patient Mortality by a Machine Learning Algorithm

Goal-concordant care is an ongoing challenge in hospital settings. Identification of high mortality risk within 30 days may call attention to the need to have serious illness conversations, including the documentation of patient goals of care. To examine goals of care discussions (GOCDs) in a community hospital setting with patients identified as having a high risk of mortality by a machine learning mortality prediction algorithm. This cohort study took place at community hospitals within 1 health care system. Participants included adult patients with a high risk of 30-day mortality who were admitted to 1 of 4 hospitals between January 2 and July 15, 2021. Patient encounters of inpatients in the intervention hospital where physicians were notified of the computed high risk mortality score were compared with patient encounters of inpatients in 3 community hospitals without the intervention (ie, matched control). Physicians of patients with a high risk of mortality within 30 days received notification and were encouraged to arrange for GOCDs. The primary outcome was the percentage change of documented GOCDs prior to discharge. Propensity-score matching was completed on a preintervention and postintervention period using age, sex, race, COVID-19 status, and machine learning-predicted mortality risk scores. A difference-in-difference analysis validated the results. Overall, 537 patients were included in this study with 201 in the preintervention period (94 in the intervention group; 104 in the control group) and 336 patients in the postintervention period. The intervention and control groups included 168 patients per group and were well-balanced in age (mean [SD], 79.3 [9.60] vs 79.6 [9.21] years; standardized mean difference [SMD], 0.03), sex (female, 85 [51%] vs 85 [51%]; SMD, 0), race (White patients, 145 [86%] vs 144 [86%]; SMD 0.006), and Charlson comorbidities (median [range], 8.00 [2.00-15.0] vs 9.00 [2.00 to 19.0]; SMD, 0.34). Patients in the intervention group from preintervention to postintervention period were associated with being 5 times more likely to have documented GOCDs (OR, 5.11 [95% CI, 1.93 to 13.42]; P = .001) by discharge compared with matched controls, and GOCD occurred significantly earlier in the hospitalization in the intervention patients as compared with matched controls (median, 4 [95% CI, 3 to 6] days vs 16 [95% CI, 15 to not applicable] days; P < .001). Similar findings were observed for Black patient and White patient subgroups. In this cohort study, patients whose physicians had knowledge of high-risk predictions from machine learning mortality algorithms were associated with being 5 times more likely to have documented GOCDs than matched controls. Additional external validation is needed to determine if similar interventions would be helpful at other institutions.

White Blood Cell Count Predicts Mortality in Patients with Spontaneous Intracerebral Hemorrhage.

The association between white blood cell (WBC) counts and mortality in patients with intracerebral hemorrhage (ICH) has not been established. The aim of this study is to determine whether higher WBC is associated with mortality at 90days. A retrospective observational study was conducted at two medical hospitals in China. Baseline WBC count on admission served as the primary predictor variable. Longitudinal WBC counts within the first week after admission were collected to assess the effects of WBC trajectory and the median and maximum WBC counts on outcomes following ICH. Associations of WBC count with outcomes were evaluated in multivariable regression analyses. We identified 3613 patients with ICH who met the inclusion criteria. After adjusting primary confounding variables, patients with increased WBC count had a significantly higher risk of 90-day mortality (p < 0.001 for trend). In the receiver operating characteristic analyses, the capacity for all-cause mortality prediction by WBC count on admission (area under the ROC curve (AUC) = 0.65) was superior to other important inflammatory markers, includingneutrophil(AUC = 0.64) , lymphocyte(AUC = 0.57), albumin(AUC = 0.57), and platelet count(AUC = 0.53), p < 0.001for WBC vs.neutrophil, and the median WBC count (AUC = 0.66) within the first week after admission was a better marker than admission WBC count (p = 0.02). In patients with ICH, WBC count on admission was associated with all-cause mortality at 90days. Additionally, the median and maximum WBC counts within the first week after admission showed better predictive ability for the 90-day mortality compared with the WBC count on admission.

The serum anion gap is associated with the prognosis of coronary artery bypass grafting (CABG): analysis based on the MIMIC-IV database.

The serum anion gap (AG) has been reported to be an important prognostic indicator for patients in intensive care units. To explore the potential relationship between the serum AG and 30-day mortality in patients who underwent CABG. All data were collected from the Medical Information Mart for Intensive Care Ⅳ (MIMIC-Ⅳ) database. We divided patients into 3 groups according to AG tertiles. The primary outcome of our study was the 30-day mortality of patients who underwent CABG. The relationship between the serum AG and mortality in individuals who underwent CABG was estimated using Cox proportional hazard models. Subgroup analysis for effect modification was conducted with a likelihood ratio test. A total of 5,102 eligible subjects were included in our analysis. After adjusting for confounding factors, every unit increase in the AG was associated with a 22% higher odds of 30-day mortality in patients who underwent CABG [hazard ratio (HR), 95% confidence interval (CI): 1.22, 1.13-1.33] When the AG was converted into a categorical variable, the high AG group had a higher risk of 30-day mortality than the low AG group in the fully adjusted model (HR, 95% CI: 3.99, 1.35-11.76). Tests for trends were statistically significant (p-value < 0.05). Subgroup analysis demonstrated that higher mortality was related to the subgroups of people ≥ 70 years and females. The serum AG was an independent predictor of short-term prognosis in patients who underwent CABG. A high AG was associated with an increased risk of 30-day mortality after CABG.