Cardiac Risk Index Research Articles

Evaluating the relationship between blood lipids, cardiac risk index, and suicidal behaviors in first-episode psychosis

IntroductionSchizophrenia patients have demonstrated a high prevalence of suicidal behavior. There isn’t yet a definitive explanation of the neurobiological mechanisms of suicidal behavior (SB) in psychotic patients. While subthreshold indices of dyslipidemia were observed in schizophrenia patients, it has shown that there is a relationship between dyslipidemia and suicidal behavior.ObjectivesThe study aimed to investigate possible associations between SB and lipid profile including cardiovascular biomarkers in first-episode psychosis (FEP) as compared with healthy controls (HC).MethodsThe study sample consisted of 173 subjects (111 male, 62 female). The sample included 31 drug- naïve FEP patients with current SB (FEP+S), 66 drug-naïve FEP patients without SB (FEP-S), and 76 mentally and medically HC subjects. Blood samples were collected from all participants to determine total cholesterol (TC), low- and high-density lipoproteins (LDL and HDL), and triglycerides (TG). Castelli Risk Index-I, Castelli Risk Index-II, and atherogenic index were calculated. Symptoms were assessed by using the Positive and Negative Syndrome Scale. Nonparametric Kruskal-Wallis and Mann-Whitney tests were used for pairwise comparisons of account of lipid parameters in three groups. A binomial logistic regression analysis was performed to examine the predictive power of lipid profile in the presence of SB in FEP.ResultsThe results of Kruskal-Wallis test revealed that a statistical difference was found in TC and TG between groups. Despite statistical significance was observed in TG between all patient groups (FEP+S and FEP-S) and controls, as well as in TC between FEP-S and controls, there was no significant difference between FEP-S and FEP+S for any lipid parameters or cardiovascular biomarkers. No significant correlation was identified between lipid profile and symptom severity. No significant relationships were able to predict the presence of SB in FEP.ConclusionsIn this study, plasma levels of lipid parameters and biomarkers of cardiovascular risk in all patient groups (FEP+S and FEP-S) and HC were compared. Current results show no linkage between SB and lipid profile, but significantly lower levels of cholesterol in FEP. Therefore, cholesterol might have a protective role in terms of psychosis while CI1, CI2, and AI were not increased in psychosis. Thus, increased cholesterol levels or cardiovascular risk in schizophrenia patients, that several studies found, may ensue after antipsychotic use. Overall, present findings suggest that lipid profile abnormalities are specifically associated with FEP rather than SB. Controversy of results may reveal that research on SB requires an understanding of whether the patient had concomitant psychosis.Disclosure of InterestNone Declared

Development and validation of a novel score for predicting perioperative major adverse cardiovascular events in patients with stable coronary artery disease undergoing noncardiac surgery

BackgroundA model developed specifically for stable coronary artery disease (SCAD) patients to predict perioperative major adverse cardiovascular events (MACE) has not been previously reported. MethodsThe derivation cohort consisted of 5780 patients with SCAD undergoing noncardiac surgery at the First Affiliated Hospital of Zhejiang University School of Medicine, from January 1, 2013 until May 31, 2021. The validation cohort consisted of 2677 similar patients from June 1, 2021 to May 31, 2023. The primary outcome was a composite of MACEs (death, resuscitated cardiac arrest, myocardial infarction, heart failure, and stroke) intraoperatively or during hospitalization postoperatively. ResultsSix predictors, including Creatinine >90 μmol/L, Hemoglobin <110 g/L, Albumin <40 g/L, Leukocyte >10 ×109/L, high-risk Surgery (general abdominal or vascular), and American Society of Anesthesiologists (ASA) class (III or IV), were selected in the final model (CHALSA score). Each patient was assigned a CHALSA score of 0, 1, 2, 3, or > 3 according to the number of predictors present. The incidence of perioperative MACEs increased steadily across the CHALSA score groups in both the derivation (0.5%, 1.4%, 2.9%, 6.8%, and 23.4%, respectively; p < 0.001) and validation (0.3%, 1.5%, 4.1%, 9.2%, and 29.2%, respectively; p < 0.001) cohorts. The CHALSA score had a higher discriminatory ability than the revised cardiac risk index (C statistic: 0.827 vs. 0.695 in the validation dataset; p < 0.001). ConclusionsThe CHALSA score showed good validity in an external dataset and will be a valuable bedside tool to guide the perioperative management of patients with SCAD undergoing noncardiac surgery.

Prioritizing patients for hip fracture surgery: the role of frailty and cardiac risk.

The number of patients with hip fractures continues to rise as the average age of the population increases. Optimizing outcomes in this cohort is predicated on timely operative repair. The aim of this study was to determine if patients with hip fractures who are frail or have a higher cardiac risk suffer from an increased risk of in-hospital mortality when surgery is postponed >24 h. All patients registered in the 2013-2021 TQIP dataset who were ≥65 years old and underwent surgical fixation of an isolated hip fracture caused by a ground-level fall were included. Adjustment for confounding was performed using inverse probability weighting (IPW) while stratifying for frailty with the Orthopedic Frailty Score (OFS) and cardiac risk using the Revised Cardiac Risk Index (RCRI). The outcome was presented as the absolute risk difference in in-hospital mortality. A total of 254,400 patients were included. After IPW, all confounders were balanced. A delay in surgery was associated with an increased risk of in-hospital mortality across all strata, and, as the degree of frailty and cardiac risk increased, so too did the risk of mortality. In patients with OFS ≥4, delaying surgery >24 h was associated with a 2.33 percentage point increase in the absolute mortality rate (95% CI: 0.57-4.09, p = 0.010), resulting in a number needed to harm (NNH) of 43. Furthermore, the absolute risk of mortality increased by 4.65 percentage points in patients with RCRI ≥4 who had their surgery delayed >24 h (95% CI: 0.90-8.40, p = 0.015), resulting in a NNH of 22. For patients with OFS 0 and RCRI 0, the corresponding NNHs when delaying surgery >24 h were 345 and 333, respectively. Delaying surgery beyond 24 h from admission increases the risk of mortality for all geriatric hip fracture patients. The magnitude of the negative impact increases with the patient's level of cardiac risk and frailty. Operative intervention should not be delayed based on frailty or cardiac risk.

122P Evaluating the predictive accuracy of the Lee Revised Cardiac Risk Index for postoperative complications and survival after robotic-assisted pulmonary lobectomy

122P Evaluating the predictive accuracy of the Lee Revised Cardiac Risk Index for postoperative complications and survival after robotic-assisted pulmonary lobectomy

Impact of Flagging/Risk Stratification System on Complications in Hospitalist Hip Fracture Co-management: Retrospective Cohort Study.

Hip fractures are associated with high morbidity and mortality, the rates of which can be improved by comprehensive care. To improve hospitalist co-management of hip fractures, we designed and implemented hip fracture template (HFT), a flagging and risk stratification algorithm system. It includes consideration of perioperative management and preventative measures against hip fractures. We examined its effect on morbidity in patients with hip fractures and the factors associated with complications. We conducted a retrospective cohort study of patients who underwent surgery for hip fracture. The primary outcome was the perioperative complication rate, comparing patients managed with and without HFT. Multivariate analysis was adjusted for age, gender, and any significant variables shown in univariate analysis. HFT was used in 121 patients and not used in 147 patients. In univariate analysis, patients were less likely to have complications if HFT was used (19.0% vs. 29.9%, P = 0.047), but there was no difference in length of stay (17days vs. 17days, P = 0.27) or in-hospital-mortality (0.8% vs. 0.7%, P = 1.00) between the groups. In adjusted analysis, patients managed by HFT had lower likelihood of complications (OR 0.55, 95% CI 0.31-0.98). Among patients managed by HFT, those with revised cardiac risk index (RCRI) ≥ 1 were more likely to have complications in both univariate (42.1% vs. 14.7%, P = 0.01) and adjusted analysis (OR 3.37, 95% CI 1.03-10.84). Patients with hip fractures managed with HFT were less likely to have complications, especially those with RCRI ≥ 1, suggesting benefits of using HFT.

Evaluation of Antioxidant Effects of Pumpkin (Cucurbita pepo L.) Seed Extract on Aging- and Menopause-Related Diseases Using Saos-2 Cells and Ovariectomized Rats.

Aging and menopause are associated with oxidative stress and inflammation. Here, we evaluated the antioxidant properties of pumpkin (Cucurbita pepo L.) seed extract and assessed its ameliorative effects on aging- and menopause-related diseases using Saos-2 cells and ovariectomized rats. The seed extract had bioactive components that exhibited antioxidant activity. The extract increased the alkaline phosphatase (ALP) activity of Saos-2 cells. The oral administration of the extract to ovariectomized rats for 12 weeks decreased their body weight, fat weight, and cardiac risk indices. It also contributed to reductions in the levels of reactive oxygen species, oxidative stress, and inflammation, as assessed by measuring the serum levels of malondialdehyde and analyzing gene expression in rats. Furthermore, the administration of the extract also promoted an enhancement of the transcription of nuclear factor erythroid 2-related factor (Nrf2), heme oxygenase-1 (Ho-1), and catalase (Cat), involved in antioxidant activity; endothelial nitric oxide synthase (eNos), involved in vasculoprotective activity; and PR/SET domain 16 (Prdm16) and peroxisome proliferator-activated receptor-gamma coactivator (Pgc1α), involved in brown adipogenesis and thermogenesis. Our results using ovariectomized rats show that pumpkin seed extract may have ameliorative effects on menopause-related diseases by increasing ALP activity, evaluating the antioxidant system, ameliorating oxidative stress and thermogenesis, and enhancing lipid profiles.

The Significance of Equipment Availability and Anesthesia Educational Conferences to Decision-Making for EKG Lead V5 Abnormalities.

Introduction To predict postoperative myocardial infarction rates in patients who undergo noncardiac surgery, the Canadian Cardiovascular Society Guidelines on Perioperative Cardiac Risk Assessment and Management recommends assessment of brain natriuretic peptide (BNP) in certain patients. Serial troponins are measured if the BNP level is elevated. In certain cases, Revised Cardiac Risk Index (RCRI) alone does not perform well, for example, during vascular surgery. Cardiac events occur in 20% of all vascular surgery patients. The odds ratio for such events is 9.2 if ST segments were depressed by 1 mm intraoperatively (relative to the PR interval) within the first 48 hours postoperatively. Increasing the number of cables and pads from three to five for electrocardiogram (EKG) increases the sensitivity from around 30% to over 80% for ischemic events relative to a formal EKG stress test, and then the monitor continuously displays not only lead II but also lead V5. Methods Our hypothesis was that raising awareness about diagnostic and therapeutic options to reduce the risk of postoperative myocardial infarction would increase the use of five pads. We conducted open-ended surveys at six hospitals to assess the reasons for choosing three pads. In our university hospital practice, we measured a cross-sectional incidence of using three pads before and, once again, a month after an intervention during a single morning. Several resident conferences encouraged the use of five pads. Education included weekly lectures and informal discussions with other staff during surgery, demonstrating that using five pads allows interrogation of an entire 12-lead EKG. In comparison, three pads only allow viewing three leads. Results At baseline, only three pads were available in 96% of our 23 operating rooms. Five cables were available in eight of those surgeries, but two were taped off to the side. Surveys unveiled scarcity of equipment and, more importantly, disempowerment (i.e., knowing how to diagnose or when to treat ischemia). After several conferences, the prevalence of equipment availability of only three pads fell to 47%. Conclusions Education enumerated details of recognizing ischemic configurations of ST depression. Next, education revealed methods to interrupt the progression of ischemia to infarction such as elevated blood pressure and hematocrit, reducing heart rate, and calling a cardiology consultant if the anesthesiologist wishes to draw serial troponins. Barriers to implementing an enhanced recovery after surgery (ERAS) pathway began with a need for more access to manage stress tests or optimize blood pressure medications after a preoperative anesthesia evaluation. The intraoperative barrier was knowing what to do if ST depression occurs. Therefore, we began raising awareness by encouraging the addition of an element of a future ERAS pathway, adding a cost of only $1 to monitor lead V5. Future ERAS pathways can include preoperative stress tests and consults, as found in published guidelines.

Perioperative copeptin: predictive value and risk stratification in patients undergoing major noncardiac surgery—a prospective observational cohort study

PurposeBiomarkers can aid in perioperative risk stratification. While preoperative copeptin has been associated with adverse events, intraoperative information is lacking and this association may rather reflect a baseline risk. Knowledge about correlations between postoperative copeptin measurements and clinically relevant outcomes is scarce. We examined the association of perioperative copeptin concentrations with postoperative all-cause mortality and/or major adverse cardiac and cerebrovascular events (MACCE) at 12 months and 30 days as well as with perioperative myocardial injury (PMI).MethodsWe conducted a prospective observational cohort study of adults undergoing noncardiac surgery with intermediate to high surgical risk in Basel, Switzerland, and Düsseldorf, Germany from February 2016 to December 2020. We measured copeptin and cardiac troponin before surgery, immediately after surgery (0 hr) and once between the second and fourth postoperative day (POD 2–4).ResultsA primary outcome event of a composite of all-cause mortality and/or MACCE at 12 months occurred in 48/502 patients (9.6%). Elevated preoperative copeptin (> 14 pmol·L−1), immediate postoperative copeptin (> 90 pmol·L−1), and copeptin on POD 2–4 (> 14 pmol·L−1) were associated with lower one-year MACCE-free and/or mortality-free survival (hazard ratio [HR], 2.89; 95% confidence interval [CI], 1.62 to 5.2; HR, 2.07; 95% CI, 1.17 to 3.66; and HR, 2.47; 95% CI, 1.36 to 4.46, respectively). Multivariable analysis continued to show an association for preoperative and postoperative copeptin on POD 2–4. Furthermore, elevated copeptin on POD 2–4 showed an association with 30-day MACCE-free survival (HR, 2.15; 95% CI, 1.18 to 3.91). A total of 64 of 489 patients showed PMI (13.1%). Elevated preoperative copeptin was not associated with PMI, while immediate postoperative copeptin was modestly associated with PMI.ConclusionThe results of the present prospective observational cohort study suggest that perioperative copeptin concentrations can help identify patients at risk for all-cause mortality and/or MACCE. Other identified risk factors were revised cardiac risk index, body mass index, surgical risk, and preoperative hemoglobin.Trial registrationClinicalTrials.gov (NCT02687776); first submitted 9 February 2016.

Cardiac risk stratification and adverse outcomes in surgically managed patients with isolated traumatic spine injuries

IntroductionAs the incidence of traumatic spine injuries has been steadily increasing, especially in the elderly, the ability to categorize patients based on their underlying risk for the adverse outcomes could be of great value in clinical decision making. This study aimed to investigate the association between the Revised Cardiac Risk Index (RCRI) and adverse outcomes in patients who have undergone surgery for traumatic spine injuries.MethodsAll adult patients (18 years or older) in the 2013–2019 TQIP database with isolated spine injuries resulting from blunt force trauma, who underwent spinal surgery, were eligible for inclusion in the study. The association between the RCRI and in-hospital mortality, cardiopulmonary complications, and failure-to-rescue (FTR) was determined using Poisson regression models with robust standard errors to adjust for potential confounding.ResultsA total of 39,391 patients were included for further analysis. In the regression model, an RCRI ≥ 3 was associated with a threefold risk of in-hospital mortality [adjusted IRR (95% CI): 3.19 (2.30–4.43), p < 0.001] and cardiopulmonary complications [adjusted IRR (95% CI): 3.27 (2.46–4.34), p < 0.001], as well as a fourfold risk of FTR [adjusted IRR (95% CI): 4.27 (2.59–7.02), p < 0.001], compared to RCRI 0. The risk of all adverse outcomes increased stepwise along with each RCRI score.ConclusionThe RCRI may be a useful tool for identifying patients with traumatic spine injuries who are at an increased risk of in-hospital mortality, cardiopulmonary complications, and failure-to-rescue after surgery.

EFFECT OF ALCOHOL INTAKE AND CIGARETTE SMOKING ON LIPID PROFILE LEVELS AND SELECTED INFLAMMATORY BIOMARKERS

Background: Alcoholism and cigarette smoking pose serious health risks globally. They have a connection to several diseases that are the main causes of sickness and death. Relatively few studies have examined the effects of alcohol use and cigarette smoking on lipid profile levels and particular inflammatory biomarkers, in contrast to the substantial body of research on the effects of smoking on traditional indicators that explain the prevalence of cardiovascular diseases. Thus, we assess how lipid profile levels and certain inflammatory biomarkers are affected by alcohol consumption and cigarette smoking. Method: The study involved the recruitment of 160 participants. Data pertaining to their medical records, daily alcohol and cigarette use, and length of smoking were gathered using a structured questionnaire. The participants were divided into additional groups: smokers (40), alcoholics (40), alcoholic-smokers (40), and controls (40). Spectrophotometric analysis was used to assess the overall cholesterol, HDL-cholesterol, triglycerides, albumin, protein content in general, and CRP. LDL-cholesterol, cardiac risk Indices and atherogenic Indices were determined using Friedewald and Castelli formulas, respectively. Result: In comparison with the control group, the levels of total protein and albumin were considerably lower in smokers, alcoholics, and alcoholic-smokers (p &lt; 0.05). In contrast, CRP levels were elevated in smokers, alcoholics, and alcoholic-smokers when compared with controls. But as compared to smokers, the number of alcoholics and alcoholic-smokers is significantly lower. Serum levels of low-density lipoprotein, triglycerides, and overall cholesterol were found to be considerably higher in the groups than in the control group. In relation to the control, the groups' HDL-C levels were, however, far lower. Cardiac risk indices and atherogenic indices were significantly elevated between the groups in contrast to the control. Conclusion: This present study suggests that both cigarette smokers and alcoholics may promote systemic inflammatory processes and systemic lipid disorders. These findings may give an insight to the mechanism by which smoking, and alcohol intake promote arterial sclerosis.

Perioperativno zbrinjavanje pacijenata sa kardiovaskularnim rizikom u abdominalnoj hirurgiji

Introduction: The preparation of cardiovascular patients for different types of surgical interventions represents a challenge in an anesthesiologist's everyday practice. Its complexity depends on the severity of the underlying disease, the effects of the drug treatment, urgency, and the type of surgical intervention. Different types of scoring systems are available when it comes to the assessment of cardiovascular risk in patients during surgery. One of them, Revised Cardiac Risk Index (RCRI/Lee criteria), stands out due to its comprehensiveness and simplicity, and is thus applied most frequently. Using the example of two patients with cardiovascular disease, the aim of this paper is to show how the risk of perioperative complications can be reduced by applying a multidisciplinary approach, along with an individualized strategy and modern guidelines. Case reports: In the first case, we presented a patient with acute appendicitis. Because of angina pectoris, one month prior to the planned abdominal surgery, Percutaneous Coronary Intervention was performed placing one stent, after which dual antiplatelet drugs were prescribed. A patient with acute cholecystitis is presented in the second case. Coronary artery bypass grafting is planned within a month upon the abdominal surgery, due to a severe form of ischemic cardiomyopathy. Both patients are at high risk of myocardial damage during surgery, the first patient being at high risk of hemorrhage as well. Conclusion: The appropriate balance in the perioperative care of such patients can be achieved by a multidisciplinary approach, as well as by adapting modern guidelines to patients' individual needs.

Prognostic value of perioperative high sensitivity troponin in patients undergoing hip and knee arthroplasty

The authors conducted a prospective observational study to investigate the prognostic value of high-sensitivity Troponin I (hs-TnI) in the short- and long-term periods after orthopedic surgery, including Total Hip and Knee Arthroplasty (THA and TKA, respectively), in a tertiary orthopedic center in Brazil. Perioperative Myocardial Injury (PMI) was defined as an absolute increase in hs-TnI of ≥ 26 ng/L above preoperative values. The primary endpoint was all-cause mortality assessed at 30 days and 18 months after surgery. The secondary endpoint consisted of a composite outcome: cardiovascular death, acute myocardial infarction, angina requiring revascularization, and/or stroke. The authors compared Relative Risks (RR) of all-cause mortality and composite outcomes in patients with or without PMI at 30 days and 18 months. A Cox proportional hazards model for long-term outcomes was calculated and adjusted for age > 70 years, gender, and Revised Cardiac Risk Index (RCRI) class ≥ 2. PMI occurred in 3.4 % of all surgeries. At 30-days, 6.6 % of patients with PMI had died versus none without PMI. At 18 months, 20.0 % of PMI versus 4.7 % without PMI had died (RR = 5.0; 95 % Confidence Interval [95 % CI 1.3–19.3]). Based on composite outcomes in short and long-term periods, the RRs were 16.2 (95 % CI 2.7–96.5) and 7.7 (95 % CI 2.2–26.6), respectively. PMI was associated with all-cause mortality after 18 months and increased risk for a composite outcome (Hazard Ratio [HR = 3.97], 95 % CI 1.13–13.89 and HR = 5.80, 95 % CI 1.93–17.45, respectively). Patients with PMI who underwent THA or TKA presented worse short- and long-term prognoses compared to those without PMI.

Addition of High-Sensitivity Troponin to Perioperative Risk Assessment Improves the Predictive Ability of Death in Non-Cardiac Surgery Patients.

Risk stratification is an important step in perioperative evaluation. However, the main risk scores do not incorporate biomarkers in their set of variables. Evaluate the incremental power of troponin to the usual risk stratification. A total of 2,230 patients admitted to the intensive care unit after non-cardiac surgery were classified according to three types of risk: cardiovascular risk (CVR), Revised Cardiac Risk Index (RCRI); and inherent risk of surgery (IRS). The main outcome was all-cause mortality. Cox regression was used as well as c-statistics before and after addition of high-sensitivity troponin (at least one measurement up to three days after surgery). Finally, net reclassification index and integrated discrimination improvement were used to assess the incremental power of troponin for risk stratification. Significance level was set at 0.05. Mean age of patients was 63.8 years and 55.6% were women. The prevalence of myocardial injury after non-cardiac surgery (MINS) was 9.4%. High CVR-patients had a higher occurrence of MINS (40.1 x 24.8%, p<0.001), as well as high IRS-patients (21.3 x 13.9%, p=0.004) and those with a RCRI≥3 (3.0 x 0.7%, p=0.009). Patients without MINS, regardless of the assessed risk, had similar mortality rate. The addition of troponin to the risk assessment improved the predictive ability of death at 30 days and at 1 year in all risk assessments. The prevalence of MINS is higher in the high-risk population. However, its prevalence in lower-risk population is not negligible and causes a higher risk of death. The addition of high-sensitivity troponin increased the predictive ability of risk assessment in all groups.

Adição da Troponina Ultrassensível à Avaliação de Risco Perioperatório Melhora a Capacidade Preditiva de Morte em Pacientes Submetidos à Cirurgia Não Cardíaca

Abstract Background Risk stratification is an important step in perioperative evaluation. However, the main risk scores do not incorporate biomarkers in their set of variables. Objective Evaluate the incremental power of troponin to the usual risk stratification Methods A total of 2,230 patients admitted to the intensive care unit after non-cardiac surgery were classified according to three types of risk: cardiovascular risk (CVR), Revised Cardiac Risk Index (RCRI); and inherent risk of surgery (IRS). The main outcome was all-cause mortality. Cox regression was used as well as c-statistics before and after addition of high-sensitivity troponin (at least one measurement up to three days after surgery). Finally, net reclassification index and integrated discrimination improvement were used to assess the incremental power of troponin for risk stratification. Significance level was set at 0.05. Results Mean age of patients was 63.8 years and 55.6% were women. The prevalence of myocardial injury after non-cardiac surgery (MINS) was 9.4%. High CVR-patients had a higher occurrence of MINS (40.1 x 24.8%, p&lt;0.001), as well as high IRS-patients (21.3 x 13.9%, p=0.004) and those with a RCRI≥3 (3.0 x 0.7%, p=0.009). Patients without MINS, regardless of the assessed risk, had similar mortality rate. The addition of troponin to the risk assessment improved the predictive ability of death at 30 days and at 1 year in all risk assessments. Conclusion The prevalence of MINS is higher in the high-risk population. However, its prevalence in lower-risk population is not negligible and causes a higher risk of death. The addition of high-sensitivity troponin increased the predictive ability of risk assessment in all groups.

Is Red Cell Distribution Width Correlated with Mortality in Geriatric Patients Undergoing Hip Fracture Surgery: A Prospective Observational Study

Introduction: Our study aimed to determine the impact of preoperative red blood cell distribution width on length of intensive care unit and hospital stays, and short- and long-term mortality in elderly patients undergoing hip fracture surgery. Materials and Method: This prospective cohort study included 414 patients aged 65 and older who presented with hip fractures between November 2021 and November 2022. Patients’ demographic characteristics, American Society of Anesthesiologists score, Revised Cardiac Risk Index, comorbidities, and preoperative complete blood counts (hemoglobin, red blood cell distribution width, platelet count, etc.) were recorded at the preoperative visit. Length of intensive care unit and hospital stays were documented postoperatively. Patients were followed for one year after surgery in terms of mortality. Results: Patients with high red blood cell distribution width levels (≥14.25%) were older, had more comorbidities, and had higher American Society of Anesthesiologists score and Revised Cardiac Risk Index scores (p&lt;0.001). In the high red blood cell distribution width group, length of hospital stays was longer (p&lt;0.001). There was no significant difference between red blood cell distribution width groups in terms of intensive care unit stay duration and readmissions (p=0.304 and p=0.664, respectively). According to the multivariate logistic regression analysis, an red blood cell distribution width of ≥14.25 was found to increase the risk of 30-day mortality by 4.7 times and 1-year mortality by 2.74 times. Conclusion: Red blood cell distribution width is a useful, practical, and cost-effective indicator of short- and long-term mortality in elderly patients undergoing hip fracture surgery. Keywords: Aged; Anemia; Hip fracture; Mortality.

Predictors of outcomes in geriatric patients with moderate traumatic brain injury after ground level falls.

The elderly population constitutes one of the fastest-growing demographic groups globally. Within this population, mild to moderate traumatic brain injuries (TBI) resulting from ground level falls (GLFs) are prevalent and pose significant challenges. Between 50 and 80% of TBIs in older individuals are due to GLFs. These incidents result in more severe outcomes and extended recovery periods for the elderly, even when controlling for injury severity. Given the increasing incidence of such injuries it becomes essential to identify the key factors that predict complications and in-hospital mortality. Therefore, the aim of this study was to pinpoint the top predictors of complications and in-hospital mortality in geriatric patients who have experienced a moderate TBI following a GLF. Data were obtained from the American College of Surgeons' Trauma Quality Improvement Program database. A moderate TBI was defined as a head AIS ≤ 3 with a Glasgow Coma Scale (GCS) 9-13, and an AIS ≤ 2 in all other body regions. Potential predictors of complications and in-hospital mortality were included in a logistic regression model and ranked using the permutation importance method. A total of 7,489 patients with a moderate TBI were included in the final analyses. 6.5% suffered a complication and 6.2% died prior to discharge. The top five predictors of complications were the need for neurosurgical intervention, the Revised Cardiac Risk Index, coagulopathy, the spine abbreviated injury severity scale (AIS), and the injury severity score. The top five predictors of mortality were head AIS, age, GCS on admission, the need for neurosurgical intervention, and chronic obstructive pulmonary disease. When predicting both complications and in-hospital mortality in geriatric patients who have suffered a moderate traumatic brain injury after a ground level fall, the most important factors to consider are the need for neurosurgical intervention, cardiac risk, and measures of injury severity. This may allow for better identification of at-risk patients, and at the same time resulting in a more equitable allocation of resources.

Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study

Preoperative risk assessments used in clinical practice are insufficient in their ability to identify risk for postoperative mortality. Deep-learning analysis of electrocardiography can identify hidden risk markers that can help to prognosticate postoperative mortality. We aimed to develop a prognostic model that accurately predicts postoperative mortality in patients undergoing medical procedures and who had received preoperative electrocardiographic diagnostic testing. In a derivation cohort of preoperative patients with available electrocardiograms (ECGs) from Cedars-Sinai Medical Center (Los Angeles, CA, USA) between Jan 1, 2015 and Dec 31, 2019, a deep-learning algorithm was developed to leverage waveform signals to discriminate postoperative mortality. We randomly split patients (8:1:1) into subsets for training, internal validation, and final algorithm test analyses. Model performance was assessed using area under the receiver operating characteristic curve (AUC) values in the hold-out test dataset and in two external hospital cohorts and compared with the established Revised Cardiac Risk Index (RCRI) score. The primary outcome was post-procedural mortality across three health-care systems. 45 969 patients had a complete ECG waveform image available for at least one 12-lead ECG performed within the 30 days before the procedure date (59 975 inpatient procedures and 112 794 ECGs): 36 839 patients in the training dataset, 4549 in the internal validation dataset, and 4581 in the internal test dataset. In the held-out internal test cohort, the algorithm discriminates mortality with an AUC value of 0·83 (95% CI 0·79-0·87), surpassing the discrimination of the RCRI score with an AUC of 0·67 (0·61-0·72). The algorithm similarly discriminated risk for mortality in two independent US health-care systems, with AUCs of 0·79 (0·75-0·83) and 0·75 (0·74-0·76), respectively. Patients determined to be high risk by the deep-learning model had an unadjusted odds ratio (OR) of 8·83 (5·57-13·20) for postoperative mortality compared with an unadjusted OR of 2·08 (0·77-3·50) for postoperative mortality for RCRI scores of more than 2. The deep-learning algorithm performed similarly for patients undergoing cardiac surgery (AUC 0·85 [0·77-0·92]), non-cardiac surgery (AUC 0·83 [0·79-0·88]), and catheterisation or endoscopy suite procedures (AUC 0·76 [0·72-0·81]). A deep-learning algorithm interpreting preoperative ECGs can improve discrimination of postoperative mortality. The deep-learning algorithm worked equally well for risk stratification of cardiac surgeries, non-cardiac surgeries, and catheterisation laboratory procedures, and was validated in three independent health-care systems. This algorithm can provide additional information to clinicians making the decision to perform medical procedures and stratify the risk of future complications. National Heart, Lung, and Blood Institute.

Association of Cardiac Valve Calcification and 1-year Mortality after Lower-extremity Amputation in Diabetic Patients: A Retrospective Study.

Cardiac valve calcification predisposes patients to a higher risk of adverse cardiovascular events. This study aimed to investigate the association between cardiac valve calcification and 1-year mortality in diabetic patients after lower-extremity amputation. This was a retrospective study conducted on the clinical data of diabetic patients who underwent lower-extremity amputation admitted to the Sun Yat-sen Memorial Hospital, Guangzhou, Guangdong, China for diabetic foot ulcers needed lower extremity amputation surgery between July 2017 and March 2021. Detailed preoperative medical assessments were performed and recorded. Cardiac valve calcification was assessed using echocardiography at baseline. Oneyear follow-up assessments were conducted and included clinical visits, hospital record assessments, and telephone reviews to obtain the survival status of patients. Ninety-three diabetic patients participated in the study. The 1-year follow-up mortality rate after amputation was 24.7%. Compared to the survival group, the prevalence of cardiac valve calcification and the Revised Cardiac Risk Index (RCRI) were higher in the mortality group. In the Cox regression analysis, cardiac valvular calcification (HR=3.427, 95% CI=1.125- 10.443, p =0.030) was found to be an independent predictor of all-cause mortality after amputation. In addition, the patients with both aortic valve calcification and mitral annular calcification had a higher all-cause mortality rate (50%). Receiver operator characteristic curve analysis showed a stronger predictive ability when using a combination of calcified valve number and RCRI (AUC=0.786 95%, CI=0.676-0.896, p =0.000). In diabetic patients after lower-extremity amputation, cardiac valve calcification was associated with all-cause mortality during 1-year follow-up. Combination of calcified valve number and RCRI score showed a stronger predictive value for mortality.

Enhancing predictive accuracy of the cardiac risk score in open abdominal aortic surgery: the role of left ventricular wall motion abnormalities.

Open abdominal aortic surgery carries many potential complications, with cardiac adverse events being the most significant concern. The Vascular Study Group Cardiac Risk Index (VSG-CRI) is a commonly used tool for predicting severe cardiac complications and guiding clinical decision-making. However, despite the potential prognostic significance of left ventricular wall motion abnormalities (LVWMAs) and reduced LV ejection fraction (LVEF) for adverse outcomes, the VSG-CRI model has not accounted for them. Hence, the main objective of this study was to analyze the added value of LV wall motion on the discriminatory power of the modified VSG-CRI in predicting major postoperative cardiac complications. A prospective study was conducted involving 271 patients who underwent elective abdominal aortic surgery between 2019 and 2021. VSG-CRI scores were calculated, and preoperative transthoracic echocardiography was conducted for all patients. Subsequently, a modified version of the VSG-CRI, accounting for reduced LVEF and LVWMAs, was developed and incorporated into the dataset. The postoperative incidence of the composite endpoint of major adverse cardiac events (MACEs), including myocardial infarction, clinically relevant arrhythmias treated with medicaments or by cardioversion, or congestive heart failure, was assessed at discharge from the index hospitalization, with adjudicators blinded to events. The predictive accuracy of both the original and modified VSG-CRI was assessed using C-Statistics. In total, 61 patients (22.5%) experienced MACEs. Among these patients, a significantly higher proportion had preoperative LVWMAs compared to those without (62.3% vs. 32.9%, p < 0.001). Multivariable regression analysis revealed the VSG-CRI [odds ratio (OR) 1.46, 95% confidence interval (CI) 1.21-1.77; p < 0.001] and LVWMA (OR 2.76; 95% CI 1.46-5.23; p = 0.002) as independent predictors of MACEs. Additionally, the modified VSG-CRI model demonstrated superior predictability compared to the baseline VSG-CRI model, suggesting an improved predictive performance for anticipating MACEs following abdominal aortic surgery [area under the curve (AUC) 0.74; 95% CI 0.68-0.81 vs. AUC 0.70; 95% CI 0.63-0.77; respectively]. The findings of this study suggest that incorporating preoperative echocardiography can enhance the predictive accuracy of the VSG-CRI for predicting MACEs after open abdominal aortic surgery. Before its implementation in clinical settings, external validation is necessary to confirm the generalizability of this newly developed predictive model across different populations.

Development and Internal Validation of a Nomogram for Predicting Postoperative Cardiac Events in Elderly Hip Fracture Patients.

Postoperative cardiac events (PCEs) are among the main adverse events after hip fracture surgery in the elderly. Existing cardiac risk assessment tools have some limitations and are not specifically designed for elderly patients undergoing hip fracture surgery. This study aimed to develop and internally validate a nomogram for prediction of PCEs in these patients. We performed a retrospective study of 992 patients aged ≥65 years undergoing hip fracture surgery in our hospital from July 2015 to December 2021. Patients' demographics and clinical data were collected. Least Absolute Shrinkage and Selection Operator (LASSO) regression was used to select predictors, and multivariate logistic regression was employed to construct a nomogram. Internal validation was performed by bootstrapping. The discriminatory ability of the model was determined by the area under the receiver operating characteristic curve (AUC). The calibration and clinical utility of the model were assessed. The predictive power and clinical benefit of the nomogram were compared with the Revised Cardiac Risk Index (RCRI). The nomogram was constructed including seven variables: general anesthesia, the American Society of Anesthesiologists (ASA) classification, history of heart failure, history of severe arrhythmia, history of coronary artery disease, preoperative platelet count, and serum creatinine. The nomogram had an excellent predictive ability (AUC = 0.875, 95% confidence interval [CI]: 0.828-0.918). Satisfactory calibration was shown by calibration plots and the Hosmer-Lemeshow goodness-of-fit test (P = 0.520). Clinical usefulness was confirmed by decision curve analysis and clinical impact curve. The predictive power and clinical utility of the nomogram were superior to RCRI. We developed an easy-to-use nomogram for prediction of PCEs in elderly hip fracture patients. This prediction model could effectively identify patients at high risk of PCEs and may be useful for perioperative management optimization.