The impact of being in the COVID-19 pandemic on in-hospital mortality of non-infected patients aged 80 years and older with ST-elevation myocardial ınfarction

The COVID-19 outbreak in late 2019 was declared a pandemic by the World Health Organization(WHO)on March 12,2020.[1]As of the latest WHO data,COVID-19 has caused over 770 million cases and nearly 7 million deaths worldwide.[2]Hospitalizations due to COVID-19 are correlated with advanced age.[3,4]According to re-ports,individuals over the age of 65 account for 80%of COVID-19-related deaths.[3,4]This is primar-ily due to the increased burden of comorbidity with age.

Impact of D-dimer on in-hospital mortality following aortic dissection:A systematic review and meta-analysis

BACKGROUND The utility of D-dimer(DD)as a biomarker for acute aortic dissection(AD)is recognized.Yet,its predictive value for in-hospital mortality remains uncertain and subject to conflicting evidence.AIM To conduct a meta-analysis of AD-related in-hospital mortality(ADIM)with elevated DD levels.METHODS We searched PubMed,Scopus,Embase,and Google Scholar for AD and ADIM literature through May 2022.Heterogeneity was assessed using I2 statistics and effect size(hazard or odds ratio)analysis with random-effects models.Sample size,study type,and patients’mean age were used for subgroup analysis.The significance threshold was P<0.05.RESULTS Thirteen studies(3628 patients)were included in our study.The pooled prevalence of ADIM was 20%(95%CI:15%-25%).Despite comparable demographic characteristics and comorbidities,elevated DD values were associated with higher ADIM risk(unadjusted effect size:1.94,95%CI:1.34-2.8;adjusted effect size:1.12,95%CI:1.05-1.19,P<0.01).Studies involving patients with a mean age of<60 years exhibited an increased mortality risk(effect size:1.43,95%CI:1.23-1.67,P<0.01),whereas no significant difference was observed in studies with a mean age>60 years.Prospective and larger sample size studies(n>250)demonstrated a heightened likelihood of ADIM associated with elevated DD levels(effect size:2.57,95%CI:1.30-5.08,P<0.01 vs effect size:1.05,95%CI:1.00-1.11,P=0.05,respectively).CONCLUSION Our meta-analysis shows elevated DD increases in-hospital mortality risk in AD patients,highlighting the need for larger,prospective studies to improve risk prediction models.

Development and validation of a nomogram for predicting in-hospital mortality of intensive care unit patients with liver cirrhosis

BACKGROUND Liver cirrhosis patients admitted to intensive care unit(ICU)have a high mortality rate.AIM To establish and validate a nomogram for predicting in-hospital mortality of ICU patients with liver cirrhosis.METHODS We extracted demographic,etiological,vital sign,laboratory test,comorbidity,complication,treatment,and severity score data of liver cirrhosis patients from the Medical Information Mart for Intensive Care IV(MIMIC-IV)and electronic ICU(eICU)collaborative research database(eICU-CRD).Predictor selection and model building were based on the MIMIC-IV dataset.The variables selected through least absolute shrinkage and selection operator analysis were further screened through multivariate regression analysis to obtain final predictors.The final predictors were included in the multivariate logistic regression model,which was used to construct a nomogram.Finally,we conducted external validation using the eICU-CRD.The area under the receiver operating characteristic curve(AUC),decision curve,and calibration curve were used to assess the efficacy of the models.RESULTS Risk factors,including the mean respiratory rate,mean systolic blood pressure,mean heart rate,white blood cells,international normalized ratio,total bilirubin,age,invasive ventilation,vasopressor use,maximum stage of acute kidney injury,and sequential organ failure assessment score,were included in the multivariate logistic regression.The model achieved AUCs of 0.864 and 0.808 in the MIMIC-IV and eICU-CRD databases,respectively.The calibration curve also confirmed the predictive ability of the model,while the decision curve confirmed its clinical value.CONCLUSION The nomogram has high accuracy in predicting in-hospital mortality.Improving the included predictors may help improve the prognosis of patients.

Predictive value of neutrophil-to-lymphocyte ratio in in-hospital mortality in sepsis patients:A cross-sectional study

Objective:To explore the predictive value of neutrophil-to-lymphocyte ratio(NLR)in in-hospital mortality in sepsis patients.Methods:A prospective observational cross-sectional study was conducted on 100 patients with septicemia.The data about the patient’s demography,medical history,general examination including pulse rate,blood pressure,etc,use of vasopressor support,need for renal replacement therapy,mechanical ventilation,outcome,and lab parameters including total lymphocyte count with neutrophil-to-lymphocyte ratio were recorded.And parameters between survivals and non-survivals were compared.Results:Out of 100 patients,80%were from rural backgrounds.Most patients were 50 to 59 years old.26 Patients were dead.The patients in the nonsurvivor group were older and more had a history of diabetes mellitus when compared with the survivor group.The non-survivor group had a higher NLR,APACHE栻,and SOFA score.Conclusions:NLR is a readily available parameter and can be used as a good prognostic indicator for mortality in sepsis patients.

Recurrent stroke admissions with vs without COVID-19 and associated in-hospital mortality: A United States nationwide analysis, 2020

BACKGROUND Coronavirus disease 2019(COVID-19)has been shown to increase the risk of stroke.However,the prevalence and risk of recurrent stroke in COVID-19 patients with prior stroke/transient ischemic attack(TIA),as well as its impact on mor-tality,are not established.AIM To evaluate the impact of COVID-19 on in-hospital mortality,length of stay,and healthcare costs in patients with recurrent strokes.METHODS We identified admissions of recurrent stroke(current acute ischemic stroke admissions with at least one prior TIA or stroke)in patients with and without COVID-19 using ICD-10-CM codes using the National Inpatient Sample(2020).We analyzed the impact of COVID-19 on mortality following recurrent stroke admissions by subgroups.RESULTS Of 97455 admissions with recurrent stroke,2140(2.2%)belonged to the COVID-19-positive group.The COVID-19-positive group had a higher prevalence of diabetes and chronic kidney disease vs the COVID-19 negative group(P<0.001).Among the subgroups,patients aged>65 years,patients aged 45–64 years,Asians,Hispanics,whites,and blacks in the COVID-19 positive group had higher rates of all-cause mortality than the COVID-19 negative group(P<0.01).Higher odds of in-hospital mortality were seen in the group aged 45-64(OR:8.40,95%CI:4.18-16.91)vs the group aged>65(OR:7.04,95%CI:5.24-9.44),males(OR:7.82,95%CI:5.38-11.35)compared to females(OR:6.15,95%CI:4.12-9.18),and in Hispanics(OR:15.47,95%CI:7.61-31.44)and Asians/Pacific Islanders(OR:14.93,95%CI:7.22-30.87)compared to blacks(OR:5.73,95%CI:3.08-10.68),and whites(OR:5.54,95%CI:3.79-8.09).CONCLUSION The study highlights the increased risk of all-cause in-hospital mortality in recurrent stroke patients with COVID-19,with a more pronounced increase in middle-aged patients,males,Hispanics,or Asians.

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

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

Development and validation of an emergency bloodstream infection score for predicting in-hospital mortality in patients with community-acquired bloodstream infections

BACKGROUND:Community-acquired bloodstream infections(CABSIs)are common in the emergency departments,and some progress to sepsis and even lead to death.However,limited information is available regarding the prediction of patients with high risk of death.METHODS:The Emergency Bloodstream Infection Score(EBS)for CABSIs was developed to visualize the output of a logistic regression model and was validated by the area under the curve(AUC).The Mortality in Emergency Department Sepsis(MEDS),Pitt Bacteremia Score(PBS),Sequential Organ Failure Assessment(SOFA),quick Sequential Organ Failure Assessment(qSOFA),Charlson Comorbidity Index(CCI),and McCabe–Jackson Comorbid Classification(MJCC)for patients with CABSIs were computed to compare them with EBS in terms of the AUC and decision curve analysis(DCA).The net reclassification improvement(NRI)index and integrated discrimination improvement(IDI)index were compared between the SOFA and EBS.RESULTS:A total of 547 patients with CABSIs were included.The AUC(0.853)of the EBS was larger than those of the MEDS,PBS,SOFA,and qSOFA(all P<0.001).The NRI index of EBS in predicting the in-hospital mortality of CABSIs patients was 0.368(P=0.04),and the IDI index was 0.079(P=0.03).DCA showed that when the threshold probability was<0.1,the net benefit of the EBS model was higher than those of the other models.CONCLUSION:The EBS prognostic models were better than the SOFA,qSOFA,MEDS,and PBS models in predicting the in-hospital mortality of patients with CABSIs.

Comparison of Child-Pugh, MELD, MELD-Na, and ALBI Scores in Predicting In-Hospital Mortality in Patients with HCC

Background & Objectives: Hepatocellular carcinoma (HCC) leads to high morbidity and mortality. Various models have been proposed for predicting the outcome of patients with HCC. We aim to compare the prognostic abilities of Child-Pugh, MELD, MELD-Na, and ALBI scores for predicting in-hospital mortality of HCC. Methods: We enrolled patients diagnosed with liver cirrhosis and HCC from May 2017 through May 2018. We further divided eligible patients into hepatitis B virus (HBV), patients without ascites, and patients with ascites subgroups. Areas under the characteristic curves (AUCs) were analyzed. Results: A total of 495 patients were included in the study. We collected data on patients at admission. A majority of patients were infected with HBV (91.5%). None of them were complicated with hepatic encephalopathy. Only 14.9% of patients presented with ascites. In the whole population, AUCs with 95% confidence interval (CI) of Child-Pugh, ALBI, MELD, and MELD-Na scores in predicting in-hospital mortality were 0.889 (95% CI: 0.858 - 0.915), 0.849 (95% CI: 0.814 - 0.879), 0.669 (95% CI: 0.626 - 0.711), and 0.721 (95% CI: 0.679 - 0.760), respectively. In the patients without ascites subgroup, Child-Pugh showed better discriminatory ability than ALBI score in predicting in-hospital mortality (P = 0.0002), while there were no significant differences among other comparisons. Conclusions: Child-Pugh and ALBI may be useful predictors for predicting in-hospital mortality in whole patients, in patients with HBV infection, and in patients without ascites. In HCC patients with ascites, MELD-Na may be effective for predicting in-hospital mortality.

Shock Index,Modified Shock Index,and Age-Adjusted Shock Index in Predicting the In-Hospital Mortality in Patients with Heart Failure and Chronic Kidney Disease

Patients with heart failure(HF)often have a poor prognosis,with high morbidity and mortality.In the Chinese adult population,the prevalence of HF increased by 44%in the past 15 years,which was1.3%[1].HF is often associated with multiple organ disorders[2].

Triglyceride glucose index predicts in-hospital mortality in patients with ST-segment elevation myocardial infarction who underwent primary angiography

OBJECTIVES To assess the correlation between triglyceride glucose(TyG)index and in-hospital mortality in patients with ST-segment elevation myocardial infarction(STEMI).METHODS A total of 2190 patients with STEMI who underwent primary angiography within 12 h from symptom onset were selected from the prospective,nationwide,multicenter CAMI registry.TyG index was calculated with the formula:Ln[fasting triglycerides(mmol/L)×fasting glucose(mmol/L)/2].Patients were divided into three groups according to the tertiles of TyG index.The primary endpoint was in-hospital mortality.RESULTS Overall,46 patients died during hospitalization,in-hospital mortality was 1.5%,2.2%,2.6%for tertile 1,tertile 2,and tertile 3,respectively.However,TyG index was not significantly correlated with in-hospital mortality in single-variable logistic regression analysis.Nonetheless,after adjusting for age and sex,TyG index was significantly associated with higher mortality when regarded as a continuous variable(adjusted OR=1.75,95%CI:1.16-2.63)or categorical variable(tertile 3 vs.tertile 1:adjus-ted OR=2.50,95%CI:1.14-5.49).Furthermore,TyG index,either as a continuous variable(adjusted OR=2.54,95%CI:1.42-4.54)or categorical variable(tertile 3 vs.tertile 1:adjusted OR=3.57,95%CI:1.24-10.29),was an independent predictor of in-hospital mortality after adjusting for multiple confounders in multivariable logistic regression analysis.In subgroup analysis,the pro-gnostic effect of high TyG index was more significant in patients with body mass index<18.5 kg/m2(P interaction=0.006).CONCLUSIONS This study showed that TyG index was positively correlated with in-hospital mortality in STEMI patients who underwent primary angiography,especially in underweight patients.

The Value of Prealbumin and its Combination with NT-proBNP for Predicting in-hospital Mortality in Patients with Heart Failure:Real-World Research Based on Propensity Score Matching

In recent years,extended life expectancies and lifestyle changes have markedly contributed to the increased incidence of heart failure(HF)worldwide[1].In China,while the age of patients with chronic HF has increased annually,the mortality rate has not decreased significantly[1].

Characteristics and in-hospital mortality of elderly patients with heart failure in Spanish hospitals

BACKGROUND The prevalence of heart failure(HF)increases with age,and it is one of the leading causes of hospitalization and death in older patients.However,there are little data on in-hospital mortality in patients with HF≥75 years in Spain.METHODS A retrospective analysis of the Spanish Minimum Basic Data Set was performed,including all HF episodes discharged from public hospitals in Spain between 2016 and 2019.Coding was performed using the International Classification of Diseases,10th Revision.Patients≥75 years with HF as the principal diagnosis were selected.We calculated:(1)the crude in-hospital mortality rate and its distribution according to age and sex;(2)the risk-standardized in-hospital mortality ratio;and(3)the association between in-hospital mortality and the availability of an intensive cardiac care unit(ICCU)in the hospital.RESULTS We included 354,792 HF episodes of patients over 75 years.The mean age was 85.2±5.5 years,and 59.2%of patients were women.The most frequent comorbidities were renal failure(46.1%),diabetes mellitus(35.5%),valvular disease(33.9%),cardiorespiratory failure(29.8%),and hypertension(26.9%).In-hospital mortality was 12.7%,and increased with age[odds ratio(OR)=1.07,95%CI:1.07–1.07,P<0.001]and was lower in women(OR=0.96,95%CI:0.92–0.97,P<0.001).The main predictors of mortality were the presence of cardiogenic shock(OR=19.5,95%CI:16.8–22.7,P<0.001),stroke(OR=3.5,95%CI:3.0–4.0,P<0.001)and advanced cancer(OR=2.6,95%CI:2.5–2.8,P<0.001).In hospitals with ICCU,the in-hospital risk-adjusted mortality tended to be lower(OR=0.85,95%CI:0.72–1.00,P=0.053).CONCLUSIONS In-hospital mortality in patients with HF≥75 years between 2016 and 2019 was 12.7%,higher in males and elderly patients.The main predictors of mortality were cardiogenic shock,stroke,and advanced cancer.There was a trend toward lower mortality in centers with an ICCU.

Novel CABIN score outperforms other prognostic models in predicting in-hospital mortality after salvage transjugular intrahepatic portosystemic shunting

BACKGROUND Transjugular intrahepatic portosystemic shunt(TIPS)is now established as the salvage procedure of choice in patients who have uncontrolled or severe recurrent variceal bleeding despite optimal medical and endoscopic treatment.AIM To analysis compared the performance of eight risk scores to predict in-hospital mortality after salvage TIPS(sTIPS)placement in patients with uncontrolled variceal bleeding after failed medical treatment and endoscopic intervention.METHODS Baseline risk scores for the Acute Physiology and Chronic Health Evaluation(APACHE)II,Bonn TIPS early mortality(BOTEM),Child-Pugh,Emory,FIPS,model for end-stage liver disease(MELD),MELD-Na,and a novel 5 category CABIN score incorporating Creatinine,Albumin,Bilirubin,INR and Na,were calculated before sTIPS.Concordance(C)statistics for predictive accuracy of inhospital mortality of the eight scores were compared using area under the receiver operating characteristic curve(AUROC)analysis.RESULTS Thirty-four patients(29 men,5 women),median age 52 years(range 31-80)received sTIPS for uncontrolled(11)or refractory(23)bleeding between August 1991 and November 2020.Salvage TIPS controlled bleeding in 32(94%)patients with recurrence in one.Ten(29%)patients died in hospital.All scoring systems had a significant association with in-hospital mortality(P<0.05)on multivariate analysis.Based on in-hospital survival AUROC,the CABIN(0.967),APACHE II(0.948)and Emory(0.942)scores had the best capability predicting mortality compared to FIPS(0.892),BOTEM(0.877),MELD Na(0.865),Child-Pugh(0.802)and MELD(0.792).CONCLUSION The novel CABIN score had the best prediction capability with statistical superiority over seven other risk scores.Despite sTIPS,hospital mortality remains high and can be predicted by CABIN category B or C or CABIN scores>10.Survival was 100%in CABIN A patients while mortality was 75%for CABIN B,87.5%for CABIN C,and 83%for CABIN scores>10.

Prognostic Value of Neutrophil to Lymphocyte Ratio for In-hospital Mortality in Elderly Patients with Acute Myocardial Infarction

Coronary artery disease （CAD） is a multifactorial disease in which inflammation plays a central role. This study aimed to investigate the association of inflammatory markers such as the neutrophil to lymphocyte ratio （NLR）, the Global Registry of Acute Coronary Events （GRACE） score with in-hospital mortality of elderly patients with acute myocardial infarction （AMI） in an attempt to explore the prognostic value of these indices for elderly AMI patients. One thousand consecutive CAD patients were divided into two groups based on age 60. The laboratory and clinical characteristics were assessed retrospectively by reviewing the medical records. The NLR and GRACE score were calculated. In the elderly （〉60 years）, patients with non-ST-elevation myocardial infarction （NSTEMI） and ST-elevation myocardial infarction （STEMI） had significantly higher NLR than did those with unstable angina （UA） and stable angina pectoris （SAP） （P〈0.01）. The NLR was considerably elevated in older AMI patients compared with their younger counterparts （〈60 years） （P〈0.05）. In elderly AMI patients, the NLR was considerably higher in the high-risk group than in both the low-risk and mediumrisk groups based on the GRACE score （P〈0.05 and P〈0.01, respectively）, and the NLR was positively correlated with the GRACE score （r=0.322, P〈0.001）. Either the NLR level or the GRACE score was significantly higher in the death group than in the surviving group （P〈0.05）. By curve receiver operator characteristic curve （ROC） analysis, the optimal cut-off levels of 9.41 for NLR and 174 for GRACE score predicted in-hospital death [ROC area under the curve （AUC） 0.771 and 0.787, respectively, P〈0.001]. It was concluded that an elevated NLR is a potential predictor of in-hospital mortality in elderly patients with AMI.

Comparison of different versions of the quick sequential organ failure assessment for predicting in-hospital mortality of sepsis patients:A retrospective observational study

BACKGROUND:The quick sequential organ failure assessment(qSOFA)is recommended to identify sepsis and predict sepsis mortality.However,some studies have recently shown its poor performance in sepsis mortality prediction.To enhance its effectiveness,researchers have developed various revised versions of the qSOFA by adding other parameters,such as the lactate-enhanced qSOFA(LqSOFA),the procalcitonin-enhanced qSOFA(PqSOFA),and the modified qSOFA(MqSOFA).This study aimed to compare the performance of these versions of the qSOFA in predicting sepsis mortality in the emergency department(ED).METHODS:This retrospective study analyzed data obtained from an electronic register system of adult patients with sepsis between January 1 and December 31,2019.Receiver operating characteristic(ROC)curve analyses were performed to determine the area under the curve(AUC),with sensitivity,specificity,and positive and negative predictive values calculated for the various scores.RESULTS:Among the 936 enrolled cases,there were 835 survivors and 101 deaths.The AUCs of the LqSOFA,MqSOFA,PqSOFA,and qSOFA were 0.740,0.731,0.712,and 0.705,respectively.The sensitivity of the LqSOFA,MqSOFA,PqSOFA,and qSOFA were 64.36%,51.40%,71.29%,and 39.60%,respectively.The specificity of the four scores were 70.78%,80.96%,61.68%,and 91.62%,respectively.The LqSOFA and MqSOFA were superior to the qSOFA in predicting in-hospital mortality.CONCLUSIONS:Among patients with sepsis in the ED,the performance of the PqSOFA was similar to that of the qSOFA and the values of the LqSOFA and MqSOFA in predicting in-hospital mortality were greater compared to qSOFA.As the added parameter of the MqSOFA was more convenient compared to the LqSOFA,the MqSOFA could be used as a candidate for the revised qSOFA to increase the performance of the early prediction of sepsis mortality.

Patterns of in-hospital mortality and bleeding complications following PCI for very elderly patients： insights from the Dartmouth Dynamic Registry

Background Very elderly patients （age 〉 85 years） are a rapidly increasing segment of the population. As a group, they experience high rates of in-hospital mortality and bleeding complications following percutaneous coronary intervention （PCI）. However, the relationship between bleeding and mortality in the very elderly is unknown. Methods Retrospective review was performed on 17,378 consecutive PCI procedures from 2000 to 2015 at Dartmouth-Hitchcock Medical Center. Incidence of bleeding during the index PCI admission （bleeding requiring transfusion, access site hematoma 〉 5 cm, pseudoaneurysm, and retroperitoneal bleed） and in-hospital mortality were reported for four age groups （〈 65 years, 65-74 years, 75-84 years, and ≥ 85 years）. The mortality of patients who suffered bleeding complications and those who did not was calculated and multivariate analysis was performed for in-hospital mortality. Lastly, known predictors of bleeding were compared between patients age 〈 85 years and age ≥85 years. Results Of 17,378 patients studied, 1019 （5.9%） experienced bleeding and 369 （2.1%） died in-hospital following PCI. Incidence of bleeding and in-hospital mortality increased monotonically with increasing age （mortality： 0.94%, 2.27%, 4.24% and 4.58%; bleeding： 3.96%, 6.62%, 10.68% and 13.99% for ages 〈 65, 65-4, 75-84 and ≥ 85 years, respectively）. On multivariate analysis, bleeding was associated with increased mortality for all age groups except patients age ≥85 years [odds ratio （95% CI）： age 〈 65 years, 3.65 （1.99-6.74）; age 65-74 years, 2.83 （1.62-4.94）; age 75-84 years, 3.86 （2.56-5.82）, age ≥ 85 years 1.39 （0.49-3.95）]. Conclusions Bleeding and mortality following PCI increase with increasing age. For the very elderly, despite high rates of bleeding, bleeding is no longer predictive of in-hospital mortality following PCI.

Comprehensive Level One Trauma Center Could Lower In-hospital Mortality of Severe Trauma in China

Trauma is a major health and social problem in the US and China, It constitutes the main cause of death in people aged 45 or under in both countries112]. There is clear evidence from clinical studies that a large percentage of these deaths are needless and preventable if better treatment and prevention programs are available12-3].

High-density Lipoprotein Cholesterol and In-hospital Mortality in Patients with Acute Aortic Dissection

The association between high-density lipoprotein cholesterol（HDL-C） and mortality in patients with acute aortic dissection（AAD） is unclear. From January 2007 to January 2014, a total of 928 consecutive AAD patients who were admitted within 48 h after the onset of symptoms were enrolled in the study. Patients were divided into two groups according to whether serum HDL-C level was below the normal lower limit or not. The Cox proportional hazard regression model was used to identify the predictive value of HDL-C for in-hospital mortality in patients with AAD. As compared with normal HDL-C group（n=585）, low HDL-C group（n=343） had lower levels of systolic blood pressure and hemoglobin and higher levels of leukocyte, alanine aminotransferase, blood glucose, blood urea nitrogen, creatinine and urea acid. Low HDL-C group had significantly higher in-hospital mortality than normal HDL-C group（21.6% vs. 12.6%, log-rank=10.869, P=0.001）. After adjustment for baseline variables including demographics and biologic data, the increased risk of in-hospital mortality in low HDL-C group was substantially attenuated and showed no significant difference（adjusted hazard ratio, 1.23; 95% confidence interval, 0.86–1.77; P=0.259）. Low HDL-C is strongly but not independently associated with in-hospital mortality in patients with AAD.

Predictive value of SinoSCORE on in-hospital mortality and postoperative complications after coronary artery bypass surgery

Objective To evaluate the performance of the Sino System for Coronary Operative Risk Evaluation (SinoSCORE) on in hospital mortality and postoperative complications in patients undergoing coronary artery bypass grafting (CABG) in a single heart center. Methods From January 2007 to December 2008,clinical information of 201 consecutive patients undergoing isolated CABG in our hospital was collected. The SinoSCORE was used to

The Relationship Between Mean Platelet Volume and In-Hospital Mortality in Geriatric Patients with ST Segment Elevation Myocardial Infarction Who Underwent Primary Percutaneous Coronary Intervention

Objective:We planned to investigate the effect of mean platelet volume(MPV)on in-hospital mortality and coronary risk factors in geriatric patients with ST segment elevation myocardial infarction(STEMI)who underwent primary percutaneous coronary intervention(PCI).Methods:We enrolled 194 consecutive STEMI patients.The study population was divided into two groups on the basis of admission MPVs.The high-MPV group(n=49)included patients in the highest tertile(>8.9 fL),and the low-MPV group(n=145)included patients with a value in the lower two tertiles(≤8.9 fL).Clinical characteristics,in-hospital mortality,cardiovascular risk factors,and outcomes of primary PCI were analyzed.Results:The patients in the high-MPV group were older,more of them had three-vessel disease,and they had higher in-hospital mortality.Patients with in-hospital death were older,had higher Gensini score,creatinine concentration,and MPV,and had lower HDL cholesterol concentration.MPV,age,HDL cholesterol concentration,creatinine concentration,and Gensini score were found to be independent predictors of in-hospital death.Conclusion:These results suggest that high admission MPV levels are associated with increased in-hospital mortality in geriatric patients with STEMI undergoing primary PCI.