Triceps skinfold thickness trajectories and the risk of all-cause mortality:A prospective cohort study

BACKGROUND The measurement of triceps skinfold(TSF)thickness serves as a noninvasive metric for evaluating subcutaneous fat distribution.Despite its clinical utility,the TSF thickness trajectories and their correlation with overall mortality have not been thoroughly investigated.AIM To explore TSF thickness trajectories of Chinese adults and to examine their associations with all-cause mortality.METHODS This study encompassed a cohort of 14747 adults sourced from the China Health and Nutrition Survey.Latent class trajectory modeling was employed to identify distinct trajectories of TSF thickness.Subjects were classified into subgroups reflective of their respective TSF thickness trajectory.We utilized multivariate Cox regression analyses and mediation examinations to explore the link between TSF thickness trajectory and overall mortality,including contributory factors.RESULTS Upon adjustment for multiple confounding factors,we discerned that males in the‘Class 2:Thin-stable’and‘Class 3:Thin-moderate’TSF thickness trajectories exhibited a markedly reduced risk of mortality from all causes in comparison to the‘Class 1:Extremely thin’subgroup.In the mediation analyses,the Geriatric Nutritional Risk Index was found to be a partial intermediary in the relationship between TSF thickness trajectories and mortality.For females,a lower TSF thickness pattern was significantly predictive of elevated all-cause mortality risk exclusively within the non-elderly cohort.CONCLUSION In males and non-elderly females,lower TSF thickness trajectories are significantly predictive of heightened mortality risk,independent of single-point TSF thickness,body mass index,and waist circumference.

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.

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.

Risk Factors Associated with In-Hospital Post-Chemotherapy Mortality in Patients with Malignant Musculoskeletal Tumors

Introduction: Reducing the in-hospital post-chemotherapy mortality rate in patients with malignant musculoskeletal tumors is important for improving treatment outcome. This study aimed to investigate the risk factors associated with in-hospital post-chemotherapy mortality in patients with primary malignant musculoskeletal tumors. Methods: Using a Japanese national inpatient database, we retrospectively identified 5039 patients (2920 men and 2131 women;mean age, 39 years) who underwent curative chemotherapy for malignant musculoskeletal tumors between 2007 and 2010. We extracted data on the patients’ characteristics, complications, chemotherapeutic agent use, comorbidities, and in-hospital death. Logistic regression analyses were performed to analyze factors affecting in-hospital post-chemotherapy death in these patients. Results: The overall in-hospital mortality rate was 1.1%. Higher in-hospital mortality rates were significantly associated with a greater volume of blood transfusion (>2500 mL) (odds ratio [OR], 49.71;95% confidence interval [CI], 22.24 - 111.12;p < 0.001), diabetes mellitus (OR, 3.05;95% CI: 1.21 - 7.70;p = 0.019), and older age (OR, 3.05;95% CI, 1.11 - 8.37;p = 0.031). Conclusions: Higher in-hospital post-chemotherapy mortality rates were associated with massive blood transfusion, which was associated with a 16-fold higher risk of in-hospital mortality compared with other risk factors. Blood transfusion volume should be considered an important indicator for deciding whether the next cycle of chemotherapy is administered continuously or not.

Long-Term Mortality of Children with Congenital Heart Disease Admitted to the Departmental University Hospital of Borgou/Alibori from 2011 to 2022

Background: Congenital heart disease is a public health issue due to its incidence and mortality rate. The aim of this study was to investigate the long-term mortality of children with congenital heart disease admitted to the Departmental University Hospital of Borgou/Alibori (CHUD-B/A) from 2011 to 2022. Methods: This descriptive longitudinal study with analytical aims covered 11 years (April 1, 2011 to December 31, 2022). It consisted of a review of the records of children under 15 years of age with echocardiographically confirmed congenital heart disease. This was followed by an interview with the parents to assess the children’s current condition. Data were entered using Kobocollect software and analyzed using R Studio 4.2.2. software. Results: A total of 143 complete files were retained. The median age at diagnosis was 14 months (IIQ: Q1 = 4;Q3 = 60) with a range of 2 days and 175 months, and the sex-ratio (M/F) was 0.96. Left-to-right shunts were the most frequent cardiopathy group (62.9%). Only 35 children (24.5%) benefited from restorative treatment. The mortality rate was 31.5%. Median survival under the maximum bias assumption was 114 months and 216 months under the assumption of minimum bias. Survival was significantly better in children with right-to-left shunts (p = 0.0049) under the assumption of minimum bias. The death risk factors were: age at diagnosis less than 12 months (aHR = 7.58;95% CI = 3.36 - 17.24;p Conclusion: The long-term mortality of congenital heart disease is high and favoured by the absence of restorative treatment. Local correction of congenital heart disease and medical follow-up will help to reduce this mortality.

Malnutrition and Its Association with the Mortality of Patients with Femoral Intertrochanteric Fractures: A Retrospective Analysis of Japanese Patients

Background: The incidence of femoral intertrochanteric fractures in older adults is higher than that of femoral neck fractures;however, both conditions are often analyzed together as proximal femoral fractures. Considering the difference in treatment, postoperative complication, and mortality risk, these two fractures should be analyzed separately. This study aimed to analyze 1-year mortality and its risk factors in patients with surgically treated femoral intertrochanteric fractures. Methods: Consecutive patients with intertrochanteric fractures who underwent surgical interventions at our institution between January 2017 and December 2021 were retrospectively reviewed. A total of 238 patients were eligible for inclusion in this study. Patients’ demographic and clinical information were retrospectively collected. Patients were divided into the 1-year mortality (n = 16) and survival (n = 222) groups. The incidence of 1-year mortality and its independent risk factors were investigated using univariate and multivariate logistic regression analyses. Results: The mean age of patients was 85.6 ± 8.5 years. The 1-year mortality rate was 6.7% (16/238). Preoperative albumin level, the Geriatric Nutritional Risk Index (GNRI), and malnutrition status (GNRI p = 0.02, p = 0.02, and p = 0.0011, respectively). Multivariate analysis showed that malnutrition status (GNRI p = 0.035) was an independent risk factor for 1-year mortality. Conclusion: Malnutrition status assessed using GNRI (GNRI < 92) was an independent risk factor for 1-year mortality. Our findings suggest that GNRI may be an effective screening tool for predicting postoperative 1-year mortality of patients with surgically treated femoral intertrochanteric fractures.

Correlation of neutrophil to lymphocyte ratio to severity of coronary artery disease and in-hospital clinical outcomes in patients with acute coronary syndrome: A prospective observational study

Objective:To explore correlation of neutrophil-to-lymphocyte ratio(NLR)to severity of coronary artery disease(CAD)and in-hospital clinical outcomes in patients with acute coronary syndrome(ACS).Methods:In this prospective and observational study,we recruited 500 patients with ACS.For all the eligible patients,demographic details were collected,and laboratory parameters were evaluated.The CAD severity was evaluated in terms of the number of involved vessels.The NLR was calculated based on neutrophils and lymphocytes and the correlation of various risk factors and severity and outcome of CAD was performed.Results:77.2%of Patients was male,and 52%of the patients aged between 55-70 years.Based on the type of ACS,396 out of 500 patients had ST-elevation myocardial infarction.An ascending trend in the white blood cell levels and NLR value was noted as the severity of the ACS increased and the highest white blood cell levels and NLR was noted among classⅣpatients.The mean NLR value among the non-survivors were higher compared to the survivors(9.52±5.72 vs.4.76±2.36;P<0.01).Receiver operating curve showed that the cut-off NLR value was 5.76 with a sensitivity of 75.0%and a specificity of 77.3%.Conclusions:The NLR can be used as an independent prognostic marker in ACS.An elevated NLR value serves as a reliable predictor for short-term complications,notably in-hospital mortality.

Comprehensive Analysis of Cancer Incidence and Mortality Trends in Costa Rica: Implications for Public Health

This commentary delves into the evolving landscape of cancer incidence and mortality in Costa Rica, presenting a comprehensive analysis of the data. Key findings reveal a concerning upward trajectory in cancer incidence rates, placing Costa Rica at the forefront within Central America. While prostate cancer and breast cancer dominate, disparities emerge when scrutinizing gender-specific trends. Notably, stomach and cervical cancers show declines, potentially attributed to targeted interventions. However, colorectal and liver cancers witness mortality increases, necessitating strategic responses. Geographical disparities persist across provinces, highlighting the need for equitable healthcare access. In conclusion, this commentary underscores the urgency of addressing the burgeoning cancer burden in Costa Rica, calling for evidence-based interventions and collaborative efforts on a global scale.

A Nomogram Model for Prediction of Mortality Risk of Patients with Dangerous Upper Gastrointestinal Bleeding:A Two-center Retrospective Study

Objective:This study aimed to establish a nomogram model to predict the mortality risk of patients with dangerous upper gastrointestinal bleeding(DUGIB),and identify high-risk patients who require emergent therapy.Methods:From January 2020 to April 2022,the clinical data of 256 DUGIB patients who received treatments in the intensive care unit(ICU)were retrospectively collected from Renmin Hospital of Wuhan University(n=179)and the Eastern Campus of Renmin Hospital of Wuhan University(n=77).The 179 patients were treated as the training cohort,and 77 patients as the validation cohort.Logistic regression analysis was used to calculate the independent risk factors,and R packages were used to construct the nomogram model.The prediction accuracy and identification ability were evaluated by the receiver operating characteristic(ROC)curve,C index and calibration curve.The nomogram model was also simultaneously externally validated.Decision curve analysis(DCA)was then used to demonstrate the clinical value of the model.Results:Logistic regression analysis showed that hematemesis,urea nitrogen level,emergency endoscopy,AIMS65,Glasgow Blatchford score and Rockall score were all independent risk factors for DUGIB.The ROC curve analysis indicated the area under curve(AUC)of the training cohort was 0.980(95%CI:0.962-0.997),while the AUC of the validation cohort was 0.790(95%CI:0.685-0.895).The calibration curves were tested for Hosmer-Lemeshow goodness of fit for both training and validation cohorts(P=0.778,P=0.516).Conclusion:The developed nomogram is an effective tool for risk stratification,early identification and intervention for DUGIB patients.

Risk and predictors of severity and mortality in patients with type 2 diabetes and COVID-19 in Dubai

BACKGROUND Globally,patients with diabetes suffer from increased disease severity and mortality due to coronavirus disease 2019(COVID-19).Old age,high body mass index(BMI),comorbidities,and complications of diabetes are recognized as major risk factors for infection severity and mortality.AIM To investigate the risk and predictors of higher severity and mortality among inhospital patients with COVID-19 and type 2 diabetes(T2D)during the first wave of the pandemic in Dubai(March–September 2020).METHODS In this cross-sectional nested case-control study,a total of 1083 patients with COVID-19 were recruited.This study included 890 men and 193 women.Of these,427 had T2D and 656 were non-diabetic.The clinical,radiographic,and laboratory data of the patients with and without T2D were compared.Independent predictors of mortality in COVID-19 non-survivors were identified in patients with and without T2D.RESULTS T2D patients with COVID-19 were older and had higher BMI than those without T2D.They had higher rates of comorbidities such as hypertension,ischemic heart disease,heart failure,and more life-threatening complications.All laboratory parameters of disease severity were significantly higher than in those without T2D.Therefore,these patients had a longer hospital stay and a significantly higher mortality rate.They died from COVID-19 at a rate three times higher than patients without.Most laboratory and radiographic severity indices in non-survivors were high in patients with and without T2D.In the univariate analysis of the predictors of mortality among all COVID-19 non-survivors,significant associations were identified with old age,increased white blood cell count,lymphopenia,and elevated serum troponin levels.In multivariate analysis,only lymphopenia was identified as an independent predictor of mortality among T2D non-survivors.CONCLUSION Patients with COVID-19 and T2D were older with higher BMI,more comorbidities,higher disease severity indices,more severe proinflammatory state with cardiac involvement,and died from COVID-19 at three times the rate of patients without T2D.The identified mortality predictors will help healthcare workers prioritize the management of patients with COVID-19.

Association between the Khorana risk score and all-cause mortality in Japanese patients with gastric and colorectal cancer: A retrospective cohort study

BACKGROUND The Khorana risk score(KRS)has poor predictive value for cancer-associated thrombosis in a single tumor type but is associated with early all-cause mortality from cancer.Evidence for the association between KRS and all-cause mortality in Japanese patients with gastric and colorectal cancer is limited.AIM To investigate whether KRS was independently related to all-cause mortality in Japanese patients with gastric and colorectal cancer after adjusting for other covariates and to shed light on its temporal validity.METHODS Data from Dryad database were used in this study.Patients in the Gastroen-terology Department of Sapporo General Hospital,Sapporo,Japan,were enrolled.The starting and ending dates of the enrollment were January 1,2008 and January 5,2015,respectively.The cutoff date for follow-up was May 31,2016.The inde-pendent and dependent(target)variables were the baseline measured using the KRS and final all-cause mortality,respectively.The KRS was categorized into three groups:Low-risk group(=0 score),intermediate-risk group(1-2 score),and high-risk group(≥3 score).RESULTS Men and patients with Eastern Cooperative Oncology Group Performance Status(ECOG PS)≥2 displayed a higher 2-year risk of death than women and those with ECOG PS 0-1 in the intermediate/high risk group for KRS.The higher the score,the higher the risk of early death;however,the relevance of this independent prediction decreased with longer survival.The overall survival of each patient was recorded via real-world follow-up and retrospective observations,and this study yielded the overall relationship between KRS and all-cause mortality.CONCLUSION The prechemotherapy baseline of KRS was independently associated with all-cause mortality within 2 years;however,this independent predictive relationship weakened as survival time increased.

Evolution and Risk Factors of Maternal Mortality in Cameroon: A Case Control Study

Background: Maternal mortality is still high in sub-Saharan Africa, especially in Cameroon where more efforts to reduce maternal mortality and provide universal access to reproductive health should be made. This study aims to see the evolution of maternal mortality and identify associated risk factors in Laquintinie hospital in Cameroon. Methods: A manual review of records for 166 maternal deaths (cases) and 322 controls was undertaken using a standard audit form. The sample included pregnant women aged 16 - 46 years admitted at the maternity of Laquintinie Hospital in Douala, Cameroon from January 2017 to December 2022. Software SSPS 3 and Logistic regression analysis were used to analyze data. Results: One hundred and sixty-six (166) maternal deaths were identified during the study period for 14,114 live births, representing a maternal mortality ratio of 1176/100,000 live births. Factors significantly associated with maternal mortality included: young age (15 - 24 years) (aOR 0.11, 95% CI 0.00 - 0.76, p = 0.037), Alcohol intake (aOR 22.79, 95% CI 1.04 - 501.3, p = 0.047), Abortion or ectopic pregnancy (aOR 61.53, 95% CI 1.29 - 2927.3, p = 0.037), having no antenatal visits (aOR 388.3 95% CI 5.6 - 2675.9, p = 0.006), being admitted with hemorrhage (aOR 343.7, 95% CI 16.2 - 7276.0, p ,713.0, 95% CI 128.2 - 5,989,223.3, p CI 0.00 - 0.18, p = 0.016). Conclusion: Despite slight decrease in maternal mortality, early diagnosis of pregnancy and good Antenatal care associated with maternal health education are important factors for reducing maternal mortality. Young women were the most affected. Singles, alcoholics, women with a no or only primary education level, and referred women represented the majority of deceased cases.

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.

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.

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.

Prediction model of in-hospital mortality in elderly patients with acute heart failure based on retrospective study

学习是开发在老病人的在里面医院死亡是预兆的一个临床的风险模型的这的 ObjectivesThe 目的与尖锐的心就医了失败(AHF ) 从医院里的心病学部门的特别护理单位 60 岁以上的 .Methods2486 病人被分析。为在里面医院死亡的独立风险因素被二进制逻辑回归获得然后过去常建立风险预言分数系统(RPSS ) 。在接收装置操作符特征和 C 统计数值测试的曲线(AUC ) 下面的区域被采用估计 RPSS 的性能并且与指南心失败(GWTG-HF ) 与以前的 get 作比较 .ResultsBy 二进制代码逻辑回归分析，心率(或：1.043， 95% CI：1.030-1.057， P < 0.001 ) ，左室的喷射部分(或：0.918， 95% CI：0.833-0.966， P < 0.001 ) ， pH 价值(或：0.001， 95% CI：0.000-0.002， P < 0.001 ) ，肾的机能障碍(或：0.120， 95% CI：0.066-0.220， P < 0.001 ) 并且 NT 职业人员 BNP (或：3.463， 95% CI：1.870-6.413， P < 0.001 ) 是为老 AHF 病人的在里面医院死亡的独立风险因素。另外， RPSS，它是所有创作了上述参数，比 GWTG-THF 提供了更好的风险预言(AUC：0.873 对 0.818， P = 0.016 ).ConclusionsOur 风险预言模型， RPSS，在老病人为在里面医院死亡向好预言提供了 AHF。

Ionized calcium level predicts in-hospital mortality of severe sepsis patients:A retrospective cross-sectional study

Objective:To evaluate the effect of serum ionized calcium levels on the prognosis of severe sepsis patients.Methods:This retrospective cross-sectional study included sepsis patients who were hospitalized in an intensive care unit between January 2011 and December 2014.The demographic and baseline data of the patients who died and survived were compared.The cutoff value of ionized calcium for in-hospital mortality was determined by the receiver operating characteristics curve(ROC).In-hospital mortalities and the survival rates were compared between patients with different ionized calcium levels.Besides,the risk factor of in-hospital mortality was determined.Results:This study included 145 patients with 113 patients who died in the hospital.The patients who died had significantly lower ionized calcium levels(U=2.25,P=0.034).A cut-off value of 0.93 mmol/L of ionized calcium was determined by the ROC curve.The patients with ionized calcium>0.93 mmol/L showed a significantly lower morality(χ2=9.90,P=0.002)and higher survival rate than with≤0.93 mmol/L(log rank=6.20,P=0.010).Multivariate Cox regression revealed that ionized calcium≤0.93 mmol/L was a risk factor of in-hospital mortality.Conclusions:Ionized calcium level≤0.93 mmol/L was an independent predictor of in-hospital mortality of severe sepsis.