Evaluation of independent predictors of in-hospital mortality in patients with severe trauma

Introduction/Objective. The aim of this study was to determine independent predictors and the best trauma scoring system (REMS, RTS, GSC, SOFA, APPACHE II) of in-hospital mortality in patients with severe trauma at the Department of Emergency, Emergency Center, Clinical Center of Serbia, Belgrade. Methods. Longitudinal study included 208 consecutive patients with severe trauma. In order to determine independent survival contributors, univariate and multivariate Cox regression analyses were performed. The power of above-mentioned scoring systems (measured at admission to the Emergency center) to predict mortality was compared using the area under the curve (AUC). Results. There were 208 patients (159 male, 49 female), with the average age of 47.3 ? 20.7 years. Majority of patients were initially intubated (86.1%) on admission to the emergency department, and 59.6% patients were sedated before intubation. After finishing of diagnostic procedures, 17 patients were additionally intubated, and, at that time, 94.2% patients were on mechanic ventilation. The majority of patients was traumatized in a car crash (33.2%), followed by falls from height (26.4%) and as pedestrians (22.6%). Patients had an average of 24.7 ? 21.2 days spent in intensive care unit. The overall case-fatality ratio was 17/208 (8.2%). In Cox regression analysis only elevated heart rate (HR = 1.03, p = 0.012) and decreased arterial oxygen saturation (SpO2) (HR = 0.91, p = 0.033) singled out as independent contributors to in-hospital mortality of patients with severe trauma. REMS (AUC 0.72 ? 0.64) and SOFA (AUC 0.716 ? 0.067) scores were found fair and similar predictor of in-hospital mortality, while APACHE II (AUC 0.614 ? 0.062) and RTS (0.396 ? 0.068) were poor predictors. Conclusion. Results of this study showed an important role of REMS, which appears to provide balance between the predictive ability and the practical application, and components of REMS in prediction of outcome in patients with severe trauma and that HR and SpO2 are independent predictors of in-hospital mortality.

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Identification of prognostic alternative splicing events in sarcoma

Scientific Reports ◽

10.1038/s41598-021-94485-x ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Hongshuai Li ◽

Jie Yang ◽

Guohui Yang ◽

Jia Ren ◽

Yu Meng ◽

...

Keyword(s):

Alternative Splicing ◽

Cox Regression ◽

Univariate Analysis ◽

Area Under The Curve ◽

Gene Signature ◽

The Cancer Genome Atlas ◽

Cox Regression Analysis ◽

Functional Roles ◽

Cancer Pathogenesis ◽

Rare Malignancy

AbstractSarcoma is a rare malignancy with unfavorable prognoses. Accumulating evidence indicates that aberrant alternative splicing (AS) events are generally involved in cancer pathogenesis. The aim of this study was to identify the prognostic value of AS-related survival genes as potential biomarkers, and highlight the functional roles of AS events in sarcoma. RNA-sequencing and AS-event datasets were downloaded from The Cancer Genome Atlas (TCGA) sarcoma cohort and TCGA SpliceSeq, respectively. Survival-related AS events were further assessed using a univariate analysis. A multivariate Cox regression analysis was also performed to establish a survival-gene signature to predict patient survival, and the area-under-the-curve method was used to evaluate prognostic reliability. KOBAS 3.0 and Cytoscape were used to functionally annotate AS-related genes and to assess their network interactions. We detected 9674 AS events in 40,184 genes from 236 sarcoma samples, and the 15 most significant genes were then used to construct a survival regression model. We further validated the involvement of ten potential survival-related genes (TUBB3, TRIM69, ZNFX1, VAV1, KCNN2, VGLL3, AK7, ARMC4, LRRC1, and CRIP1) in the occurrence and development of sarcoma. Multivariate survival model analyses were also performed, and validated that a model using these ten genes provided good classifications for predicting patient outcomes. The present study has increased our understanding of AS events in sarcoma, and the gene-based model using AS-related events may serve as a potential predictor to determine the survival of sarcoma patients.

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Prognostic Nomogram for Patients With Pancreatic Ductal Adenocarcinoma of Pancreatic Head After Pancreaticoduodenectomy

Clinical Medicine Insights Oncology ◽

10.1177/11795549211024149 ◽

2021 ◽

Vol 15 ◽

pp. 117955492110241

Author(s):

Hongkai Zhuang ◽

Zixuan Zhou ◽

Zuyi Ma ◽

Shanzhou Huang ◽

Yuanfeng Gong ◽

...

Keyword(s):

Regression Analysis ◽

Pancreatic Ductal Adenocarcinoma ◽

Perineural Invasion ◽

Cox Regression ◽

Area Under The Curve ◽

Pancreatic Head ◽

Ductal Adenocarcinoma ◽

R0 Resection ◽

Cox Regression Analysis ◽

Ajcc Stage

Background: The prognosis of patients with pancreatic ductal adenocarcinoma (PDAC) of pancreatic head remains poor, even after potentially curative R0 resection. The aim of this study was to develop an accurate model to predict patients’ prognosis for PDAC of pancreatic head following pancreaticoduodenectomy. Methods: We retrospectively reviewed 112 patients with PDAC of pancreatic head after pancreaticoduodenectomy in Guangdong Provincial People’s Hospital between 2014 and 2018. Results: Five prognostic factors were identified using univariate Cox regression analysis, including age, histologic grade, American Joint Committee on Cancer (AJCC) Stage 8th, total bilirubin (TBIL), CA19-9. Using all subset analysis and multivariate Cox regression analysis, we developed a nomogram consisted of age, AJCC Stage 8th, perineural invasion, TBIL, and CA19-9, which had higher C-indexes for OS (0.73) and RFS (0.69) compared with AJCC Stage 8th alone (OS: 0.66; RFS: 0.67). The area under the curve (AUC) values of the receiver operating characteristic (ROC) curve for the nomogram for OS and RFS were significantly higher than other single parameter, which are AJCC Stage 8th, age, perineural invasion, TBIL, and CA19-9. Importantly, our nomogram displayed higher C-index for OS than previous reported models, indicating a better predictive value of our model. Conclusions: A simple and practical nomogram for patient prognosis in PDAC of pancreatic head following pancreaticoduodenectomy was established, which shows satisfactory predictive efficacy and deserves further evaluation in the future.

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Prognostic Significance of Chest Imaging by LUS and CT in COVID-19 Inpatients: The ECOVID Multicenter Study

Respiration ◽

10.1159/000518516 ◽

2021 ◽

pp. 1-10

Author(s):

Claudio Tana ◽

Fabrizio Ricci ◽

Maria Gabriella Coppola ◽

Cesare Mantini ◽

Fulvio Lauretani ◽

...

Keyword(s):

Hospital Mortality ◽

Cox Regression ◽

Pearson Correlation ◽

Prognostic Significance ◽

Chest Ct ◽

Lung Damage ◽

Chest Imaging ◽

Gold Standard Method ◽

Cox Regression Analysis ◽

Total Score Range

Background: Point-of-care lung ultrasound (LUS) score is a semiquantitative score of lung damage severity. High-resolution computed tomography (HRCT) is the gold standard method to evaluate the severity of lung involvement from the novel coronavirus disease (COVID-19). Few studies have investigated the clinical significance of LUS and HRCT scores in patients with COVID-19. Therefore, the aim of this study was to evaluate the prognostic yield of LUS and of HRCT in COVID-19 patients. Methods: We carried out a multicenter, retrospective study aimed at evaluating the prognostic yield of LUS and HRCT by exploring the survival curve of COVID-19 inpatients. LUS and chest CT scores were calculated retrospectively by 2 radiologists with >10 years of experience in chest imaging, and the decisions were reached in consensus. LUS score was calculated on the basis of the presence or not of pleural line abnormalities, B-lines, and lung consolidations. The total score (range 0–36) was obtained from the sum of the highest scores obtained in each region. CT score was calculated for each of the 5 lobes considering the anatomical extension according to the percentage parenchymal involvement. The resulting overall global semiquantitative CT score was the sum of each single lobar score and ranged from 0 (no involvement) to 25 (maximum involvement). Results: One hundred fifty-three COVID-19 inpatients (mean age 65 ± 15 years; 65% M), including 23 (15%) in-hospital deaths for any cause over a mean follow-up of 14 days were included. Mean LUS and CT scores were 19 ± 12 and 10 ± 7, respectively. A strong positive linear correlation between LUS and CT scores (Pearson correlation r = 0.754; R2 = 0.568; p < 0.001) was observed. By ROC curve analysis, the optimal cut-point for mortality prediction was 20 for LUS score and 4.5 for chest CT score. According to Kaplan-Meier survival analysis, in-hospital mortality significantly increased among COVID-19 patients presenting with an LUS score ≥20 (log-rank 0.003; HR 9.87, 95% CI: 2.22–43.83) or a chest CT score ≥4.5 (HR 4.34, 95% CI: 0.97–19.41). At multivariate Cox regression analysis, LUS score was the sole independent predictor of in-hospital mortality yielding an adjusted HR of 7.42 (95% CI: 1.59–34.5). Conclusion: LUS score is useful to stratify the risk in COVID-19 patients, predicting those that are at high risk of mortality.

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H2FPEF score predicts 1-year rehospitalisation of patients with heart failure with preserved ejection fraction

Postgraduate Medical Journal ◽

10.1136/postgradmedj-2019-137434 ◽

2020 ◽

pp. postgradmedj-2019-137434

Author(s):

Yifei Tao ◽

Wenjing Wang ◽

Jing Zhu ◽

Tao You ◽

Yi Li ◽

...

Keyword(s):

Heart Failure ◽

Regression Analysis ◽

Ejection Fraction ◽

Cox Regression ◽

Area Under The Curve ◽

Support Vector ◽

Preserved Ejection Fraction ◽

Cox Regression Analysis ◽

Non Invasive ◽

Patients With Heart Failure

BackgroundHeart failure with preserved ejection fraction (HFpEF) has received widespread attention in recent years. There is currently a lack of valuable predictors for the prognosis of this disease. Here, we aimed to identify a non-invasive scoring system that can effectively predict 1-year rehospitalisation for patients with HFpEF.MethodsWe included 151 consecutive patients with HFpEF in a prospective cohort study and investigated the association between H2FPEF score and 1-year readmission for heart failure using multivariate Cox regression analysis.ResultsOur findings indicated that obesity, age >70 years, treatment with ≥2 antihypertensives, echocardiographic E/e’ ratio >9 and pulmonary artery pressure >35 mm Hg were independent predictors of 1-year readmission. Three models (support vector machine, decision tree in R and Cox regression analysis) proved that H2FPEF score could effectively predict 1-year readmission for patients with HFpEF (area under the curve, 0.910, 0.899 and 0.771, respectively; p<0.001).ConclusionOur study demonstrates that the H2FPEF score has excellent predictive value for 1-year rehospitalisation of patients with HFpEF.

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Impact of Early C-Reactive Protein/Albumin Ratio on Intra-Hospital Mortality Among Patients with Spontaneous Intracerebral Hemorrhage

Journal of Clinical Medicine ◽

10.3390/jcm9041236 ◽

2020 ◽

Vol 9 (4) ◽

pp. 1236 ◽

Cited By ~ 2

Author(s):

Michael Bender ◽

Kristin Haferkorn ◽

Michaela Friedrich ◽

Eberhard Uhl ◽

Marco Stein

Keyword(s):

Regression Analysis ◽

Intracerebral Hemorrhage ◽

Hospital Mortality ◽

Cox Regression ◽

Spontaneous Intracerebral Hemorrhage ◽

C Reactive Protein ◽

Albumin Ratio ◽

Cox Regression Analysis ◽

Reactive Protein ◽

The Impact

Objective: The impact of increased C-reactive protein (CRP)/albumin ratio on intra-hospital mortality has been investigated among patients admitted to general intensive care units (ICU). However, it was not investigated among patients with spontaneous intracerebral hemorrhage (ICH). This study aimed to investigate the impact of CRP/albumin ratio on intra-hospital mortality in patients with ICH. Patients and Methods: This retrospective study was conducted on 379 ICH patients admitted between 02/2008 and 12/2017. Blood samples were drawn upon admission and the patients’ demographic, medical, and radiological data were collected. The identification of the independent prognostic factors for intra-hospital mortality was calculated using binary logistic regression and COX regression analysis. Results: Multivariate regression analysis shows that higher CRP/albumin ratio (odds ratio (OR) = 1.66, 95% confidence interval (CI) = 1.193–2.317, p = 0.003) upon admission is an independent predictor of intra-hospital mortality. Multivariate Cox regression analysis indicated that an increase of 1 in the CRP/albumin ratio was associated with a 15.3% increase in the risk of intra-hospital mortality (hazard ratio = 1.153, 95% CI = 1.005–1.322, p = 0.42). Furthermore, a CRP/albumin ratio cut-off value greater than 1.22 was associated with increased intra-hospital mortality (Youden’s Index = 0.19, sensitivity = 28.8, specificity = 89.9, p = 0.007). Conclusions: A CRP/albumin ratio greater than 1.22 upon admission was significantly associated with intra-hospital mortality in the ICH patients.

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Effect of Dynamic Potassium Change on In-Hospital Mortality, Ventricular Arrhythmias, and Long-Term Mortality in STEMI

Angiology ◽

10.1177/0003319718784127 ◽

2018 ◽

Vol 70 (1) ◽

pp. 69-77 ◽

Cited By ~ 6

Author(s):

Adnan Kaya ◽

Muhammed Keskin ◽

Mustafa Adem Tatlisu ◽

Osman Kayapinar

Keyword(s):

Regression Analysis ◽

Ventricular Arrhythmia ◽

Hospital Mortality ◽

Mortality Risk ◽

Ventricular Arrhythmias ◽

Cox Regression ◽

Cox Regression Analysis ◽

Normal Ranges ◽

Long Term Mortality

We evaluated the effect of serum potassium (K) deviation on in-hospital and long-term clinical outcomes in patients with ST-segment elevation myocardial infarction who were normokalemic at admission. A total of 2773 patients with an admission serum K level of 3.5 to 4.5 mEq/L were retrospectively analyzed. The patients were categorized into 3 groups according to their K deviation: normokalemia-to-hypokalemia, normokalemia-to-normokalemia, and normokalemia-to-hyperkalemia. In-hospital mortality, long-term mortality, and ventricular arrhythmias rates were compared among the groups. In a hierarchical multivariable regression analysis, the in-hospital mortality risk was higher in normokalemia-to-hypokalemia (odds ratio [OR] 3.03; 95% confidence interval [CI], 1.72-6.82) and normokalemia-to-hyperkalemia groups (OR 2.81; 95% CI, 1.93-4.48) compared with the normokalemia-to-normokalemia group. In a Cox regression analysis, long-term mortality risk was also higher in normokalemia-to-hypokalemia (hazard ratio [HR] 3.78; 95% CI, 2.07-7.17) and normokalemia-to-hyperkalemia groups (HR, 2.97; 95% CI, 2.10-4.19) compared with the normokalemia-to-normokalemia group. Ventricular arrhythmia risk was also higher in normokalemia-to-hypokalemia group (OR 2.98; 95% CI, 1.41-5.75) compared with normokalemia-to-normokalemia group. The current study showed an increased in-hospital ventricular arrhythmia and mortality and long-term mortality rates with the deviation of serum K levels from normal ranges.

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Predictors of In-hospital Mortality of Acute Ischemic Stroke in Adult Population

Journal of Neurosciences in Rural Practice ◽

10.4103/jnrp.jnrp_265_17 ◽

2017 ◽

Vol 08 (04) ◽

pp. 591-594 ◽

Cited By ~ 5

Author(s):

Bhupendra Shah ◽

Bijay Bartaula ◽

Janak Adhikari ◽

Hari Shankar Neupane ◽

Birendra Prasad Shah ◽

...

Keyword(s):

Ischemic Stroke ◽

Hospital Mortality ◽

Oxygen Saturation ◽

Respiratory Rate ◽

Acute Ischemic Stroke ◽

Pulse Rate ◽

Arterial Oxygen Saturation ◽

Arterial Oxygen ◽

Predictors Of Mortality ◽

Gcs Score

ABSTRACT Introduction: Stroke is the second most common cause of mortality worldwide. Data regarding the predictors of mortality of acute ischemic stroke are widely discordant. Identifying the predictors and providing the utmost care to a high-risk patient is still an unmet need in middle- to low-income countries. We did this study to identify the predictor of in-hospital mortality of acute ischemic stroke. Materials and Methods: We conducted a retrospective study of patients with acute ischemic stroke presented to the tertiary care center in eastern Nepal from January 2012 to December 2016. We enrolled patients of age 18 years and older with acute ischemic stroke in this study. The primary outcome of the study was in-hospital mortality of enrolled patients. Predictors of mortality were analyzed by comparing the patients with acute ischemic stroke who had mortality with those who survived. Results: The mean age of enrolled patients was 66 years. Among 257, the in-hospital mortality rate was 20.5%. The patients with in-hospital mortality had lower Glasgow coma scale (GCS) score (9 vs. 12, P < 0.001) compared to those who survived. During admission, a patient with in-hospital mortality had significantly lower arterial oxygen saturation (92 vs. 95, P < 0.001), higher pulse rate (91 vs. 83, P =0.009), and higher respiratory rate (24 vs. 21, P < 0.001) than those patients with acute ischemic stroke who survived. Conclusion: Lower GCS score, baseline higher pulse rate, higher respiratory rate, and lower arterial oxygen saturation are the predictors of in-hospital mortality of adult with acute ischemic stroke.

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External Validation of the Two Newly Proposed Criteria for Assessing Coagulopathy in Sepsis

Thrombosis and Haemostasis ◽

10.1055/s-0038-1676610 ◽

2018 ◽

Vol 119 (02) ◽

pp. 203-212 ◽

Cited By ~ 10

Author(s):

Kazuma Yamakawa ◽

Jumpei Yoshimura ◽

Takashi Ito ◽

Mineji Hayakawa ◽

Toshimitsu Hamasaki ◽

...

Keyword(s):

Anticoagulant Therapy ◽

Clinical Characteristics ◽

Cox Regression ◽

External Validation ◽

Scoring Systems ◽

Thrombin Time ◽

Acute Medicine ◽

Cox Regression Analysis ◽

Propensity Scoring ◽

Japanese Cohort

Background Two different criteria for evaluating coagulopathy in sepsis were recently released: sepsis-induced coagulopathy (SIC) and sepsis-associated coagulopathy (SAC). Although both use universal haemostatic markers of platelet count and pro-thrombin time, significance and usefulness of these criteria remain unclear. Objective This article validates and evaluates the significance of SIC and SAC criteria compared with the International Society on Thrombosis and Haemostasis (ISTH) overt disseminated intravascular coagulation (DIC) and Japanese Association for Acute Medicine (JAAM) DIC criteria. Methods Clinical characteristics of patients from a nationwide Japanese cohort were classified by SIC, SAC or DIC status and relations between criteria were examined. We evaluated associations between in-hospital mortality and anticoagulant therapy according to the SIC, SAC or DIC status to clarify the significance of criteria for introducing anticoagulants. Intervention effects were analysed by Cox regression analysis adjusted by propensity scoring. Results Incidences of coagulopathy diagnosed by SIC and JAAM DIC were similar, whereas those of SAC and ISTH overt DIC were about half of the former two (61.4%, 60.8% vs. 45.3%, 29.3%). Severity and mortality of all criteria were almost comparable. For validating initiation of anticoagulation, favourable effects of anticoagulant therapy were observed only in sub-sets with, and not without, coagulopathy diagnosed by all four criteria. Slight non-significant differences between anticoagulant groupings were found in ISTH overt DIC- and SAC-negative populations, suggesting that some patients even ‘without’ these criteria may benefit from anticoagulant therapy. Conclusion Newly developed SIC diagnostic criteria for coagulopathy may be valuable in detecting appropriate candidates for anticoagulant therapy in sepsis and a useful alternative to conventional DIC scoring systems.

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The Systemic Inflammation Index on Admission Predicts In-Hospital Mortality in COVID-19 Patients

Molecules ◽

10.3390/molecules25235725 ◽

2020 ◽

Vol 25 (23) ◽

pp. 5725 ◽

Cited By ~ 2

Author(s):

Alessandro G. Fois ◽

Panagiotis Paliogiannis ◽

Valentina Scano ◽

Stefania Cau ◽

Sergio Babudieri ◽

...

Keyword(s):

Hospital Mortality ◽

Systemic Inflammation ◽

Cox Regression ◽

Rapid Onset ◽

Cox Regression Analysis ◽

Lymphocyte Ratio ◽

Kaplan Meier ◽

Group Methods ◽

Aggregate Index ◽

Inflammatory State

Background. The rapid onset of a systemic pro-inflammatory state followed by acute respiratory distress syndrome is the leading cause of mortality in patients with COVID-19. We performed a retrospective observational study to explore the capacity of different complete blood cell count (CBC)-derived inflammation indexes to predict in-hospital mortality in this group. Methods. The neutrophil to lymphocyte ratio (NLR), derived NLR (dNLR), platelet to lymphocyte ratio (PLR), mean platelet volume to platelet ratio (MPR), neutrophil to lymphocyte × platelet ratio (NLPR), monocyte to lymphocyte ratio (MLR), systemic inflammation response index (SIRI), systemic inflammation index (SII), and the aggregate index of systemic inflammation (AISI) were calculated on hospital admission in 119 patients with laboratory confirmed COVID-19. Results. Non-survivors had significantly higher AISI, dNLR, NLPR, NLR, SII, and SIRI values when compared to survivors. Similarly, Kaplan–Meier survival curves showed significantly lower survival in patients with higher AISI, dNLR, MLR, NLPR, NLR, SII, and SIRI. However, after adjusting for confounders, only the SII remained significantly associated with survival (HR = 1.0001; 95% CI, 1.0000–1.0001, p = 0.029) in multivariate Cox regression analysis. Conclusions. The SII on admission independently predicts in-hospital mortality in COVID-19 patients and may assist with early risk stratification in this group.

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Long Noncoding RNAZEB1-AS1 Expression Predicts Progression and Poor Prognosis of Colorectal Cancer

The International Journal of Biological Markers ◽

10.5301/ijbm.5000303 ◽

2017 ◽

Vol 32 (4) ◽

pp. 428-433 ◽

Cited By ~ 14

Author(s):

Jining Fu ◽

Yongyuan Cui

Keyword(s):

Colorectal Cancer ◽

Poor Prognosis ◽

Cox Regression ◽

Area Under The Curve ◽

Diagnostic Value ◽

Depth Of Invasion ◽

Cox Regression Analysis ◽

Lower Survival Rate ◽

Differentiation Degree ◽

Diagnostic Sensitivity And Specificity

Background ZEB1-AS1 acts as an oncogene in hepatocellular carcinoma, accelerating tumor growth and promoting metastasis. However, its roles in colorectal cancer (CRC) remain unclear. Methods In this study, we determined the expression of ZEB1-AS1 in CRC tissues by quantitative real-time polymerase chain reaction (qRT-PCR). Additionally, we investigated the relationship between various clinicopathological features of CRC patients and ZEB1-AS1 expression, and evaluated the diagnostic and prognostic value of ZEB1-AS1 in CRC. Results We found that ZEB1-AS1 expression was significantly higher in CRC tissues than in adjacent normal colorectal tissues. Moreover, its expression was significantly correlated with tumor size, differentiation degree, TNM grade, metastasis, depth of invasion and Dukes' classification, but not with sex, age, location and organization. In addition, at the optimal cutoff value of 2.340, the values of diagnostic sensitivity and specificity amounted to 63.0% and 90.7%, respectively, with an area under the curve (AUC) of 0.846 (95% CI, 0.797-0.895). Finally, CRC patients of the high ZEB1-AS1 expression group had a poorer prognosis and a significantly lower survival rate than those of the low expression group, and Cox regression analysis indicated that ZEB1-AS1 expression and metastasis were independent predictors of poor prognosis. Conclusions Our data suggest that ZEB1-AS1 has no obvious early diagnostic value, but it may be utilized as a new prognostic biomarker for CRC.

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