The logistic cardiac surgery score: A new postoperative scoring system for mortality prediction in cardiac surgery

2011 ◽  
Vol 59 (S 01) ◽  
Author(s):  
F Dörr ◽  
A Badreldin ◽  
M Heldwein ◽  
T Doenst ◽  
K Hekmat
Keyword(s):  
Cardiac Surgery ◽  
Scoring System ◽  
Mortality Prediction

scholarly journals Performance of the EuroSCORE II and the STS score for cardiac surgery in octogenarians

2021 ◽  
Vol 29 (2) ◽  
pp. 174-182
Author(s):  
Hüseyin Kuplay ◽  
Sevinç Bayer Erdoğan ◽  
Murat Baştopçu ◽  
Eren Karpuzoğlu ◽  
Halit Er
Keyword(s):  
Cardiac Surgery ◽  
Scoring System ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Population Based ◽  
Mortality Prediction ◽  
Urgent Surgery ◽  
Significant Difference ◽  
Sts Score ◽  
The Mean

Background: We aimed to investigate the predictive value of Society of Thoracic Surgeons (STS) and European System for Cardiac Operative Risk Evaluation (EuroSCORE II) scores for mortality in octogenarian cardiac surgery patients. Methods: Between January 2016 and December 2019, cardiac operations performed in 116 octogenarian patients (73 males, 43 females; mean age: 82.9±3.1 years; range, 80 to 97 years) were retrospectively analyzed. The patients with and without mortality were compared for their demographic and operative factors. The STS and EuroSCORE II scores, and observed mortality rates were assessed. Results: Mean STS score was 3.7±11.1 and mean EuroSCORE II was 5.2±5.4. For any operation type, the mean EuroSCORE II was significantly higher (8.1±7.4 vs. 4.1±4.0, respectively; p=0.006) in the patients with mortality. For elective operations, the mean EuroSCORE II was higher in cases with mortality (7.2±7.3 vs. 3.7±3.9, respectively; p=0.006); however, for urgent cases, there was no significant difference between the scores. Using the receiver operating characteristic curve, the EuroSCORE II had a higher area under the curve for all cases and elective cases than the STS scores. Conclusion: The EuroSCORE II performed better than the STS score for mortality prediction in octogenarians, whereas the predictions of either scoring system was unsatisfactory for urgent surgery and combined procedures. Population-based validation studies are needed for a better risk scoring system in this age group.

scholarly journals Inclusion of ‘ICU-Day’ in a Logistic Scoring System Improves Mortality Prediction in Cardiac Surgery

2015 ◽  
Vol 21 ◽  
pp. 145-152 ◽  
Author(s):  
Fabian Doerr ◽  
Matthias B. Heldwein ◽  
Ole Bayer ◽  
Anton Sabashnikov ◽  
Alexander Weymann ◽  
...  
Keyword(s):  
Cardiac Surgery ◽  
Scoring System ◽  
Mortality Prediction

scholarly journals Accuracy of conventional and novel scoring systems in predicting severity and outcomes of acute pancreatitis: a retrospective study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Qing Wu ◽  
Jie Wang ◽  
Mengbin Qin ◽  
Huiying Yang ◽  
Zhihai Liang ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Organ Failure ◽  
Scoring System ◽  
Characteristic Curve ◽  
Failure Prediction ◽  
Scoring Systems ◽  
Mortality Prediction ◽  
Severity Prediction ◽  
Index Of Severity ◽  
Glasgow Score

Abstract Background Recently, several novel scoring systems have been developed to evaluate the severity and outcomes of acute pancreatitis. This study aimed to compare the effectiveness of novel and conventional scoring systems in predicting the severity and outcomes of acute pancreatitis. Methods Patients treated between January 2003 and August 2020 were reviewed. The Ranson score (RS), Glasgow score (GS), bedside index of severity in acute pancreatitis (BISAP), pancreatic activity scoring system (PASS), and Chinese simple scoring system (CSSS) were determined within 48 h after admission. Multivariate logistic regression was used for severity, mortality, and organ failure prediction. Optimum cutoffs were identified using receiver operating characteristic curve analysis. Results A total of 1848 patients were included. The areas under the curve (AUCs) of RS, GS, BISAP, PASS, and CSSS for severity prediction were 0.861, 0.865, 0.829, 0.778, and 0.816, respectively. The corresponding AUCs for mortality prediction were 0.693, 0.736, 0.789, 0.858, and 0.759. The corresponding AUCs for acute respiratory distress syndrome prediction were 0.745, 0.784, 0.834, 0.936, and 0.820. Finally, the corresponding AUCs for acute renal failure prediction were 0.707, 0.734, 0.781, 0.868, and 0.816. Conclusions RS and GS predicted severity better than they predicted mortality and organ failure, while PASS predicted mortality and organ failure better. BISAP and CSSS performed equally well in severity and outcome predictions.

scholarly journals Validation and modification of existing mortality prediction model for lower gastrointestinal bleeding: A retrospective study

2021 ◽  
Author(s):  
Hyun Suk Lee ◽  
Hee Seok Moon ◽  
In Sun Kwon ◽  
Hyun Yong Jeong ◽  
Byung Seok Lee ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Confidence Interval ◽  
Gastrointestinal Bleeding ◽  
Scoring System ◽  
Vital Signs ◽  
International Normalized Ratio ◽  
Mortality Prediction ◽  
Lower Gastrointestinal Bleeding ◽  
Operating Characteristics ◽  
Related Mortality

Abstract Background Lower gastrointestinal bleeding (LGIB) often subsides by itself; however, in some cases, the bleeding does not stop and the patient’s condition worsens. Therefore, if the occurrence of severe lower gastrointestinal bleeding can be predicted in advance, it can be helpful for treatment. This study aimed to evaluate variables related to mortality from LGIB and to propose a scoring system. Methods This retrospective study reviewed the medical records of patients who visited the emergency room with hematochezia between January 2016 and December 2020. Through regression analysis of vital signs, laboratory investigations, and hospital stay, variables related to LGIB-related mortality were evaluated. A scoring system was developed, and the appropriateness with an area under the receiver operating characteristics curve (AUROC) was evaluated and compared with other existing models. Results A total of 932 patients were hospitalized for LGIB. Variables associated with LGIB-related mortality were the presence of cancer, heart rate of > 100 beats/min, blood urea nitrogen level of ≥ 30 mg/dL, an international normalized ratio of > 1.50, and albumin level of ≤ 3.0 g/dL. The AUROCs of CNUH-4 and CNUH-5 were 0.890 (p < 0.001; cutoff, 2.5; 95% confidence interval, 0.0851 − 0.929) and 0.901 (p < 0.001; cutoff, 3.5; 95% confidence interval, 0.869 − 0.933), respectively. Conclusions The model developed for predicting the risk of LGIB-related mortality is simple and easy to apply clinically. The AUROC of the model was better than that of the existing models.

scholarly journals Applicability of the Cleveland clinic scoring system for the risk prediction of acute kidney injury after cardiac surgery in a South Asian cohort

2018 ◽  
Vol 70 (4) ◽  
pp. 533-537 ◽  
Author(s):  
Shobhana Nayak Rao ◽  
Pradeep Shenoy M ◽  
Mundayat Gopalakrishnan ◽  
Amith Kiran B
Keyword(s):  
Acute Kidney Injury ◽  
Cardiac Surgery ◽  
Risk Prediction ◽  
South Asian ◽  
Scoring System ◽  
Cleveland Clinic ◽  
Kidney Injury ◽  
Asian Cohort

scholarly journals Mortality prediction in patients with acute kidney injury requiring renal replacement therapy after cardiac surgery

Medicina ◽  
2017 ◽  
Vol 53 (4) ◽  
pp. 217-223 ◽  
Author(s):  
Inga Skarupskienė ◽  
Dalia Adukauskienė ◽  
Jurgita Kuzminskienė ◽  
Laima Rimkutė ◽  
Vilma Balčiuvienė ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Cardiac Surgery ◽  
Renal Replacement Therapy ◽  
Replacement Therapy ◽  
Kidney Injury ◽  
Mortality Prediction
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