The Prognostic Value of Lactate and Troponin I for In-Hospital Mortality in Elderly and Very Elderly Septic Patients.

2009 ◽  
Author(s):  
SJ Evans ◽  
LT Lee
Keyword(s):  
Hospital Mortality ◽  
Prognostic Value ◽  
Troponin I ◽  
Very Elderly

scholarly journals Determinants of In-Hospital Mortality in Elderly Patients Aged 80 Years or above with Acute Heart Failure: A Retrospective Cohort Study at a Single Rural Hospital

2021 ◽  
Vol 10 (7) ◽  
pp. 1468
Author(s):  
Yusuke Watanabe ◽  
Kazuko Tajiri ◽  
Hiroyuki Nagata ◽  
Masayuki Kojima
Keyword(s):  
Heart Failure ◽  
Regression Analysis ◽  
Elderly Patients ◽  
Hospital Mortality ◽  
Acute Heart Failure ◽  
Stepwise Regression ◽  
Stepwise Regression Analysis ◽  
Antibiotic Administration ◽  
Very Elderly ◽  
Survivor Group

Heart failure is one of the leading causes of mortality worldwide. Several predictive risk scores and factors associated with in-hospital mortality have been reported for acute heart failure. However, only a few studies have examined the predictors in elderly patients. This study investigated determinants of in-hospital mortality in elderly patients with acute heart failure, aged 80 years or above, by evaluating the serum sodium, blood urea nitrogen, age and serum albumin, systolic blood pressure and natriuretic peptide levels (SOB-ASAP) score. We reviewed the medical records of 106 consecutive patients retrospectively and classified them into the survivor group (n = 83) and the non-survivor group (n = 23) based on the in-hospital mortality. Patient characteristics at admission and during hospitalization were compared between the two groups. Multivariate stepwise regression analysis was used to evaluate the in-hospital mortality. The SOB-ASAP score was significantly better in the survivor group than in the non-survivor group. Multivariate stepwise regression analysis revealed that a poor SOB-ASAP score, oral phosphodiesterase 3 inhibitor use, and requirement of early intravenous antibiotic administration were associated with in-hospital mortality in very elderly patients with acute heart failure. Severe clinical status might predict outcomes in very elderly patients.

scholarly journals Prognostic Value of Inflammatory Biomarkers in Patients with Severe COVID-19: A Single-Center Retrospective Study

2021 ◽  
Vol 16 ◽  
pp. 117727192110270
Author(s):  
Gönül Açıksarı ◽  
Mehmet Koçak ◽  
Yasemin Çağ ◽  
Lütfiye Nilsun Altunal ◽  
Adem Atıcı ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Hospital Mortality ◽  
Prognostic Value ◽  
Current Knowledge ◽  
Area Under The Curve ◽  
Prognostic Nutritional Index ◽  
Inflammatory Biomarkers ◽  
Single Center ◽  
Discriminative Ability ◽  
Lymphocyte Ratio

Background: The current knowledge about novel coronavirus-2019 (COVID-19) indicates that the immune system and inflammatory response play a crucial role in the severity and prognosis of the disease. In this study, we aimed to investigate prognostic value of systemic inflammatory biomarkers including C-reactive protein/albumin ratio (CAR), prognostic nutritional index (PNI), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) in patients with severe COVID-19. Methods: This single-center, retrospective study included a total of 223 patients diagnosed with severe COVID-19. Primary outcome measure was mortality during hospitalization. Multivariate logistic regression analyses were performed to identify independent predictors associated with mortality in patients with severe COVID-19. Receiver operating characteristic (ROC) curve was used to determine cut-offs, and area under the curve (AUC) values were used to demonstrate discriminative ability of biomarkers. Results: Compared to survivors of severe COVID-19, non-survivors had higher CAR, NLR, and PLR, and lower LMR and lower PNI ( P < .05 for all). The optimal CAR, PNI, NLR, PLR, and LMR cut-off values for detecting prognosis were 3.4, 40.2, 6. 27, 312, and 1.54 respectively. The AUC values of CAR, PNI, NLR, PLR, and LMR for predicting hospital mortality in patients with severe COVID-19 were 0.81, 0.91, 0.85, 0.63, and 0.65, respectively. In ROC analysis, comparative discriminative ability of CAR, PNI, and NLR for hospital mortality were superior to PLR and LMR. Multivariate analysis revealed that CAR (⩾0.34, P = .004), NLR (⩾6.27, P = .012), and PNI (⩽40.2, P = .009) were independent predictors associated with mortality in severe COVID-19 patients. Conclusions: The CAR, PNI, and NLR are independent predictors of mortality in hospitalized severe COVID-19 patients and are more closely associated with prognosis than PLR or LMR.

scholarly journals Prognostic value of the neutrophil-to-lymphocyte ratio in acute organophosphorus pesticide poisoning

2021 ◽  
Vol 16 (1) ◽  
pp. 703-710
Author(s):  
Yuhang Mu ◽  
Boqi Hu ◽  
Nan Gao ◽  
Li Pang
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Hospital Mortality ◽  
Logistic Regression Analysis ◽  
Poor Prognosis ◽  
Prognostic Value ◽  
Organophosphorus Pesticide ◽  
Neutrophil To Lymphocyte Ratio ◽  
Pesticide Poisoning ◽  
Lymphocyte Ratio

Abstract This study investigates the ability of blood neutrophil-to-lymphocyte ratio (NLR) to predict acute organophosphorus pesticide poisoning (AOPP). Clinical data of 385 patients with AOPP were obtained within 24 h of admission, and NLR values were calculated based on neutrophil and lymphocyte counts. The patients were divided into two groups – good and poor – based on prognosis. Poor prognosis included in-hospital death and severe poisoning. The factors affecting prognosis were analyzed by logistic regression analysis, and the prognostic value of NLR was evaluated using the area under the receiver operating characteristic curve (AUC). Univariate logistic regression analysis showed that NLR levels, serum cholinesterase, and creatinine levels were good predictors of AOPP. Multivariate logistic regression analysis showed that high NLR was an independent risk factor for severe poisoning (adjusted odds ratio [AOR], 1.13; 95% CI, 1.10–1.17; p < 0.05) and in-hospital mortality (AOR, 1.07; 95% CI, 1.03–1.11; p < 0.05). NLR values >13 and >17 had a moderate ability to predict severe poisoning and in-hospital mortality, respectively (AUC of 0.782 [95% CI, 0.74–0.824] and 0.714 [95% CI, 0.626–0.803], respectively). Our results show that high NLR at admission is an independent indicator of poor prognosis in AOPP and can be used to optimize treatment and manage patients.

Prognostic value of high plasma brain natriuretic peptide concentrations in very elderly persons

2003 ◽  
Vol 114 (4) ◽  
pp. 266-270 ◽  
Author(s):  
Ryuji Ueda ◽  
Masatoshi Yokouchi ◽  
Takaomi Suzuki ◽  
Eiichi Otomo ◽  
Takashi Katagiri
Keyword(s):  
Brain Natriuretic Peptide ◽  
Natriuretic Peptide ◽  
Prognostic Value ◽  
High Plasma ◽  
Elderly Persons ◽  
Very Elderly ◽  
Plasma Brain Natriuretic Peptide

scholarly journals Elevation of troponin I in acute ischemic stroke

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1866 ◽  
Author(s):  
Yu-Chin Su ◽  
Kuo-Feng Huang ◽  
Fu-Yi Yang ◽  
Shinn-Kuang Lin
Keyword(s):  
Ischemic Stroke ◽  
Hospital Mortality ◽  
Acute Stroke ◽  
Acute Ischemic Stroke ◽  
Barthel Index ◽  
Troponin I ◽  
Clinical Deterioration ◽  
Stroke Severity ◽  
Nihss Score ◽  
Poor Outcome

Background. Cardiac morbidities account for 20% of deaths after ischemic stroke and is the second commonest cause of death in acute stroke population. Elevation of cardiac troponin has been regarded as a prognostic biomarker of poor outcome in patients with acute stroke.Methods. This retrospective study enrolled 871 patients with acute ischemic stroke from August 2010 to March 2015. Data included vital signs, laboratory parameters collected in the emergency department, and clinical features during hospitalization. National Institutes of Health Stroke Scale (NIHSS), Barthel index, and modified Rankin Scale (mRS) were used to assess stroke severity and outcome.Results.Elevated troponin I (TnI) > 0.01 µg/L was observed in 146 (16.8%) patients. Comparing to patients with normal TnI, patients with elevated TnI were older (median age 77.6 years vs. 73.8 years), had higher median heart rates (80 bpm vs. 78 bpm), higher median white blood cells (8.40 vs. 7.50 1,000/m3) and creatinine levels (1.40 mg/dL vs. 1.10 mg/dL), lower median hemoglobin (13.0 g/dL vs. 13.7 g/dL) and hematocrit (39% vs. 40%) levels, higher median NIHSS scores on admission (11 vs. 4) and at discharge (8 vs. 3), higher median mRS scores (4 vs3) but lower Barthel index scores (20 vs. 75) at discharge (p< 0.001). Multivariate analysis revealed that age ≥ 76 years (OR 2.25, CI [1.59–3.18]), heart rate ≥ 82 bpm (OR 1.47, CI [1.05–2.05]), evidence of clinical deterioration (OR 9.45, CI [4.27–20.94]), NIHSS score ≥ 12 on admission (OR 19.52, CI [9.59–39.73]), and abnormal TnI (OR 1.98, CI [1.18–3.33]) were associated with poor outcome. Significant factors for in-hospital mortality included male gender (OR 3.69, CI [1.45–9.44]), evidence of clinical deterioration (OR 10.78, CI [4.59–25.33]), NIHSS score ≥ 12 on admission (OR 8.08, CI [3.04–21.48]), and elevated TnI level (OR 5.59, CI [2.36–13.27]).C-statistics revealed that abnormal TnI improved the predictive power of both poor outcome and in-hospital mortality. Addition of TnI > 0.01 ug/L or TnI > 0.1 ug/L to the model-fitting significantly improvedc-statistics for in-hospital mortality from 0.887 to 0.926 (p= 0.019) and 0.927 (p= 0.028), respectively.Discussion.Elevation of TnI during acute stroke is a strong independent predictor for both poor outcome and in-hospital mortality. Careful investigation of possible concomitant cardiac disorders is warranted for patients with abnormal troponin levels.

scholarly journals Postoperative Cardiac Troponin I (cTnI) Level and Its Prognostic Value for Patients Undergoing Mitral Valve Surgery

2010 ◽  
Vol 51 (3) ◽  
pp. 166-169 ◽  
Author(s):  
Kiyohiro Oshima ◽  
Fumio Kunimoto ◽  
Toru Takahashi ◽  
Jun Mohara ◽  
Izumi Takeyoshi ◽  
...  
Keyword(s):  
Mitral Valve ◽  
Cardiac Troponin ◽  
Prognostic Value ◽  
Troponin I ◽  
Mitral Valve Surgery ◽  
Valve Surgery ◽  
Cardiac Troponin I ◽  
Ctni Level

scholarly journals Cardiac biomarkers as prognosticators among SARS-CoV-19 patients in a tertiary hospital in Philippines

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
R Ong ◽  
C Chacon ◽  
S Javier
Keyword(s):  
Creatine Kinase ◽  
Logistic Regression ◽  
Hospital Mortality ◽  
Roc Curve ◽  
Predictive Value ◽  
Troponin I ◽  
Binary Logistic Regression ◽  
High Sensitivity ◽  
Cardiac Biomarkers ◽  
Optimal Cutoff

Abstract Background There is overwhelming volume of confirmed cases of COVID-19, despite this numerous knowledge gaps remain in the diagnosis, management, and prognostication of this novel coronavirus infection, making prevention and control a challenge. Methods This retrospective cohort study included patients with real-time reverse transcriptase polymerase chain reaction (rRT-PCR)-confirmed COVID-19. Binary logistic regression was used to determine the association between the cardiac biomarkers and in-hospital mortality. ROC, AUC, and cutoff analyses were used to determine optimal cutoff values for the cardiac biomarkers. Results A total of 90 subjects with a complete panel of cardiac biomarkers out of the 224 rRT-PCR confirmed cases were included. The median age was 57 years (IQR, 47–67 years), majority were males. Sixty-six (77.6%) subjects survived while 19 (22.4%) expired. The most common presenting symptom was fever (75.6%), and the most common comorbidity was hypertension (67.8%). Spearman rho correlation analysis showed moderate positive association of high sensitivity troponin I (hsTnI) with in-hospital mortality (R, 0.434, p = &lt;0.001). Multivariate binary logistic regression analysis showed that creatine kinase and hsTnI were independently associated with in-hospital mortality (OR, 4.103 [95% CI, 1.241–13.563], p=0.021; and OR, 7.899 [95% CI, 2.430–25.675], p=0.001, respectively). ROC curve analysis showed that hsTnI was a good predictor for in-hospital mortality (AUC, 0.829 [95% CI, 0.735–0.923], p = &lt;0.001) and that creatine kinase was a poor predictor (AUC, 0.677 [95% CI, 0.531–0.823], p=0.018). Optimal cutoff point derived from the ROC curve for hsTnI was 0.010 ng/ml (J, 0.574) with a sensitivity of 84% (TPR, 0.842 [95% CI, 0.604–0.966]), specificity of 73% (TNR, 0.732 [95% CI, 0.614–0.386]), and an adjusted negative predictive value of 99% (Known prevalence*adjusted NPV, 0.989), a positive likelihood ratio of 20% (LR+, 3.147 [95% CI, 2.044–4.844]) and a negative likelihood ratio of 30% (LR−, 0.216 [95% CI, 0.076–0.615]). Conclusion High sensitivity troponin I level was a good tool with a very high negative predictive value in significantly predicting in-hospital mortality among rRT-PCR positive COVID-19 patients. FUNDunding Acknowledgement Type of funding sources: None. ROC Curve

scholarly journals Extrém magas B típusú natriureticus prohormon prognosztikai szerepe a szívelégtelenség miatt kezelt betegek kórházi halálozására

2017 ◽  
Vol 158 (20) ◽  
pp. 779-782
Author(s):  
Béla Bózsik ◽  
Erzsébet Nagy ◽  
Miklós Somlói ◽  
János Tomcsányi
Keyword(s):  
Heart Failure ◽  
Hospital Mortality ◽  
Hospital Stay ◽  
Natriuretic Peptide ◽  
Natriuretic Peptides ◽  
Prognostic Value ◽  
Response To Therapy ◽  
Cardiology Department ◽  
The Difference ◽  
One Year

Abstract: Introduction: Patients hospitalized for heart failure have a very high in-hospital as well as one-year mortality. Natriuretic peptides play both a diagnostic and a prognostic role in this disease. Changes of natriuretic peptide levels in response to therapy are a well-known prognostic marker. Regarding in-hospital mortality, however, little is known about the prognostic value of extremely high levels of natriuretic peptides measured on admission. Aim: To decide whether extremely high levels of B-type natriuretic peptide have a prognostic value with regard to in-hospital mortality. Method: NT-proBNP levels on admission and in-hospital mortality were extracted retrospectively from the data of patients treated with heart failure in the cardiology department of the Hospital of St. John of God in Budapest. We separately analyzed the data of patients hospitalized for heart failure in 2015 with extremely high initial NT-proBNP levels. The cut-off value in this regard was 10 000 ng/l. We also analyzed the comorbidities of these patients. Results: The median NT-proBNP level of those patients who survived beyond the index hospital stay in the last 10 years was 4842 ng/l, whereas the median NT-proBNP level of those 182 patients who died during their hospital stay was 10 688 ng/l (p<0.001). In the year 2015, we treated 118 patients with an NT-proBNP level above 10 000 ng/l. Thirteen of these patients died, which means that their in-hospital mortality exceeded 10%. In comparison, the in-hospital mortality of all heart failure patients was 5.8%. The difference of median NT-proBNP levels of surviving versus deceased patients in this group with extremely high NT-proBNP levels was no longer significant (17 080 ng/l vs. 19 152 ng/l). Conclusions: Patients with an NT-proBNP level of >10 000 ng/l on admission have a significantly higher in-hospital mortality. The difference of NT-proBNP levels of surviving versus deceased patients in the group with admission NT-proBNP levels >10 000 ng/l is no longer significant. We could not identify any etiological factors that would explain these extremely high NT-proBNP levels or the excess in-hospital mortality. Orv Hetil. 2017; 158(20): 779–782.

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