scholarly journals C-Reactive Protein Concentration as A Risk Predictor of Mortality in Intensive Care Unit: A Multicenter, Prospective, Observational Study

2020 ◽  
Author(s):  
Rong Qu ◽  
Linhui Hu ◽  
Yun Ling ◽  
Heng Fang ◽  
Huidan Zhang ◽  
...  
Keyword(s):  
Odds Ratio ◽  
Inflammatory Markers ◽  
Prospective Observational Study ◽  
Apache Ii ◽  
Apache Ii Score ◽  
C Reactive Protein ◽  
Icu Mortality ◽  
Reactive Protein ◽  
Risk Reclassification ◽  
Multicenter Prospective Observational Study

Abstract Background: It is not clear whether there is value inflammatory markers for prognosis judgment in the intensive care unit (ICU). We therefore conducted a multicenter, prospective, observational study to evaluate the prognostic role of inflammatory markers.Methods: The clinical and laboratory data of patients at admission, including C-reactive protein (CRP), were collected in four general ICUs from September 1, 2018, to August 1, 2019. Multivariate logistic regression was used to identify factors independently associated with nonsurvival. The area under the receiver operating characteristic curve (AUC-ROC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to evaluate the effect size of different factors in predicting mortality during ICU stay. 3 knots was used to assess whether alternative cut points for these biomarkers were more appropriate. Results: A total of 813 patients were recruited, among whom 121 patients (14.88%) died during the ICU stay. The AUC-ROC values of PCT and CRP for discriminating ICU mortality were 0.696 (95% confidence interval [CI], 0.650-0.743) and 0.684 (95% CI, 0.633-0.735), respectively. In the multivariable analysis, only APACHE II score (odds ratio, 1.166; 95% CI, 1.129-1.203; P=0.000) and CRP concentration > 62.8 mg/L (odds ratio, 2.145; 95% CI, 1.343-3.427; P=0.001), were significantly associated with an increased risk of ICU mortality. Moreover, the combination of APACHE II score and CRP > 62.8 mg/L significantly improved risk reclassification over the APACHE II score alone, with NRI (0.556) and IDI (0.013). Restricted cubic spline analysis confirmed that CRP concentration >62.8 mg/L was the optimal cut-off value for differentiating between surviving and nonsurviving patients.Conclusion: CRP markedly improved risk reclassification for prognosis prediction.

scholarly journals C-reactive protein concentration as a risk predictor of mortality in intensive care unit: a multicenter, prospective, observational study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Rong Qu ◽  
Linhui Hu ◽  
Yun Ling ◽  
Yating Hou ◽  
Heng Fang ◽  
...  
Keyword(s):  
Odds Ratio ◽  
Inflammatory Markers ◽  
Prospective Observational Study ◽  
Apache Ii ◽  
Apache Ii Score ◽  
C Reactive Protein ◽  
Icu Mortality ◽  
Reactive Protein ◽  
Risk Reclassification ◽  
Multicenter Prospective Observational Study

Abstract Background It is not clear whether there are valuable inflammatory markers for prognosis judgment in the intensive care unit (ICU). We therefore conducted a multicenter, prospective, observational study to evaluate the prognostic role of inflammatory markers. Methods The clinical and laboratory data of patients at admission, including C-reactive protein (CRP), were collected in four general ICUs from September 1, 2018, to August 1, 2019. Multivariate logistic regression was used to identify factors independently associated with nonsurvival. The area under the receiver operating characteristic curve (AUC-ROC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to evaluate the effect size of different factors in predicting mortality during ICU stay. 3 -knots were used to assess whether alternative cut points for these biomarkers were more appropriate. Results A total of 813 patients were recruited, among whom 121 patients (14.88%) died during the ICU stay. The AUC-ROC values of PCT and CRP for discriminating ICU mortality were 0.696 (95% confidence interval [CI], 0.650–0.743) and 0.684 (95% CI, 0.633–0.735), respectively. In the multivariable analysis, only APACHE II score (odds ratio, 1.166; 95% CI, 1.129–1.203; P = 0.000) and CRP concentration > 62.8 mg/L (odds ratio, 2.145; 95% CI, 1.343–3.427; P = 0.001), were significantly associated with an increased risk of ICU mortality. Moreover, the combination of APACHE II score and CRP > 62.8 mg/L significantly improved risk reclassification over the APACHE II score alone, with NRI (0.556) and IDI (0.013). Restricted cubic spline analysis confirmed that CRP concentration > 62.8 mg/L was the optimal cut-off value for differentiating between surviving and nonsurviving patients. Conclusion CRP markedly improved risk reclassification for prognosis prediction.

scholarly journals Neutrophil-Lymphocyte Count Ratio Better Predict Prognosis than Conventional Markers in Critical Patients? A Multiple-Centered Retrospective Cohort Study

2020 ◽  
Author(s):  
Tao Zhou ◽  
Nan Zheng ◽  
Xiang Li ◽  
Dongmei Zhu ◽  
YI HAN
Keyword(s):  
Cohort Study ◽  
Critical Illness ◽  
Retrospective Cohort Study ◽  
Lymphocyte Count ◽  
Inflammatory Markers ◽  
Retrospective Cohort ◽  
Apache Ii ◽  
Apache Ii Score ◽  
C Reactive Protein ◽  
Reactive Protein

Abstract Background: Neutrophil-lymphocyte count ratio (NLCR) has been reported as better indicator of bacteremia than procalcitonin (PCT), and better predictor of mortality than C-reactive protein (CRP) in various medical conditions. However, large controversy remains upon this topic. We compared the efficiency of NLCR with conventional inflammatory markers in predicting the prognosis of critical illness. Methods: We performed a multiple-centered retrospective cohort study consisting of 536 ICU patients with outcomes of survival, 28- and 7-day mortality. NLCR was compared with conventional inflammatory markers such as PCT, C-reactive protein (CRP), serum lactate (LAC), white blood cell, neutrophil and severity score APACHE II (Acute Physiology and Chronic Health Evaluation II) to evaluate the predictive value on outcomes of critical illness. Then receiver operating characteristics (ROC) curves were constructed to assess and compare each marker’s sensitivity and specificity respectively. Results: NLCR values were not differential among survival and mortality groups. Meanwhile remarkable differences were observed upon APACHE II score, CRP, PCT and LAC levels among survival and death groups. ROC analysis revealed that NLCR was not competent to predict prognosis of critical illness. The AUROCs of conventional markers such as CRP, PCT, LAC and APACHE II score were more significant in predicting 28- and 7-day mortality. Conclusions: NLCR is not competent and less reliable than conventional markers CRP, PCT, LAC and APACHE II score in assessing severity and in predicting outcomes of critical illness.

scholarly journals Neutrophil-lymphocyte count ratio better predict prognosis than conventional markers in critical patients? A multiple-centered retrospective cohort study

2020 ◽  
Author(s):  
Tao Zhou ◽  
Nan Zheng ◽  
Xiang Li ◽  
Dongmei Zhu ◽  
Yi Han
Keyword(s):  
Cohort Study ◽  
Critical Illness ◽  
Retrospective Cohort Study ◽  
Lymphocyte Count ◽  
Inflammatory Markers ◽  
Retrospective Cohort ◽  
Apache Ii ◽  
Apache Ii Score ◽  
C Reactive Protein ◽  
Reactive Protein

Abstract Background: Neutrophil-lymphocyte count ratio (NLCR) has been reported as better indicator of bacteremia than procalcitonin (PCT), and better predictor of mortality than C-reactive protein (CRP) in various medical conditions. However, large controversy remains upon this topic. We compared the efficiency of NLCR with conventional inflammatory markers in predicting the prognosis of critical illness. Methods: We performed a multiple-centered retrospective cohort study consisting of 536 ICU patients with outcomes of survival, 28- and 7-day mortality. NLCR was compared with conventional inflammatory markers such as PCT, C-reactive protein (CRP), serum lactate (LAC), white blood cell, neutrophil and severity score APACHE II (Acute Physiology and Chronic Health Evaluation II) to evaluate the predictive value on outcomes of critical illness. Then receiver operating characteristics (ROC) curves were constructed to assess and compare each marker’s sensitivity and specificity respectively. Results: NLCR values were not differential among survival and mortality groups. Meanwhile remarkable differences were observed upon APACHE II score, CRP, PCT and LAC levels among survival and death groups. ROC analysis revealed that NLCR was not competent to predict prognosis of critical illness. The AUROCs of conventional markers such as CRP, PCT, LAC and APACHE II score were more significant in predicting 28- and 7-day mortality. Conclusions: NLCR is not competent and less reliable than conventional markers CRP, PCT, LAC and APACHE II score in assessing severity and in predicting outcomes of critical illness.

scholarly journals A Longitudinal Study of the Association Between Persistent Pathogens and Incident Depression Among Older U.S. Latinos

2018 ◽  
Vol 74 (5) ◽  
pp. 634-641 ◽  
Author(s):  
Amanda M Simanek ◽  
Cheng Zheng ◽  
Robert Yolken ◽  
Mary Haan ◽  
Allison E Aiello
Keyword(s):  
Odds Ratio ◽  
Inflammatory Markers ◽  
Total Sample ◽  
C Reactive Protein ◽  
Varicella Zoster ◽  
Reactive Protein ◽  
Severity Of Depression ◽  
Simplex Virus ◽  
Persistent Pathogens

Abstract Depression is estimated to affect more than 6.5 million Americans 65 years of age and older and compared with non-Latino whites older U.S. Latinos have a greater incidence and severity of depression, warranting further investigation of novel risk factors for depression onset among this population. We used data on 771/1,789 individuals ≥60 years of age from the Sacramento Area Latino Study on Aging (1998–2008) who were tested for cytomegalovirus (CMV), herpes simplex virus, varicella zoster, Helicobacter pylori, Toxoplasma gondii, and C-reactive protein (CRP) and interleukin-6 (IL-6) level. Among those without elevated depressive symptoms at baseline, we examined the association between each pathogen, inflammatory markers and incident depression over up to nearly 10 years of follow-up using discrete-time logistic regression. We found that only CMV seropositivity was statistically significantly associated with increased odds of incident depression (odds ratio [OR]: 1.38, 95% confidence interval [CI]: 1.00–1.90) in the total sample as well as among women only (OR: 1.70, 95% CI: 1.01–2.86). These associations were not mediated by CRP or IL-6 levels. Our findings suggest that CMV seropositivity may serve as an important risk factor for the onset of depression among older U.S. Latinos, but act outside of inflammatory pathways.

scholarly journals APACHE II score, C-reactive protein and Marshall score in acute pancreatitis. Association with admission at critical care unit. A cohort study

HPB ◽  
2016 ◽  
Vol 18 ◽  
pp. e321-e322
Author(s):  
H. Losada Morales ◽  
A. Troncoso Trujillo ◽  
L. Burgos San Juan ◽  
J. Silva Abarca ◽  
L. Acencio Barrientos ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Critical Care ◽  
Cohort Study ◽  
Critical Care Unit ◽  
Apache Ii ◽  
Apache Ii Score ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Marshall Score

scholarly journals Early Changes in Blood Urea Nitrogen (BUN) Can Predict Mortality in Acute Pancreatitis: Comparative Study between BISAP Score, APACHE-II, and Other Laboratory Markers—A Prospective Observational Study

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Elizabeth Pando ◽  
Piero Alberti ◽  
Rodrigo Mata ◽  
María José Gomez ◽  
Laura Vidal ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Prospective Observational Study ◽  
Predictive Accuracy ◽  
Multiorgan Failure ◽  
Area Under The Curve ◽  
Apache Ii ◽  
Operating Characteristics ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Score Apache

Background. Changes in BUN have been proposed as a risk factor for complications in acute pancreatitis (AP). Our study aimed to compare changes in BUN versus the Bedside Index for Severity in Acute Pancreatitis (BISAP) score and the Acute Physiology and Chronic Health Evaluation-II score (APACHE-II), as well as other laboratory tests such as haematocrit and its variations over 24 h and C-reactive protein, in order to determine the most accurate test for predicting mortality and severity outcomes in AP. Methods. Clinical data of 410 AP patients, prospectively enrolled for study at our institution, were analyzed. We define AP according to Atlanta classification (AC) 2012. The laboratory test’s predictive accuracy was measured using area-under-the-curve receiver-operating characteristics (AUC) analysis and sensitivity and specificity tests. Results. Rise in BUN was the only score related to mortality on the multivariate analysis ( p = 0.000 , OR: 12.7; CI 95%: 4.2−16.6). On the comparative analysis of AUC, the rise in BUN was an accurate test in predicting mortality (AUC: 0.842) and persisting multiorgan failure (AUC: 0.828), similar to the BISAP score (AUC: 0.836 and 0.850) and APACHE-II (AUC: 0.756 and 0.741). The BISAP score outperformed both APACHE-II and rise in BUN at 24 hours in predicting severe AP (AUC: 0.873 vs. 0.761 and 0.756, respectively). Conclusion. Rise in BUN at 24 hours is a quick and reliable test in predicting mortality and persisting multiorgan failure in AP patients.

scholarly journals Procalcitonin and C-reactive Protein Perform Better Than Neutrophil-Lymphocyte Count Ratio on Evaluation of Hospital Acquired Pneumonia

2020 ◽  
Author(s):  
Nan Zheng ◽  
YI HAN
Keyword(s):  
Early Diagnosis ◽  
Roc Curves ◽  
Diagnostic Value ◽  
Apache Ii ◽  
Apache Ii Score ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Discriminant Ability ◽  
Hospital Acquired Pneumonia ◽  
Hospital Acquired

Abstract Background: Early diagnosis and severity evaluation are key factors to achieve improved outcomes of hospital acquired pneumonia (HAP). We are constantly in search of more sensitive and specific biomarkers to improve timely diagnosis and survival.Methods: 593 cases of adult patients were enrolled into this retrospective cohort study to determine neutrophil-lymphocyte count ratio (NLCR), procalcitonin (PCT), C-reactive protein (CRP), serum lactate level and APACHE (Acute Physiology and Chronic Health Evaluation) II score at the admission of ICU. Patients were divided into 2 groups according to diagnosis: non-infection and HAP. Discriminant analysis was applied to which marker or what composition of markers performed better regarding to the diagnostic value and severity evaluation. The diagnostic value of each individual biomarker was assessed by construction of receiver operating characteristic (ROC) curves, calculation of the area under each ROC curves (AUROC). Multivariate analysis was also applied to detect most appropriate prognostic factors.Results: Remarkable differences were observed on NLCR, PCT, CRP and APACHE II scores between non-infection and HAP group. Regarding to discriminant ability of severe infection, the AUROC of NLCR (0.56; 95%CI 0.52-0.61) was not comparative with any of other single markers such as PCT (0.63; 95% CI 0.59-0.68), CRP (0.60; 95% CI 0.54-0.67), or APACHE II score (0.68; 95% CI 0.64-0.73). Compared to the single biomarkers, APACHE II score presented higher discriminant ability with greater AUROC. Besides, AUROC of the composite biomarker PCT-CRP-NLCR (0.66; 95% CI 0.61-0.70) was significantly greater than any of the single biomarkers, and its discriminant ability was comparable to APACHE II score.Conclusions: NLCR is not comparable to other single biomarkers such as PCT, CRP, or APACHE II score regarding to diagnosis or to severity evaluation of HAP. Composite biomarkers can prompt early diagnosis and severity evaluation with improved accessibility, especially the composition of PCT-CRP-NLCR.

scholarly journals The C-Reactive Protein/Albumin Ratio as a Predictor of Mortality in Critically Ill Patients

2018 ◽  
Vol 7 (10) ◽  
pp. 333 ◽  
Author(s):  
Ji Park ◽  
Kyung Chung ◽  
Joo Song ◽  
Song Kim ◽  
Eun Kim ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Univariate Analysis ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Proportional Hazard ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Reactive Protein ◽  
Cox Proportional Hazard

The C-reactive protein (CRP)/albumin ratio has recently emerged as a marker for poor prognosis or mortality across various patient groups. This study aimed to identify the association between CRP/albumin ratio and 28-day mortality and predict the accuracy of CRP/albumin ratio for 28-day mortality in medical intensive care unit (ICU) patients. This was a retrospective cohort study of 875 patients. We evaluated the prognostic value of CRP/albumin ratio to predict mortality at 28 days after ICU admission, using Cox proportional hazard model and Kaplan-Meier survival analysis. The 28-day mortality was 28.0%. In the univariate analysis, the Acute Physiology and Chronic Health Evaluation II (APACHE II) score (p < 0.001), CRP level (p = 0.045), albumin level (p < 0.001), and CRP/albumin ratio (p = 0.032) were related to 28-day mortality. The area under the receiver operating characteristic (ROC) curve (the area under the ROC curves (AUC)) of CRP/albumin ratio was higher than that of CRP for mortality (0.594 vs. 0.567, p < 0.001). The cut-off point for CRP/albumin ratio for mortality was 34.3. On Cox proportional-hazard regression analysis, APACHE II score (hazards ratio (HR) = 1.05, 95% confidence interval (CI) = 1.04–1.07, p < 0.001) and CRP/albumin ratio (HR = 1.68, 95% CI = 1.27–2.21, p < 0.001 for high CRP/albumin ratio) were independent predictors of 28-day mortality. Higher CRP/albumin ratio was associated with increased mortality in critically ill patients.

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