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

2020 ◽  
Author(s):  
Nan Zheng ◽  
Dongmei Zhu New ◽  
YI HAN
Keyword(s):  
Lymphocyte Count ◽  
Diagnostic Performance ◽  
Multivariable Analysis ◽  
Previous History ◽  
Roc Curves ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Count Ratio ◽  
Hospital Acquired Pneumonia ◽  
Hospital Acquired

Abstract Background: The relationship between biomarkers and hospital acquired pneumonia (HAP) is under studied, especially those severe cases admitted to the intensive care unit (ICU). Compared with community acquired pneumonia (CAP), HAP might have different traits regarding biomarkers due to the previous history in the hospitals. Methods: 593 adult patients were enrolled into this retrospective cohort study to determine neutrophil-lymphocyte count ratio (NLCR), procalcitonin (PCT), C-reactive protein (CRP) and serum lactate level at the admission of ICU. According to the diagnosis, patients were divided into two groups: non-infection and HAP. Discriminant analysis was performed based on better outcomes of diagnostic performance and severity evaluation. The diagnostic performance of each individual biomarker was assessed by construction of receiver operating characteristic (ROC) curves and calculation of the area under each ROC curves (AUROC). Multivariable analysis was also applied to determine most appropriate prognostic factors. Results: NLCR, PCT and CRP between non-infection and HAP group showed remarkable differences. Because of discriminant ability of severe infection, the AUROC of NLCR (0.626; 95%CI 0.581-0.671) was not comparative with conventional markers such as CRP (0.685; 95% CI 0.641-0.730) and PCT (0.661; 95% CI 0.615-0.707). Besides, AUROC of composite biomarkers, especially the combination of NLCR, CRP and WBC, were significantly greater than the single biomarkers. Conclusions: NLCR was not comparable to conventional single biomarkers such as CRP and PCT regarding to diagnosis or severity evaluation of HAP. Composite biomarkers could prompt early diagnosis and severity evaluation with improved accessibility, especially the combination of NLCR, CRP and WBC.

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 Clinical Characteristics in Patients with Hospital-Acquired Pneumonia Caused by Extensively Drug-Resistant Acinetobacter baumannii, A Multicenter Retrospective Study

2020 ◽  
Author(s):  
Yujun Li ◽  
Xiaomei Huang ◽  
Yuyao Wang ◽  
Chuzhi Pan ◽  
Zexun Mo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mechanical Ventilation ◽  
Hospital Mortality ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Drug Resistant ◽  
Central Venous ◽  
Hospital Acquired Pneumonia ◽  
Hospital Acquired ◽  
Lactamase Inhibitor

Abstract Background Extremely drug-resistant (XDR) Acinetobacter baumannii （A. baumannii）has been of a great concern. The relationship between XDR and patient outcomes remains unclear. We investigated the clinical features, risk factors, and outcomes of Hospital-acquired pneumonia (HAP)caused by XDR A. baumannii. Methods A multicenter retrospective case-control study was performed to determine factors associated with XDR A. baumannii pneumonia from 5 teaching hospitals in Guangzhou, China. Results 76 patients were enrolled in the study. XDR A. baumannii pneumonia patients were tend to be smoker (11.9% vs 3.9%, P = 0.130) and older (76.5±11.2 vs 70.3±16.4, P = 0.007) and had more comorbid diseases including chronic obstructive pulmonary disease (COPD) (48.7% vs 21.1%, P = 0.001) and renal failure (21.1% vs 3.9%, P = 0.002) and had higher APACHE II score (65.8% vs 47.4%, P = 0.033). Invasive procedures including insertion of urinary catheter, nasogastric tube, central venous/arterial catheter, bronchoscopy and mechanical ventilation along with using β-lactam/β-lactamase inhibitor and carbapenem were also risk factors for XDR A. baumannii pneumonia. Multivariate analysis showed the APACHE II score >=20 (OR, 2.1; 95% CI: 1.1–4.1, P = 0.023), COPD (OR, 9.6; 95% CI: 2.0–45.5, P = 0.004), central venous/arterial catheter placement (OR,11.5; 95% CI: 1.1-117.8, P = 0.040), low albumin levels (OR, 1.2; 95% CI: 1.1-1.4, P = 0.001) and using β-lactam/β-lactamase inhibitor (OR,15.9; 95% CI: 2.7-94.2, P = 0.002) were independent risk factors for XDR A. baumannii pneumonia. Compared with the non-XDR A. baumannii patients, the XDR A. baumannii pneumonia increased length of mechanical ventilation (11.1±12.3 vs 5.1±5.6, P = 0.000), hospital stay (42.2±24.3 vs 34.8±18.0, P = 0.036) and ICU (Intensive Care Unit) stay (27.5±19.0 vs 20.0±20.5, P = 0.020), but it did not increase in-hospital mortality (47.4% vs 32.9%, P = 0.137). Conclusions XDR A. baumannii pneumonia was strongly related to systemic illnesses, invasive procedure, low albumin levels and the APACHE II score and increasing the length of mechanical ventilation and hospital stay. But it did not increase in-hospital mortality.

scholarly journals Soluble myeloid triggering receptor expressed on myeloid cell 1 might have more diagnostic value for bacterial ascites than C-reactive protein

2018 ◽  
Vol 13 (1) ◽  
pp. 456-462
Author(s):  
Qiang Guo ◽  
Chuanqin Xu ◽  
Chao Sun ◽  
Yubao Zhao ◽  
Weifu Zhang
Keyword(s):  
Predictive Value ◽  
Myeloid Cell ◽  
Roc Curves ◽  
Diagnostic Value ◽  
Control Group ◽  
Health Examination ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Sensitivity Specificity ◽  
Medical University

AbstractThe timely and accurate diagnosis of ascites is of great significance for early treatment and prognostication. This study explored the value of soluble myeloid triggering receptor expressed on myeloid cell 1 (sTREM-1) and C-reactive protein (CRP) for assessing ascites. A total of 133 patients with ascites who received treatment at the Affiliated Hospital of Taishan Medical University between September 2015 and September 2017 were retrospectively analyzed. The ascites in 22, 45, 33 and 33 patients were tuberculous, bacterial, tumorous, and transudative, respectively. Healthy volunteers (n=30) who received a health examination at the same hospital during the same period constituted the control group. Before treatment, both ascitic sTREM-1 and CRP showed significant differences among the ascites subgroups (P<0.001), with the highest levels in the bacterial subgroup. Serum sTREM-1 and CRP also showed significant differences among the groups. A correlation analysis showed a positive correlation between sTREM-1 and CRP. ROC curves of the bacterial subgroup showed that when the optimal cutoff point was set to 20.2, the sensitivity, specificity, positive predictive value, and negative predictive value of the serum sTREM-1 index were 0.933, 0.955, 0.914, and 0.965, respectively. sTREM-1 may provide more diagnostic value than CRP for the diagnosis of bacterial ascites.

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 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 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.

Usefulness of several biomarkers in the management of septic patients: C-reactive protein, procalcitonin, presepsin and mid-regional pro-adrenomedullin

2016 ◽  
Vol 54 (1) ◽  
Author(s):  
Alfredo Enguix-Armada ◽  
Rocío Escobar-Conesa ◽  
Angela García-De La Torre ◽  
María Victoria De La Torre-Prados
Keyword(s):  
Area Under The Curve ◽  
Diagnostic Value ◽  
Apache Ii Score ◽  
C Reactive Protein ◽  
Roc Curve Analysis ◽  
Icu Admission ◽  
Noticeable Increase ◽  
Reactive Protein ◽  
Parametric Statistics ◽  
The Difference

AbstractOur objective is to analyze whether the combination of C-reactive protein (CRP), procalcitonin (PCT), presepsin or SCD14-ST and mid-regional pro-adrenomedullin (MR-proADM) measured in the first 24 h from ICU admission allowing a better management of septic patients (diagnostic and prognostic) both in severe sepsis (SS) and septic shock (SSh).Cohort study of 388 patients admitted in the ICU during 12 months of whom 142 were controls. Biomarkers were measured through immunoluminometric assays in samples of serum or plasma within the first 24 h after admission. Data were evaluated with non-parametric statistics bivariant, ROC curve analysis for diagnostic evaluation and multivariate analyses for survival analysis.In the analyzed cohort, 61.8% of patients were males, mean age: 63 years range (18–90) and 67.8% in controls mean age: 63 years, range (39–91). PCT showed the highest area under the curve (AUC) (0.989) as compared with the rest of biomarkers (p<0.01). PCT also enabled the difference between Gram-positive or Gram-negative bacteria to be determined. The AUCs for CRP (0.922) and presepsin (0.948) showed a similar diagnostic value. In cases of SSh, the AUC of presepsin experienced a noticeable increase (p<0.0001). MR-proADM showed a better prognostic value (p=0.00022) particularly in cases of SSh (p=0.00001) increasing along with the APACHE-II score.PCT, MR-proADM and presepsin are complementary markers that could be of great help in the management of septic patients when they are measured in the first 24 h after ICU admission.

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