A high C-reactive protein/procalcitonin ratio predicts Mycoplasma pneumoniae infection

2019 ◽  
Vol 57 (10) ◽  
pp. 1638-1646 ◽  
Author(s):  
Olivia L. Neeser ◽  
Tanja Vukajlovic ◽  
Laetitia Felder ◽  
Sebastian Haubitz ◽  
Angelika Hammerer-Lercher ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Mycoplasma Pneumoniae ◽  
Viral Infections ◽  
Tertiary Care ◽  
Multivariate Logistic Regression Analysis ◽  
Empiric Antibiotic Therapy ◽  
Care Hospital ◽  
C Reactive Protein ◽  
Neutrophil Lymphocyte Ratio ◽  
Reactive Protein

Abstract Background Discriminating Mycoplasma pneumoniae (MP) from Streptococcus pneumoniae (SP) and viral etiologies of community-acquired pneumonia (CAP) is challenging but has important implications regarding empiric antibiotic therapy. We investigated patient parameters upon hospital admission to predict MP infection. Methods All patients hospitalized in a tertiary care hospital between 2013 and 2017 for CAP with a confirmed etiology were analyzed using logistic regression analyses and area under the receiver operator characteristics (ROC) curves (AUC) for associations between demographic, clinical and laboratory features and the causative pathogen. Results We analyzed 568 patients with CAP, including 47 (8%) with MP; 152 (27%) with SP and 369 (65%) with influenza or other viruses. Comparing MP and SP by multivariate logistic regression analysis, younger age (odds ration [OR] 0.56 per 10 years, 95% CI 0.42–0.73), a lower neutrophil/lymphocyte ratio (OR 0.9, 0.82–0.99) and an elevated C-reactive protein/procalcitonin (CRP/PCT) ratio (OR 15.04 [5.23–43.26] for a 400 mg/μg cut-off) independently predicted MP. With a ROC curve AUC of 0.91 (0.80 for the >400 mg/μg cutoff), the CRP/PCT ratio was the strongest predictor of MP vs. SP. The discriminatory value resulted from significantly lower PCT values (p < 0.001) for MP, while CRP was high in both groups (p = 0.057). Comparing MP and viral infections showed similar results with again the CRP/PCT ratio providing the best information (AUC 0.83; OR 5.55 for the >400 mg/μg cutoff, 2.26–13.64). Conclusions In patients hospitalized with CAP, a high admission CRP/PCT ratio predicts M. pneumoniae infection and may improve empiric management.

scholarly journals Combined use of procalcitonin and C-reactive protein levels can help clinically diagnose bacterial co-infections in children infected with H1N1 influenza

2018 ◽  
Author(s):  
Zhihao Li ◽  
Liya He ◽  
Shuhua Li ◽  
Waner He ◽  
Caihui Zha ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Influenza Infection ◽  
Tertiary Care ◽  
Multivariate Logistic Regression Analysis ◽  
H1n1 Influenza ◽  
Diagnostic Value ◽  
Care Hospital ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Study Laboratory

AbstractObjectiveThis study evaluated the diagnostic value of measuring the levels of procalcitonin (PCT) and C-reactive protein (CRP) to differentiate children co-infected with H1N1 influenza and bacteria from children infected with H1N1 influenza alone and to provide a reliable clinical diagnostic support system with improved accuracy and precision control.MethodsConsecutive patients (children aged <5 years) with laboratory-confirmed H1N1 influenza who were hospitalized or received outpatient care from a tertiary-care hospital in Canton, China between 1 January 2012 and 1 September 2017 were included in the present study. Laboratory results, including serum PCT and CRP levels, white blood cell (WBC) counts, and blood and sputum cultures, were analyzed. The predictive value of the combination of biomarkers versus either biomarker alone for diagnosing bacterial co-infections was evaluated using logistic regression analyses.ResultsOf 3180 children infected with H1N1 influenza, 226 (7.1%) met the bacterial co-infection criteria, with Staphylococcus pneumoniae being the most commonly identified bacteria (36.28%). Significantly higher PCT (1.46 vs 0.21 ng/ml, p<0.001) and CRP (19.20 vs 5.10 mg/dl, p<0.001) levels were detected in the bacterial co-infection group than in the H1N1 infection only group. Multivariate logistic regression analysis showed independent associations between PCT (odds ratio [OR]: 1.73, 95% confidence interval [CI],1.34-2.42, p<0.001) and CRP levels (OR:1.09, 95% CI, 1.06-1.13, p<0.001) with bacterial co-infections. Using PCT or CRP levels alone, the areas under the curves (AUCs) for predicting bacterial co-infections were 0.801 (95%CI, 0.772-0.855) and 0.762 (95%CI, 0.722-0.803), respectively. Using a combination of PCT and CRP, the logistic regression-based model, Logit(P)=-1.912+0.546 PCT+0.087 CRP, showed significantly greater accuracy (AUC: 0.893, 95%CI: 0.842-0.934) than did the other three biomarkers.ConclusionsThe combination of PCT and CRP levels could provide a useful method of distinguishing bacterial co-infections from an H1N1 influenza infection alone in children during the early disease phase. After further validation, the flexible model derived here could assist clinicians in decision-making processes.

Utility of Blood Markers in Early Prediction of Bacteraemia in Acute Febrile Paediatric Patients – An Observational Cohort Study in a Tertiary Care Hospital of North India

2021 ◽  
Vol 8 (28) ◽  
pp. 2526-2531
Author(s):  
Rabindra Bhunia ◽  
Bindu T. Nair ◽  
Vandana Negi
Keyword(s):  
Tertiary Care Hospital ◽  
Leukocyte Count ◽  
Tertiary Care ◽  
North India ◽  
Total Leukocyte Count ◽  
Care Hospital ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Neutrophil Percentage ◽  
Observational Cohort

BACKGROUND Bacteraemia is a common cause of children presenting to the paediatric emergency with acute febrile illness. Blood cultures remain the gold standard for detection of bacteraemia but the positivity is low and also takes time to show positive results. A rapid and reliable biomarker like procalcitonin (PCT), C-reactive protein (CRP), total leucocyte count (TLC), and neutrophil-lymphocyte count ratio (NLCR) can be used to identify febrile children with greater risk for bacteraemia or serious bacterial infections. This would be very helpful to start early treatment of bacteraemia with antibiotics. METHODS The study was an observational cohort study conducted in the Department of Paediatrics of a tertiary care hospital in North India in children between age group 6 months to 12 years presenting with fever of > 100.4° F for 2 - 7 days. Blood samples were sent for PCT, CRP, TLC, NLCR and blood cultures. RESULTS The most sensitive biomarker was total leukocyte count (47.36 %) followed by the neutrophil percentage (26.32 %), C-reactive protein (21.05 %), and procalcitonin (15.79 %). The most specific biomarker was procalcitonin (75.14 %) followed by C-reactive protein (58.56 %), neutrophil percentage (22.65 %) and total leukocyte count (11.05 %). The only biomarker that was statistically significant between the bacteraemia and non-bacteraemia group in the present study was total leukocyte count (P – value < 0.05). CONCLUSIONS The sensitivity and specificity of each single biomarker is low and hence these cannot be used singly to predict bacteraemia. There should be a combination of biomarkers with adequate sensitivity and specificity that can be used to create an algorithm to aid in diagnosis and prognostication. KEYWORDS Procalcitonin, C-Reactive Protein, Blood Culture, Acute Febrile Patient

scholarly journals A novel procalcitonin-based score for detecting sepsis among critically ill patients

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245748
Author(s):  
Tung-Lin Tsui ◽  
Ya-Ting Huang ◽  
Wei-Chih Kan ◽  
Mao-Sheng Huang ◽  
Min-Yu Lai ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Validation Cohort ◽  
Multivariate Logistic Regression Analysis ◽  
Sepsis Group ◽  
C Reactive Protein ◽  
Multivariate Logistic Regression ◽  
Reactive Protein

Background Procalcitonin (PCT) has been widely investigated as an infection biomarker. The study aimed to prove that serum PCT, combining with other relevant variables, has an even better sepsis-detecting ability in critically ill patients. Methods We conducted a retrospective cohort study in a regional teaching hospital enrolling eligible patients admitted to intensive care units (ICU) between July 1, 2016, and December 31, 2016, and followed them until March 31, 2017. The primary outcome measurement was the occurrence of sepsis. We used multivariate logistic regression analysis to determine the independent factors for sepsis and constructed a novel PCT-based score containing these factors. The area under the receiver operating characteristics curve (AUROC) was applied to evaluate sepsis-detecting abilities. Finally, we validated the score using a validation cohort. Results A total of 258 critically ill patients (70.9±16.3 years; 55.4% man) were enrolled in the derivation cohort and further subgrouped into the sepsis group (n = 115) and the non-sepsis group (n = 143). By using the multivariate logistic regression analysis, we disclosed five independent factors for detecting sepsis, namely, “serum PCT level,” “albumin level” and “neutrophil-lymphocyte ratio” at ICU admission, along with “diabetes mellitus,” and “with vasopressor.” We subsequently constructed a PCT-based score containing the five weighted factors. The PCT-based score performed well in detecting sepsis with the cut-points of 8 points (AUROC 0.80; 95% confidence interval (CI) 0.74–0.85; sensitivity 0.70; specificity 0.76), which was better than PCT alone, C-reactive protein and infection probability score. The findings were confirmed using an independent validation cohort (n = 72, 69.2±16.7 years, 62.5% men) (cut-point: 8 points; AUROC, 0.79; 95% CI 0.69–0.90; sensitivity 0.64; specificity 0.87). Conclusions We proposed a novel PCT-based score that performs better in detecting sepsis than serum PCT levels alone, C-reactive protein, and infection probability score.

scholarly journals Association between C reactive protein and obesity: a study in a tertiary care hospital

2019 ◽  
Vol 6 (5) ◽  
pp. 1535
Author(s):  
Lavanya Mandli
Keyword(s):  
Blood Pressure ◽  
Blood Glucose ◽  
Cardiovascular Diseases ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Care Hospital ◽  
Obese Patients ◽  
Elevated Blood ◽  
C Reactive Protein ◽  
Reactive Protein

Background: Obesity and dyslipidemia, especially in children and adolescents coupled with impaired blood glucose metabolism and elevated blood pressure may result in atherosclerosis in the older ages. This study was conducted to assess the association between high levels of CRP with obesity.Methods: Details including height and weight for BMI and serum for C reactive protein estimation was collected for all 134 patients.Results: 60.4% were females and 49.6% were males. Among the obese patients, clinically raised CRP levels was observed in 29.2% and elevated CRP levels in 45.8% levels, while in overweight patients, 21.4% had clinically raised CRP and 46.4% has elevated CRP levels. In normal BMI patients, elevated CRP was seen in 22% and clinically raised in 1.9%.Conclusion: Detection of CRP levels in overweight and obese patients is imperative in the early stages itself to prevent cardiovascular diseases.

scholarly journals Assessment of different stress responses after laparoscopic and open cholecystectomy in patients attending tertiary care hospital, Bhuj, Gujarat, India: a prospective study

2017 ◽  
Vol 4 (5) ◽  
pp. 1575
Author(s):  
Bhavin Kothari ◽  
Gyaneshwar Rao
Keyword(s):  
Laparoscopic Cholecystectomy ◽  
Stress Responses ◽  
Open Cholecystectomy ◽  
Tertiary Care ◽  
Serum Cortisol ◽  
The Body ◽  
Surgical Trauma ◽  
Care Hospital ◽  
C Reactive Protein ◽  
Reactive Protein

Background: Surgical trauma by incision and dissection of tissue stimulates the body to respond proportionately to the extent of injury. This study was conducted with an aim to compare metabolic and inflammatory responses after laparoscopic and open cholecystectomy namely serum cortisol and C-reactive protein levels before and after operation at Bhuj, Kutch, India.Methods: Present study was non-randomized, and comparative study carry out in the General Surgery Department at Gujarat Adani prospective institute of Medical Science, Bhuj, Kutch, Gujarat, India for an era of two years. One hundred and two patients were included in this study and were divided into two groups of open and laparoscopic cholecystectomy. Out of these 102 patients, 41 undergo open cholecystectomy and 61 laparoscopic cholecystectomy. Preoperative, intraoperative, postoperative and anesthetic medications were consistent in all the patients.Results: It was found that metabolic responses like serum cortisol were significantly higher after open procedure 6 hours and 48 hours postoperatively. Similarly, inflammatory response indicator C-reactive protein was raised significantly higher 48 hours after open as compared to laparoscopic cholecystectomy.Conclusions: Open cholecystectomy caused further tissue responses as compared to its laparoscopic alternative.

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