scholarly journals Thrombocytosis as an additional predictor of serious bacterial infection in febrile young infants

2017 ◽  
Vol 4 (3) ◽  
pp. 1027
Author(s):  
Merin Eapen ◽  
Sreelatha P. R. ◽  
Jayakumar C.

Background: To estimate the incidence of Reactive Thrombocytosis among febrile young infants and to assess the utility of platelet count as a potential predictor of Serious bacterial infection (SBI).Methods: This study was conducted as a prospective study between January 2014 to September 2015 at the tertiary care pediatric unit, Alappuzha, India. The participants were all infants 30 to 89 days of age, admitted with rectal temperature >38°C. The results of the sepsis evaluation on admission were recorded. SBI included cases of occult bacteremia, urinary tract infection, bacterial meningitis, pneumonia, bacterial gastroenteritis and infections of the soft tissues and bones.Results: Of the 120 infants studied, 24 (28%) had SBI. Platelet count was significantly higher in infants with SBI compared to those without {Platelet count ≥ 4.5lakhs /mm3 in SBI (70.3%) vs. Non SBI (30.2%). Mean platelet count 4.82±1.4 in SBI vs. 3.9±1.2 in non SBI which was statistically significant (p<0.05). Thrombocytosis had moderate ability in predicting SBI (Area under curve area under the curve: 0.720). The combination of platelet count ≥450,000/mm3, WBC ≥15,000/mm3, C-reactive protein ≥1 mg/dl, pyuria ≥5 White blood cells (WBC) per High power field (HPF) and erythrocyte sedimentation rate (ESR) >30mm/hr resulted in identification of all infants with SBI.Conclusions: Thrombocytosis in combination with leukocytosis, elevated C-reactive protein, ESR, and pyuria, may help in early recognition of febrile young infants at risk for SBI. 

2019 ◽  
Vol 16 (41) ◽  
pp. 401-404
Author(s):  
Deepak Mishra ◽  
Amit Kumar Das ◽  
Ram Hari Chapagain ◽  
Nitu Kumari Jha ◽  
Ganesh Kumar Rai

Background: Most of the febrile infants <90 days old will have no more than a mild viral infection but there is a substantial minority that will be diagnosed as having serious bacterial infection at a reported prevalence of 10–14%. A simple, readily available, inexpensive diagnostic marker that yields results quickly and also accurately identifies bacterial infections in febrile infants would be of great value in management of these infants. This study aims to assess the role of thrombocytosis in predicting serious bacterial infection in young febrile infants beyond neonatal period.Methods: A hospital based cross-sectional observational study was conducted from May 2016 to April 2017 on 76 febrile infants of age group 29-90 days in Kanti Children’s Hospital.Results: The incidence of serious bacterial infection was found 43 (56.6%). Thrombocytosis, elevated C-reactive protein and pyuria were significantly higher in serious bacterial infection cases (p value <0.05). Thrombocytosis alone had the sensitivity of only 53.5%, but had specificity of 90.9%. Elevated C-reactive protein had the best sensitivity (81.4%). Combination of leukocytosis, elevated C-reactive protein, pyuria and thrombocytosis had better sensitivity (93.0%) than these parameters alone. The overall ability of platelet count to identify infants with SBI was only moderate (AUC: 0.722). Elevated C-reactive protein was found to have better ability to identify infants with serious bacterial infection (AUC: 0.846).Conclusions: Thrombocytosis is a common finding in young infants diagnosed with serious bacterial infection. It has however, moderate ability in identifying infants with serious bacterial infection. Combining thrombocytosis with elevated C-reactive protein, leukocytosis and pyuria has better sensitivity in diagnosing serious bacterial infection than these individual parameters alone. Hence, combining these parameters may help in early prediction of febrile young infants at risk of serious bacterial infection.Keywords: Febrile young infants; serious bacterial infection; thrombocytosis.


2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Ghodsiyeh Azarkar ◽  
Freshteh Osmani

Abstract Background The coronavirus disease 2019(COVID-19) has affected mortality worldwide. The Cox proportional hazard (CPH) model is becoming more popular in time-to-event data analysis. This study aimed to evaluate the clinical characteristics in COVID-19 inpatients including (survivor and non-survivor); thus helping clinicians give the right treatment and assess prognosis and guide the treatment. Methods This single-center study was conducted at Hospital for COVID-19 patients in Birjand. Inpatients with confirmed COVID-19 were included. Patients were classified as the discharged or survivor group and the death or non-survivor group based on their outcome (improvement or death). Clinical, epidemiological characteristics, as well as laboratory parameters, were extracted from electronic medical records. Independent sample T test and the Chi-square test or Fisher’s exact test were used to evaluate the association of interested variables. The CPH model was used for survival analysis in the COVID-19 death patients. Significant level was set as 0.05 in all analyses. Results The results showed that the mortality rate was about (17.4%). So that, 62(17%) patients had died due to COVID-19, and 298 (83.6%) patients had recovered and discharged. Clinical parameters and comorbidities such as oxygen saturation, lymphocyte and platelet counts, hemoglobin levels, C-reactive protein, and liver and kidney function, were statistically significant between both studied groups. The results of the CPH model showed that comorbidities, hypertension, lymphocyte counts, platelet count, and C-reactive protein level, may increase the risk of death due to the COVID-19 as risk factors in inpatients cases. Conclusions Patients with, lower lymphocyte counts in hemogram, platelet count and serum albumin, and high C-reactive protein level, and also patients with comorbidities may have more risk for death. So, it should be given more attention to risk management in the progression of COVID-19 disease.


Author(s):  
Andriy Zhydkov ◽  
Mirjam Christ-Crain ◽  
Robert Thomann ◽  
Claus Hoess ◽  
Christoph Henzen ◽  
...  

AbstractThe added value of biomarkers, such as procalcitonin (PCT), C-reactive protein (CRP), and white blood cells (WBC), as adjuncts to clinical risk scores for predicting the outcome of patients with community-acquired pneumonia (CAP) is in question. We investigated the prognostic accuracy of initial and follow-up levels of inflammatory biomarkers in predicting death and adverse clinical outcomes in a large and well-defined cohort of CAP patients.We measured PCT, CRP and WBC on days 1, 3, 5, and 7 and followed the patients over 30 days. We applied multivariate regression models and area under the curve (AUC) to investigate associations between these biomarkers, the clinical risk score CURB-65, and clinical outcomes [i.e., death and intensive care unit (ICU) admission].Of 925 patients with CAP, 50 patients died and 118 patients had an adverse clinical outcome. None of the initial biomarker levels significantly improved the CURB-65 score for mortality prediction. Follow-up biomarker levels showed significant independent association with mortality at days 3, 5, and 7 and with improvements in AUC. Initial PCT and CRP levels were independent prognostic predictors of adverse clinical outcome, and levels of all biomarkers during the course of disease provided additional prognostic information.This study provides robust insights into the added prognostic value of inflammatory markers in CAP. Procalcitonin, CRP, and to a lesser degree WBC provided some prognostic information on CAP outcomes, particularly when considering their kinetics at days 5 and 7 and when looking at adverse clinical outcomes instead of mortality alone.


2021 ◽  
pp. 1-8
Author(s):  
Hanna Renk ◽  
David Grosse ◽  
Sarah Schober ◽  
Christian Schlensak ◽  
Michael Hofbeck ◽  
...  

Abstract Objectives: Differentiation between post-operative inflammation and bacterial infection remains an important issue in infants following congenital heart surgery. We primarily assessed kinetics and predictive value of C-reactive protein for bacterial infection in the early (days 0–4) and late (days 5–28) period after cardiopulmonary bypass surgery. Secondary objectives were frequency, type, and timing of post-operative infection related to the risk adjustment for congenital heart surgery score. Methods: This 3-year single-centre retrospective cohort study in a paediatric cardiac ICU analysed 191 infants accounting for 235 episodes of CPBP surgery. Primary outcome was kinetics of CRP in the first 28 days after CPBP surgery in infected and non-infected patients. Results: We observed 22 infectious episodes in the early and 34 in the late post-operative period. CRP kinetics in the early post-operative period did not accurately differentiate between infected and non-infected patients. In the late post-operative period, infected infants displayed significantly higher CRP values with a median of 7.91 (1.64–22.02) and 6.92 mg/dl (1.92–19.65) on days 2 and 3 compared to 4.02 (1.99–15.9) and 3.72 mg/dl (1.08–9.72) in the non-infection group. Combining CRP on days 2 and 3 after suspicion of infection revealed a cut-off of 9.47 mg/L with an acceptable predictive accuracy of 76%. Conclusions: In neonates and infants, CRP kinetics is not useful to predict infection in the first 72 hours after CPBP surgery due to the inflammatory response. However, in the late post-operative period, CRP is a valuable adjunctive diagnostic test in conjunction with clinical presentation and microbiological diagnostics.


2021 ◽  
Vol 8 (28) ◽  
pp. 2526-2531
Author(s):  
Rabindra Bhunia ◽  
Bindu T. Nair ◽  
Vandana Negi

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


2014 ◽  
Vol 2014 ◽  
pp. 1-4
Author(s):  
Athina Nikolarakou ◽  
Dana Dumitriu ◽  
Pierre-Louis Docquier

Primary arthritis of chondrosternal joint is very rare and occurs in infants less than 18 months of age. Presentation is most often subacute but may be acute. Child presents with a parasternal mass with history of fever and/or local signs of infection. Clinical symptoms vary from a painless noninflammatory to a painful mass with local tenderness and swelling, while fever may be absent. Laboratory data show low or marginally raised levels of white blood cells and C-reactive protein, reflecting, respectively, the subacute or acute character of the infection. It is a self-limiting affection due to the adequate immune response of the patient. Evolution is generally good without antibiotherapy with a progressive spontaneous healing. A wait-and-see approach with close follow-up in the first weeks is the best therapeutic option.


Neurosurgery ◽  
2015 ◽  
Vol 77 (5) ◽  
pp. 786-793 ◽  
Author(s):  
◽  
Carole L. Turner ◽  
Karol Budohoski ◽  
Christopher Smith ◽  
Peter J. Hutchinson ◽  
...  

Abstract BACKGROUND: There remains a proportion of patients with unfavorable outcomes after aneurysmal subarachnoid hemorrhage, of particular relevance in those who present with a good clinical grade. A forewarning of those at risk provides an opportunity towards more intensive monitoring, investigation, and prophylactic treatment prior to the clinical manifestation of advancing cerebral injury. OBJECTIVE: To assess whether biochemical markers sampled in the first days after the initial hemorrhage can predict poor outcome. METHODS: All patients recruited to the multicenter Simvastatin in Aneurysmal Hemorrhage Trial (STASH) were included. Baseline biochemical profiles were taken between time of ictus and day 4 post ictus. The t-test compared outcomes, and a backwards stepwise binary logistic regression was used to determine the factors providing independent prediction of an unfavorable outcome. RESULTS: Baseline biochemical data were obtained in approximately 91% of cases from 803 patients. On admission, 73% of patients were good grade (World Federation of Neurological Surgeons grades 1 or 2); however, 84% had a Fisher grade 3 or 4 on computed tomographic scan. For patients presenting with good grade on admission, higher levels of C-reactive protein, glucose, and white blood cells and lower levels of hematocrit, albumin, and hemoglobin were associated with poor outcome at discharge. C-reactive protein was found to be an independent predictor of outcome for patients presenting in good grade. CONCLUSION: Early recording of C-reactive protein may prove useful in detecting those good grade patients who are at greater risk of clinical deterioration and poor outcome.


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