Complications and risk factors for severe outcome in children with measles

2019 ◽  
Vol 105 (9) ◽  
pp. 896-899 ◽  
Author(s):  
Andrea Lo Vecchio ◽  
Andrzej Krzysztofiak ◽  
Carlotta Montagnani ◽  
Piero Valentini ◽  
Nadia Rossi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care ◽  
Retrospective Study ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Multivariable Analysis ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Operating Characteristic Curve ◽  
Organ Complications

Objective and designRisk factors for severe measles are poorly investigated in high-income countries. The Italian Society for Paediatric Infectious Diseases conducted a retrospective study in children hospitalised for measles from January 2016 to August 2017 to investigate the risk factors for severe outcome defined by the presence of long-lasting sequelae, need of intensive care or death.ResultsNineteen hospitals enrolled 249 children (median age 14.5 months): 207 (83%) children developed a complication and 3 (1%) died. Neutropaenia was more commonly reported in children with B3-genotype compared with other genotypes (29.5% vs 7.7%, p=0.01). Pancreatitis (adjusted OR [aOR] 9.19, p=0.01) and encephalitis (aOR 7.02, p=0.04) were related to severe outcome in multivariable analysis, as well as C reactive protein (CRP) (aOR 1.1, p=0.028), the increase of which predicted severe outcome (area under the receiver operating characteristic curve 0.67, 95% CI 0.52 to 0.82). CRP values >2 mg/dL were related to higher risk of complications (OR 2.0, 95% CI 1.15 to 3.7, p=0.01) or severe outcome (OR 4.13, 95% CI 1.43 to 11.8, p<0.01).ConclusionThe risk of severe outcome in measles is independent of age and underlying conditions, but is related to the development of organ complications and may be predicted by CRP value.

scholarly journals Usefulness of Lymphocyte ratio and CRP Level for Early Detection of Surgical Site Infection Following spinal surgery

2019 ◽  
Author(s):  
Wenbo Wei ◽  
Shajie Dang ◽  
Dapeng Duan ◽  
Liqun Gong ◽  
Jue Wang ◽  
...  
Keyword(s):  
Surgical Site Infection ◽  
Spinal Surgery ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Site Infection ◽  
C Reactive Protein ◽  
Lymphocyte Ratio ◽  
Reactive Protein ◽  
Operating Characteristic Curve

Abstract Background: To investigate the significant laboratory markers for early diagnosis of surgical site infection after spinal surgery. And determine the diagnostic cut-off values of these markers Methods: A total of 67 patients participated in the study: 11 patients who developed surgical site infection after spinal surgery (SSI Group) and 56 patients were compared with the infected group in terms of age，gender, operating time and intraoperative blood loss (Non-SSI Group). The white blood cell (WBC) count , WBC differential , C-reactive protein (CRP) and erythrocyte sedimentation rate(ESR) were determined before and 1, 3 and 7 days postoperatively . Then, we determine the diagnostic cutoff for these markers by using the receiver operating characteristic curve. Results: The CRP, ESR and WBC were significantly higher in the SSI group at 3 and 7 days postoperatively. The lymphocyte ratio at 3 days postoperatively was significantly lower in the SSI Group. Using the receiver operating characteristic curve，lymphocyte ratio <11.5% at 3 days postoperatively (sensitivity 90.9%, specificity 75.4%, area under the curve [AUC] 0.919), and C-reactive protein level >26 mg/dL at 7 days postoperatively (sensitivity 90.9%, specificity 87.7%, area under the curve [AUC] 0.954) were the significant laboratory marker for early detection of SSI Conclusion: Lymphocyte ratio<11.5% at 3 days and C-reactive protein levels>26.5mg/dl at 7 days after spinal surgery are reliable markers of SSI.

scholarly journals Predictive Factors of Acute Complicated Appendicitis: A Retrospective Study

2021 ◽  
Author(s):  
Sawako Hiroi ◽  
Michinori Hamaoka ◽  
Masashi Miguchi ◽  
Toshihiro Misumi ◽  
Yuji Yamamoto ◽  
...  
Keyword(s):  
Predictive Factors ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Complicated Appendicitis ◽  
Fluid Retention ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Preoperative Prediction ◽  
Uncomplicated Appendicitis ◽  
Operating Characteristic Curve

Abstract Background: Complicated appendicitis is an indication for emergency surgery. Therefore, the predictive factors for appendicitis based on the patient background needs identification. Previously, factors predicting non-complicated and complicated appendicitis were reported. However, most of those reports were deemed unsuitable as a standard for emergency use, since those comprised too many items as predictors. We previously reported three items that preoperatively predicted complicated appendicitis (body temperature, C-reactive protein, and fluid retention around the appendix). In this study, we re-evaluated different cases to confirm the usefulness of these three items can for accurately predicting complicated appendicitis preoperatively. In addition, we compared the effectiveness of these predictor items with those reported by other researchers.Methods: We retrospectively evaluated 417 adult patients who underwent surgery for acute appendicitis between January 2013 and December 2019, and compared our predictor items with those used in previous reports on the preoperative prediction of complicated appendicitis (criteria A consisting of eight predictor items and criteria B consisting of seven predictor items). Results: The area under the receiver operating characteristic curve (AUC) for the sensitivity to diagnose complicated appendicitis according to our criteria, criteria A, and criteria B were 0.823, 0.839, and 0.856, respectively. The AUC of our criteria and criteria A were similar (P = 0.356); those of criteria A and B were also similar (P = 0.352). However, the AUC of criteria B was statistically higher than that of our criteria (P < 0.05).Conclusion: Diagnostic criteria B were statistically the best predictor items for characterizing complicated and uncomplicated appendicitis. However, like criteria A and B, the AUC of our criteria exceeded 0.8, and only involved three predictor items; therefore, they can be considered useful predictors.

scholarly journals Relationship between serum angiopoietin-like 4 levels and recurrence of atrial fibrillation

2021 ◽  
Vol 49 (2) ◽  
pp. 030006052098839
Author(s):  
Zhongping Ning ◽  
Xinming Li ◽  
Xi Zhu ◽  
Jun Luo ◽  
Yingbiao Wu
Keyword(s):  
Atrial Fibrillation ◽  
Catheter Ablation ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
High Sensitivity ◽  
Peroxisome Proliferator ◽  
C Reactive Protein ◽  
Peroxisome Proliferator Activated Receptor ◽  
Reactive Protein ◽  
New Onset

Objective To investigate the association between serum angiopoietin-like 4 (ANGPTL4) levels and recurrence of atrial fibrillation (AF) after catheter ablation. Methods This retrospective study recruited patients with AF undergoing catheter ablation and they were divided into two groups (new-onset AF group and recurrent AF group). Demographic, clinical, and laboratory parameters were collected. Results A total of 192 patients with AF were included, including 69 patients with recurrence of AF. Serum ANGPTL4 levels were lower in patients with recurrent AF than in those with new-onset AF. Serum ANGPTL4 levels were positively correlated with superoxide dismutase and peroxisome proliferator-activated receptor γ, and negatively correlated with the CHA2DS2-VASC score, left atrial diameter, and levels of brain natriuretic peptide, malondialdehyde, high-sensitivity C-reactive protein, and interleukin-6. The receiver operating characteristic curve showed that the best cut-off for recurrent AF was serum ANGPTL4 levels  < 19.735 ng/mL, with a sensitivity and specificity of 63.9% and 74.5%, respectively. Serum ANGPTL4 levels were significantly associated with recurrence and new onset of AF (odds ratio, 2.241; 95% confidence interval, 1.081–4.648). Conclusions Serum ANGPTL4 levels are lower in patients with recurrent AF than in those with new-onset AF, and are associated with cardiac hypertrophy, oxidative stress, and inflammation.

scholarly journals Prediction of anemia at delivery

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Enav Yefet ◽  
Avishag Yossef ◽  
Zohar Nachum
Keyword(s):  
Risk Factors ◽  
Operating Characteristic ◽  
Complete Blood Count ◽  
Characteristic Curve ◽  
Secondary Analysis ◽  
Area Under The Curve ◽  
Iron Supplement ◽  
Independent Risk Factors ◽  
Operating Characteristic Curve ◽  
Study Database

AbstractWe aimed to assess risk factors for anemia at delivery by conducting a secondary analysis of a prospective cohort study database including 1527 women who delivered vaginally ≥ 36 gestational weeks. Anemia (Hemoglobin (Hb) < 10.5 g/dL) was assessed at delivery. A complete blood count results during pregnancy as well as maternal and obstetrical characteristics were collected. The primary endpoint was to determine the Hb cutoff between 24 and 30 gestational weeks that is predictive of anemia at delivery by using the area under the curve (AUC) of the receiver operating characteristic curve. Independent risk factors for anemia at delivery were assessed using stepwise multivariable logistic regression. Hb and infrequent iron supplement treatment were independent risk factors for anemia at delivery (OR 0.3 95%CI [0.2–0.4] and OR 2.4 95%CI [1.2–4.8], respectively; C statistics 83%). Hb 10.6 g/dL was an accurate cutoff to predict anemia at delivery (AUC 80% 95%CI 75–84%; sensitivity 75% and specificity 74%). Iron supplement was beneficial to prevent anemia regardless of Hb value. Altogether, Hb should be routinely tested between 24 and 30 gestational weeks to screen for anemia. A flow chart for anemia screening and treatment during pregnancy is proposed in the manuscript.Trial registration: ClinicalTrials.gov Identifier: NCT02434653.

scholarly journals Traditional Cardiovascular Risk Factors and Individual Prediction of Cardiovascular Events in Childhood Cancer Survivors

2019 ◽  
Vol 112 (3) ◽  
pp. 256-265 ◽  
Author(s):  
Yan Chen ◽  
Eric J Chow ◽  
Kevin C Oeffinger ◽  
William L Border ◽  
Wendy M Leisenring ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Cardiovascular Risk ◽  
Childhood Cancer ◽  
Cardiovascular Risk Factors ◽  
Operating Characteristic ◽  
Prediction Models ◽  
Characteristic Curve ◽  
Childhood Cancer Survivors ◽  
Operating Characteristic Curve

Abstract Background Childhood cancer survivors have an increased risk of heart failure, ischemic heart disease, and stroke. They may benefit from prediction models that account for cardiotoxic cancer treatment exposures combined with information on traditional cardiovascular risk factors such as hypertension, dyslipidemia, and diabetes. Methods Childhood Cancer Survivor Study participants (n = 22 643) were followed through age 50 years for incident heart failure, ischemic heart disease, and stroke. Siblings (n = 5056) served as a comparator. Participants were assessed longitudinally for hypertension, dyslipidemia, and diabetes based on self-reported prescription medication use. Half the cohort was used for discovery; the remainder for replication. Models for each outcome were created for survivors ages 20, 25, 30, and 35 years at the time of prediction (n = 12 models). Results For discovery, risk scores based on demographic, cancer treatment, hypertension, dyslipidemia, and diabetes information achieved areas under the receiver operating characteristic curve and concordance statistics 0.70 or greater in 9 and 10 of the 12 models, respectively. For replication, achieved areas under the receiver operating characteristic curve and concordance statistics 0.70 or greater were observed in 7 and 9 of the models, respectively. Across outcomes, the most influential exposures were anthracycline chemotherapy, radiotherapy, diabetes, and hypertension. Survivors were then assigned to statistically distinct risk groups corresponding to cumulative incidences at age 50 years of each target outcome of less than 3% (moderate-risk) or approximately 10% or greater (high-risk). Cumulative incidence of all outcomes was 1% or less among siblings. Conclusions Traditional cardiovascular risk factors remain important for predicting risk of cardiovascular disease among adult-age survivors of childhood cancer. These prediction models provide a framework on which to base future surveillance strategies and interventions.

scholarly journals Cut-off Values of the Respiratory Muscle Power and Peak Cough Flow in Post-Stroke Dysphagia

Medicina ◽  
2020 ◽  
Vol 56 (12) ◽  
pp. 635
Author(s):  
Yeon Jae Han ◽  
Jungjae Lee ◽  
Dong Gyun Sohn ◽  
Geun-Young Park ◽  
Youngkook Kim ◽  
...  
Keyword(s):  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Univariate Analysis ◽  
Multivariable Analysis ◽  
Post Stroke ◽  
Increased Risk ◽  
Operating Characteristic Curve ◽  
Receiver Operating

Background and objectives: This study aimed to determine the cut-off values of the following three respiratory pressure meters; the voluntary peak cough flow (PCF), maximal expiratory pressure (MEP) and maximal inspiratory pressure (MIP); associated with post-stroke dysphagia and assess which of these parameters show good diagnostic properties associated with post-stroke dysphagia. Materials and Methods: Retrospective analysis of a prospectively maintained database. Records of patients with first-ever diagnosed dysphagia attributable to cerebrovascular disease, who had performed spirometry measurements for the PCF, MIP and MEP. Results: From a total of 237 stroke patients, 163 patients were diagnosed with dysphagia. Those with dysphagia had significantly lower PCF values than those without dysphagia (116.3 ± 75.3 vs. 219.4 ± 91.8 L/min, p < 0.001). In addition, the former group also had lower MIP (30.5 ± 24.7 vs. 41.6 ± 25.7 cmH2O, p = 0.0002) and MEP (41.0 ± 27.9 vs. 62.8 ± 32.3 cmH2O, p < 0.001) values than the latter group. The receiver operating characteristic curve analysis showed that the PCF cut-off value of 151 L/min (area under the receiver operating characteristic curve [AUC] 0.81; sensitivity 72%; specificity 78.8%) was associated with post-stroke dysphagia. The optimum MEP and MIP cut-off were 38 cmH2O (AUC 0.70, sensitivity 58%; specificity 77.7%) and 20 cmH2O (AUC 0.65, sensitivity 49%; specificity 84%). PCF showed the highest AUC results. Results from the univariate analysis indicated that PCF values of ≤151 L/min increased risk of dysphagia by 9.51-fold (4.96–18.23). Multivariable analysis showed that after controlling of other clinical factor, the PCFs at this cut-off value still showed increased risk of by 4.19 (2.02–83.69) but this was not observed with the MIPs or MEPs. Conclusions: Our study has provided cut-off values that are associated with increased risk of dysphagia. Among the three parameters, PCF showed increased association with post-stroke dysphagia.

scholarly journals A Comparison of Eosinopenia and C-Reactive Protein as a Marker of Bloodstream Infections in Critically Ill Patients: A Case Control Study

2009 ◽  
Vol 37 (3) ◽  
pp. 450-456 ◽  
Author(s):  
K. M. Ho ◽  
S. C. Towler
Keyword(s):  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Bloodstream Infections ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Receiver Operating

Diagnosis of bloodstream infections in critically ill patients is difficult. This case control study involved a total of 22 patients with confirmed bloodstream infections and 44 concurrent controls from an intensive care unit in Western Australia. We aimed to assess whether eosinopenia and C-reactive protein are useful markers of bloodstream infections in critically ill patients. The patients with bloodstream infections had a more severe disease and a longer length of intensive care unit (10.7 vs 4.0 days, P=0.001) and hospital stay (40.9 vs 17.9 days, P=0.015) than the controls. Univariate analyses showed that C-reactive protein (area under the receiver operating characteristic curve 0.847, 95% confidence internal (CI) 0.721 to 0.973), eosinophil counts (area under the receiver operating characteristic curve 0.849, 95% CI 0.738 to 0.961) and fibrinogen concentrations (area under the receiver operating characteristic curve 0.730, 95% CI 0.578 to 0.882) were significant markers of bloodstream infections. C-reactive protein concentration was, however, the only significant predictor in the multivariate analysis (odds ratio 1.21 per 10 mgH increment, 95% CI 1.01 to 1.39, P=0.007). C-reactive protein concentration appears to be a better marker of bloodstream infections than eosinopenia in critically ill patients. A large prospective cohort study is needed to assess whether eosinopenia is useful in addition to C-reactive protein concentrations as a marker of bloodstream infections.

scholarly journals Predictors of Acute Kidney Injury After Hip Fracture in Older Adults

2020 ◽  
Vol 11 ◽  
pp. 215145932092008 ◽  
Author(s):  
Julie Braüner Christensen ◽  
Martin Aasbrenn ◽  
Luana Sandoval Castillo ◽  
Anette Ekmann ◽  
Thomas Giver Jensen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Kidney Injury ◽  
Hip Fracture ◽  
Blood Transfusion ◽  
Multivariable Analysis ◽  
Kidney Injury ◽  
C Reactive Protein ◽  
Hip Fracture Surgery ◽  
Reactive Protein ◽  
Fracture Surgery

Introduction: This study aimed to investigate the prevalence of acute kidney injury (AKI) following hip fracture surgery in geriatric patients and to identify predictors for development of AKI with a focus on possible preventable risk factors. Methods: In this retrospective cohort study, we reviewed electronic medical records of all patients above 65 years of age who underwent hip fracture surgery at Copenhagen University Hospital, Bispebjerg, Denmark, in 2018. Acute kidney injury was assessed according to the Kidney Disease Improving Global Outcomes guidelines. Multivariate logistic regression analyses were used to identify independent risk factors for AKI. Results: Postoperative AKI developed in 28.4% of the included patients (85/299). Acute kidney injury was associated with increased length of admission (11.3 vs 8.7 days, P < .001) and 30-day mortality (18/85 vs 16/214, P = .001). In multivariable analysis, higher age (odds ratio [OR]: 1.05, 95% confidence interval [CI]: 1.01-1.08, P = .004), heart disease (OR: 1.78, 95% CI: 1.01-3.11, P = .045), and postoperative blood transfusion (OR: 1.84, 95% CI: 1.01-3.36, P = .048) were associated with AKI. Moreover, a higher postoperative C-reactive protein (199.0 ± 99.9 in patients with AKI, 161.3 ± 75.2 in patients without AKI) and lower postoperative diastolic blood pressure were observed in patients developing AKI. Discussion and Conclusion: Acute kidney injury was common following hip fracture surgery and associated with longer admissions and increased mortality. Patients developing AKI were older and showed several postoperative similarities, including higher C-reactive protein, lower postoperative diastolic pressure, and the need for blood transfusion.

scholarly journals Semiquantitative Cough Strength Score for Predicting Reintubation After Planned Extubation

2015 ◽  
Vol 24 (6) ◽  
pp. e86-e90 ◽  
Author(s):  
Jun Duan ◽  
Lintong Zhou ◽  
Meiling Xiao ◽  
Jinhua Liu ◽  
Xiangmei Yang
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Spontaneous Breathing ◽  
Operating Characteristic ◽  
Peak Flow ◽  
Characteristic Curve ◽  
Spontaneous Breathing Trial ◽  
Extubation Outcome ◽  
Cough Strength ◽  
Operating Characteristic Curve

Background Semiquantitative cough strength score (SCSS, graded 0–5) and cough peak flow (CPF) have been used to predict extubation outcome in patients in whom extubation is planned; however, the correlation of the 2 assessments is unclear. Methods In the intensive care unit of a university-affiliated hospital, 186 patients who were ready for extubation after a successful spontaneous breathing trial were enrolled in the study. Both SCSS and CPF were assessed before extubation. Reintubation was recorded 72 hours after extubation. Results Reintubation rate was 15.1% within 72 hours after planned extubation. Patients in whom extubation was successful had higher SCSSs than did reintubated patients (mean [SD], 3.2 [1.6] vs 2.2 [1.6], P = .002) and CPF (74.3 [40.0] vs 51.7 [29.4] L/min, P = .005). The SCSS showed a positive correlation with CPF (r = 0.69, P &lt; .001). Mean CPFs were 38.36 L/min, 39.51 L/min, 44.67 L/min, 57.54 L/min, 78.96 L/min, and 113.69 L/min in patients with SCSSs of 0, 1, 2, 3, 4, and 5, respectively. The discriminatory power for reintubation, evidenced by area under the receiver operating characteristic curve, was similar: 0.677 for SCSS and 0.678 for CPF (P = .97). As SCSS increased (from 0 to 1 to 2 to 3 to 4 to 5), the reintubation rate decreased (from 29.4% to 25.0% to 19.4% to 16.1% to 13.2% to 4.1%). Conclusions SCSS was convenient to measure at the bedside. It was positively correlated with CPF and had the same accuracy for predicting reintubation after planned extubation.

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