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 Risk Factors of Early Postoperative Bowel Obstruction for Patients Undergoing Selective Colorectal Surgeries

2021 ◽  
Author(s):  
Shuguang Yang ◽  
Zhidong Gao ◽  
Huiying Zhao ◽  
Youzhong An ◽  
Jianghui Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Bowel Obstruction ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Peking University ◽  
Independent Risk Factors ◽  
Operating Characteristic Curve ◽  
The Stability ◽  
Postoperative Feeding

Abstract Objective: Postoperative bowel obstruction was one of the most severe complications in patients received colorectal surgeries. The aim of this study was to explore risk factors of early postoperative obstruction and to construct a nomogram to predict the possibility of occurrence. Methods: The records of 1437 patients who underwent selective colorectal surgery in Peking University People’s Hospital from 2015 to 2020 was retrospectively collect. Risk factors of early postoperative bowel obstruction were identified by logistic regression analysis and a nomogram was then constructed. Bootstrap was applied to verify the stability of the model. Results: COPD, hypothyroidism, probiotic indications, duration of antibiotics, and time to postoperative feeding were identified as independent risk factors and were put into a nomogram for predicting early postoperative bowel obstruction. The nomogram showed a robust discrimination, with area under the receiver operating characteristic curve was 0.894 and was well calibrated. Conclusion: A nomogram including independent risk factors of COPD, hypothyroidism, probiotic indications, duration of antibiotics, and time to postoperative feeding were established to predict the risk of early postoperative bowel obstruction.

scholarly journals Risk factors of early postoperative bowel obstruction for patients undergoing selective colorectal surgeries

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shuguang Yang ◽  
Huiying Zhao ◽  
Jianhui Yang ◽  
Youzhong An ◽  
Hua Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Bowel Obstruction ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Elective Colorectal Surgery ◽  
Peking University ◽  
Independent Risk Factors ◽  
Operating Characteristic Curve ◽  
The Stability ◽  
Postoperative Feeding

Abstract Objective Postoperative bowel obstruction was one of the most severe complications in patients who received colorectal surgeries. This study aimed to explore risk factors of early postoperative obstruction and to construct a nomogram to predict the possibility of occurrence. Methods The records of 1437 patients who underwent elective colorectal surgery in Peking University People’s Hospital from 2015 to 2020 were retrospectively collected. Risk factors of early postoperative bowel obstruction were identified by logistic regression analysis and a nomogram was then constructed. Bootstrap was applied to verify the stability of the model. Results COPD, hypothyroidism, probiotic indications, duration of antibiotics, and time to postoperative feeding were identified as independent risk factors and were put into a nomogram for predicting early postoperative bowel obstruction. The nomogram showed robust discrimination, with the area under the receiver operating characteristic curve was 0.894 and was well-calibrated. Conclusion A nomogram including independent risk factors of COPD, hypothyroidism, probiotic indications, duration of antibiotics, and time to postoperative feeding were established to predict the risk of early postoperative bowel obstruction.

scholarly journals CANPT Score: A Tool to Predict Severe COVID-19 on Admission

2021 ◽  
Vol 8 ◽  
Author(s):  
Yuanyuan Chen ◽  
Xiaolin Zhou ◽  
Huadong Yan ◽  
Huihong Huang ◽  
Shengjun Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Operating Characteristic ◽  
Total Bilirubin ◽  
Predictive Accuracy ◽  
Characteristic Curve ◽  
Severe Disease ◽  
Multivariate Logistic Regression ◽  
Independent Risk Factors ◽  
Operating Characteristic Curve ◽  
Cr Creatine

Background and Aims: Patients with critical coronavirus disease 2019 (COVID-19) have a mortality rate higher than 50%. The purpose of this study was to establish a model for the prediction of the risk of severe disease and/or death in patients with COVID-19 on admission.Materials and Methods: Patients diagnosed with COVID-19 in four hospitals in China from January 22, 2020 to April 15, 2020 were retrospectively enrolled. The demographic, laboratory, and clinical data of the patients with COVID-19 were collected. The independent risk factors related to the severity of and death due to COVID-19 were identified with a multivariate logistic regression; a nomogram and prediction model were established. The area under the receiver operating characteristic curve (AUROC) and predictive accuracy were used to evaluate the model's effectiveness.Results: In total, 582 patients with COVID-19, including 116 patients with severe disease, were enrolled. Their comorbidities, body temperature, neutrophil-to-lymphocyte ratio (NLR), platelet (PLT) count, and levels of total bilirubin (Tbil), creatinine (Cr), creatine kinase (CK), and albumin (Alb) were independent risk factors for severe disease. A nomogram was generated based on these eight variables with a predictive accuracy of 85.9% and an AUROC of 0.858 (95% CI, 0.823–0.893). Based on the nomogram, the CANPT score was established with cut-off values of 12 and 16. The percentages of patients with severe disease in the groups with CANPT scores &lt;12, ≥12, and &lt;16, and ≥16 were 4.15, 27.43, and 69.64%, respectively. Seventeen patients died. NLR, Cr, CK, and Alb were independent risk factors for mortality, and the CAN score was established to predict mortality. With a cut-off value of 15, the predictive accuracy was 97.4%, and the AUROC was 0.903 (95% CI 0.832, 0.974).Conclusions: The CANPT and CAN scores can predict the risk of severe disease and mortality in COVID-19 patients on admission.

scholarly journals The Optimal Cutoff Value of D-dimer Levels to Predict in Hospital Mortality in Severe Cases of Coronavirus Disease 2019

2021 ◽  
Vol 9 (B) ◽  
pp. 1561-1564
Author(s):  
Ngakan Ketut Wira Suastika ◽  
Ketut Suega
Keyword(s):  
Hospital Mortality ◽  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Optimal Cutoff ◽  
Cutoff Value ◽  
Operating Characteristic Curve ◽  
D Dimer

Introduction: Coronavirus disease 2019 (Covid-19) can cause coagulation parameters abnormalities such as an increase of D-dimer levels especially in severe cases. The purpose of this study is to determine the differences of D-dimer levels in severe cases of Covid-19 who survived and non-survived and determine the optimal cut-off value of D-dimer levels to predict in-hospital mortality. Method: Data were obtained from confirmed Covid-19 patients who were treated from June to September 2020. The Mann-Whitney U test was used to determine differences of D-dimer levels in surviving and non-surviving patients. The optimal cut-off value and area under the curve (AUC) of the D-dimer level in predicting mortality were obtained by the receiver operating characteristic curve (ROC) method. Results: A total of 80 patients were recruited in this study. Levels of D-dimer were significantly higher in non-surviving patients (median 3.346 mg/ml; minimum – maximum: 0.939 – 50.000 mg/ml) compared to surviving patients (median 1.201 mg/ml; minimum – maximum: 0.302 – 29.425 mg/ml), p = 0.012. D-dimer levels higher than 1.500 mg/ml are the optimal cut-off value for predicting mortality in severe cases of Covid-19 with a sensitivity of 80.0%; specificity of 64.3%; and area under the curve of 0.754 (95% CI 0.586 - 0.921; p = 0.010). Conclusions: D-dimer levels can be used as a predictor of mortality in severe cases of Covid-19.

scholarly journals Comprehensive and Integrative Analysis Reveals the Diagnostic, Clinicopathological and Prognostic Significance of Polo-Like Kinase 1 in Hepatocellular Carcinoma

2018 ◽  
Vol 47 (3) ◽  
pp. 925-947 ◽  
Author(s):  
Peng Lin ◽  
Dong-yue Wen ◽  
Yi-wu Dang ◽  
Yun He ◽  
Hong Yang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Cycle ◽  
Liver Cancer ◽  
Receiver Operating Characteristic Curve ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Summary Receiver Operating Characteristic ◽  
Operating Characteristic Curve ◽  
Standardized Mean Difference

Background/Aims: Liver cancer has the second highest cancer-related death rate globally and has relatively few targeted therapeutics. Polo-like kinase 1 (PLK1) is a fascinating trigger of the cell cycle; however, the still-rudimentary understanding of PLK1 at present is a significant barrier to its clinical applications. Here, we comprehensively clarified the clinicopathological value and potential functions of PLK1 in hepatocellular carcinoma (HCC). Methods: HCC-related microarrays, RNA-sequencing datasets and published studies were deeply mined and integrated from The Cancer Genome Atlas, Gene Expression Omnibus, ArrayExpress, Oncomine, literature databases, and immunohistochemistry experiments. Meanwhile, the associations between PLK1 expression and its clinicopathological implications and prognostic value in HCC patients were assessed. The standardized mean difference, summary receiver operating characteristic curve and the corresponding area under the curve, hazard ratios, odds ratios (ORs), and their 95% confidence intervals (CIs) were examined by STATA 12.0. Additionally, several bioinformatics methods were used to identify the potential function of PLK1 in HCC. Results: Comprehensive analyses revealed that PLK1 was significantly increased in HCC (standardized mean difference = 1.34, 95% CI: 1.03–1.65, P < 0.001). The results of diagnostic tests specified that in the summary receiver operating characteristic curve, the area under the curve was 0.88 (95% CI: 0.85–0.90). Furthermore, an elevated PLK1 level significantly predicted unfavorable overall survival (hazard ratio = 1.78, 95% CI: 1.10–2.88, P = 0.019) and was correlated with female gender (OR = 0.73, 95% CI: 0.56–0.95, P = 0.017), tumor thrombus (OR = 3.97, 95% CI: 1.46–10.78, P < 0.001), metastasis (OR = 3.46, 95% CI: 1.33–9.01, P = 0.011), pathologic stage (OR = 1.56, 95% CI: 1.17–2.07, P = 0.002), Barcelona Clinic Liver Cancer stage (OR = 5.76, 95% CI: 2.17–15.28, P < 0.001) and histologic grade (OR = 2.33, 95% CI: 1.12–487, P = 0.024). Through bioinformatics methods, we determined that enhancing the proliferative effect of PLK1 in HCC was associated with a series of hub genes and the activation of the cell cycle pathway. Conclusions: These findings substantiated that PLK1 may be an independent prognostic biomarker in HCC and may facilitate the development of targeted precision oncology.

scholarly journals Prognostic significance of urine paraquat concentrations of patients with acute paraquat poisoning on admission at the emergency department

2018 ◽  
Vol 25 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Xiaowei Liu ◽  
Tao Ma ◽  
Zhi Liu
Keyword(s):  
Risk Factors ◽  
Emergency Department ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Prognostic Significance ◽  
Urine Concentration ◽  
Paraquat Poisoning ◽  
Independent Risk Factors ◽  
Receiver Operating

Objective: To assess the prognostic significance of urine paraquat concentrations of patients with acute paraquat poisoning on admission at the emergency department. Methods: Patients with acute paraquat poisoning admitted to the emergency department were recruited. Survivors and non-survivors were compared with regard to urinary paraquat concentration. The urinary level predictive of mortality was assessed by receiver operating characteristic curve. Risk factors of mortality were evaluated by regression analysis. Results: The overall mortality rate was 70.9% over the 28-day follow-up period. There was a significant difference in the urine paraquat concentrations recorded on admission between non-surviving and surviving patients ( p = 0.022). Receiver operating characteristic curve analysis revealed that the area under the curve when applied to receiver operating characteristic of the admission urine paraquat concentrations for predicting mortality was 0.854 with a cut-off value of 34.5 µg/mL. The dose of paraquat ingested, arterial lactate, and urine concentration were independent risk factors predicting 28-day mortality. The time interval between ingestion and hemoperfusion, arterial lactate, and urine concentration of paraquat were independent risk factors predicting acute kidney injury, while the partial pressure of carbon dioxide (PaCO2) and urine concentration of paraquat were independent risk factors predicting acute lung injury. Conclusion: The urine concentrations of paraquat on admission at emergency department demonstrated predictive ability for the prognosis of patients with acute paraquat poisoning.

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 The Value of Serum Midkine Level in Diagnosis of Hepatocellular Carcinoma

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Karim Y. A. Shaheen ◽  
Abeer I. Abdel-Mageed ◽  
Eslam Safwat ◽  
Ashraf M. AlBreedy
Keyword(s):  
Healthy Subjects ◽  
Operating Characteristic ◽  
Diagnostic Marker ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Tumor Diameter ◽  
Control Groups ◽  
Tumor Number ◽  
Healthy Control ◽  
Operating Characteristic Curve

Background and Aim. Identification of sensitive biomarkers to improve early diagnosis of HCC is needed. We aimed to evaluate serum midkine (MDK) as a biomarker for HCC diagnosis.Patients and Methods. 40 HCCs, 30 liver cirrhosis patients, and 30 healthy subjects were enrolled. Serum MDK using ELISA was measured in all included subjects.Results. Serum MDK was significantly elevated in HCC group compared to cirrhotic and healthy control groups (0.625 versus 0.15 and 0.125 ng/mL), respectively. No significant association was found between MDK and either BCLC stage, tumor diameter, tumor number, or AFP level. Receiver operating characteristic curve showed that best cutoff for MDK and AFP was 0.387 and 88.5 ng/mL, respectively. Area under the curve of MDK was significantly larger than that of AFP (0.941 versus 0.671). The sensitivity of MDK at 0.387 ng/mL for HCC diagnosis was significantly higher than that of AFP at cutoffs 20, 88.5, and 200 ng/mL (92.5 versus 62.5, 40, and 25%), respectively. Sensitivity of MDK reached 93.3% in patients with AFP <20 ng/mL. Moreover, MDK at 0.387 ng/mL had significant better sensitivity than AFP at 20 ng/mL in distinguishing HCC from BCLC 0/A (90 versus 40%).Conclusion. Serum MDK might be a potential diagnostic marker for HCC particularity in its early stages.

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 Risk Factors for Nonischemic St-segment Elevation in Patients With Electrocardiographic Left Ventricular Hypertrophy

2021 ◽  
Author(s):  
Haisen Guo ◽  
Weidai Zhang ◽  
Jiawei Zhang ◽  
Chumin Ni ◽  
Zhixiong Cai ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
St Segment Elevation ◽  
St Segment ◽  
Operating Characteristic Curve ◽  
Receiver Operating

Abstract Background ST-segment elevation (STE) is not a specific change for ST-segment elevation myocardial infarction (STEMI). This may lead to a mistaken diagnosis of STEMI and false-positive cardiac catheterization laboratory activation. We aimed to investigate risk factors for STE secondary to electrocardiographic LVH in order to provide more information for differential diagnosis.Methods A total of 1,590 inpatients with electrocardiographic LVH without confounding factors (such as myocardial infarction) were enrolled in this study. Data on potential risk factors and patient characteristics were collected. Logistic regression analysis and receiver operating characteristic curve (ROC) were used to identify the risk of STE in patients with LVH.Results After reviewing the ECGs, 1590 cases of electrocardiographic LVH were divided into an ST-segment elevation group (STE group, 81 cases) and non-ST segment elevation group (1509 cases). Eighty-seven cases were randomly selected from the non-ST segment elevation group to form a new non-ST segment elevation group (non-STE group, 87 cases) for further analysis. The mean age of the 168 participants (119 men, 70.83%) was 62.33 ± 16.27. Multivariate analysis showed that stroke, infection, and the value of SV1+RV5 were significantly associated with STE secondary to LVH. The area under the receiver operating characteristic curve showed that the optimal value of SV1+RV5 cut-off for predicting STE was 4.805 (sensitivity: 40.74%; specificity: 80.46%; AUC: 0.634; 95% CI: 0.550–0.719; P < 0.05).Conclusions A value of SV1+RV5 larger than 4.8 mV, stroke, and infection are independent risk factors for STE in patients with electrocardiographic LVH.

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