scholarly journals Development of a Sex-Specific Risk Scoring System for Predicting Cognitive Normal to Mild Cognitive Impairment (SRSS-CNMCI)

2021 ◽  
Author(s):  
Wen Luo ◽  
Hao Wen ◽  
Shuqi Ge ◽  
Chunzhi Tang ◽  
Xiufeng Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
High Risk ◽  
Scoring System ◽  
External Validation ◽  
Scoring Systems ◽  
Cutoff Point ◽  
Risk Scoring ◽  
Risk Scoring System

Abstract Objective: We aim to develop a sex-specific risk scoring system for predicting cognitive normal (CN) to mild cognitive impairment (MCI), abbreviated SRSS-CNMCI, to provide a reliable tool for the prevention of MCI.Methods: Participants aged 61-90 years old with a baseline diagnosis of CN and an endpoint diagnosis of MCI were screened from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database with at least one follow-up. Multivariable Cox proportional hazards models were used to identify risk factors associated with conversion from CN to MCI and to build risk scoring systems for male and female groups. Receiver operating characteristic (ROC) curve analysis was applied to determine the risk probability cutoff point corresponding to the optimal prediction effect. We ran an external validation of the discrimination and calibration based on the Harvard Aging Brain Study (HABS) database.Results: A total of 471 participants, including 240 women (51%) and 231 men (49%), aged 61 to 90 years, were included in the study cohort for subsequent primary analysis. The final multivariable models and the risk scoring systems for females and males included age, APOE ε4, Mini-Mental State Examination (MMSE) and Clinical Dementia Rating (CDR). The scoring systems for females and males revealed C statistics of 0.902 (95% CI 0.840-0.963) and 0.911 (95% CI 0.863-0.959), respectively, as measures of discrimination. The cutoff point of high and low risk was 33% in females, and more than 33% was considered high risk, while more than 9% was considered high risk for males. The external validation effect of the scoring systems was good: C statistic 0.950 for the females and C statistic 0.965 for the males. Conclusions: Our parsimonious model accurately predicts conversion from CN to MCI with four risk factors and can be used as a predictive tool for the prevention of MCI.

scholarly journals The Efficacy of Risk Score System Establishment and Methylprednisolone Stratification Treatment for Pre-Engraftment Syndrome after Unrelated Cord Blood Transplantation: A Retrospective (development) and a Prospective (validation) Study

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4501-4501
Author(s):  
Xiaoyu Zhu ◽  
Jiang Zhu ◽  
Baolin Tang ◽  
Kaidi Song ◽  
Linlin Jin ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Risk Score ◽  
Cumulative Incidence ◽  
Scoring System ◽  
Cord Blood Transplantation ◽  
High Risk Factors ◽  
Risk Scoring ◽  
Risk Scoring System ◽  
Different Doses

Introduction Pre-engraftment syndrome (PES) is a common immune reaction prior to neutrophil engraftment after unrelated cord blood transplantation (UCBT), with a unique clinical manifestation of non-infectious fever and skin rash. The reported incidence of PES ranges from 20% to 78%. Although many researchers believe that PES is associated with a high incidence of acute graft-versus-host disease (GVHD) but not with transplant-related mortality (TRM) , relapse, or overall survival (OS), they did not stratify the risk factors of PES, and how to carry out different doses of methylprednisolone (MP) stratified intervention therapy still remains unknown. Method s First, 136 hematological malignancy patients treated with UCBT from April 2000 to February 2012 in our transplantation center were retrospectively analysis. Among them, 92 patients occurred PES. High-risk factors for 180-day TRM in PES patients were established by univariate and multivariate analysis. Then, from January 2013 to August 2016, 221 PES patients were scored according to the risk scoring system and stratified treated with different doses of MP. Finally, in order to validate the efficacy of MP stratification treatment, we conducted a prospective, open label and non-randomized clinical trial including 240 PES patients who underwent UCBT from September 2016 to December 2018. This trial is registered at www.chictr.org.cn as ChiCTR-ONC-16009013. Results The cumulative incidence of neutrophil and platelet engraftment was significantly higher in PES group than non-PES group (97.8% vs 70.5%, P<0.001; 75.0% vs 54.5%, P=0.05). In 92 PES patients, multivariate analysis showed that failed MP treatment, multiple clinical symptoms and early onset of PES were independent high risk factors affecting180-day TRM. One high risk factor was scored as 1. The 92 PES patients were divided into PES-0, PES-1,PES-2 and PES-3, and the higher the score, the higher the TRM (17.7% vs 21.9% vs 62.5% vs 100%,respectively; P<0.001), and the lower the OS (68.3% vs 56.2% vs 25.0% vs 0%, respectively; P<0.001). Then, from January 2013 to August 2016, 221 PES patients were scored as PES-0, PES-1 and PES-2 according to the following two high risk factors (multiple clinical symptoms and early onset of PES) and stratified treated with different doses of MP (0.5mg/kg/d for PES-0, 1mg/kg/d for PES-1 and 2mg/kg/d for PES-2). Compared to the previous PES patients with the same risk score, the 180-day TRM of PES-1 and PES-2 patients was significantly reduced and the OS, disease free survival (DFS), and GVHD-free and Relapse-free survival (GRFS) were significantly increased after stratified treatment. The results in the prospective trial were similar to the retrospective study. In addition, although stratified therapy could significantly improve the prognosis of PES-2 patients cohort, the cumulative incidence of acute GVHD and GRFS are still the worst compared with other risk score patients. Therefore, how to improve the outcomes of PES-2 patients remains to be further studied. Conclusion s PES after UCBT is benefit for engraftment, but should be graded according the risk scoring system. Different doses of MP stratified intervention therapy can significantly improve the prognosis of severe PES patients. The risk scoring system of PES after UCBT and MP stratification treatment are worthy of clinical application. But the cumulative incidence of acute GVHD and GRFS in severe PES patients still need to be ameliorated in the further study. Disclosures No relevant conflicts of interest to declare.

scholarly journals Development and Validation of a Risk Scoring System for Cephamycin-Associated Hemorrhagic Events

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Tong-Ling Chien ◽  
Fei-Yuan Hsiao ◽  
Li-Ju Chen ◽  
Yu-Wen Wen ◽  
Shu-Wen Lin
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Scoring System ◽  
Goodness Of Fit ◽  
Bleeding Tendency ◽  
Multivariate Logistic Regression ◽  
Goodness Of Fit Test ◽  
Hemorrhagic Events ◽  
Risk Scoring ◽  
Risk Scoring System

Abstract Cephamycin-associated hemorrhages have been reported since their launch. This research aimed to determine risk factors for cephamycin-associated hemorrhagic events and produce a risk scoring system using National Taiwan University Hospital (NTUH) database. Patients who were older than 20 years old and consecutively used study antibiotics for more than 48 hours (epidode) at NTUH between January 1st, 2009 and December 31st, 2015 were included. The population was divided into two cohorts for evaluation of risk factors and validation of the scoring system. Multivariate logistic regression was used for the assessment of the adjusted association between factors and the outcome of interest. Results of the multivariate logistic regression were treated as the foundation to develop the risk scoring system. There were 46402 and 22681 episodes identified in 2009–2013 and 2014–2015 cohorts with 356 and 204 hemorrhagic events among respective cohorts. Use of cephamycins was associated with a higher risk for hemorrhagic outcomes (aOR 2.03, 95% CI 1.60–2.58). Other risk factors included chronic hepatic disease, at least 65 years old, prominent bleeding tendency, and bleeding history. A nine-score risk scoring system (AUROC = 0.8035, 95% CI 0.7794–0.8275; Hosmer-Lemeshow goodness-of-fit test p = 0.1044) was developed based on the identified risk factors, with higher scores indicating higher risk for bleeding. Use of cephamycins was associated with more hemorrhagic events compared with commonly used penicillins and cephalosporins. The established scoring system, CHABB, may help pharmacists identify high-risk patients and provide recommendations according to the predictive risk, and eventually enhance the overall quality of care.

A risk scoring system to identify travellers who qualify for pre-exposure rabies vaccination

2020 ◽  
Vol 27 (7) ◽  
Author(s):  
Mieke Croughs ◽  
Patrick Soentjens
Keyword(s):  
High Risk ◽  
Scoring System ◽  
Evidence Based ◽  
Risk Scoring ◽  
Risk Predictors ◽  
Risk Scoring System ◽  
Rabies Vaccination

We want to introduce a free online scoring system to identify high risk travellers who qualify for pre-travel rabies vaccination. The system uses evidence based risk predictors and the probable availability of HRIG at the destination.

scholarly journals Practical Risk Scoring System for Predicting Severity of COVID-19 Disease

2022 ◽  
Vol 15 ◽  
pp. 2632010X2110684
Author(s):  
Jeffrey Petersen ◽  
Darshana Jhala
Keyword(s):  
Scoring System ◽  
Clinical Laboratory ◽  
Disease Risk ◽  
Medical Center ◽  
Statistical Significance ◽  
Scoring Systems ◽  
Urgent Care ◽  
Smoking History ◽  
Risk Scoring ◽  
Risk Scoring System

Objectives: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of COVID-19 disease, has become an international pandemic with numerous casualties. It had been noted that the severity of the COVID-19 disease course depends on several clinical, laboratory, and radiological factors. This has led to risk scoring systems in various populations such as in China, but similar risk scoring systems based on the American veteran population are sparse, particularly with the vulnerable Veteran population. As a simple risk scoring system would be very useful, we propose a simple Jhala Risk Scoring System (JRSS) to assess the severity of disease risk. Methods: A retrospective review of all SARS-CoV-2 reverse transcriptase-polymerase chain reaction (RT-PCR) tests collected and performed at the regional Veterans Administration Medical Center (VAMC) serving the Philadelphia and surrounding areas from March 17th, 2020 to May 20th, 2020. Data was collected and analyzed in the same year. These tests were reviewed within the computerized medical record system for demographic, medical history, laboratory test history, and clinical course. Information from the medical records were then scored based on the criteria of the Jhala Risk Scoring System (JRSS). Results: The JRSS, based on age, ethnicity, presence of any lung disease, presence of cardiovascular disease, smoking history, and diabetes history with laboratory parameters correlated and predicted (with statistical significance) which patients would be hospitalized. Conclusion: The JRSS may play a role in informing which COVID-19 positive patients in the emergency room/urgent care for risk stratification.

scholarly journals Development of a risk scoring system for prognostication in HIV-related toxoplasma encephalitis

2020 ◽  
Author(s):  
Yao Li ◽  
Yanming Zeng ◽  
Min Liu ◽  
Yanqiu Lu ◽  
Xueyan Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Scoring System ◽  
Risk Model ◽  
Therapeutic Interventions ◽  
Scoring Model ◽  
Cell Counts ◽  
Toxoplasma Encephalitis ◽  
Specific Risk ◽  
Risk Scoring ◽  
Risk Scoring System

Abstract Objective: This study aims to evaluate specific risk factors influencing prognosis of HIV-infected patients with toxoplasma encephalitis (TE) in order to develop a prognostic risk scoring system for them. Methods: This is a six-center retrospective study of hospitalized HIV/TE patients. Data including six-week mortality after diagnosis, baseline characteristics, clinical features, laboratory tests and radiological characteristics of eligible patients were assimilated for risk model establishing.Results: In this study, the six-week mortality among 94 retrospective cases was 11.7% (11/94). Seven specific risk factors, viz. time from symptom onset to presentation, fever, dizziness, CD4+ T-cell counts, memory deficits, patchy brain lesions, and disorders of consciousness were calculated to be statistically associated with mortality. A criterion value of ‘9’ was selected as the optimal cut-off value of the established model. The AUC of the ROC curve of this scoring model was 0.976 (p<0.001). The sensitivity and specificity of the risk scoring model was 100.0% and 86.9%, respectively, which were 81.8% and 94.1% of this scoring model in the verification cohort, respectively. Conclusions: The developed scoring system was established with simple risk factors, which also allows expeditious implementation of accurate prognostication, and appropriate therapeutic interventions in HIV-infected patients with TE.

scholarly journals MicroRNA‐based risk scoring system to identify early‐stage oral squamous cell carcinoma patients at high‐risk for cancer‐specific mortality

Head & Neck ◽  
2020 ◽  
Vol 42 (8) ◽  
pp. 1699-1712 ◽  
Author(s):  
Angela J. Yoon ◽  
Shuang Wang ◽  
David I. Kutler ◽  
Richard D. Carvajal ◽  
Elizabeth Philipone ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
High Risk ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Scoring System ◽  
Early Stage ◽  
Specific Mortality ◽  
Risk Scoring ◽  
Cancer Specific Mortality ◽  
Risk Scoring System
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