scholarly journals Clinical predictive model for the 1-year remission probability of IgA vasculitis nephritis

2021 ◽  
Vol 101 ◽  
pp. 108341
Author(s):  
Manrong He ◽  
Chao Li ◽  
Yingxi Kang ◽  
Yongdi Zuo ◽  
Lijin Duo ◽  
...  
2021 ◽  
Author(s):  
Manraj Singh ◽  
Jayne Chiang ◽  
Andre Seah ◽  
Nan Liu ◽  
Ronnie Mathew ◽  
...  

Abstract Background: Lower Gastro-Intestinal Bleeding (LGIB) is a common presentation of surgical admissions, imposing a significant burden on healthcare costs and resources. There is a paucity of standardised clinical predictive tools available for the initial assessment and risk stratification of patients with LGIB. We propose a simple clinical scoring model to prognosticate patients at risk of severe LGIB and an algorithm to guide management of such patients.Methods: A retrospective cohort study was conducted, identifying consecutive patients admitted to our institution for LGIB over a 1-year period. Baseline demographics, clinical parameters at initial presentation and treatment interventions were recorded. Severe LGIB was the primary outcome measure. Multivariate logistic regression was performed to identify factors predictive of severe LGIB. A clinical management algorithm was developed to discriminate between patients requiring admission, and to guide endoscopic, angiographic and/or surgical intervention.Results: 226/649 (34.8%) patients had severe LGIB. Six variables were entered into a clinical predictive model for risk stratification of LGIB: Tachycardia (HR>100), hypotension (SBP<90mmHg), anemia (Hb<9g/dL), metabolic acidosis, use of antiplatelet/anticoagulants, and active per-rectal bleeding. The optimum cut-off score of >1 had a sensitivity of 91.9%, specificity of 39.8%, and Positive and Negative Predictive Values of 45% and 90.2% respectively for predicting severe LGIB. The Area Under Curve (AUC) was 0.77.BConclusion: Early diagnosis and management of severe LGIB remains a challenge for the acute care surgeon. The predictive model described comprises objective clinical parameters routinely obtained at initial triage to guide risk stratification, disposition and inpatient management of patients.


2018 ◽  
Vol 34 (3) ◽  
pp. 465-474 ◽  
Author(s):  
Isabel V. Poggiali ◽  
Ana Cristina Simões e Silva ◽  
Mariana A. Vasconcelos ◽  
Cristiane S. Dias ◽  
Izabella R. Gomes ◽  
...  

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e19158-e19158
Author(s):  
Carlos Rodrigo Acevedo-Gadea ◽  
Kathryn Trinkaus ◽  
Ramaswamy Govindan ◽  
Daniel Morgensztern

e19158 Background: There is limited data on the prevalence of brain metastases at presentation in NSCLC. Between 1988 and 1997, the Surveillance, Epidemiology, and End Results (SEER) database recorded the use of brain radiation in patients with lung cancer. We developed a predictive clinical model for brain metastases (BM) at presentation based on the use of brain radiation (BRT), which may be used as a surrogate since it is not indicated in NSCLC patients without BM. Methods: Patients with NSCLC diagnosed between 1988-1997, aged 21 or older were subdivided according to radiation data into none or indicated (given, refused or unknown if administrated). Since the database records only initial therapy, patients with indication for radiotherapy were assumed to have had early brain metastases. Frequencies and odds Ratio (OR) were calculated for each demographic factor and the most significant were included in the predictive model. Results: Among the 131,456 patients evaluated, 10,963 (8.4%) had BRT indicated. The most significant predictors in multivariate analysis were age > 60 (HR 0.5; 95% CI 0.46-0.54), non-squamous histology (HR 0.53; 95% CI 0.48-0.59), size > 5 cm (HR 1.27; 95% CI 1.16-1.39), grades III-IV (HR 2.04; 95% CI 1.82-2.27) and N2-3 involvement (HR 2.55; 95% CI 2.34-2.78). The 40,963 patients with known status of all 5 factors were used in the predictive model. The frequency of BM for patients with zero, 1, 2, 3, 4 and 5 factors were 0.7%, 1.8%, 4.7%, 8.9%, 13.7% and 20.2% respectively. Conclusions: Despite the limitations of this study, including indication for BRT as a surrogate for BM, older data and possible bias in the use of brain imaging according to demographic factors, our findings showed that the risk of BM at presentation may be stratified with the use of 5 clinical factors. These results may be used as a baseline for studies on clinical and molecular determinants of BM.


2020 ◽  
Vol 75 (11) ◽  
pp. 943
Author(s):  
Richard Carrick ◽  
Martin Maron ◽  
Benjamin Wessler ◽  
Bradley Maron ◽  
Ethan Rowin

Author(s):  
Benjamin S. Wessler ◽  
Jessica Paulus ◽  
Christine M. Lundquist ◽  
Muhammad Ajlan ◽  
Zuhair Natto ◽  
...  

2003 ◽  
Vol 22 (1) ◽  
pp. S160
Author(s):  
J.D Christie ◽  
V.N Ahya ◽  
A Pochettino ◽  
E Demissie ◽  
C Gaughan ◽  
...  

2018 ◽  
Vol 34 (2) ◽  
pp. 283-294 ◽  
Author(s):  
Mariana A. Vasconcelos ◽  
Ana Cristina Simões e Silva ◽  
Izabella R. Gomes ◽  
Rafaela A. Carvalho ◽  
Sergio V. Pinheiro ◽  
...  

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