scholarly journals Predicting Hospital Readmission for Campylobacteriosis from Electronic Health Records: A Machine Learning and Text Mining Perspective

2022 ◽  
Vol 12 (1) ◽  
pp. 86
Author(s):  
Shang-Ming Zhou ◽  
Ronan A. Lyons ◽  
Muhammad A. Rahman ◽  
Alexander Holborow ◽  
Sinead Brophy
Keyword(s):  
Risk Factors ◽  
Hospital Readmission ◽  
Lower Risk ◽  
Male Gender ◽  
Optimal Model ◽  
Recurrent Tonsillitis ◽  
Term Weighting ◽  
Swarm Optimization ◽  
Health Records ◽  
Campylobacter Infections

(1) Background: This study investigates influential risk factors for predicting 30-day readmission to hospital for Campylobacter infections (CI). (2) Methods: We linked general practitioner and hospital admission records of 13,006 patients with CI in Wales (1990–2015). An approach called TF-zR (term frequency-zRelevance) technique was presented to evaluates how relevant a clinical term is to a patient in a cohort characterized by coded health records. The zR is a supervised term-weighting metric to assign weight to a term based on relative frequencies of the term across different classes. Cost-sensitive classifier with swarm optimization and weighted subset learning was integrated to identify influential clinical signals as predictors and optimal model for readmission prediction. (3) Results: From a pool of up to 17,506 variables, 33 most predictive factors were identified, including age, gender, Townsend deprivation quintiles, comorbidities, medications, and procedures. The predictive model predicted readmission with 73% sensitivity and 54% specificity. Variables associated with readmission included male gender, recurrent tonsillitis, non-healing open wounds, operation for in-gown toenails. Cystitis, paracetamol/codeine use, age (21–25), and heliclear triple pack use, were associated with a lower risk of readmission. (4) Conclusions: This study gives a profile of clustered variables that are predictive of readmission associated with campylobacteriosis.

Tonsillar Bleed

2018 ◽  
Author(s):  
Titilopemi A. O. Aina ◽  
Sharon Redd
Keyword(s):  
Risk Factors ◽  
Rapid Sequence Induction ◽  
Male Gender ◽  
Recurrent Tonsillitis ◽  
Surgical Scar ◽  
Rapid Sequence ◽  
Secondary Bleeding ◽  
Sequence Induction ◽  
Inflammatory Drugs ◽  
Risk Of Aspiration

Post-tonsillectomy hemorrhage (PTH) is a very serious complication that can occur after a tonsillectomy. There are two broad categories of PTH, based on onset of bleeding: primary (less than 24 hours) or secondary (greater than 24 hours). Primary bleeding is often attributed to the surgical technique, and secondary bleeding is attributed to sloughing of healing surgical scar. Risk factors for PTH include male gender, age greater than 70 years (in adults), age greater than 5 years (in pediatrics), recurrent tonsillitis, use of nonsteroidal anti-inflammatory drugs (particularly ketorolac), among others. Rapid-sequence induction and intubation is advised to reduce the risk of aspiration for patients presenting with PTH.

Comparative study of Clinical Characteristics in Patients with Mild and Severe Reflux Esophagitis

2020 ◽  
Vol 66 (1) ◽  
pp. 19-22
Author(s):  
Melania Macarie ◽  
Simona Maria Bataga ◽  
Monica Pantea ◽  
Razvan Opaschi ◽  
Simona Mocan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sex Ratio ◽  
Hiatal Hernia ◽  
Statistical Significance ◽  
Erosive Esophagitis ◽  
Male Gender ◽  
Consecutive Series ◽  
Study Group ◽  
Entire Study ◽  
Significant Difference

AbstractObjective: This study aims to determine the correlation between risk factors and erosive esophagitis development.Methods: We conducted a retrospective observational study on a consecutive series of 19.672 patients who underwent upper gastrointestinal endoscopy between 01.01.2011-31.12.2017. A total of 3005 patients, diagnosed with erosive esophagitis, were included in the present study and stratified according to Los Angeles classification.Results: During the studied period we found 3005 patients with erosive esophagitis, sex ratio male to female was 1.3/1, the most common forms of esophagitis being grade A and B: 74.54% patients with esophagitis grade A, 14.80% patients with grade B; 5.29% patients were with grade C and 5.35% patients with esophagitis grade D. In severe esophagitis the male predominance was more prevalent (249 males, 71 female), with a sex ratio 3.50/1. The correlation of male gender with severe esophagitis was highly statistically significant (p < 0.0001, OR 2.97; 95% CI 2.25-3.91). Hiatal hernia was diagnosed in 1171 patients, the presence of large hiatal hernias, being an important predictor, with statistical significance (p < 0.0001, OR 3.41; 95% CI 2.22-5.21), for severe esophagitis development. Incidence of Helicobacter pylori infection was 11.51%, in the entire study group, with no statistical significant difference between patients with mild or severe esophagitis (12.02% vs 7.18%).Conclusion: Erosive esophagitis is a frequent disease, the most common forms being grade A and B. Male gender and the presence of hiatal hernia are the most important risk factors for erosive esophagitis development, in our study group.

scholarly journals Predictors of renal damage in systemic lupus erythematous patients: data from a multiethnic, multinational Latin American lupus cohort (GLADEL)

RMD Open ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. e001299
Author(s):  
Cristina Reátegui-Sokolova ◽  
Manuel F Ugarte-Gil ◽  
Guillermina B Harvey ◽  
Daniel Wojdyla ◽  
Guillermo J Pons-Estel ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systemic Lupus Erythematosus ◽  
Latin American ◽  
Lupus Erythematosus ◽  
Renal Damage ◽  
Cox Regression ◽  
Damage Index ◽  
Early Response ◽  
Male Gender ◽  
Systemic Lupus

AimA decrease in proteinuria has been considered protective from renal damage in lupus nephritis (LN), but a cut-off point has yet to be established. The aim of this study was to identify the predictors of renal damage in patients with LN and to determine the best cut-off point for a decrease in proteinuria.MethodsWe included patients with LN defined clinically or histologically. Possible predictors of renal damage at the time of LN diagnosis were examined: proteinuria, low complement, anti-double-stranded DNA antibodies, red cell casts, creatinine level, hypertension, renal activity (assessed by the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI)), prednisone dose, immunosuppressive drugs and antimalarial use. Sociodemographic variables were included at baseline. Proteinuria was assessed at baseline and at 12 months, to determine if early response (proteinuria <0.8 g/day within 12 months since LN diagnosis) is protective of renal damage occurrence. Renal damage was defined as an increase of one or more points in the renal domain of The Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology (ACR) Damage Index (SDI). Cox regression models using a backward selection method were performed.ResultsFive hundred and two patients with systemic lupus erythematosus patients were included; 120 patients (23.9%) accrued renal damage during their follow-up. Early response to treatment (HR=0.58), antimalarial use (HR=0.54) and a high SES (HR=0.25) were protective of renal damage occurrence, whereas male gender (HR=1.83), hypertension (HR=1.86) and the renal component of the SLEDAI (HR=2.02) were risk factors for its occurrence.ConclusionsEarly response, antimalarial use and high SES were protective of renal damage, while male gender, hypertension and higher renal activity were risk factors for its occurrence in patients with LN.

Association between muscle strength and risk factors for metabolic syndrome in children and adolescents: a systematic review

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Tiago R. de Lima ◽  
Priscila C. Martins ◽  
Giuseppe L. Torre ◽  
Alice Mannocci ◽  
Kelly S. Silva ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Metabolic Syndrome ◽  
Muscle Strength ◽  
Children And Adolescents ◽  
Lower Risk ◽  
Preliminary Evidence ◽  
Risk Of Bias ◽  
The Body ◽  
Reference List

AbstractThe aim of this systematic review was to identify and summarize evidence for the association between muscle strength (MS) and metabolic syndrome (MetS), and MS and combinations of risk factors for MetS in children and adolescents. Five databases (Medline/PubMed, EBSCO, Scielo, Scopus, and Web of Knowledge) were searched up to November 2019 with complementary reference list searches. Inclusion criteria were studies that investigated the relationship between MS and MetS or MS and combinations of risk factors for MetS in children and adolescents (≤19 years of age). Risk of bias was assessed using standard procedures. From the total of 15,599 articles initially identified, 13 articles were included, representing 11,641 children and adolescents. Higher MS values were associated with lower risk for MetS or combinations of risk factors for MetS (n=11/13 studies). Of the total of included studies, about 23.1% (03/13) were longitudinal and all included studies were classified as having a moderate risk of bias. This review provides preliminary evidence for a beneficial relationship between MS and MetS among children and adolescents. Additionally, although the body of evidence points to the beneficial relationship between higher MS and lower risk for combination of factors for MetS in children and adolescents, this relationship is inconclusive.

scholarly journals Maternal and neonatal risk factors for neonatal respiratory distress syndrome in term neonates in Cyprus: a prospective case–control study

2021 ◽  
Vol 47 (1) ◽  
Author(s):  
Paraskevi Stylianou-Riga ◽  
Theodora Boutsikou ◽  
Panayiotis Kouis ◽  
Paraskevi Kinni ◽  
Marina Krokou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Pulmonary Hypertension ◽  
Caesarean Section ◽  
Distress Syndrome ◽  
Elective Caesarean Section ◽  
Case Control ◽  
Male Gender ◽  
Term Neonates ◽  
Systemic Hypotension ◽  
Neonatal Respiratory Distress

Abstract Background Neonatal respiratory distress syndrome (NRDS) is strongly associated with premature birth, but it can also affect term neonates. Unlike the extent of research in preterm neonates, risk factors associated with incidence and severity of NRDS in term neonates are not well studied. In this study, we examined the association of maternal and neonatal risk factors with the incidence and severity of NRDS in term neonates admitted to Neonatal Intensive Care Unit (NICU) in Cyprus. Methods In a prospective, case-control design we recruited term neonates with NRDS and non-NRDS admitted to the NICU of Archbishop Makarios III hospital, the only neonatal tertiary centre in Cyprus, between April 2017–October 2018. Clinical data were obtained from patients’ files. We used univariate and multivariate logistic and linear regression models to analyse binary and continuous outcomes respectively. Results During the 18-month study period, 134 term neonates admitted to NICU were recruited, 55 (41%) with NRDS diagnosis and 79 with non-NRDS as controls. In multivariate adjusted analysis, male gender (OR: 4.35, 95% CI: 1.03–18.39, p = 0.045) and elective caesarean section (OR: 11.92, 95% CI: 1.80–78.95, p = 0.01) were identified as independent predictors of NRDS. Among neonates with NRDS, early-onset infection tended to be associated with increased administration of surfactant (β:0.75, 95% CI: − 0.02-1.52, p = 0.055). Incidence of pulmonary hypertension or systemic hypotension were associated with longer duration of parenteral nutrition (pulmonary hypertension: 11Vs 5 days, p < 0.001, systemic hypotension: 7 Vs 4 days, p = 0.01) and higher rate of blood transfusion (pulmonary hypertension: 100% Vs 67%, p = 0.045, systemic hypotension: 85% Vs 55%, p = 0.013). Conclusions This study highlights the role of elective caesarean section and male gender as independent risk factors for NRDS in term neonates. Certain therapeutic interventions are associated with complications during the course of disease. These findings can inform the development of evidence-based recommendations for improved perinatal care.

scholarly journals Predicting dementia diagnosis from cognitive footprints in electronic health records: a case–control study protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e043487
Author(s):  
Hao Luo ◽  
Kui Kai Lau ◽  
Gloria H Y Wong ◽  
Wai-Chi Chan ◽  
Henry K F Mak ◽  
...  
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Hong Kong ◽  
Electronic Health Records ◽  
Case Control Study ◽  
Case Control ◽  
Dementia Diagnosis ◽  
Health Records ◽  
Electronic Health ◽  
Control Study

IntroductionDementia is a group of disabling disorders that can be devastating for persons living with it and for their families. Data-informed decision-making strategies to identify individuals at high risk of dementia are essential to facilitate large-scale prevention and early intervention. This population-based case–control study aims to develop and validate a clinical algorithm for predicting dementia diagnosis, based on the cognitive footprint in personal and medical history.Methods and analysisWe will use territory-wide electronic health records from the Clinical Data Analysis and Reporting System (CDARS) in Hong Kong between 1 January 2001 and 31 December 2018. All individuals who were at least 65 years old by the end of 2018 will be identified from CDARS. A random sample of control individuals who did not receive any diagnosis of dementia will be matched with those who did receive such a diagnosis by age, gender and index date with 1:1 ratio. Exposure to potential protective/risk factors will be included in both conventional logistic regression and machine-learning models. Established risk factors of interest will include diabetes mellitus, midlife hypertension, midlife obesity, depression, head injuries and low education. Exploratory risk factors will include vascular disease, infectious disease and medication. The prediction accuracy of several state-of-the-art machine-learning algorithms will be compared.Ethics and disseminationThis study was approved by Institutional Review Board of The University of Hong Kong/Hospital Authority Hong Kong West Cluster (UW 18-225). Patients’ records are anonymised to protect privacy. Study results will be disseminated through peer-reviewed publications. Codes of the resulted dementia risk prediction algorithm will be made publicly available at the website of the Tools to Inform Policy: Chinese Communities’ Action in Response to Dementia project (https://www.tip-card.hku.hk/).

scholarly journals 1665. Using Electronic Health Records to Describe TB in Community Health Settings: a Cohort Analysis in a Large Safety-Net Population

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S819-S820
Author(s):  
Jonathan Todd ◽  
Jon Puro ◽  
Matthew Jones ◽  
Jee Oakley ◽  
Laura A Vonnahme ◽  
...  
Keyword(s):  
United States ◽  
Risk Factors ◽  
Electronic Health Records ◽  
Safety Net ◽  
The United States ◽  
Research Network ◽  
Health Records ◽  
Treatment Regimens ◽  
Data Source ◽  
Electronic Health

Abstract Background Over 80% of tuberculosis (TB) cases in the United States are attributed to reactivation of latent TB infection (LTBI). Eliminating TB in the United States requires expanding identification and treatment of LTBI. Centralized electronic health records (EHRs) are an unexplored data source to identify persons with LTBI. We explored EHR data to evaluate TB and LTBI screening and diagnoses within OCHIN, Inc., a U.S. practice-based research network with a high proportion of Federally Qualified Health Centers. Methods From the EHRs of patients who had an encounter at an OCHIN member clinic between January 1, 2012 and December 31, 2016, we extracted demographic variables, TB risk factors, TB screening tests, International Classification of Diseases (ICD) 9 and 10 codes, and treatment regimens. Based on test results, ICD codes, and treatment regimens, we developed a novel algorithm to classify patient records into LTBI categories: definite, probable or possible. We used multivariable logistic regression, with a referent group of all cohort patients not classified as having LTBI or TB, to identify associations between TB risk factors and LTBI. Results Among 2,190,686 patients, 6.9% (n=151,195) had a TB screening test; among those, 8% tested positive. Non-U.S. –born or non-English–speaking persons comprised 24% of our cohort; 11% were tested for TB infection, and 14% had a positive test. Risk factors in the multivariable model significantly associated with being classified as having LTBI included preferring non-English language (adjusted odds ratio [aOR] 4.20, 95% confidence interval [CI] 4.09–4.32); non-Hispanic Asian (aOR 5.17, 95% CI 4.94–5.40), non-Hispanic black (aOR 3.02, 95% CI 2.91–3.13), or Native Hawaiian/other Pacific Islander (aOR 3.35, 95% CI 2.92–3.84) race; and HIV infection (aOR 3.09, 95% CI 2.84–3.35). Conclusion This study demonstrates the utility of EHR data for understanding TB screening practices and as an important data source that can be used to enhance public health surveillance of LTBI prevalence. Increasing screening among high-risk populations remains an important step toward eliminating TB in the United States. These results underscore the importance of offering TB screening in non-U.S.–born populations. Disclosures All Authors: No reported disclosures

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