Faculty Opinions recommendation of Association of Patient Risk Factors and Frequency of Nevus-Associated Cutaneous Melanomas.

2015 ◽  
Author(s):  
Marjan Garmyn
Keyword(s):  
Risk Factors ◽  
Patient Risk

scholarly journals Relative impact of red blood cell transfusion and anaemia on 5-year mortality in cardiac surgery

2020 ◽  
Author(s):  
Long Tran ◽  
Guri Greiff ◽  
Alexander Wahba ◽  
Hilde Pleym ◽  
Vibeke Videm
Keyword(s):  
Risk Factors ◽  
Cardiac Surgery ◽  
Blood Cell ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Open Heart ◽  
Patient Risk ◽  
Equation Modelling ◽  
Rbc Transfusion ◽  
Preoperative Anaemia

Abstract Graphical Abstract OBJECTIVES The aim was to compare the relative effects of red blood cell (RBC) transfusion and preoperative anaemia on 5-year mortality following open-heart cardiac surgery using structural equation modelling. We hypothesized that patient risk factors associated with RBC transfusion are of larger importance than transfusion itself. METHODS This prospective cohort study, part of the Cardiac Surgery Outcome Study at St. Olavs University Hospital, Trondheim, Norway, included open-heart on-pump cardiac surgery patients operated on from 2000 through 2017 (n = 9315). Structural equation modelling, which allows for intervariable correlations, was used to analyse pathway diagrams between known risk factors and observed mortality between 30 days and 5 years postoperatively. Observation times between 30 days and 1 year, and 1–5 years postoperatively were also compared with the main analysis. RESULTS In a simplified model, preoperative anaemia had a larger effect on 5-year mortality than RBC transfusion (standardized coefficients: 0.17 vs 0.09). The complete model including multiple risk factors showed that patient risk factors such as age (0.15), anaemia (0.10), pulmonary disease (0.11) and higher creatinine level (0.12) had larger effects than transfusion (0.03). Results from several sensitivity analyses supported the main findings. The models showed good fit. CONCLUSIONS Preoperative anaemia had a larger impact on 5-year mortality than RBC transfusion. Differences in 5-year mortality were mainly associated with patient risk factors.

Recovery of Both Vancomycin-Resistant Enterococci and Methicillin-ResistantStaphylococcus aureusFrom Culture of a Single Clinical Specimen From Colonized or Infected Patients

2009 ◽  
Vol 30 (2) ◽  
pp. 130-138 ◽  
Author(s):  
Sang Hoon Han ◽  
Bum Sik Chin ◽  
Han Sung Lee ◽  
Su Jin Jeong ◽  
Hee Kyung Choi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Tertiary Care ◽  
Clinical Specimen ◽  
Multivariate Logistic Regression Analysis ◽  
University Hospital ◽  
Cell Contact ◽  
Patient Risk ◽  
Clinical Specimens ◽  
Vancomycin Resistant Enterococci ◽  
Vancomycin Resistant

Objective.To describe the incidence of recovery of both vancomycin-resistant enterococci (VRE) and methicillin-resistantStaphylococcus aureus(MRSA) from culture of a single clinical specimen, to describe the clinical characteristics of patients from whom these specimens were recovered, and to identify the risk factors of these patients.Design.A retrospective cohort and case-control study.Setting.A tertiary care university hospital and referral center in Seoul, Korea.Methods.We identified 61 case patients for whom a single clinical specimen yielded both VRE and MRSA on culture, and 122 control patients for whom any clinical specimen yielded only VRE on culture. The control patients were selected by matching 2 :1 with the case patients for age, sex, and first date of sampling that led to isolation of VRE or both VRE and MRSA among 1,536 VRE-colonized patients from January 1, 2003, through December 31, 2006. To identify patient risk factors for the recovery of both VRE and MRSA in a single clinical specimen, we performed univariate comparisons between the 2 groups and then multivariate logistic regression analysis.Results.The incidence of recovery of both VRE and MRSA from culture of a single clinical specimen was 3.97% (for 61 of 1,536 VRE-colonized patients) over 4 years. Among these 82 single clinical specimens, the most common type was wound specimens (26.8%), followed by lower respiratory tract specimens (18.3%), urine specimens (17.1%), and catheter tips (15.9%). Of the 61 case patients, 14 (23.0%) had 2 or more single clinical specimens that yielded both VRE and MRSA on culture, and the longest interval from the first sampling that yielded both organisms to the last sampling that yielded both was 174 days. Independent patient risk factors for the presence of both VRE and MRSA in a single clinical specimen were chronic renal disease (odds ratio [OR], 7.00;P= .012), urinary catheterization (OR, 3.36;P= .026), and longer total cumulative duration of hospital stay within the previous year (OR, 1.03;P< .001).Conclusion.We confirmed that the recovery of VRE and MRSA from a single clinical specimen occurs continually. Because prolonged cell-to-cell contact can facilitate transfer ofvanA,close observation and surveillance for vancomycin-resistantS. aureus, especially among patients with risk factors for the recovery of both VRE and MRSA from a single clinical specimen, should be continued.

Mistreatment of Elders

2019 ◽  
Author(s):  
Emily I Gorman ◽  
Judith Linden
Keyword(s):  
Risk Factors ◽  
Physical Health ◽  
Elder Abuse ◽  
Social Supports ◽  
Definitive Treatment ◽  
Considerable Proportion ◽  
Behavioral Impairment ◽  
Elder Mistreatment ◽  
Patient Risk ◽  
Suspicion Index

Elder mistreatment affects a considerable proportion of individuals older than 60 to 65 years of age and may include intentional abuse (physical, sexual, emotional, or financial) and neglect. As the proportion of the population that is older than 65 years of age increases, elder mistreatment will become an increasingly common issue. Only a minority of cases of elder abuse are reported; thus, an interview with the patient should be conducted in private if elder mistreatment is suspected. Patient risk factors for elder mistreatment include cognitive or behavioral impairment, poor physical health, and poor social supports. This review examines the approach to the patient, as well as definitive treatment, disposition, and outcomes for victims of elder abuse. The figure shows an algorithm for elder abuse assessment and intervention. Tables list types of elder abuse, factors predisposing to elder mistreatment, indicators of abuse, and the Elder Abuse Suspicion Index. This review contains 1 highly rendered figure, 4 tables, and 42 references.

Identifying the need to refine the potential patient risk factors for niraparib-induced thrombocytopenia

2019 ◽  
Vol 152 (2) ◽  
pp. 265-269 ◽  
Author(s):  
Judith A. Smith ◽  
Tran Le ◽  
Grace A. Martin ◽  
Anjali Gaikwad ◽  
Chenchen H. Sun ◽  
...  
Keyword(s):  
Risk Factors ◽  
Patient Risk ◽  
Potential Patient

scholarly journals 945. Prevalence of HIV Associated Non-AIDS Conditions and Associated Risk Factors among Hospitalized HIV-infected Patients in India

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S504-S505
Author(s):  
Amyeo A Jereen ◽  
Celia Kucera ◽  
Saniya Pervin ◽  
Muralidhar Varma ◽  
Radhakrishnan Rajesh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Transmitted Disease ◽  
Multivariate Logistic Regression Analysis ◽  
Patient Risk ◽  
Sexually Transmitted ◽  
Factors Associated ◽  
Immunodeficiency Virus ◽  
History Of ◽  
Artery Disease ◽  
Associated Risk Factors

Abstract Background HIV-associated non-AIDS (HANA) conditions are becoming common as People Living with Human Immunodeficiency Virus (PLWHIV) age. However, data estimating the prevalence of HANA conditions and associated risk factors is lacking in developing countries. This study evaluates reasons for hospitalizations among PLWHIV in Udupi, India in the antiretroviral era, and describes associated risk factors. Methods Demographic and clinical data were extracted from medical charts of 1280 HIV-infected patients 18 years and older who were admitted to Kasturba Hospital, Manipal, India between January 1, 2013 and December 31, 2017, for a total of 2157 hospitalizations. Primary reasons for hospitalization were categorized into AIDS-defining vs Non-AIDS-defining and HANA vs Non-HANA conditions (Fig 1). Multivariate logistic regression analysis was performed to estimate demographic and clinical factors associated with hospitalizations due to AIDS-defining illness and HANA conditions. Categorization of Reasons for Hospitalization Results Patients’ median age was 45 (18-80) years; 70% male. Median age of patients with AIDS-defining illness (45% of hospitalizations) was lower at 44 (18-75) years compared with HANA (15% of hospitalizations) at 48 (21-80) years. Age (OR, 95% CI) (0.985, 0.974-0.995), admission CD4 (0.998, 0.997 - 0.998), history of hypertension (HTN) (0.59, 0.42-0.82), stroke (0.49, 0.24 - 0.93), diabetes (1.56, 1.10 - 2.19), and AIDS-defining cancers (1.74, 1.05 - 2.89) were associated with AIDS-defining hospitalizations (Fig 2). Additionally, age (1.016, 1.001 - 1.031), history of HTN (1.70, 1.16 - 2.46), coronary artery disease (CAD) (4.02, 1.87- 9.02), chronic kidney disease (CKD) (2.30, 1.15 - 4.61), stroke (2.93, 1.46 - 5.96), Hepatitis B (3.32, 1.66- 6.72), Hepatitis C (16.1, 2.84 - 314), sexually transmitted disease (STD) (3.76, 1.38- 10.8), and HANA-associated cancer (2.44, 1.28- 6.42) were associated with HANA hospitalizations (Fig 3). Patient Risk Factors for AIDS-related Hospitalization Patient Risk Factors for HANA-related Hospitalization Conclusion Prevalence of HANA conditions was lower than AIDS-defining illnesses possibly because of a younger population. Patients with AIDS-defining illnesses were also likely to have HANA conditions. Early detection and effective treatment of both HIV and HANA conditions is essential to decrease hospitalizations in low-resource settings. Disclosures All Authors: No reported disclosures

scholarly journals Patient risk factors for pressure ulcer development: Systematic review

2013 ◽  
Vol 50 (7) ◽  
pp. 974-1003 ◽  
Author(s):  
Susanne Coleman ◽  
Claudia Gorecki ◽  
E. Andrea Nelson ◽  
S. José Closs ◽  
Tom Defloor ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Pressure Ulcer ◽  
Patient Risk ◽  
Pressure Ulcer Development
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