scholarly journals PIH2 - CLINICAL AND DEMOGRAPHIC RISK FACTORS AND COSTS OF SURGICAL SITE INFECTION FOLLOWING HYSTERECTOMY

2018 ◽  
Vol 21 ◽  
pp. S214
Author(s):  
D.J. Leaper ◽  
C.E. Holy ◽  
B.P. Chen ◽  
E. Ghosh ◽  
C.E. Edmiston
Keyword(s):  
Risk Factors ◽  
Surgical Site Infection ◽  
Site Infection ◽  
Demographic Risk ◽  
Demographic Risk Factors

Study on surgical site infection following laryngectomy and its risk factors

2011 ◽  
Vol 31 (5) ◽  
pp. 521-523
Author(s):  
Qian XIE ◽  
Bin CAO ◽  
Yong-xiang WEI ◽  
Ning-yu WANG ◽  
Jin-feng LIU ◽  
...  
Keyword(s):  
Risk Factors ◽  
Surgical Site Infection ◽  
Site Infection

scholarly journals Incidence of surgical site infection in dogs undergoing soft tissue surgery: risk factors and economic impact

2019 ◽  
Vol 6 (1) ◽  
pp. e000233
Author(s):  
Jorge Espinel-Rupérez ◽  
Maria Dolores Martín-Ríos ◽  
Veronica Salazar ◽  
Maria Rosario Baquero-Artigao ◽  
Gustavo Ortiz-Díez
Keyword(s):  
Risk Factors ◽  
Soft Tissue ◽  
Surgical Site Infection ◽  
Economic Impact ◽  
Teaching Hospital ◽  
Primary Outcome Measure ◽  
Site Infection ◽  
Urinary Catheterisation ◽  
Organ Space Infection ◽  
Soft Tissue Surgery

ObjectivesTo determine (1) the incidence of surgical site infection (SSI) in patients undergoing soft tissue surgery at a veterinary teaching hospital and to study (2) and describe the main risk factors associated with SSI and (3) assess the economic impact of SSI.DesignProspective cohort study.SettingVeterinary teaching hospital.Participants184 dogs undergoing soft tissue surgery during a 12-month period (October 2013 to September 2014).Primary outcome measureSurgical site infection.ResultsOut of the 184 patients analysed, SSI was diagnosed in 16 (8.7 per cent) patients, 13 (81.3 per cent) were classified as superficial incisional infection, 2 (12.5 per cent) as deep incisional infection and 1 (6.3 per cent) as organ/space infection. The administration of steroidal anti-inflammatory drugs (P=0.028), preoperative hyperglycaemia (P=0.015), surgical times longer than 60 minutes (P=0.013), urinary catheterisation (P=0.037) and wrong use of the Elizabethan collar (P=0.025) were identified as risk factors. Total costs increased 74.4 per cent, with an increase in postsurgical costs of 142.2 per cent.ConclusionsThe incidence of SSI was higher than the incidence reported in other published studies, although they were within expected ranges when a surveillance system was implemented. This incidence correlated with an increase in costs. Additionally new important risk factors for its development were detected.

Clinical and Demographic Risk Factors for COVID-19 during Delivery Hospitalizations in New York City

2021 ◽  
Author(s):  
Desmond Sutton ◽  
Timothy Wen ◽  
Anna P. Staniczenko ◽  
Yongmei Huang ◽  
Maria Andrikopoulou ◽  
...  
Keyword(s):  
Risk Factors ◽  
New York ◽  
New York City ◽  
Logistic Regression ◽  
York City ◽  
Demographic Data ◽  
Outcome Data ◽  
Demographic Risk ◽  
Demographic Risk Factors ◽  
Zip Code

Objective This study was aimed to review 4 weeks of universal novel coronavirus disease 2019 (COVID-19) screening among delivery hospitalizations, at two hospitals in March and April 2020 in New York City, to compare outcomes between patients based on COVID-19 status and to determine whether demographic risk factors and symptoms predicted screening positive for COVID-19. Study Design This retrospective cohort study evaluated all patients admitted for delivery from March 22 to April 18, 2020, at two New York City hospitals. Obstetrical and neonatal outcomes were collected. The relationship between COVID-19 and demographic, clinical, and maternal and neonatal outcome data was evaluated. Demographic data included the number of COVID-19 cases ascertained by ZIP code of residence. Adjusted logistic regression models were performed to determine predictability of demographic risk factors for COVID-19. Results Of 454 women delivered, 79 (17%) had COVID-19. Of those, 27.9% (n = 22) had symptoms such as cough (13.9%), fever (10.1%), chest pain (5.1%), and myalgia (5.1%). While women with COVID-19 were more likely to live in the ZIP codes quartile with the most cases (47 vs. 41%) and less likely to live in the ZIP code quartile with the fewest cases (6 vs. 14%), these comparisons were not statistically significant (p = 0.18). Women with COVID-19 were less likely to have a vaginal delivery (55.2 vs. 51.9%, p = 0.04) and had a significantly longer postpartum length of stay with cesarean (2.00 vs. 2.67days, p < 0.01). COVID-19 was associated with higher risk for diagnoses of chorioamnionitis and pneumonia and fevers without a focal diagnosis. In adjusted analyses, including demographic factors, logistic regression demonstrated a c-statistic of 0.71 (95% confidence interval [CI]: 0.69, 0.80). Conclusion COVID-19 symptoms were present in a minority of COVID-19-positive women admitted for delivery. Significant differences in obstetrical outcomes were found. While demographic risk factors demonstrated acceptable discrimination, risk prediction does not capture a significant portion of COVID-19-positive patients. Key Points

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