Postcesarean Surgical Site Infections According to CDC Standards: Rates and Risk Factors: A Prospective Cohort Study

2008 ◽  
Vol 28 (2) ◽  
pp. 107-108
Author(s):  
H.K. Opøien ◽  
A. Valbø ◽  
A. Grinde-Andersen ◽  
M. Walberg
2015 ◽  
Vol 47 (11) ◽  
pp. 761-767 ◽  
Author(s):  
Emil Aga ◽  
Lital Keinan-Boker ◽  
Arieh Eithan ◽  
Tamar Mais ◽  
Alia Rabinovich ◽  
...  

2001 ◽  
Vol 22 (1) ◽  
pp. 24-30 ◽  
Author(s):  
Miguel Delgado-Rodríguez ◽  
Antonio Gómez-Ortega ◽  
Maria Sillero-Arenas ◽  
Javier Llorca

AbstractObjective:To study postoperative infections in hospital and after discharge, and to identify the risk factors for such infections.Design:Prospective cohort study, with telephone follow-up for 1 month after hospital discharge.Setting:The general surgery service of a tertiary hospital in Spain.Main Outcome Measure:In-hospital and postdischarge surgical-site infection (SSI), always confirmed by a physician.Results:Of the 1,506 patients initially enrolled, 29 died during hospital stay, and 33 were lost to postdischarge follow-up. An SSI was identified prior to discharge in 123 patients and after discharge in 103. For several variables (age, serum albumin, glycemia, lengths of preoperative and postoperative hospital stay, etc), there were no differences between patients with postdischarge SSI and noninfected patients; however, there were differences detected between patients with postdischarge SSI and in-hospital SSI, as well as between patients with in-hospital SSI and noninfected patients. The analysis of risk factors showed that most predictors for in-hospital SSI did not behave in the same manner for postdischarge SSI. Stepwise logistic regression only identified chemoprophylaxis, age (advanced age was a preventive factor), and body mass index as independent risk factors for postdischarge SSI. Differences in risk factors between in-hospital and postdischarge SSIs remained even after controlling for time from operation to diagnosis.Conclusions:Most predictors of in-hospital SSI were not predictors of postdischarge SSI.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1571-P
Author(s):  
HYUN UK MOON ◽  
JA YOUNG JEON ◽  
SOOJIN LEE ◽  
SEUNG JIN HAN ◽  
HAE JIN KIM ◽  
...  

Author(s):  
Aya Isumi ◽  
Kunihiko Takahashi ◽  
Takeo Fujiwara

Identifying risk factors from pregnancy is essential for preventing child maltreatment. However, few studies have explored prenatal risk factors assessed at pregnancy registration. This study aimed to identify prenatal risk factors for child maltreatment during the first three years of life using population-level survey data from pregnancy notification forms. This prospective cohort study targeted all mothers and their infants enrolled for a 3- to 4-month-old health check between October 2013 and February 2014 in five municipalities in Aichi Prefecture, Japan, and followed them until the child turned 3 years old. Administrative records of registration with Regional Councils for Children Requiring Care (RCCRC), which is suggestive of child maltreatment cases, were linked with survey data from pregnancy notification forms registered at municipalities (n = 893). Exact logistic regression was used for analysis. A total of 11 children (1.2%) were registered with RCCRC by 3 years of age. Unmarried marital status, history of artificial abortion, and smoking during pregnancy were significantly associated with child maltreatment. Prenatal risk scores calculated as the sum of these prenatal risk factors, ranging from 0 to 7, showed high predictive power (area under receiver operating characteristic curve 0.805; 95% confidence interval (CI), 0.660–0.950) at a cut-off score of 2 (sensitivity = 72.7%, specificity = 83.2%). These findings suggest that variables from pregnancy notification forms may be predictors of the risk for child maltreatment by the age of three.


2021 ◽  
pp. 026835552110212
Author(s):  
Cassia RL Ferreira ◽  
Marcos de Bastos ◽  
Mirella L Diniz ◽  
Renan A Mancini ◽  
Yan S Raposo ◽  
...  

Objectives To analyze the inter-observer reliability of risk for venous thromboembolism (VTE) in a population of adult acutely-ill medical patients. Methods In this prospective cohort study, we collected risk factors and risk classification for VTE using RAM IMPROVE7. Kappa statistics was used to evaluate inter-observer reliability between lead clinicians and trained researchers. We evaluated occurrence of VTE in patients with mismatched classification. Results We included 2,380 patients, median age 70 years (interquartile range [IQR], 58-79), 56.2% female. Adjusted Kappa for VTE risk factors ranged from substantial (0.64, 95% confidence interval [CI], 0.61-0.67) for “immobilization”, to almost perfect (0.98; 95% CI 0.97-0.99) for “thrombophilia”; risk classification was 0.64 (95% CI 0.60-0.67). Divergent risk classification occurred in 434 patients (18.2%) of whom seven (1.6%) developed VTE. Conclusion Despite substantial to almost perfect reliability between observers for risk factors and risk classification, lead clinicians tended to underestimate the risk for VTE.


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