TY - JOUR
T1 - Risk factors for hospital-based surgical site infections
AU - Harikumar, Vishnu
AU - Anvery, Noor
AU - Haq, Misha
AU - Christensen, Rachel E.
AU - Ahmed, Areeba
AU - Koza, Eric
AU - Ma, Melissa
AU - Shi, Victoria
AU - Dirr, McKenzie K.A.
AU - Worley, Brandon
AU - Brieva, Joaquin C.
AU - Yoo, Simon S.
AU - Alam, Murad
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2024/1
Y1 - 2024/1
N2 - Surgical site infections (SSIs) contribute to morbidity and are costly to the healthcare system. To identify factors associated with SSIs. Case–control study analyzing the Nationwide Readmission Database (NRD). We identified 45,445 SSIs. Infection rates were higher in those who were obese (BMI ≥ 30) (OR: 1.39, 95% CI 1.28–1.51), tobacco users (OR: 1.08, 95% CI 1.02–1.15), diagnosed with diabetes (OR: 1.16, 95% CI 1.10–1.22), with Elixhauser Comorbidity Index ≥ 2 (OR: 1.14, 95% CI 1.09–1.20), admitted to hospital for 4–6 days (OR: 1.35, 95% CI 1.29–1.42), in medium-size hospital (OR: 1.15, 95% CI 1.05–1.26), or large-size hospital (OR: 1.43, 95% CI 1.31–1.56). In contrast, patients who were 60–79 years old (OR: 0.78, 95% CI 0.73–0.84), 80 years or older (OR: 0.66, 95% CI 0.59–0.73), female (OR: 0.95, 95% CI 0.91–0.99), underweight (BMI < 18.5) (OR: 0.14, 95% CI 0.03–0.59), in a non-metropolitan hospital (OR: 0.83, 95% CI 0.75–0.91), self-pay (OR: 0.82, 95% CI 0.74–0.91), or covered by Medicare (OR: 0.86, 95% CI 0.80–0.91) had lower odds. Initial data entry to NRD is susceptible to human error. Patients who are obese, use tobacco, have multiple comorbidities, and have long hospital stays in medium-to-large-size hospitals are at risk of SSIs. Conversely, odds of SSIs are lower in females, age ≥ 60, BMI < 18.5, self-pay or Medicare (versus private insurance), or at smaller hospitals. Understanding factors associated with SSIs may help surgeons anticipate complications.
AB - Surgical site infections (SSIs) contribute to morbidity and are costly to the healthcare system. To identify factors associated with SSIs. Case–control study analyzing the Nationwide Readmission Database (NRD). We identified 45,445 SSIs. Infection rates were higher in those who were obese (BMI ≥ 30) (OR: 1.39, 95% CI 1.28–1.51), tobacco users (OR: 1.08, 95% CI 1.02–1.15), diagnosed with diabetes (OR: 1.16, 95% CI 1.10–1.22), with Elixhauser Comorbidity Index ≥ 2 (OR: 1.14, 95% CI 1.09–1.20), admitted to hospital for 4–6 days (OR: 1.35, 95% CI 1.29–1.42), in medium-size hospital (OR: 1.15, 95% CI 1.05–1.26), or large-size hospital (OR: 1.43, 95% CI 1.31–1.56). In contrast, patients who were 60–79 years old (OR: 0.78, 95% CI 0.73–0.84), 80 years or older (OR: 0.66, 95% CI 0.59–0.73), female (OR: 0.95, 95% CI 0.91–0.99), underweight (BMI < 18.5) (OR: 0.14, 95% CI 0.03–0.59), in a non-metropolitan hospital (OR: 0.83, 95% CI 0.75–0.91), self-pay (OR: 0.82, 95% CI 0.74–0.91), or covered by Medicare (OR: 0.86, 95% CI 0.80–0.91) had lower odds. Initial data entry to NRD is susceptible to human error. Patients who are obese, use tobacco, have multiple comorbidities, and have long hospital stays in medium-to-large-size hospitals are at risk of SSIs. Conversely, odds of SSIs are lower in females, age ≥ 60, BMI < 18.5, self-pay or Medicare (versus private insurance), or at smaller hospitals. Understanding factors associated with SSIs may help surgeons anticipate complications.
KW - Hospital readmission
KW - Post-operative complications
KW - Risk factors
KW - Surgical site infections
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U2 - 10.1007/s00403-023-02773-5
DO - 10.1007/s00403-023-02773-5
M3 - Article
C2 - 38091095
AN - SCOPUS:85179644352
SN - 0340-3696
VL - 316
JO - Archives of Dermatological Research
JF - Archives of Dermatological Research
IS - 1
M1 - 43
ER -