A Point Prevalence Survey of Antimicrobial Usage for Surgical Site Infections- A Pilot Perspective from Holy Makkah, Saudi Arabia

Introduction: This study aimed to assess the incidence, microbiological features and management of surgical site infections (SSIs). Methodology: All patients in the surgical ward were followed from admissions until discharge during the study period. Only hospitalized patients with certain SSIs within 30 days of surgeries were included in the study. Results: A total of 457 patients were followed during the study period. Interestingly, only 9 (1.9 %) of the patients developed SSIs. Most of the patients were males 6 (66.7%) and Saudi nationals 7 (77.8 %). The most common surgical procedures were laparoscopic and orthopedic surgeries with a similar rate of 3 (3.3 %). Conclusion: This study revealed that the incidence of SSIs was quite lower at the hospital where the study was conducted and different types of antibiotics were used and recommended for prophylaxis.

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Burden of healthcare-associated infections at six tertiary-care hospitals in Saudi Arabia: A point prevalence survey

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2018.338 ◽

2019 ◽

Vol 40 (3) ◽

pp. 355-357 ◽

Cited By ~ 1

Author(s):

Majid M. Alshamrani ◽

Aiman El-Saed ◽

Asim Alsaedi ◽

Ayman El Gammal ◽

Wafa Al Nasser ◽

...

Keyword(s):

Saudi Arabia ◽

Tertiary Care ◽

Bloodstream Infections ◽

Point Prevalence ◽

Healthcare Associated Infections ◽

Prevalence Survey ◽

Point Prevalence Survey ◽

Tract Infections ◽

Healthcare Associated ◽

Tertiary Care Hospitals

AbstractA point prevalence survey was conducted on May 11, 2017, among inpatients at 6 hospitals in Saudi Arabia. The overall point prevalence was 6.8% (114 of 1,666). The most common types of infections were pneumonia (27.2%), urinary tract infections (20.2%), and bloodstream infections (10.5%). Approximately 19.2% of healthcare-associated infections were device associated.

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A Six-Year Point Prevalence Survey of Healthcare-Associated Infections in an Italian Teaching Acute Care Hospital

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17217724 ◽

2020 ◽

Vol 17 (21) ◽

pp. 7724

Author(s):

Andrea Gentili ◽

Marcello Di Pumpo ◽

Daniele Ignazio La Milia ◽

Doriana Vallone ◽

Gino Vangi ◽

...

Keyword(s):

Acute Care Hospital ◽

Bloodstream Infections ◽

Surgical Site Infections ◽

Point Prevalence ◽

Healthcare Associated Infections ◽

Care Hospital ◽

Prevalence Survey ◽

Point Prevalence Survey ◽

Tract Infections ◽

Healthcare Associated

Healthcare-associated infections (HAI) represent one of the most common cause of infection and an important burden of disease. The aim of this study was to analyze the results of a six-year HAI point prevalence survey carried out yearly in a teaching acute care hospital from 2013 to 2018, following the European Center for Disease Prevention and Control (ECDC) guidelines. Surgical site infections, urinary tract infections, bloodstream infections, pneumonia, meningitis, and Clostridium difficile infections were considered as risk factors. A total of 328 patients with HAI were detected during the 6-year survey, with an average point prevalence of 5.24% (95% CI: 4.70–5.83%). Respiratory tract infections were the most common, followed by surgical site infections, urinary tract infections, primary bloodstream infections, Clostridium difficile infections, and central nervous system infections. A regression model showed length of stay at the moment of HAI detection, urinary catheter, central venous catheter, and antibiotic therapy to be the most important predictors of HAI prevalence, yielding a significant adjusted coefficient of determination (adjusted R2) of 0.2780. This will provide future infection control programs with specific HAI to focus on in order to introduce a proper prophylaxis and to limit exposure whenever possible.

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Estimating incidence and attributable length of stay of healthcare-associated infections—Modeling the Swiss point-prevalence survey

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2021.295 ◽

2021 ◽

pp. 1-10

Author(s):

Sam Doerken ◽

Aliki Metsini ◽

Sabina Buyet ◽

Aline Wolfensberger ◽

Walter Zingg ◽

...

Keyword(s):

Length Of Stay ◽

Surgical Site Infections ◽

Point Prevalence ◽

Healthcare Associated Infections ◽

Prevalence Survey ◽

Point Prevalence Survey ◽

Incidence Proportion ◽

Tract Infections ◽

Healthcare Associated

Abstract Objectives: In 2017, a point-prevalence survey was conducted with 12,931 patients in 96 hospitals across Switzerland as part of the national strategy to prevent healthcare-associated infections (HAIs). We present novel statistical methods to assess incidence proportions of HAI and attributable length-of-stay (LOS) in point-prevalence surveys. Methods: Follow-up data were collected for a subsample of patients and were used to impute follow-up data for all remaining patients. We used weights to correct length bias in logistic regression and multistate analyses. Methods were also tested in simulation studies. Results: The estimated incidence proportion of HAIs during hospital stay and not present at admission was 2.3% (95% confidence intervals [CI], 2.1–2.6), the most common type being lower respiratory tract infections (0.8%; 95% CI, 0.6–1.0). Incidence proportion was highest in patients with a rapidly fatal McCabe score (7.8%; 95% CI, 5.7–10.4). The attributable LOS for all HAI was 6.4 days (95% CI, 5.6–7.3) and highest for surgical site infections (7.1 days, 95% CI, 5.2–9.0). It was longest in the age group of 18–44 years (9.0 days; 95% CI, 5.4–12.6). Risk-factor analysis revealed that McCabe score had no effect on the discharge hazard after infection (hazard ratio [HR], 1.21; 95% CI, 0.89–1.63). Instead, it only influenced the infection hazard (HR, 1.84; 95% CI, 1.39–2.43) and the discharge hazard prior to infection (HR, 0.73; 95% CI, 0.66–0.82). Conclusions: In point-prevalence surveys with limited follow-up data, imputation and weighting can be used to estimate incidence proportions and attributable LOS that would otherwise require complete follow-up data.

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