Prevalence of Resistance to Antibiotics According to International Classification of Diseases (ICD-10) In Boo Ali Sina Hospital of Sari, 2011-2012

Afshar, Parvaneh; Saravi, Benyamin Mohseni; Nehmati, Ebrahim; Farahabbadi, Ebrahim Bagherian; Yazdanian, Azadeh; Siamian, Hasan; Vahedi, Mohammad

doi:10.5455/medarh.2013.67.329-332

Cited by 3 publications

(4 citation statements)

References 2 publications

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“…It covers all hospitalizations in France, and all reimbursed drugs dispensed by pharmacy (including antibiotics), as well as biological exams. Hospital diagnosis were validated by Afshar et al, who showed that ICD-10 codes allow to analyze pathogens and resistance markers, and Salhi et al showed a good coding of infection, with a positive predictive value between 0.98 [0.65–1.00] and 0,93 [0.88–0.98] [ 33 , 34 ]. Thanks to the access to a wide range of routinely collected detailed information, the SNDS database has been used by other authors to study incidence and prevalence of disease, as well as identify risk factors [ 20 , 35 – 39 ].…”

Section: Discussionmentioning

confidence: 99%

Antibiotic prescriptions and risk factors for antimicrobial resistance in patients hospitalized with urinary tract infection: a matched case-control study using the French health insurance database (SNDS)

et al. 2021

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Background Antibiotic resistance is increasing among urinary pathogens, resulting in worse clinical and economic outcomes. We analysed factors associated with antibiotic-resistant bacteria (ARB) in patients hospitalized for urinary tract infection, using the comprehensive French national claims database. Methods Hospitalized urinary tract infections were identified from 2015 to 2017. Cases (due to ARB) were matched to controls (without ARB) according to year, age, sex, infection, and bacterium. Healthcare-associated (HCAI) and community-acquired (CAI) infections were analysed separately; logistic regressions were stratified by sex. Results From 9460 cases identified, 6468 CAIs and 2855 HCAIs were matched with controls. Over a 12-months window, the risk increased when exposure occurred within the last 3 months. The following risk factors were identified: antibiotic exposure, with an OR reaching 3.6 [2.8–4.5] for men with CAI, mostly associated with broad-spectrum antibiotics; surgical procedure on urinary tract (OR 2.0 [1.5–2.6] for women with HCAI and 1.3 [1.1–1.6] for men with CAI); stay in intensive care unit > 7 days (OR 1.7 [1.2–2.6] for men with HCAI). Studied co-morbidities had no impact on ARB. Conclusions This study points out the critical window of 3 months for antibiotic exposure, confirms the impact of broad-spectrum antibiotic consumption on ARB, and supports the importance of prevention during urological procedures, and long intensive care unit stays.

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Section: Discussionmentioning

confidence: 99%

Antibiotic prescriptions and risk factors for antimicrobial resistance in patients hospitalized with urinary tract infection: a matched case-control study using the French health insurance database (SNDS)

et al. 2021

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“…Administrative databases are increasingly used for epidemiological and diseases burden studies in various countries, but they have not yet been used to measure the AMR burden [ 26 – 29 ]. They provide access to ‘real-life’ data of the national population, and recent works illustrate the value of such data, particularly in the field of infectious diseases [ 29 – 33 ]. Sahli et al .…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, Afshar et al . considered that ICD-10 codes would enable analyses of different pathogens and their drug-resistance patterns [ 33 ].…”

Section: Discussionmentioning

confidence: 99%

Hospitalisations with infections related to antimicrobial-resistant bacteria from the French nationwide hospital discharge database, 2016

et al. 2019

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Massive use of antibiotics has led to increased bacterial resistance to these drugs, making infections more difficult to treat. Few studies have assessed the overall antimicrobial resistance (AMR) burden, and there is a paucity of comprehensive data to inform health policies. This study aims to assess the overall annual incident number of hospitalised patients with AMR infection in France, using the National Hospital Discharge database. All incident hospitalisations with acute infections in 2016 were extracted. Infections which could be linked with an infecting microorganism were first analysed. Then, an extrapolation of bacterial species and resistance status was performed, according to age class, gender and infection site to estimate the total number of AMR cases. Resistant bacteria caused 139 105 (95% CI 127 920–150 289) infections, resulting in a 12.3% (95% CI 11.3–13.2) resistance rate. ESBL-producing Enterobacteriaceae and methicillin-resistant Staphylococcus aureus were the most common resistant bacteria (>50%), causing respectively 49 692 (95% CI 47 223–52 142) and 19 493 (95% CI 15 237–23 747) infections. Although assumptions are needed to provide national estimates, information from PMSI is comprehensive, covering all acute bacterial infections and a wide variety of microorganisms.

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“…The odds of such discharge decreased with increasing age (OR 0.994 per year; 95% CI 0.990-0.999). The proportion of patients discharged against medical advice decreased from 1.4% in 1995 to 0.4% in 1998 ( 16 ).…”

Section: Discussionmentioning

confidence: 99%

Discharge Against Medical Advice in the Pediatric Wards in Boo-ali Sina Hospital, Sari, Iran 2010

et al. 2013

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Introduction:Since children neither comprehended nor contribute to the decision, discharge against medical advice is a challenge of health care systems in the world. Therefore, the current study was designed to determine the rate and causes of discharge against medical advice.Methods:This descriptive cross-sectional study was done by reviewing the medical records by census method. Data was analyzed using SPSS software and x2 statistics was used to determine the relationship between variables. The value of P<0.05 was considered significant.Results:Rate of discharged against medical advice was 108 (2.2%). Mean of age and length of stay were 2.8±4 (SD).3 years old and 3.7±5.4 (SD) days, respectively. Totally, 95 patients (88.7%) had health insurance and 65 (60.2%) patients lived in urban areas. History of psychiatric disease and addiction in 22 (20.6%) of the parents were negative. In addition, 100 (92.3%) patients admitted for medical treatment and the others for surgery. The relationship of the signatory with patients (72.3%) was father. Of 108 patients discharged against medical advice, 20 (12%) were readmitted. The relationship between the day of discharge and discharge against medical advice was significant (ρ =0/03).Conclusion:Rate of discharge against medical advice in Boo-ali hospital is the same as the other studies in the same range. The form which is used for this purpose did not have suitable data elements about description of consequence of such discharge, and it has not shown the real causes of discharge against medical advice.

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Prevalence of Resistance to Antibiotics According to International Classification of Diseases (ICD-10) In Boo Ali Sina Hospital of Sari, 2011-2012

Cited by 3 publications

References 2 publications

Antibiotic prescriptions and risk factors for antimicrobial resistance in patients hospitalized with urinary tract infection: a matched case-control study using the French health insurance database (SNDS)

Antibiotic prescriptions and risk factors for antimicrobial resistance in patients hospitalized with urinary tract infection: a matched case-control study using the French health insurance database (SNDS)

Hospitalisations with infections related to antimicrobial-resistant bacteria from the French nationwide hospital discharge database, 2016

Discharge Against Medical Advice in the Pediatric Wards in Boo-ali Sina Hospital, Sari, Iran 2010

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