Urinary tract infections in meningioma patients: analysis of risk factors and outcomes

Nosova, Kristin; Nuño, Miriam A; Mukherjee, Debraj; Lad, Shivanand P.; Boakye, Maxwell; Black, Keith L.; Patil, Chirag G.

doi:10.1016/j.jhin.2012.10.011

Cited by 16 publications

(8 citation statements)

References 43 publications

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“…This produces similar estimates to multistate modelling although with less precision and wider confidence intervals. [3] A combination of these two methods was used by Barnett et al who applied multistateNational Inpatient Sample (NIS) [31,35,56,57,65,71,115,119]. These studies use ICD codes to identify cases but NIS data do not provide information on the timing of infection forcing researchers to use time-fixed methods to estimate impact of HAI on LOS.…”

mentioning

confidence: 99%

Estimating excess length of stay due to healthcare-associated infections: a systematic review and meta-analysis of statistical methodology

Manoukian

Stewart

Dancer

et al. 2018

Journal of Hospital Infection

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mentioning

confidence: 99%

Estimating excess length of stay due to healthcare-associated infections: a systematic review and meta-analysis of statistical methodology

Manoukian

Stewart

Dancer

et al. 2018

Journal of Hospital Infection

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“…Out of the total studies identified, 25 focused on healthcareassociated infections in post-surgical patients. Specifically, 8 studies examined infections secondary to orthopedic and traumatology procedures (13,14,19,21,28,29,32,33) , 5 focused on cardiovascular surgery (11,16,26,31,34) , 5 on procedures in oncology patients (10,15,18,20,30) , 5 on gastrointestinal surgery (17,22,23,25,27) , and 2 on neurosurgical procedures (12,24) .…”

Section: Resultsmentioning

confidence: 99%

“…The studies were published between 1996 and 2017 and were conducted in various countries, including the United Stat es (11)(12)(13)(14)(15)17,18,21,22,24,27,29,33) , Canada (25) , the United Kingdom (28,30) , the Netherlands (10) , Switzerland (16) , Sweden (19) , Spain (26,32,34) , Israel (20) , Mexico (23) , and Slovenia (31) . All the studies were written in English.…”

Section: Resultsmentioning

confidence: 99%

Infecciones asociadas a la atención de la salud posterior a procedimientos quirúrgicos en pacientes adultos: scoping review

Espinosa-Moreno,

Chaverra-Perdomo,

Torres-Restrepo

et al. 2023

Cir. parag.

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Objetivo: Establecer las infecciones asociadas a la atención de la salud en pacientes intervenidos quirúrgicamente, sin tener en cuenta las infecciones del sitio operatorio (ISO). Materiales y métodos: Se realizó una búsqueda de la literatura en las bases de datos de MEDLINE, CENTRAL, LILACS además de la literatura gris, para identificar estudios relacionados con infecciones asociadas a la atención de la salud en pacientes adultos que fueron intervenidos quirúrgicamente. Resultados: En la búsqueda realizada se seleccionaron 25 artículos de los cuales se extrajeron los resultados. Las IAAS más frecuentes en los estudios revisados fueron: neumonía asociada al ventilador (36%), neumonía asociada al cuidado de la salud (32%), infecciones de tracto urinario por catéter urinario (48%), infecciones asociadas a catéter venoso (8%). Conclusión: Las infecciones asociadas a la atención de la salud frecuentemente encontradas en pacientes llevados a procedimientos quirúrgicos son la neumonía asociada al ventilador, neumonía asociada al cuidado de la salud, la infección del tracto urinario por catéter y las infecciones asociadas a catéter venoso, sin embargo, las infecciones de sitio operatorio (ISO) son las más documentadas, situación que requiere mayor atención y abordaje a través de otros estudios de investigación.

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“…The targeted literature review yielded a total of 25 publications containing 30 code‐based algorithms to identify UTI 1,4–27 . Studies described within the publications were performed across a diverse set of study populations, including pediatric (n = 7), stroke ( n = 2), male Veterans Affairs ( n = 2), and type 2 diabetic ( n = 2) patients.…”

Section: Resultsmentioning

confidence: 99%

“…While the application of code‐based algorithms to identify UTI is well referenced in prior literature, few studies exist assessing the performance characteristics (i.e., accuracy) of these algorithms 1,4–27 . Tieder, et al explored the performance characteristics of UTI diagnosis codes from hospital billing data in a case–control multicenter study of hospitalized pediatric patients who underwent a urinalysis or urine culture 4 .…”

Section: Introductionmentioning

confidence: 99%

Performance characteristics of code‐based algorithms to identify urinary tract infections in large United States administrative claims databases

Fortin

Swerdel

Sarnecki

et al. 2022

Pharmacoepidemiology and Drug

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Background In real‐world evidence research, reliability of coding in healthcare databases dictates the accuracy of code‐based algorithms in identifying conditions such as urinary tract infection (UTI). This study evaluates the performance characteristics of code‐based algorithms to identify UTI. Methods Retrospective observational study of adults contained within three large U.S. administrative claims databases on or after January 1, 2010. A targeted literature review was performed to inform the development of 10 code‐based algorithms to identify UTIs consisting of combinations of diagnosis codes, antibiotic exposure for the treatment of UTIs, and/or ordering of a urinalysis or urine culture. For each database, a probabilistic gold standard was developed using PheValuator. The performance characteristics of each code‐based algorithm were assessed compared with the probabilistic gold standard. Results A total of 2 950 641, 1 831 405, and 2 294 929 patients meeting study criteria were identified in each database. Overall, the code‐based algorithm requiring a primary UTI diagnosis code achieved the highest positive predictive values (PPV; >93.8%) but the lowest sensitivities (<12.9%). Algorithms requiring three UTI diagnosis codes achieved similar PPV (>0.899%) and improved sensitivity (<41.6%). Algorithms requiring a single UTI diagnosis code in any position achieved the highest sensitivities (>72.1%) alongside a slight reduction in PPVs (<78.3%). All‐time prevalence estimates of UTI ranged from 21.6% to 48.6%. Conclusions Based on these findings, we recommend use of algorithms requiring a single UTI diagnosis code, which achieved high sensitivity and PPV. In studies where PPV is critical, we recommend code‐based algorithms requiring three UTI diagnosis codes rather than a single primary UTI diagnosis code.

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Urinary tract infections in meningioma patients: analysis of risk factors and outcomes

Cited by 16 publications

References 43 publications

Estimating excess length of stay due to healthcare-associated infections: a systematic review and meta-analysis of statistical methodology

Estimating excess length of stay due to healthcare-associated infections: a systematic review and meta-analysis of statistical methodology

Infecciones asociadas a la atención de la salud posterior a procedimientos quirúrgicos en pacientes adultos: scoping review

Performance characteristics of code‐based algorithms to identify urinary tract infections in large United States administrative claims databases

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