key: cord-0867974-94daiqzq
authors: Babich, Tanya; Eliakim-Raz, Noa; Turjeman, Adi; Pujol, Miquel; Carratalà, Jordi; Shaw, Evelyn; Gomila Grange, Aina; Vuong, Cuong; Addy, Ibironke; Wiegand, Irith; Grier, Sally; MacGowan, Alasdair; Vank, Christiane; van den Heuvel, Leo; Leibovici, Leonard
title: Risk factors for hospital readmission following complicated urinary tract infection
date: 2021-03-25
journal: Sci Rep
DOI: 10.1038/s41598-021-86246-7
sha: 2a24235fc06c12ad7b1a2dbecafa00815aa91784
doc_id: 867974
cord_uid: 94daiqzq

Hospital readmissions following severe infections are a major economic burden on the health care system and have a negative influence on patients' quality of life. Understanding the risk factors for readmission, particularly the extent to which they could be prevented, is of a great importance. In this study we evaluated potentially preventable risk factors for 60-day readmission in patients surviving hospitalization for complicated urinary tract infection (cUTI). This was a multinational, multicentre retrospective cohort study conducted in Europe and the Middle East. Our cohort included survivors of hospitalization due to cUTI during the years 2013–2014. The primary outcome was 60-day readmission following index hospitalization. Patient characteristics that could have influenced readmission: demographics, infection presentation and management, microbiological and clinical data; were collected via computerized medical records from infection onset up to 60 days after hospital discharge. Overall, 742 patients were included. The cohort median age was 68 years (interquartile range, (IQR) 55–80) and 43.3% (321/742) of patients were males. The all-cause 60-day readmission rate was 20.1% (149/742) and more than half were readmitted for infection [57.1%, (80/140)]. Recurrent cUTI was the most frequent cause for readmission [46.4% (65/140)]. Statistically significant risk factors associated with 60-day readmission in multivariable analysis were: older age (odds ratio (OR) 1.02 for an one-year increment, confidence interval (CI) 1.005–1.03), diabetes mellitus (OR 1.63, 95% CI 1.04–2.55), cancer (OR 1.7, 95% CI 1.05–2.77), previous urinary tract infection (UTI) in the last year (OR 1.8, 95% CI: 1.14–2.83), insertion of an indwelling bladder catheter (OR 1.62, 95% CI 1.07–2.45) and insertion of percutaneous nephrostomy (OR 3.68, 95% CI 1.67–8.13). In conclusion, patients surviving hospitalization for cUTI are frequently re-hospitalized, mostly for recurrent urinary infections associated with a medical condition that necessitated urinary interventions. Interventions to avoid re-admissions should target these patients.

www.nature.com/scientificreports/ index hospitalization was associated with higher rates of readmission. Also, patients discharged to care facilities had a higher risk for readmission compared to patients who were discharged home 2, 6, 7 . Complicated urinary tract infection is a common nosocomial infection that is responsible for a major share of hospital admissions, and account for 20% to 40% of severe sepsis cases 8, 9 . These infections are associated with catheterization and anatomical or functional modification of the urinary tract and thus a subject to frequent re-hospitalizations 10 . Understanding the avoidable risk factors for readmission may inform policy for optimal care during hospitalization and proper post-discharge ambulatory care. Therefore, we aimed to determine potentially preventable risk factors for readmission in patients surviving hospitalization following complicated urinary tract infection.

Study design, setting, and participants. This was a multinational, multicenter, retrospective cohort study that involved collection of data on hospitalized patients, diagnosed with complicated urinary tract infection (cUTI) as a primary cause of hospitalization or developed cUTI throughout hospitalization between 1st January 2013 to 31st December 2014. The study was carried out in 20 centers (8 countries) around Europe and the Middle East (eTable1). Patients were identified by systematic screening via hospital administration system 11 for CD-9 CM or ICD-10 CM Codes at discharge 12, 13 . Eligible patients were reviewed for inclusion at each site.

This cohort was previously described in a paper by Elikaim-Raz and et al. 14 .

Inclusion criteria were according to adapted Food and Drug Administration (FDA) guidance, European medicine agency (EMA) and clinical practice guidelines on definition of cUTI's: Adult patients with UTI and at least one of the following: neurogenic bladder, indwelling urinary catheter, renal transplantation, pyelonephritis with normal urinary tract anatomy, obstructive uropathy, renal impairment caused by intrinsic renal disease, urinary retention or urinary tract modifications; and at least one of the following signs or symptoms: dysuria, urinary frequency, or urinary urgency, UTI-related altered mental state, chills or rigors associated with fever or hypothermia, costo-vertebral angle tenderness on physical examination, flank pain or pelvic pain and bacteriuria of 10 5 CFU/mL or greater of no more than 2 pathogens in urine culture or a positive blood culture growing possible uropathogens (of maximum 2 pathogens) without an alternative site of infection. In the present analysis we included patients that did not acquire their infection in the hospital, and patients that their index hospitalization did not result in death.

Exclusion criteria included: prostatitis, polymicrobial infections including Candida spp., polymicrobial infections of more than 2 pathogens and cUTI with Candida spp. as the only growth.

Definitions and outcomes. Data were extracted from computerized medical records and hospital administration system into a web-based electronic case report form (eCRF). Automatic validation programs, monitoring, and audit were conducted by a designated third party.

Data were collected from infection onset up to 60 days after hospital discharge: demographics, patient characteristics, comorbidities, Charlson comorbidity index 15 , characteristics and presentation of infection, microbiological and clinical data, clinical management of infection including empirical antibiotic treatment, outcomes and details on readmission including reason for readmission and length of hospital stay. Cancer was defined as one of the following: leukemia, lymphoma, solid tumor or metastatic disease. Pyelonephritis was defined as a urinary tract infection with normal urinary tract anatomy, in the presence of fever, and involvement of the kidney as evidenced by flank pain or tenderness or findings on imaging.

Our primary outcome was readmission to the hospital during 60 days following index hospitalization.

Ethics statements. The study was approved by the institutional review board at Rabin Medical Center, Compus Beilinson and at each participating site in accordance with local regulatory requirements. Data were retrieved and handled anonymously in accordance with the local data protection regulation and European Directive on the Privacy of Data (EU (95/46/EC) 16 . Also, all methods were carried out in accordance with relevant guidelines and regulations. The committees waived the need for informed consent.

Statistical analysis. IBM SPSS statistics 25 software was used for statistical analysis. P values are two-tailed and P < 0.05 was considered statistically significant. For the univariate analysis the following tests were used: for categorical variables-Chi-square test or Fisher's exact test as appropriate, for continuous variables-Mann-Whitney test or student's t test if normally distributed.

Statistically significant variables were tested for multicollinearity by a correlation matrix and variance inflation factor (VIF) to determine the degree of correlation.

To identify independent risk factors for hospital readmission multivariable analysis using generalized estimating equation (GEE) binary logistics (to account for study site as a random effect variable) was performed. Statistically significant variables found in univariate analysis, not strongly correlated and clinically relevant where introduced in this model. The Quasi-likelihood under the independence model criterion (QIC) helped to adjust the best model. 

Sepsis severity (septic shock, bacteremia, intensive care unit (ICU) admission and mechanical ventilation) did not differ between patients that were readmitted to those who were not. Patients hospitalized with pyelonephritis were less likely to be readmitted during 60 days of discharge [ Length of antibiotic treatment (days) (median, (IQR)) 6 (4-9) 6 (4-11) 6 (4-9) 0.117

Length of hospital stay (days) (median, (IQR)) 7 (4. 

In this large multinational cohort one out of five patients hospitalized for cUTI was readmitted during the following 60 days after discharge. Among them, in nearly 40% the reason was recurrent cUTI. We found that previous UTI infection in the last year prior the index hospitalization and insertion of urological devices (indwelling bladder catheter or percutaneous nephrostomy) as a treatment strategy for cUTI were strong predictors of 60-day readmission. These findings suggest that anatomic abnormalities /dysfunction of the urinary tract are major risk factors for readmission. The rates of readmission were lower in patients with pyelonephritis. This can be explained by the fact that these patients are usually young females with a normal urinary tract anatomy and as such have a better prognosis compared to patients with other reasons for cUTI 17 . Disappointingly neither appropriate empirical antibiotic treatment nor the duration of antibiotic treatment had an influence on readmission. Prescott H.C et al. demonstrated that infection related readmissions compared to other medical conditions within 90-day discharge following sever sepsis can be partially prevented by early treatment and a better follow-up care 18 . Quality of care during the index hospitalization is of importance for reducing readmissions following sever sepsis. the surviving sepsis campaign guidelines stress the need for early identification of infection and proper early antibiotic treatment 5 .

Additional significant predictors for 60-day readmission were older age and comorbidities such as diabetes mellitus and cancer. Length of hospital stay and discharge to long term facilities were not statistically associated with readmission in the multivariable analysis.

In our study, similarly to previously published studies, the majority of readmissions are due to recurrent infection among sepsis survivals 6, 19, 20 . Sun et al. 19 retrospectively reviewed 444 sepsis survivals at risk for readmission from three acute care hospitals. The overall readmission rate was 23.4% with infection being the most common reason for hospital readmission. Among them, 51.4% were recurrent/unresolved infections. DeMerle et al. 20 conducted a retrospective study on 1,588 survivals of hospitalization for sepsis to identify the extent to which the readmission was due to same site and pathogen. They found that among 472 patients re-hospitalized 29.1% were for sepsis, of them 68.6% were for the same site but only one fifth were culture positive. Also, the most common site of infection was the urinary tract (29.2%).

Several studies were performed in order to identify risk factors for hospital readmission among sepsis survivals. Goodwin et al. 2 retrospectively analyzed severe sepsis survivals from three hospitals around U.S states to evaluate predictors for hospital readmission. Among the 43,425 survivals, 20,907 patients were readmitted during 180 days. Significant risk factors were age, male gender, race, insurance status, comorbidities such as malignancy, diabetes lung and chronic kidney disease, longer length of stay and discharge to care facilities.

To the best of our knowledge our study is the first to focus on patients with cUTI, hence the etiology of infection and predictors of readmission differ from previously published studies. Our study suggests that the presence of underlying disease which accompanies these patients, and especially pathologies and instrumentation of the urinary tract predisposes them to recurrent infections and frequent hospital admissions. Post-discharge strategies and follow up care to reduce readmission among these patients should be implemented and tested. Extensive strategies such as arranged follow-ups, providing discharge summaries for community physicians and patient education to reduce readmissions for other conditions have been implemented and found useful in many studies 21, 22 . Although the need of our study papulation differ from previously published studies they provide evidence that the link between hospital caregivers and outpatient care may be effective in reducing readmissions. www.nature.com/scientificreports/ Our study has several limitations. First, this was an observational retrospective study, and as such a relatively weak design and particularly prone to selection bias. Secondly, patients' were collected from 20 hospitals, in which the local management and diagnostic guidelines may differ. We tried to minimize this bias by close monitoring and strict adherence to the study protocol. Moreover, in the analysis, study center was added as a random variable, accounting for clustering by center. Third, we could not capture patients' readmitted to hospitals with a different administrative system. This may underestimate the rate of readmissions and hence weaken the association. We did not collect data on the pathogens of the urinary tract infections that caused readmission. Our study's strength lies in its large sample size, a multinational and multicenter design and the fact that it focuses on a specific group of patients with cUTI. These strengths encourage the use of our results for benchmarking.

Patients with complicated UTI and abnormalities or instrumentation of the urinary tract should be closely monitored after discharge from the hospital. Removal of catheters and drains as soon as possible in the community will probably prevent recurrent infections and re-admissions. Although we could not show a difference made by the duration of antibiotic treatment, further research on the need for antibiotic prophylaxis, the most suitable antibiotic drugs for acute episode and timing of device removal to prevent recurrences should be performed in these patients. The results of this study stress the necessity to examine re-admissions separately in groups of patients according to their main reason for hospital stay. 

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Directive 95/46/EC of the European Parliament and of the Council of 24 October 1995 on the protection of individuals with regard to the processing of personal data and on the free movement of such data

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This work was performed in partial fulfillment of the requirements for Ph.D. degree of Tanya Babich, Sackler Faculty of medicine, Tel Aviv University, Israel. We thank the COMBACTE MAGNET WP5 RESCUING Study Group and Study Sites for their kind contribution to this study.

Authors I.A., C.V., I.W., and C.V. belong to EFPIA (European Federation of Pharmaceutical Industries and Association) member companies in the IMI JU and costs related to their part in the research were carried by the respective company as in kind contribution under the IMI JU scheme. Other authors declare no potential conflicts.

Supplementary Information The online version contains supplementary material available at https:// doi. org/ 10. 1038/ s41598-021-86246-7.Correspondence and requests for materials should be addressed to T.B.

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