Evaluation of the Diagnosis and Antibiotic Prescription Pattern in Patients Hospitalized with Urinary Tract Infections: Single-Center Study from a University-Affiliated Hospital
by
, , ,
Adina Fésüs
1,2,3
,
Mária Matuz
4,5,
Erika Papfalvi
4,6,
Helga Hambalek
4,
Roxána Ruzsa
4,
Bence Tánczos
1,
Ildikó Bácskay
2,3,
István Lekli
1,
Árpád Illés
7 and
Ria Benkő
4,5,6,* 1
Department of Pharmacology, Faculty of Pharmacy, University of Debrecen, H-4032 Debrecen, Hungary
2
Department of Pharmaceutical Technology, Faculty of Pharmacy, University of Debrecen, H-4032 Debrecen, Hungary
3
Institute of Healthcare Industry, University of Debrecen, H-4032 Debrecen, Hungary
4
Clinical Pharmacy Department, Faculty of Pharmacy, University of Szeged, H-6725 Szeged, Hungary
5
Central Pharmacy, Albert Szent Györgyi Medical Center, University of Szeged, H-6725 Szeged, Hungary
6
Department of Emergency Medicine, Albert Szent Györgyi Medical Center, University of Szeged, H-6725 Szeged, Hungary
7
Department of Internal Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary
*
Author to whom correspondence should be addressed.
Antibiotics 2023, 12(12), 1689; https://doi.org/10.3390/antibiotics12121689
Submission received: 25 October 2023
/
Revised: 21 November 2023
/
Accepted: 29 November 2023
/
Published: 1 December 2023
(This article belongs to the Special Issue Urinary Tract Infections: New Insights into Diagnosis, Treatment and Pathogenesis)
Abstract
:UTIs (urinary tract infections) are common bacterial infections with a non-negligible hospitalization rate. The diagnosis of UTIs remains a challenge for prescribers and a common source of misdiagnosis. This retrospective observational study aimed to evaluate whether recorded diagnosis by clinicians and empirical antibiotic therapy met the EAU (European Association of Urology) guideline in patients hospitalized with UTI. The study was conducted at an internal medicine unit of a tertiary care medical center in Hungary. The diagnosis was assessed based on clinical presentation, physical examination, and laboratory (including microbiological) results, considering all the potential risk factors. Diagnosis was considered misdiagnosis when not confirmed by clinical presentation or clinical signs and symptoms. Evaluation of empirical antibiotic therapy was performed only for confirmed UTIs. Empirical treatment was considered guideline-adherent when complying with the relevant recommendations. Out of 185 patients, 41.6% failed to meet EAU-based UTI diagnosis criteria, of which 27.6% were misdiagnosed and 14.1% were ABU (asymptomatic bacteriuria). The diagnosis of urosepsis recorded at admission (9.7%, 18/185) was not confirmed either by clinical or microbiological tests in five (5/18) cases. The initial empirical therapies for UTI showed a relatively low rate (45.4%) of guideline adherence regarding agent selection. The most common guideline-non-adherent therapies were combinations with metronidazole (16.7%). Dosage appropriateness assessments showed a guideline adherence rate of 36.1%, and underdosing due to high body weight was common (9.3%). Overall (agent, route of administration, dose, duration) guideline adherence was found to be substantially low (10.2%). We found a relatively high rate of misdiagnosed UTIs. Written protocols on the ward may be crucial in reducing misdiagnosis and in optimizing antibiotic use.
1. Introduction
Inappropriate use of antibiotics has led to ABR (antimicrobial resistance), which is now reckoned as the most severe global public health threat [1,2]. UTIs (urinary tract infections) are common bacterial infections, and are the fourth most common cause of death associated with ABR worldwide [3]. Although UTIs are often treated in ambulatory settings, the hospitalization rate is not negligible. The epicenter of ABR is attributable to the hospital environment [4,5]. A study conducted in the USA found that the hospitalization rate with UTIs was 15.5% [6], and these infections accounted for 2.3% of all deaths in hospitalized patients [7].
In acute care hospitals in Europe, about 35% (in Hungary it was 30%) of patients received at least one antimicrobial agent during their stay [8,9]. ECDC (European Centre for Disease Prevention and Control, Solna, Sweden) point prevalence survey data showed that antibiotic use for UTIs in Europe represents 16% of all antibacterial use in acute care hospitals [9]. CAIs (community-acquired infections) account for 69.9% of the total hospital infections treated with antibiotics, and 15% of these were found to be UTIs (Hungary: 71.8% and 14%, respectively) [10].
Since antibiotics play a key role in the treatment of UTIs, their misuse or overuse may lead to antibiotic resistance (ABR), posing severe health problems for patients and high costs for society [11]. Moreover, the empirical antibiotic therapy for UTIs is becoming a challenge for prescribers, since there are a number of available classifications of UTIs and various guidelines for empirical antibiotic treatment [12,13]. Nevertheless, the diagnosis of UTIs remains a common source of misdiagnosis [12,13]. UTIs are one of the most common overdiagnosed infections treated in hospitals [14], mainly in patients presenting at emergency departments with non-UTI complaints [15,16]. Moreover, misdiagnosis may lead to further unnecessary antibiotic exposure and delay in real diagnosis [17]. Furthermore, in Hungary (2017), in the absence of a national guideline for all UTI types, only international (EAU) guidelines could serve as a recommendation.
To date, descriptions of antibiotic treatment trends for UTIs have only been published for adult primary care in Hungary [18,19]. Despite the frequency and importance of UTIs, no field studies have been conducted in patients hospitalized in Hungary to evaluate the diagnosis and the first empirical antibiotic treatment(s).
The aim of this study was to evaluate the diagnosis and antibiotic prescription pattern for UTIs in hospitalized patients.
2. Results
During the study period, 1665 patients had data gathered; of those, 185 patients’ data were deemed suitable for inclusion in the analysis based on the study criteria. Figure 1 displays the inclusion and exclusion criteria for the research.
2.1. Patient Characteristics and Main Outcomes
The characteristics and comorbidities of patients are presented in Table 1. A total of 125 (67.6%) female patients hospitalized due to UTI were included in the study. The patients’ age at hospital admission ranged from 21 to 101 years; in total, 133 (71.9%) patients were aged ≥ 65 years (Table 1). Overall, 104 (56.2%) patients had a CCI (Charlson Comorbidity Index) score above 4. The most common comorbidities included cardiovascular diseases (24.9%), diabetes mellitus (24.3%), moderate to severe chronic kidney/liver diseases (13.5% and 13.0%, respectively), and hematological malignant diseases (12.4%) (Table 1). Dementia was also relatively common (9.2%) (Table 1). The majority of patients were discharged home (86.5%), and only a small proportion were admitted to the ICU (3.8%) or another hospital ward (2.2%). The overall 30-day mortality rate was 17 (9.2%) (Table 1), comprising 13 (76.5%) in-hospital deaths and 4 (23.5%) post-discharge deaths.
2.2. Diagnosis of UTIs
In most cases, the diagnosis recorded by clinicians differed from that defined according to EAU guideline criteria (Table 2). Among the 185 patients, the rate of misdiagnosis was 24.9% (n = 46), and 14.1% (n = 26) had ABU (asymptomatic bacteriuria) receiving an unnecessary antibiotic course. In 2.7% (n = 5), the UTI diagnosis was not confirmed either by clinical or microbiological tests. As regards non-specific symptoms, in the category of misdiagnosed UTI, confusion occurred in 22.1% (17/77) and was frequently associated with dehydration or dizziness, while dementia occurred in 3.9% (3/77). A total of 84.4% (65/77) of these therapies were initiated at the ED (emergency department), of which 66.2% (43/65) lasted more than three days (6.06 ± 3.96, median 5 days).
Uncategorized UTIs were the most common recorded diagnoses (148/185, 80.0%) when no further classifications of UTI could be found in the patient’s medical records. The highest rate of misdiagnosis (38.9%, 72/185) occurred in uncategorized UTIs (Table 2).
In all misdiagnosed UTI cases, no UTI-specific clinical symptoms were present. The diagnosis of urosepsis recorded at admission (18/185, 9.7%) in five cases (5/18) was not confirmed either by clinical or microbiological tests (Table 2). Therefore, further analyses for empirical antibiotic therapy were only performed for EAU-based ucUTIs and cUTIs, representing 58.4% (108/185) of all patients admitted with UTIs.
2.3. EAU-Confirmed UTIs and Most Frequently Isolated Pathogen Species
The most frequently isolated pathogen species by UTI type are presented in Table 3. The incidence of ucUTIs was higher (60/108, 55.6%) than that of cUTIs (48/108, 44.4%). A total of 50.9% (55/108) of patients underwent a urine culture test; out of these, 39.8% (43/108) were positive, and 2.8% (3/108) of the samples were unsuitable for antibiotic sensitivity testing due to suspected contamination. The most common isolated pathogens were Escherichia coli (19/43, 44.2%), Klebsiella species (6/43, 14.0%), Enterococcus species and other Enterobacteriaceae species (for both 5/43, 11.6%), and there was no significant difference between UTI types. MDR (multidrug-resistant bacteria) represented only 7.0% (3/43) of all cases. There was more than one pathogen present in the samples of 18.6% (8/43) of the patients (Table 3).
2.4. Antibiotic Therapy for EAU-Confirmed UTIs
The characteristics of first antibiotic therapies and key outcomes are described in Table 4. The majority of treatments (75.9%) were monotherapies; in total, 66 (61.1%) patients received their first antibacterial therapy intravenously. The total duration of antibiotic therapy was 6.59 ± 5.21 days. Most patients (69/108, 63.9%) received short-term (1–6 days) antibiotic therapy, while 12.0% (13/108) of patients received prolonged (more than 10 days) antibiotic therapy. However, in the case of ucUTIs, the average duration of antimicrobial therapy was shorter (5.44 ± 3.36, median 4 days) than in the case of cUTIs (8.06 ± 6.68, median 6 days) (p = 0.083, t-test). In the majority of cases, there was no change in the first empirical therapy (67/108, 62.0%). Changes occurred due to sequential antibiotic therapy (6.5%), de-escalation (5.6%), and escalation (25.9%) (Table 4).
2.5. Guideline Adherence in EAU-Confirmed UTIs
Guideline adherence rates to EAU guidelines are presented in Table 4 and Table 5. The initial empirical therapies for UTI showed a relatively low rate (45.4%, 49/108) of guideline adherence in terms of agent selection. Among patients receiving monotherapy (82/108, 75.9%), amoxicillin/clavulanic acid was the most widely used guideline adherent antibiotic agent (43.9%), followed by ciprofloxacin (18.3%) and ceftriaxone (14.6%). There was no guideline for adherent combination therapy. The most common guideline-non-adherent therapies were the combination of these agents with metronidazole (15.4%, 7.7%, and 26.9%, respectively).
Furthermore, overall (agent, route of administration, dose, duration) guideline adherence was found to be substantially lower (10.2%, 11/108) than guideline adherence in terms of agent selection (Table 4). Dosage appropriateness assessment showed a guideline adherence (agent, route of administration, and dose) rate of 36.1% (39/108) while underdosing resulting from higher body weight was 9.3% (10/108) (Table 4).
Regarding the duration of empirical antibiotic treatment, we found a median of 3 days for uc-cystitis, which was in line with the guideline. For uc-pyelonephritis and cUTIs, however, a median of 4 and 6 days, respectively, was found instead of the 7–10 days recommended by the guideline. Overall, the duration of antibiotic therapies was shorter than recommended by the EAU guideline (7–10 days) [11].
3. Discussion
Despite the fact that urinary tract infections are among the most prevalent acute infections, this is the first field study in Hungary to evaluate antibiotic prescription patterns, relationships between guideline adherence, and outcomes in patients hospitalized with UTIs. Our main results show that 41.6% of patients failed to meet EAU-based UTI diagnostic criteria and the initial empirical therapies for UTI showed a low rate (45.4%) of guideline adherence regarding agent selection, while the overall guideline adherence was found to be substantially low (10.2%).
3.1. Diagnosis
UTIs are the second most common clinical reason for antibiotic treatment in ambulatory and hospital care [9,10,14,20]. The EAU guideline recommends the diagnosis of UTIs should be based on full clinical history (incontinence, diabetes, and other risk factors, etc.) and the presence of clinical symptoms (dysuria, urgency, frequency, chills/fever, flank or suprapubic pain, confusion) [11,21].
Misdiagnoses of UTIs are a growing concern worldwide [22,23]. In UK hospitals, an estimated 40% of cases of UTIs in over 65-year-olds were misdiagnosed, leading to over-prescribing antibiotics, and contributing to the emergence of antibiotic resistance [22,24]. According to the literature, UTIs are commonly misdiagnosed in ED, resulting in unnecessary antibiotic use and delay in the real diagnosis and discharge [14,15,22]. Additionally, empirical antibiotic therapies for misdiagnosed UTIs initiated at the ED are typically continued after admission, which is a further concern [25].
A cohort study conducted at an ED found that on the basis of the combination of symptoms and/or positive urine cultures, only 15% of the recorded UTIs met the UTI diagnosis criteria [16]. Furthermore, in a cohort study conducted in 46 hospitals in Michigan, 27.8% (11.0% to 44.6%) of patients were misdiagnosed with UTI, 81.8% of whom started empirical antibiotic therapy at the ED, and the therapy remained unchanged even after admission [14]. In another multihospital cohort study, in 54.2% of patients misdiagnosed with UTIs, the empirical antibiotic therapy was initiated at the ED, 81.3% of whom had therapy for three or more days [25].
Our results support these findings by showing a total of 38.9% (72/185) misdiagnosed UTIs with unnecessary antibiotic therapy.
Patients are often misdiagnosed with UTI when they are asymptomatic or have symptoms of non-infectious origin, such as lack of appetite or foul-smelling urine [25,26,27,28]. Despite other potential causes, confusion as a non-specific symptom (a common accompanying symptom in urosepsis) is also considered to be the most common reason for suspecting a UTI, which leads to misdiagnosis [29]. Furthermore, false-positive urine tests without specific UTI symptoms might result in UTI misdiagnosis [16,22].
In our study, we found that in all misdiagnosed UTI cases, no UTI-specific clinical symptoms were present. The most common symptom that may have resulted in misdiagnosis was confusion, frequently associated with dehydration or dizziness (17/77, 22.1%) or dementia (3/77, 3.9%). At the same time, in 33.8% (26/77) of the cases, bacteriuria was present, which should have been diagnosed as ABU, but was treated inappropriately with antibiotics, instead.
ABU still remains a challenge to fight since it is commonly treated unnecessarily with antibiotics [30]. In a tertiary care institutional study, ABU could be distinguished from UTI by only 33.7% of resident physicians [31]. In a multihospital cohort study, 31.9% of patients with bacteriuria had ABU, with 78.3% of them receiving unnecessary antibiotic therapy [25]. In a multicenter prospective study, 62% of the patients diagnosed with ABU received an antibiotic therapy previously [32].
Furthermore, in our research, the diagnoses of urosepsis in 5 (5/18) cases could not be confirmed due to missing data, while in the other cases, 13 cases diagnosed on the basis of the EAU guideline were other types of UTIs (Table 2). Studies have shown that urosepsis accounts for 20–30% of all sepsis cases and may worsen rapidly, and inappropriate treatment may even lead to death [33]. This fear may result in overdiagnosis of urosepsis, and inappropriate antibiotic use in hospital settings.
3.2. Guideline Adherent Empirical Antibiotic Therapy
Based on the 2015 EAU guideline, empirical antibiotic therapy should be different in uncomplicated and complicated UTIs (Appendix A Table A1) [11]. In the case of the empirical treatment of complicated UTIs with systemic symptoms requiring hospitalization, the recommended initial route of administration is the intravenous one [11]. Moreover, the guideline recommends the use of fluoroquinolones as monotherapy only when local resistance and patient risk factors are considered. The proposed agents are capable of covering Escherichia coli, the predominant pathogen in uncomplicated UTIs, and other Enterobacterales and Enterococcus spp. responsible for complicated UTIs.
3.2.1. Guideline Adherence: Agent Selection
The rate of guideline adherence for antibiotic selection was relatively low—45.4% (49/108). In the study period, national resistance surveillance data from urine samples of hospitalized patients reported the following susceptibility rates in Escherichia coli: 71.5% to amoxicillin/clavulanic acid, 70.0% to ciprofloxacin, and 83.3% to ceftriaxone. Additionally, amoxicillin/clavulanic acid and ciprofloxacin showed potent activity (99.2% and 74.2%, respectively) against Enterococcus faecalis strains (Table 3), but not for Enterococcus faecium (1.6% and 6.1%, respectively. However, Enterococcus faecium has not been isolated in this study. Klebsiella pneumoniae showed a lower susceptibility for amoxicillin/clavulanic acid (66.1%), ceftriaxone (68.2%), and ciprofloxacin (66.8%) [34].
Inappropriate use of metronidazole in combination with other antibacterial was common in our study (a total of 69.2%, 12/26 of combination therapies), despite that metronidazole is ineffective in UTI and not recommended by guidelines. Metronidazole is effective in infections caused by anaerobic bacteria and certain parasites. At the same time, there are hardly any studies reporting UTIs caused by anaerobic bacteria. In the present study, we could not find any rationale for the use of metronidazole in combination therapy. It may be explained with established, but non-evidence-based, malpractice, or, in some cases, the suspicion of concomitant bacterial vaginosis in women.
Considering the route of administration, more than half of the patients (66/108, 66.1%) received intravenous initial antibacterial therapy for UTI. The most common guideline-non-adherent route of administration occurred for the empirical treatment of cUTIs when amoxicillin/clavulanic acid was administered orally instead of intravenously (19/49, 38.78%).
Guideline adherent empirical antibiotic use in UTI varies in the relevant literature. A retrospective cohort study in Jordan evaluating patients hospitalized with ucUTIs found guideline adherent antibiotic therapy in 40% of the cases [35]. In another retrospective observational study conducted at a French ED, the guideline adherence rate was 44% [36]. In addition, a study performed in three general medical wards in New Zealand found only 34% guideline adherence [37]. These rates show that our results are comparable to international findings.
3.2.2. Guideline Adherence: Dosage and Duration of Antibiotic Therapy
The dosage of antibiotic agents is of paramount importance in hospitalized patients. Guideline adherence regarding choice of agent(s), route of administration, and dosing (36.1%) was relatively low. Underdosing affected (9.3%) of UTI patients. The most common underdosing was related to amoxicillin/clavulanic acid when dose adjustment would have been required due to patients’ body weights (Appendix B Table A2). In case of impaired renal function, the administered doses were found to be adequate in all cases.
Although appropriate dosage is important in optimizing antibiotic use and reducing ABR, studies dealing with antibiotic dosing are rare. In a cohort study conducted in a long-term care facility, the risk of Clostridioides (previously Clostridium) difficile infection increased by 94% with suboptimal antibiotic dose [38]. Another retrospective cohort study of uncomplicated UTIs highlighted that the suboptimal doses in ucUTIs increase the prevalence of antibiotic resistance [39].
The average duration of antibiotic therapy for UTIs was 6.59 ± 5.21 days. However, overall (agent, route of administration, dose, duration) guideline adherence was found to be substantially low (10.2%, 11/108). In addition, our results showed that the duration of antibiotic treatment is appropriate in uc-cystitis (median 3 days) and is shorter in uc-pyelonephritis and cUTIs (median 4 and 5.5 days instead of 7–10 days) than recommended (7–10 days).
According to the EAU guideline, the optimal duration of antibiotic therapy varies between different types of UTIs.
In inpatient settings, a small number of studies have addressed the appropriate duration of antibiotic therapy in UTIs. In a study conducted at an American internal medicine clinic, antibiotic selection was appropriate in 97.6% of ucUTIs and 90.5% of cUTIs, but the duration was guideline adherent in 71.96% and 58.6% of cases [40]. This rate is much higher than the one we found in the present study. Moreover, a longer duration of antibiotic therapy increases the risk of Clostridioides difficile infection [41,42]. In a meta-analysis of 32 trials for uc-cystitis, a longer duration of antibiotic therapy was associated with more adverse effects, but with a lower risk of clinical outcome failure [41]. A Cochrane database systematic review found no difference in efficacy between shorter (3–6 days) and longer (7–14 days) therapies in ucUTIs in elderly people [43]. Furthermore, the EAU guideline recommends a longer duration of antibiotic therapy for male patients. Nevertheless, a recent randomized controlled trial found that the 7-day therapy was not inferior compared to the 14-day therapy [44]. In addition, prolonged UTI treatment may contribute to the emergence of ABR [45].
Based on these facts, the optimal duration of antibiotic therapy in UTIs is not well defined.
3.3. Changes in the First Empirical Therapy
Based on the EAU guideline, switching from an intravenous to an oral regimen should be based on the improvement of clinical symptoms when either the same agent or the same drug class should be used [11].
Our results show that switching from an IV to an oral regimen (in 6.5% of the cases) was performed within a median of 2 (1–12) days.
Based on the results of two retrospective cohort studies, iv switching to po treatment was associated with a shorter LOS, shorter antibiotic duration, lower antibiotic exposure, and direct antibiotic costs, compared to iv therapy. Moreover, there was no difference in clinical outcomes (failure, readmission rate, mortality rate) between the two groups [46,47]. To sum up, iv switching to po within an appropriate time may improve the rational use of antibiotics and clinical outcomes.
In this study, antibiotic therapies were escalated quite often (28/108, 25.9%), and in 18 cases due to the antibiogram. De-escalation (6/108, 5.6%) occurred at relatively low rates. According to a retrospective cohort single-center study, de-escalation was associated with better patient outcomes (e.g., reduced LOS), and MDR pathogens were the only significant reason identified for de-escalation failure [48]. However, we found no significant difference in LOS in patients with or without de-escalation. Antibiotic de-escalation after the first 48 h based on susceptibility testing could be an essential antimicrobial stewardship strategy without an increase in hospital length of stay or patients’ mortality [49].
3.4. Strengths and Limitations
This primary data collection enabled an in-depth analysis of antibiotic use in the empirical treatment of UTIs at the Internal Medicine Department of a University Hospital. Nevertheless, retrospective data collection from medical records might contain inaccuracies, missing values, and potential biases.
Another limitation of this study was that there were no available written protocols at the national and hospital level (considering local resistance patterns), regarding the diagnosis and empirical antibiotic therapy of UTIs. Moreover, contrary to international practice, fluoroquinolones were considered guideline adherent agents. However, according to the national surveillance data published later, the sensitivity of the most common UTI pathogen (Escherichia coli) to these antibiotics was low (70.0%) during the data collection period. Therefore, the guideline adherence rate is overestimated. Also, there was a lack of data regarding the antibiotic prescriptions at discharge from the hospital, which were not recorded in this study.
Finally, this single-center study evaluated the prescribing patterns in one university tertiary care center, and results may not be extrapolated to other ones.
4. Materials and Methods
4.1. Study Design and Setting
4.2. Data Collection
Data collection was the same as the one described in our previous study [51]. The ward pharmacist collected data for all patients who received antibiotic therapy during hospital stay. Using the Hospital Information System (e-MedSolution, later UDMED, Debrecen, Hungary), all patient and therapy-related data were manually collected from medication charts and discharge letters, such as age, sex, weight, date of hospital admission and discharge, comorbidities, and type of discharge. On the day of admission, laboratory test results (white blood cell count, CRP, eGFR, or estimated glomerular filtration rate), urine culture tests and microorganisms isolated from samples were also recorded, along with clinical outcome (30-day mortality). Prehospital antibiotic therapy, medication allergies, indications for antibiotic treatment, empirical antibiotic choice, dose, mode of administration, and length of antibacterial therapy during hospital stay were among the data collected for antibacterial therapy. Spreadsheets for Microsoft Excel were used to insert the extracted data for additional analysis.
The study included only adult (18 years or older) patients who received empirical antibiotic therapy for urinary tract infection. In this investigation, the classification of UTI (risk factors, signs and symptoms, and laboratory diagnosis) was performed according to the 2015 EAU guideline, which is shown in Table A1.
This guideline uses the concept of uncomplicated and complicated UTIs, targets adult patients (over 18 years), includes the algorithm for the diagnosis of UTIs, and provides recommendations for the oral and intravenous empirical antibiotic treatment of ucUTIs (uncomplicated UTIs), cUTIs (complicated UTIs), CA-UTIs (catheter-associated UTIs), and US (urosepsis) [11].
Antibacterial therapy without pathogen identification and susceptibility testing was referred to as empirical treatment. Charlson Comorbidity Index (CCI) was used to assess the general health status of the patients [52]. The appropriateness of the drug dosage for antibacterials excreted renally was evaluated using eGFR upon admission. The ATC/DDD index (version 2023) of the World Health Organization was used to determine the extent of antibiotic exposure. The assumed average maintenance dose per day in adults is referred to as the defined daily dose (DDD). DDD, in terms of antibiotics, refers to infections with moderate severity [53]. We analyzed systemic antibacterials (ATC code: J01). The term LOS (length of stay) describes how long a patient stays in the hospital. The days of admission and discharge were counted separately as one day.
4.3. Main Outcome Measures
The primary outcome measure was to assess whether recorded diagnoses by clinicians met the EAU 2015 guideline-based diagnosis criteria [11]. Therefore, diagnosis was assessed based on clinical presentation, microbiological results, and the grade of severity of the infection, also considering risk factors. Diagnosis was considered misdiagnosis when not confirmed by clinical presentation or clinical signs and symptoms. Adherence to the EAU guideline with regard to the selection of empirical antibiotic(s) and dosage was one of the secondary outcome variables.
Assessment for guideline adherence was performed as follows:
Choice assessment: The initial empirical antibiotic treatment started for hospitalized patients with UTI was classified as adherent or non-adherent based on antibiotic selection. When all the antibacterial agents in the combination adhered to the guidelines, the combined therapy was deemed adherent.
Dosage assessment: Based on the previously described guideline, we defined the dose of the first adherent empiric antibiotic therapy as follows:
Appropriate dose: the amount advised by the guidelines, plus dose modification in cases of renal impairment.
Under or overdose: the amount taken in excess of the guidelines and/or no dose modification in cases of renal impairment and in extremes for body weight.
Summary of product characteristics (SPC), which provides a complete description of how to take body weight and eGFR into account in dose calculation, was also taken into account in cases of extreme body weight (<40 and >100 kg) and impaired renal function. When it came to the choice of antibiotic, therapies deemed non-adherent did not undergo dosage assessment.
Furthermore, modifications to the initial antimicrobial treatment were evaluated (sequential therapy: moving from an iv to an oral regimen, de-escalation, or escalation). De-escalation was defined as reducing the spectrum; escalation of the antibiotic regimen was described as introducing a new antibiotic or switching to a broad-spectrum antibacterial.
4.4. Statistical Analyses
Descriptive statistics such as frequency, mean and standard deviation were computed to describe the variables of the study. Differences in continuous variables such as duration of antimicrobial therapy were assessed with a two-sample t-test (and nonparametric t-test). Statistical analyses were performed using SPSS software version 29 (SPSS Inc., Chicago, IL, USA), values of p < 0.05 were considered statistically significant.
Patients were anonymized and thus made unidentifiable in the study.
5. Conclusions
We found a relatively high rate of misdiagnosed UTIs in this study, which provides further evidence for the fact that antimicrobial stewardship interventions for UTIs in hospital wards are crucial. These results also draw attention to the need for improvement of empirical prescribing by implementing of antibiotic stewardship program, and through this, limiting unnecessary combinations and optimizing the dosage. We believe that our findings may help to optimize diagnosis and antibiotic use in UTIs.
Author Contributions
Conceptualization, A.F., R.B., I.B. and E.P.; methodology, A.F., M.M., H.H., R.R. and B.T.; validation, M.M., B.T., Á.I. and R.B.; formal analysis, A.F., H.H., R.R., B.T., I.L. and M.M.; investigation, A.F., R.R., E.P. and R.B.; resources, Á.I., I.L. and I.B.; data curation, A.F.; writing—original draft preparation, A.F., E.P., B.T., R.R. and R.B.; writing—review and editing, A.F., R.B., E.P. and B.T.; visualization, A.F., B.T. and R.B.; supervision, Á.I. and R.B. All authors have read and agreed to the published version of the manuscript.
Funding
This work has been implemented with support provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed by ITM NKFIA TKP2021-EGA-32, and NKFI-143360. The project is co-financed by the European Union and the European Regional Development Fund by GINOP-2.3.4-15-2020-00008. The research was also supported by the Thematic Excellence Program (TKP2021-EGA-18) of the Ministry for Innovation and Technology in Hungary.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Data are available from the corresponding author upon reasonable request. The data are not publicly available due to due to privacy and ethical restrictions.
Acknowledgments
The staff of the Department of Internal Medicine at the Faculty of Medicine of the University of Debrecen Clinical Center, Hungary, are gratefully acknowledged.
Conflicts of Interest
The authors declare no conflict of interest.
Appendix A
Table A1.
Classification of UTIs in this study, risk factors, possible signs and symptoms, and diagnosis.
Table A1.
Classification of UTIs in this study, risk factors, possible signs and symptoms, and diagnosis.
| Types of UTIs | uc-Cystitis | uc-Pyelonephritis | cUTI without Pyelonephriti | cUTI with Pyelonephritis | Urosepsis |
|---|---|---|---|---|---|
| Risk Factors | |||||
| No known relevant anatomical and functional abnormalities within the urinary tract, indwelling urinary catheters, renal diseases, obstruction | ✓ | ✓ | |||
| No comorbidities 1 | ✓ | ✓ | |||
| Age (over 65 years old) | ✓ | ✓ | |||
| Pregnancy | ✓ | ✓ | |||
| Men | ✓ | ✓ | |||
| Known relevant anatomical and functional abnormalities within the urinary tract, indwelling urinary catheters, renal diseases, obstruction | ✓ | ✓ | ✓ | ||
| Comorbidities 1 | ✓ | ✓ | ✓ | ||
| Recent history of HAI 2 | ✓ | ✓ | ✓ | ||
| SIRS, life-threatening organ dysfunction 3 | ✓ | ||||
| Potential signs and symptoms | |||||
| Lower urinary tract: dysuria, frequency, urgency | ✓ | ✓ | ✓ | ✓ | |
| Absence of vaginal discharge or irritation | ✓ | ||||
| Fever (>38 °C) | ✓ | ✓ | ✓ | ✓ | |
| Hypothermia | ✓ | ||||
| Chills, suprapubic pain | ✓ | ✓ | ✓ | ||
| Chills, flank pain | ✓ | ||||
| Nausea, vomiting | ✓ | ✓ | ✓ | ||
| Costovertebral angle tenderness | ✓ | ✓ | ✓ | ||
| Bacteriuria, pyuria | ✓ | ✓ | ✓ | ||
| Tachycardia and tachypnoea | ✓ | ||||
| Differential diagnosis | |||||
| Imaging technique 4 | ✓ | ✓ | |||
| Laboratory diagnosis | |||||
| Urinalysis (assessment of white and red blood cells and nitrite) 5 | ✓ | ✓ | |||
| Urine culture and antimicrobial susceptibility testing 5 | ✓ | ✓ | ✓ | ✓ | |
| Blood culture | ✓ | ||||
| CBC (leukocytosis or leukopenia) | ✓ | ||||
| Rise in the level of PCT | ✓ | ||||
| Rise in the level of Serum lactate | ✓ | ||||
✓: the presence of the indicator in a certain UTI group. uc: uncomplicated; cUTI: complicated urinary tract infection; SIRS: systemic inflammatory response syndrome; CBC: complete blood count; PCT: procalcitonin. 1 concomitant immunocompromising diseases, e.g., diabetes. 2 HAI: healthcare-associated infections (e.g., isolated ESBL-producing organisms, isolated multi-drug resistant organisms). 3 Caused by a dysregulated host response to infection originating from the urinary tract and/or male genital organs. 4 Ultrasound (US): to rule out urinary tract obstruction or renal stone disease in patients with a history of urolithiasis, renal function disturbances or a high urine pH; contrast-enhanced computed tomography (CT) scan, or excretory urography: if the patient remains febrile after 72 h of treatment, or immediately if there is deterioration in clinical status; magnetic resonance imaging (MRI): to avoid radiation risk to the fetus. 5 In the case of uncomplicated cystitis, it only leads to a minimal increase in diagnostic accuracy; however, it is recommended in patients with atypical symptoms, as well as those who fail to respond to appropriate antimicrobial therapy. Renal insufficiency: dose adjustment is needed when glomerular filtration rate (GFR) is <20 mL/min, with the exception of antimicrobials with nephrotoxic potential (e.g., aminoglycosides).
Appendix B
Table A2.
Dosage assessment parameters.
| Antimicrobial Agent | Appropriate (Recommended) Dose | Recommended Dose Adjustment by SPC | Debatable Dose | Underdose/Overdose | |
|---|---|---|---|---|---|
| EAU UTI Guideline 1 | eGFR (mL/min) | Body Weight (kg) | |||
| Fosfomycin trometamol | oral 3 g SD | <10 | <50% deviation from the recommended dose and/or absence of loading dose | ≥50% deviation from the recommended dose and/or no dose adjustment in renal impairment and in extremes 2 for body weight | |
| Nitrofurantoin monohydrate | oral 100 mg b.i.d | ≤50 | |||
| Amoxicillin/clavulanic acid | oral 375 mg t.i.d | <10 | <50 kg | ||
| Amoxicillin/clavulanic acid | oral 625 mg t.i.d | <10 | <50 kg | ||
| Amoxicillin/clavulanic acid | iv 1.2 g t.i.d | <10 | <50 kg | ||
| Cefuroxim axetil | oral 500 mg b.i.d | <20 | |||
| Cefuroxim sodium | iv 0.75–1.5 g b.i.d-t.i.d | <20 | |||
| Trimethoprim/sulphametoxazole | oral 160/800 mg b.i.d | <30 | |||
| Ofloxacin | oral 200 mg b.i.d | <50 | |||
| Norfloxacin | oral 400 mg b.i.d | <20 | |||
| Ciprofloxacin | oral 500–750 mg b.i.d or iv 400 mg b.i.d | <30 | |||
| Levofloxacin | oral 750 mg q.d iv 500 mg q.d | <50 | |||
| Cefotaxime | iv 2 g t.i.d | <5 | |||
| Ceftriaxone | iv 1–2 g q.d | <10 | <50 kg | ||
| Cefepime | iv 1–2 g q.d | <50 | <40 kg | ||
| Piperacillin/tazobactam | iv 2.5–4.5 g t.i.d | <50 | |||
| Gentamicin | iv 5 mg/kg q.d | <40 | 5 mg/bodyweight | ||
| Amikacin | iv 15 mg/kg q.d | <70 | 5 mg/bodyweight | ||
| Imipenem/cilastatin | iv 0.5 g t.i.d | <70 | |||
| Meropenem | iv 1 g t.i.d | <50 | |||
EAU: European Association of Urology; UTI: urinary tract infection; SPC: summary of product characteristics; eGFR: estimated glomerular filtration rate (MDRD GFR equation); SD: single dose; b.i.d: twice daily; t.i.d: three times daily; q.d: every day; iv: intravenous(ly). 1 First empirical antibiotic is recommended to be given intravenously when the patient has cUTI requiring hospitalization. 2 Extreme body weights: low body weight defined by SPC, and extreme overweight ≥ 100 kg.
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Figure 1.
Flowchart for exclusion and inclusion criteria. * Other diseases including sepsis, surgical site infections, etc.; UTI: urinary tract infection; ICU: intensive care unit; RTIs: respiratory tract infections; GITi: gastrointestinal tract infections; **: other coinfections including decubitus, skin and soft tissue infections; CAUTI: catheter-associated urinary tract infection; US: urosepsis; ABU: asymptomatic bacteriuria.
Figure 1.
Flowchart for exclusion and inclusion criteria. * Other diseases including sepsis, surgical site infections, etc.; UTI: urinary tract infection; ICU: intensive care unit; RTIs: respiratory tract infections; GITi: gastrointestinal tract infections; **: other coinfections including decubitus, skin and soft tissue infections; CAUTI: catheter-associated urinary tract infection; US: urosepsis; ABU: asymptomatic bacteriuria.
Table 1.
Demographic and clinical characteristics of patients with UTI.
| Parameters | N | % |
|---|---|---|
| 185 | 100 | |
| Gender (female) | 125 | 67.6 |
| Age (years) (mean ± SD, range) | 71.87 ± 15.04 (21–101) | |
| 20–64 years | 52 | 28.1 |
| 65+ years | 133 | 71.9 |
| CCI (Charlson Comorbidity Index) (mean ± SD, range) | 4.71 ± 1.96 (0–11) | |
| 0 | 7 | 3.78 |
| 1 | 1 | 0.5 |
| 2 | 12 | 6.5 |
| 3 | 28 | 15.1 |
| 4 | 33 | 17.8 |
| >4 | 104 | 56.2 |
| Comorbidities | ||
| Cardiovascular disease * | 46 | 24.9 |
| Diabetes mellitus | 45 | 24.3 |
| Chronic kidney disease (moderate to severe) | 25 | 13.5 |
| Chronic liver disease (moderate to severe) | 24 | 13.0 |
| Hematological malignant diseases | 23 | 12.4 |
| Solid tumor | 18 | 9.7 |
| Localized | 16 | 8.6 |
| Metastatic | 2 | 1.1 |
| Dementia | 17 | 9.2 |
| Cerebrovascular accident or transient ischemic attack | 15 | 8.1 |
| Peptic ulcer disease | 14 | 7.6 |
| Chronic obstructive pulmonary disease | 8 | 4.3 |
| Peripheral vascular disease | 1 | 0.5 |
| Discharge types | ||
| Discharged home | 160 | 86.5 |
| Other hospital ward | 4 | 2.2 |
| ICU (intensive care unit) | 7 | 3.8 |
| LTCF (long-term care facility) | 1 | 0.5 |
| Outcome | ||
| In-hospital mortality | 13 | 7.0 |
| 30-day mortality | 17 | 9.2 |
SD: standard deviation; *: congestive heart failure, ischaemic heart diseases, or arrhythmias.
Table 2.
Comparison of diagnosis recorded at hospital admission and EAU diagnosis.
| Recorded Diagnosis | EAU-Confirmed Diagnosis |
|---|---|
| Total (n = 185), 100% | |
| Cystitis (n = 10), 5.4% | ucUTI (n = 3) cUTI (n = 5) ABU (n = 1) Misdiagnosis (n = 1) |
| Pyelonephritis (n = 9), 3.8% | ucUTI (n = 4) cUTI (n = 3) Misdiagnosis (n = 2) |
| Urosepsis (n = 18), 9.7% | ucUTI (n = 7) cUTI (n = 4) ABU (n = 2) Unconfirmed urosespsis (n = 5) |
| UTI (n = 148), 80.0% | ucUTI (n = 46) * cUTI (n = 36) ABU (n = 23) Misdiagnosis (n = 43) |
| Total: ucUTI (n = 60) *, 32.4% cUTI (n = 48), 25.9% ABU (n =26), 14.1% Unconfirmed urosepsis (n = 5), 2.7% Misdiagnosis (n = 46), 24.9% | |
EAU: European Association of Urology; ucUTI: uncomplicated urinary tract infection with pyelonephritis; cUTI: complicated urinary tract infection with pyelonephritis; ABU: asymptomatic bacteriuria; UTI: urinary tract infection; * one uncomplicated cystitis.
Table 3.
Most frequently isolated pathogen species in EAU-confirmed UTIs found in this study.
| Pathogens | ucUTI (Cystitis) N = 1 | ucUTI (Pyelonephritis) N = 59 (%) | cUTI (Pyelonephritis) N = 48 (%) | Total N = 108 (%) |
|---|---|---|---|---|
| Total urine cultures | - | 30 (50.8%) | 25 (52.1%) | 55 (50.9%) |
| Positive urine cultures | - | 23 (39.0%) | 20 (41.7%) | 43 (39.8%) |
| Contaminated sample | - | 2 (3.4%) | 1 (2.1%) | 3 (2.8%) |
| From positive urine cultures (%) | ||||
| More than one pathogen per sample | - | 6 (26.12%) | 2 (10.0%) | 8 (18.6%) |
| Esherchia coli | - | 10 (43.5%) | 9 (45.0%) | 19 (44.2%) |
| Klebsiella spp. | - | 4 (17.4%) | 2 (10.0%) | 6 (14.0%) |
| Other Enterobacteriaceae spp. | - | 4 (17.4%) | 1 (5.0%) | 5 (11.6%) |
| Enterococcus faecalis | - | 1 (4.3%) | 4 (20.0%) | 5 (11.6%) |
| Pseudomonas spp. | - | 1 (4.3%) | 3 (15.0%) | 4 (9.3%) |
| Proteus spp. | - | 1 (4.3%) | - | 1 (2.3%) |
| Streptococcus spp. | - | 1 (4.3%) | - | 1 (2.3%) |
| Candida spp. | - | 4 (17.4%) | 3 (15.0%) | 7 (16.3%) |
| MDR bacteria | - | 3 (13.0%) | - | 3 (7.0%) |
ucUTI: uncomplicated urinary tract infection; cUTI: complicated urinary tract infection; MDR: multidrug-resistant (MDR) (bacteria with acquired resistance to at least three antibiotic subgroups).
Table 4.
Characteristics of antibiotic therapies for EAU-confirmed UTIs.
| Parameters | N | % |
|---|---|---|
| 108 | 100 | |
| EAU guideline-adherent agent(s) | 49 | 45.4 |
| EAU guideline adherent agent(s) and route of administration | 49 | 45.4 |
| EAU guideline adherent agent(s), route of administration, and dose | 39 | 36.1 |
| EAU guideline adherent agent(s), route of administration, dose, and duration | 11 | 10.2 |
| Type of the first antibiotic therapy | ||
| Monotherapies | 82 | 75.9 |
| Combination therapies | 26 | 24.1 |
| Route of administration of the first antibiotic therapy | ||
| intravenous | 66 | 61.1 |
| oral | 42 | 38.9 |
| Dosage of the first antibiotic therapy for guideline adherent agent selection | ||
| appropriate | 39 | 36.1 |
| overdosed (compared to SPC due to lack of guideline recommended dose) | 0 | 0.0 |
| underdosed (compared to EAU guideline and due to body weight) | 10 | 9.3 |
| Duration of total antibiotic therapies (Mean ± SD, range) 6.59 ± 5.21 (1–35) | ||
| Total antibiotic exposure (Mean ± SD, DDD/patient) 9.84 ± 14.99 (0.50–72.47) | ||
| Number of consecutive antibiotic therapies | ||
| 1 | 69 | 63.9 |
| >1 (2–5) | 39 | 36.1 |
| Changes in the first empirical therapy | ||
| Sequential antibiotic therapy * | 7 | 6.5 |
| De-escalation | 6 | 5.6 |
| Escalation | 28 | 25.9 |
| No change | 67 | 62.0 |
EAU: European Association of Urology; iv: intravenously; SPC: summary of product characteristics; SD: standard deviation; * switch from an iv to oral regimen.
Table 5.
The distribution of first empirical antibiotic therapies (mono- and combination therapies) in EAU-confirmed UTIs.
Table 5.
The distribution of first empirical antibiotic therapies (mono- and combination therapies) in EAU-confirmed UTIs.
| Antibiotics | Route of Administration 4 | Doses/Day | Frequency (N) | Total % | EAU Guideline Adherence 4 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Guideline Adherence % | uc-Cystitis (n = 1) | uc-Pyelonephritis (n = 59) | cUTI without Pyelonephritis (n = 0) | cUTI with Pyelonephritis (n = 48) | Rosepsis (n = 0) | |||||
| Monotherapies (N = 82; 100%) | ||||||||||
| Fosfomycin trometamol | po | 3 g q.d | 1 | 1.2 | 0.0 | 1 | ||||
| Nitrofurantoin monohydrate | po | 100 mg b.i.d-t.i.d | 2 | 2.4 | 0.0 | 1 | 1 | |||
| Amoxicillin/clavulanic acid | po | 625 mg b.i.d-t.i.d | 12 | 14.6 | 11.0 | 1 | 9 | 2 | ||
| Amoxicillin/clavulanic acid | iv | 1.2 g b.i.d-t.i.d | 24 | 29.3 | 29.3 | 14 | 10 | |||
| Ceftibuten | po | - | 0 | 0.0 | 0.0 | |||||
| Cefuroxim axetil | po | - | 0 | 0.0 | 0.0 | |||||
| Cefuroxim sodium | iv | - | 0 | 0.0 | 0.0 | |||||
| Trimethoprim-sulphamethoxazole 1 | po | 400–800/80–160 mg b.i.d | 3 | 3.7 | 0.0 | 3 | ||||
| Ofloxacin | po | - | 0 | 0.0 | 0.0 | |||||
| Norfloxacin | po | 400 mg b.i.d | 3 | 3.7 | 1.2 | 1 | 2 | |||
| Ciprofloxacin 2 | po | 500 mg b.i.d | 12 | 14.6 | 14.6 | 7 | 5 | |||
| Ciprofloxacin 2 | iv | 400 mg b.i.d | 3 | 3.7 | 3.7 | 1 | 2 | |||
| Levofloxacin 2 | po | 500 mg q.d | 2 | 2.4 | 2.4 | 2 | ||||
| Levofloxacin 2 | iv | - | 0 | 0.0 | 0.0 | |||||
| Cefotaxime | iv | - | 0 | 0.0 | 0.0 | |||||
| Ceftriaxone | iv | 2 g q.d | 12 | 14.6 | 14.6 | 5 | 7 | |||
| Cefepime | iv | - | 0 | 0.0 | 0.0 | |||||
| Piperacillin/tazobactam | iv | - | 0 | 0.0 | 0.0 | |||||
| Imipenem/cilastatin | iv | - | 0 | 0.0 | 0.0 | |||||
| Meropenem | iv | 500 mg t.i.d- 1 g b.i.d | 4 | 4.9 | 2.4 | 2 | 2 | |||
| Clarithromycin | po | 500 mg b.i.d | 1 | 1.2 | 0.0 | 1 | ||||
| Gentamicin monotherapy | iv | 80–120 mg q.d | 2 | 2.4 | 0.0 | 2 | ||||
| Moxifloxacin | po | 400 mg q.d | 1 | 1.2 | 0.0 | 1 | ||||
| Combination therapies (N = 26; 100%) | ||||||||||
| Amoxicillin-clavulanic acid + amikacin/gentamicin 3 | iv | 1.2 g t.i.d + 80 mg b.i.d | 1 | 3.8 | 0.0 | 1 | ||||
| Ceftriaxone + amikacin/gentamicin 3 | iv | - | 0 | 0.0 | 0.0 | |||||
| Piperacillin/tazobactam + amikacin/gentamicin 3 | iv | - | 0 | 0.0 | 0.0 | |||||
| Meropenem + amikacin/gentamicin 3 | iv | - | 0 | 0.0 | 0.0 | |||||
| Imipenem-cilastatin + amikacin/gentamicin 3 | iv | - | 0 | 0.0 | 0.0 | |||||
| Amoxicillin-clavulanic acid + clarithromycin | iv | 1.2 g t.i.d + 500 mg b.i.d | 1 | 3.8 | 0.0 | 1 | ||||
| Amoxicillin-clavulanic acid + metronidazole | iv + po | 1.2 g b.i.d-t.i.d + 500 mg b.i.d | 4 | 15.4 | 0.0 | 1 | 3 | |||
| Amoxicillin-clavulanic acid + metronidazole | po | 625 mg b.i.d-t.i.d + 500 mg b.i.d | 2 | 7.7 | 0.0 | 2 | ||||
| Amoxicillin-clavulanic acid + Trimethoprim-sulphamethoxazole | iv + po | 1.2 g t.i.d + 400/80 mg b.i.d | 1 | 3.8 | 0.0 | 1 | ||||
| Ceftriaxone + metronidazole | iv | 2 g q.d + 250–500 mg b.i.d | 5 | 19.2 | 0.0 | 4 | 1 | |||
| Ceftriaxone + metronidazole | iv + po | 2 g q.d + 500 mg b.i.d | 2 | 7.7 | 0.0 | 2 | ||||
| Ceftriaxone + trimethoprim-sulphamethoxazole | iv + po | 500 mg b.i.d–2 g q.d + 400/80 mg b.i.d | 2 | 7.7 | 0.0 | 1 | 1 | |||
| Ciprofloxacin + metronidazole | po | 500 mg b.i.d + 500 mg b.i.d | 2 | 7.7 | 0.0 | 1 | 1 | |||
| Ciprofloxacin + moxifloxacin | iv + po | 500 mg b.i.d + 400 mg q.d | 1 | 3.8 | 0.0 | 1 | ||||
| Ciprofloxacin + tobramycin | iv | 500 mg b.i.d + 80 mg b.i.d | 1 | 3.8 | 0.0 | 1 | ||||
| Nitrofurantoin + metronidazole | po | 100 mg t.i.d + 500 mg b.i.d | 2 | 7.7 | 0.0 | 1 | 1 | |||
| Imipenem + metronidazole | iv + po | 1 g t.i.d + 500 mg b.i.d | 1 | 3.8 | 0.0 | 1 | ||||
| Tygecyclin + colomycin | iv | 400 mg q.d + 1 IU t.i.d | 1 | 3.8 | 0.0 | 1 | ||||
Green color: First-line guideline-adherent treatment, Orange color: Second-line guideline treatment (in case of failure of initial therapy within 1–3 days), No Color: Guideline-non-adherent treatment. UTIs: urinary tract infections; EAU: European Association of Urology; uc: uncomplicated; cUTI: complicated urinary tract infection; iv: intravenous; po: per oral. 1 When trimethoprim-sulphamethoxazole resistance is less than 20%. 2 Considering fluoroquinolone local resistance and patients risk factors. 3 In combination with other antimicrobials (e.g., amino- and acylaminopenicillin with beta lactamase inhibitor, cephalosporins, carbapenems). 4 Patients with systemic symptoms requiring hospitalization should be initially treated with an intravenous antimicrobial regimen; b.i.d: twice daily; t.i.d: three times daily; q.d: every day.
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Fésüs, A.; Matuz, M.; Papfalvi, E.; Hambalek, H.; Ruzsa, R.; Tánczos, B.; Bácskay, I.; Lekli, I.; Illés, Á.; Benkő, R. Evaluation of the Diagnosis and Antibiotic Prescription Pattern in Patients Hospitalized with Urinary Tract Infections: Single-Center Study from a University-Affiliated Hospital. Antibiotics 2023, 12, 1689. https://doi.org/10.3390/antibiotics12121689
AMA Style
Fésüs A, Matuz M, Papfalvi E, Hambalek H, Ruzsa R, Tánczos B, Bácskay I, Lekli I, Illés Á, Benkő R. Evaluation of the Diagnosis and Antibiotic Prescription Pattern in Patients Hospitalized with Urinary Tract Infections: Single-Center Study from a University-Affiliated Hospital. Antibiotics. 2023; 12(12):1689. https://doi.org/10.3390/antibiotics12121689
Chicago/Turabian StyleFésüs, Adina, Mária Matuz, Erika Papfalvi, Helga Hambalek, Roxána Ruzsa, Bence Tánczos, Ildikó Bácskay, István Lekli, Árpád Illés, and Ria Benkő. 2023. "Evaluation of the Diagnosis and Antibiotic Prescription Pattern in Patients Hospitalized with Urinary Tract Infections: Single-Center Study from a University-Affiliated Hospital" Antibiotics 12, no. 12: 1689. https://doi.org/10.3390/antibiotics12121689
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