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. 2010 May 28;107(21):361–367. doi: 10.3238/arztebl.2010.0361

The Diagnosis of Urinary Tract Infection

A Systematic Review

Guido Schmiemann 1,*, Eberhardt Kniehl 2, Klaus Gebhardt 4, Martha M Matejczyk 3, Eva Hummers-Pradier 1
PMCID: PMC2883276  PMID: 20539810

Abstract

Background

Urinary tract infections (UTI) are among the leading reasons for treatment in adult primary care medicine, accounting for a considerable percentage of antibiotic prescriptions. Because this problem is so common and so significant in routine clinical practice, a high level of diagnostic accuracy is essential. Antibiotics should not be prescribed excessively, particularly in view of the increasing prevalence of antibiotic resistance.

Method

Systematic review of relevant articles that were retrieved by a search of the Medline, Embase, and Cochrane Library databases. The recommendations of selected international guidelines were also taken into account, as were the German national quality standards for microbiological diagnosis.

Results

The diagnosis of UTI by clinical criteria alone has an error rate of approximately 33%. The use of refined diagnostic algorithms does not completely eliminate uncertainty.

Conclusion

With the aid of a small number of additional diagnostic criteria, antibiotic treatment for UTI can be provided more specifically and thus more effectively. Differentiating UTI from asymptomatic bacteriuria, which usually requires no treatment, can lower the frequency of unnecessary antibiotic prescriptions.


Infections of the lower urinary tract (acute cystitis) are one of the most frequent diseases in primary medical care which are treated with antibiotics. Urinary tract infections (UTI) are responsible for 1% to 3% of all consultations in Great Britain (1). The prevalence is highly dependent on age and gender (figure). If a female patient presents to a primary care practice with the typical symptoms, the probability is 50% to 80% that she has an infection of the urinary tract (table 1).

Figure.

Figure

Prevalence of infections of the urinary tract in primary care (authors’ illustration; data taken from e16)

Table 1. Diagnostic testing with dip sticks.

Source Bacterial count cfu/mL Prevalence n Test Sens % Spec % PPV % NPV % LR + LR – Comments
McIsaac (15) >102 63% 331 Ni 36 89 85 45 3.4 0.7 10% with discharge
Le 84 45 72 63 1.5 0.35
Grude 2005 (e11) >104 76% 184 Le 94 9 86 20 1.0 0.6
Ni 57 78 94 23 2.6 0.5
Winkens (24) > 105 62 % 268 Ni 42 95 93 50 8.4 0.6 17% men
Verest 2000 (e12) > 105 58 % 292 Le 88 37 63 71 1.4 0.3
Ni 53 95 93 59 10.6 0.5
Ni +Le neg 81
Deville (e13) k.A k.A Ni 53 88 4.4
  • Metaanalysis of subgroup “General Practice”, no differentiation by sex

Le 87 36 1.3
Ni + Le pos 90 65 2.5
Heckerling 2007 (e9) >105 26 % 212 Ni 1.5
  • With diagnostic definition of >102 bacteria, prevalence rises to 55%

Le 1.5
Semeniuk 1999 (e14) > 104 19 % 479 Ni 43 97 75 88 14 Inclusion criteria unclear
Le 84 59 19 97 2
Ni + Le pos 84 98 84 98 42
Little (8) > 103 62.5 % 427 Blut 93 34 70 73 1.4 0.22 Presence of vaginal discharge led to exclusion
Le 89 52 75 72 2.58 0.33
Ni + Le pos 26 97 93 44 8.0 0.77
Hummers-Pradier (20) > 102 77 % 445 Ni 39 88 92 29 3.3 0.7 Complicated UTI excluded
Le 72 46 83 31 1.3 0.6
Ni +Le pos 35 88 91 27 2.9 0.7

Overview of studies for the diagnosis of a urinary tract infection; inclusion criteria: primary care setting; reason for consultation: women with symptoms when passing water; comparison with urine culture as gold standard; sens, sensitivity; spec, specificity; PPV, positive predictive value; NPV, negative predictive value; LR, likelihood ratio; Le, leukocyte esterase; Ni, nitrite. Missing values are either not given in the sources or cannot be calculated from the available data.

The guideline recommendations for the antibiotic treatment of infections of the urinary tract are often not implemented in practice. National and international recommendations warn against the broad and uncritical use of fluoroquinolones for uncomplicated infections (2, 3). The numbers of prescriptions show how widely these recommendations are ignored in practice (4). These prescription practices have led to increasing resistance and endanger the use of fluoroquinolones in severe infections (5). Nitrofurantoin is a possible alternative, but is hardly prescribed, as the German recommendation for its use is very restricted in comparison to other countries: “Nitrofurantoin may only be administered when more effective and safer antibiotics or chemotherapy agents cannot be used” [translated from the German Summary of Product Characteristics for Nitrofurantoin, www.fachinfo.de]. The use of amoxicillin and (to some extent) of trimethoprim is restricted by the marked increase in the number of resistant pathogens. In this context, it has become ever more important that antibiotics should be used rationally and specifically in the treatment of UTI.

The vast majority of cases of urinary tract infection in outpatients are uncomplicated. It is assumed that UTI is complicated when there are risk factors for a severe clinical course or for secondary harms (box).

Box. Complicated infections of the urinary tract (3).

  • All infections of the urinary tract in children, men and pregnant women

  • Special functional or anatomical features

  • Immune suppressed patients

  • Urological or renal disease, kidney stones

  • Status after laying a urine catheter, discharge from an inpatient facility within the previous two weeks

However, some of the factors which have been described as leading to complicated disease are of doubtful significance. There are special recommendations for complicated UTI, as greater diagnostic accuracy and different therapeutic strategies are necessary.

The present article presents the most important diagnostic procedures, together with their role in establishing the diagnosis. This should increase diagnostic accuracy and allow specific use of antibiotic therapy.

Definition

The gold standard for the diagnosis of a urinary tract infection is the detection of the pathogen in the presence of clinical symptoms. The pathogen is detected and identified by urine culture (using midstream urine). This also allows an estimate of the level of the bacteriuria. However, the minimum level of bacteriuria demonstrating an infection of the urinary tract has not been defined in scientific literature or standardized by microbiological laboratories. Many laboratories define 105 colony forming units (cfu)/mL urine as the threshold. However, this threshold misses many relevant infections. There are therefore other recommendations (2, 5) that recommend the diagnosis of UTI from a count of 103 cfu/mL, depending on the types of bacteria detected.

Definition of asymptomatic bacteriuria

Asymptomatic bacteriuria (ABU) is present if a patient does not exhibit the clinical signs of UTI and the upper limit of ≥ 105 cfu/mL is exceeded in two consecutive properly collected samples of midstream urine (from women). A single detection is adequate for men. Screening and treatment of asymptomatic bacteriuria is only necessary in exceptional cases (22), for example, in pregnant women or before a urological operation.

Methods

All relevant articles in German and English published after the DEGAM (Deutsche Gesellschaft für Allgemeinmedizin und Familienmedizin, German College of General Practitioners and Family Physicians) guideline on “Dysuria” (including a systematic review) in January 1999 were retrieved from the databases of Medline, Embase, CCMed and the Cochrane Database of Systematic Reviews (January 1999 to July 2007). The following keywords were used (each with the AND connection):

  • urinary tract infections general practice

  • urinary tract infections primary care

  • diagnosis urinary tract infections general practice

  • diagnosis urinary tract infections primary care

  • urinalysis nitrites leukocytes esterases

  • cystitis general practice

  • cystitis primary medical care

  • urine primary care

  • antibiotic resistance urinary tract infections

  • epidemiology urinary tract infections

  • guidelines general practice urinary

  • guidelines primary care urinary

  • urine general practice

  • urinary tract infections pregnancy.

For the present article, the search was updated to July 2009 in Medline, CCMed and the Cochrane database. Within this period, the authors only specifically searched for studies on diagnostic testing. The algorithm was: (urin* tract infection or cystitis) AND (sensitiv*[Title/Abstract] OR sensitivity and specificity[MeSH terms] OR diagnos*[Title/Abstract] OR diagnosis[MeSH:noexp] OR diagnostic*[MeSH:noexp] OR diagnosis,differential[MeSH:noexp] OR diagnosis [subheading:noexp]). In the Cochrane database, the search term MeSH descriptor Urinary Tract Infections was used. The search included clinical studies, guidelines, and review articles or meta-analyses, containing information about symptom evaluation, urine collection or diagnostic precision.

The reference lists of the articles found were examined for additional relevant studies. Individual authors were contacted for missing data. The guidelines of the relevant medical societies and the “Microbiological Quality Standards for Infectious Diseases (MIQ)” (6) and the results of expert discussions within the S3 guideline group on “Infections of the Urinary Tract” were also considered.

Results

The literature search for the guideline found 3993 articles in Medline and 483 articles in the Cochrane database. These were not differentiated by category. We included a total of 89 articles on diagnostic testing. The update found 263 articles in Pubmed and 16 of these were included. The remaining articles were excluded, either because the theme was not appropriate (n = 238), or because of a different setting or patient group (n = 9). No current articles on diagnostic testing were found in the Cochrane database.

Medical history

The clinical diagnosis of an infection of the urinary tract is essentially based on the medical history. Specific data may either increase the probability of an infection of the urinary tract (↑) or decrease it (↓). The following factors have been established from clinical studies (7, 8):

  • Dysuria, pollakisuria, nycturia (↑)

  • Present or increased incontinence (↑)

  • Macrohematuria (↑)

  • Suprapubic pain (↑)

  • “Offensive” smell, turbid urine (↑)

  • Prior infections of the urinary tract (↑)

  • Changed or new discharge, vaginal irritation (↓).

In addition, risk factors are known which increase the probability of UTI. These include:

  • Sexual intercourse within the preceding two weeks (9)

  • Contraception with a vaginal diaphragm or spermicide (10)

  • Contraception with DMPA (depot medroxyprogesterone acetate) (11)

  • Antibiotic administration within the preceding two to four weeks (12)

  • Special anatomical features or restrictions (for example, from vesicoureteral reflux, neuropathic bladder, mechanical or functional obstruction) (13)

  • Diabetes mellitus (14).

Urine testing

Urine testing is the second important element in diagnostic testing.

Urine collection

Several studies have dealt with the necessity of collecting midstream urine and of cleaning the perineum and vulva or glans penis (3, e5, e6). However, these were mostly with fairly young and otherwise healthy women, so it is not clear whether they can be transferred to normal clinical practice. A pragmatic solution would be to make the method of urine collection dependent on the clinical problem. For an initial urine investigation with a dip stick, fresh spontaneous urine can be taken rather than midstream urine and it is unnecessary to clean the genitals. On the other hand, additional studies and urine culture require that the urine sample should be collected and processed with as little contamination as possible.

Practical test methods

The gold standard for a urine test is to perform a bacteriological urine culture, with identification of the pathogen, with quantification and sensitivity testing. To test whether the patient has a UTI at all, orientating indirect methods are often used in practice to detect the bacteria or inflammation (dip sticks). The bacterial count may be assessed by urine microscopy and immersion culture media.

Dip sticks

Urine dip sticks are one of the most frequently used instruments for diagnostic testing if there is clinical evidence that a patient is suffering from UTI. Multistix are most often used, which may be able to detect nitrite (a metabolic product of typical pathogens of the urinary tract), leukocyte esterase, protein and blood (as a marker of inflammation).

If nitrite is detected, this increases the probability of a urinary tract infection, with a likelihood ratio [LR] of 2.6 to 10.6. However, the sensitivity is relatively low. In contrast, the detection of leukocyte esterase increases the probability to a lesser degree (LR 1.0 to 2.6). The detection of blood is admittedly highly sensitive, but the specificity is low. Study data are inconsistent about the value of protein detection in confirming UTI. Table 1 summarizes the sensitivity and specificity of dip sticks.

Urine microscopy

Due to methodological limitations the sensitivity in detecting UTI with <105 cfu/mL by gram stained microscopy is low. Some studies have found that experienced workers can achieve better diagnostic precision than with urine culture. However, the available studies on microscopy are heterogenous and all review articles conclude that it is difficult to make general statements (23).

Immersion culture media

These immersion tests use a plastic rod coated with culture medium—mostly a combination of CLED agar and MacConkey agar. They require 24 h culture. The values for sensitivity and specificity obtained in the laboratory cannot be reproduced under the conditions of primary care (24). In the primary care setting, the sensitivity was found to be 73% (95% confidence interval [CI] 66–80) and the specificity 94% (CI 88–98). If a female patient has previously had a negative nitrite test, the sensitivity is reduced to 65% (CI 55–74), with virtually the same specificity (CI 90–99). This procedure does not permit the reliable detection of <104 cfu/mL (6).

Use of diagnostic algorithms

Clinical algorithms have been developed and tested, in an attempt to increase diagnostic precision, and thus to allow more specific use of calculated antibiotic treatment. However, it has not yet been possible to compare these algorithms directly, as they employ different reference methods (threshold bacterial counts) (table 2). A UTI with a low bacterial count is most reliably detected with the algorithm used by McIsaac (15):

Table 2. Various algorithms to improve diagnostic testing for uncomplicated cystitis.

Source Bacterial count cfu/mL Prevalence Algorithm Sensitivity Specificity (95% confidence interval) Comment
Heckerling 2007 (e9) ≥105 26%
  • Frequent urinary urgency

  • Foul smell to urine

  • Positive dip stick for leukocyte esterase

  • Microscopic detection of bacteria and epithelia

Sens: 0.82 (0.69–0.91)
Spec: 0.74 (0.67–0.81)
Heckerling 2007 (e9) ≥102 55%
  • Dysuria

  • Symptoms for less than 3 days

  • No diabetes

  • Microscopic detection of erythrocytes and bacteria

No information on sensitivity or specificity
ROC=0.792
(95%CI: 0.726–0.858)
McIsaac (15) ≥102 63%
  • Discomfort or burning sensation when passing water

  • Detection of leukocytes (more than a trace)

  • Any detection of nitrite

  • Positive when two or more criteria fulfilled

Sens: 80.3% (74.2–85.5)
Spec: 53.7% (44.4–62.7)
Winkens (24) ≥105 62% Use of immersion culture after prior negative nitrite test Read after 24 h Sens: 64.9% (ND)
Spec: 94.8% (ND)
Little (8) ≥103 62.5%
  • Dysuria

  • Nycturia

  • “Offensive” smell

  • Turbid urine

  • Nitrite positive

  • Blood and leukocytes positive

  • Positive when two or more criteria fulfilled

Sens: 65% (58.7–70.5)
Spec: 69% (61.5–76.1)
Little (8) ≥103 62.5% Detection of nitrite or blood and leukocytes with dip sticks Sens: 77% (72.0–82.4) 75% of patients were correctly classified with this rule
Spec: 70% (62.9–77.3)
McIsaac 2002 (e10) ≥104 53%
  • Symptoms for a day

  • Dysuria

  • Detection of leukocytes or nitrite

Sens: 81.3% (ND)
Spec: 64.5% (ND)

ROC, receiver operating characteristics, ND = no data; sens, sensitivity; spec, specificity

  • Burning sensation or discomfort when passing urine

  • Detection of leukocytes

  • Any detection of nitrite.

The diagnostic criterion is then the presence of at least two test criteria (sensitivity 80%, specificity 54%). Additional urine microscopy only slightly improves the probability of detection.

However, the specificity of this algorithm is low, so that it gives a high rate of false positives. This means that it fails to give a reduction in the number of unnecessary prescriptions of antibiotics. As an alternative, the following point system may be used:

  • Nitrite positive = 2

  • Leukocytes positive = 1.5

  • Hematuria = 1

  • Moderately severe dysuria = 1

  • Moderately severe nocturia = 0.5

This gives sensitivity of 76% and specificity of 74% (16).

Diagnostic testing in special patient groups

For the (relatively frequent) case of uncomplicated UTI, it is usually sufficient to diagnose UTI solely on the basis of these indirect test methods. For all therapy-resistant and complicated infections of the urinary tract (box), an attempt should generally be made to perform a urine culture to detect the causative organisms and their antimicrobial susceptibility (2, 5).

Pregnant women

Treatment of asymptomatic bacteriuria (ABU) in pregnant women decreases the occurrence of pyelonephritis (number needed to treat [NNT] = 7) (25) and possibly also damage to the child (e7, e8). However, the dip stick used in current antenatal care testing is rather insensitive. If immersion culture media were generally used, this would give a detection rate for asymptomatic bacteriuria comparable to that with urine culture (e15). There are however no unambiguous published data about the best time to perform such a urine test (17, 18).

Female geriatric patients

The prevalence of asymptomatic bacteriuria markedly increases in this group. Thus, the prevalence in residents of homes for the elderly is 25% to 50%, even rising to 100% in catheterized patients. In the latter group, neither dip sticks nor urine culture is useful in confirming the clinical diagnosis of UTI. Only a negative urine culture can exclude an infection. An American consensus conference (19) has drafted special diagnostic criteria for this group, which have led to a reduction in antibiotic prescriptions in nursing homes.

Female patients with diabetes mellitus

Female patients with medically treated diabetes frequently exhibit a urinary tract infection or ABU. The spectrum of bacteria and resistance rates are not distinct in this group (14, e1). It is therefore reasonable to question the current practice of assigning this group to the complicated urinary tract infections.

Men

Urinary tract infections in men are still regarded as complicated urinary tract infections. As testing with dip sticks is imprecise in this group, it is recommended that urine culture should be performed to confirm the diagnosis. Unfortunately, hardly any therapeutic or diagnostic studies have been performed for men (e2).

Discussion

Sensitivity based on a typical history is between 50% and 80% (7, 20). Immediate therapy, without additional diagnostic testing, is thus an enticing option and is quite conventional in many countries.

This approach implies maximal sensitivity—all cases of UTI are treated, but many false positives are accepted. Bearing in mind the increasing development of resistance, it must be called into question.

Absolute diagnostic reliability and maximally specific therapy would only be achieved if the gold standard—urine culture—was generally used. This approach would require considerable additional effort, but would be capable of greatly reducing the rate of antibiotic prescriptions. On the other hand, this would delay specific antibiotic therapy. One current demand is for empirical therapy, together with preparation of a urine culture at the same time. This is an additional possibility, at least in some situations—such as in nursing homes (21). A current study is to evaluate the factors influencing the different diagnostic steps and this may lead to improvements in the current algorithms (e3).

If a decision is to be made between these two strategies, it would have to be based on a variety of different factors, only some of which are measurable with specified criteria. Subjective ascription of importance and personal feelings are just as important:

  • Morbidity and mortality: How severe is the disease from the points of view of the physician and patient? If antibiotics are not used for treating uncomplicated UTI, the course of the disease will not be more severe. Although pyelonephritis is often dreaded, its incidence is not significantly greater if the treatment is only with placebo. However, antibiotic treatment can significantly reduce the duration of the symptoms, by as long as two days (e4). On the other hand, asymptomatic bacteriuria need only be treated in exceptional cases.

  • The wishes of the patient: The wishes of the patient and the physician are often different. The physician must establish what the patient wants and must consider this when deciding on the therapy.

  • Infrastructure: Potentially more precise tests (such as microscopy) are not available in most primary care practices. It is also essential that the physician has the appropriate experience.

Because of the increased development of resistance, new strategies are needed for the treatment of infections of the urinary tract. Diagnostic algorithms can help to make the use of antibiotics more specific.

Key Messages.

  • Infections of the urinary tract are one of the most frequent reasons for treatment in primary medical care.

  • Diagnosis solely based on clinical symptoms is often wrong.

  • Asymptomatic bacteriuria only requires treatment in exceptional cases.

  • Diagnostic precision can be increased by using dip sticks and clinical algorithms.

Acknowledgments

Translated from the original German by Rodney A. Yeates, M.A., Ph.D.

Footnotes

Conflict of interest statement

The authors declare that no conflict of interest exists according to the guidelines of the International Committee of Medical Journal Editors.

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