| Literature DB >> 26213991 |
Chih-Yen Hsiao1, Huang-Yu Yang2, Meng-Chang Hsiao3, Peir-Haur Hung4, Ming-Cheng Wang5.
Abstract
Acute kidney injury (AKI) is associated with high morbidity and mortality. Urinary tract infection (UTI) may be associated with sepsis or septic shock, and cause sudden deterioration of renal function. This study investigated the clinical characteristics and change of renal function to identify the risk factors for development of AKI in UTI patients. This retrospective study was conducted in a tertiary referral center. From January 2006 to January 2013, a total of 790 UTI patients necessitating hospital admission were included for final analysis. Their demographic and clinical characteristics and comorbidities were collected and compared. Multivariate logistic regression analysis was performed to evaluate the risk factors for AKI in UTI patients. There were 97 (12.3%) patients developing AKI during hospitalization. Multivariate logistic regression analysis showed that patients with older age (OR 1.02, 95% CI 1.00-1.04, P = 0.04), diabetes mellitus (DM) (OR 2.23, 95% CI 1.35-3.68, P = 0002), upper UTI (OR 2.63, 95% CI 1.53-4.56, P = 0001), afebrile during hospitalization (OR 1.71, 95% CI 1.04-2.83, P = 0036) and lower baseline eGFR [baseline eGFR 45-59 mL/min/1.73 m2 (OR 2.12, 95% CI 1.12-4.04, P = 0.022), baseline eGFR 30-44 mL/min/1.73 m2 (OR 4.44, 95% CI 2.30-8.60 P < 0.001) baseline eGFR < 30 mL/min/1.73 m2 (OR 4.72, 95% CI 2.13-10.45, P <0.001), respectively] were associated with increased risk for development of AKI. were associated with increased risk for development of AKI. Physicians should pay attention to UTI patients at risk of AKI (advancing age, DM, upper UTI, afebrile, and impaired baseline renal function).Entities:
Mesh:
Year: 2015 PMID: 26213991 PMCID: PMC4516244 DOI: 10.1371/journal.pone.0133835
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Rectangle below: patients included for analyses.
Characteristics of the 790 patients with urinary tract infection.
| Characteristic | All (n = 790) | Acute kidney injury |
| |
|---|---|---|---|---|
| Yes (n = 97) | No (n = 693) | |||
| Age (year) | 65 ± 18 | 72 ± 13 | 64 ± 19 | <0.001 |
| Gender (female) | 543 (68.7) | 72 (74.2) | 471 (68.0) | 0.213 |
| Systolic blood pressure (mmHg) | 135 ± 30 | 127 ± 33 | 137 ± 30 | 0.006 |
| Diastolic blood pressure (mmHg) | 75.82 ± 15.8 | 70 ± 17 | 77 ± 15 | <0.001 |
| Diabetes mellitus | 302 (38.2) | 55 (56.7) | 247 (35.6) | <0.001 |
| Hypertension | 335 (42.4) | 53 (54.6) | 282 (40.7) | 0.009 |
| Congestive heart failure | 29 (3.7) | 5 (5.2) | 24 (3.5) | 0.387 |
| Coronary artery disease | 55 (7.0) | 10 (10.3) | 45 (6.5) | 0.167 |
| Stroke | 178 (22.5) | 21 (21.6) | 157 (22.7) | 0.824 |
| Malignancy | 92 (11.6) | 16 (16.5) | 76 (11.0) | 0.112 |
| Indwelling foley catheter | 54 (6.8) | 8 (8.2) | 46 (6.6) | 0.556 |
| Afebrile | 369 (46.7) | 58 (59.8) | 311 (44.9) | 0.006 |
| Upper urinary tract infection | 291 (36.8) | 45 (46.4) | 246 (35.5) | 0.037 |
| Bacteremia | 236 (29.9) | 38 (39.2) | 198 (28.6) | 0.033 |
| Septic shock | 90 (11.4) | 22 (22.7) | 68 (9.8) | <0.001 |
| Hospitalized serum creatinine (mg/dL) | 1.57 ± 1.30 | 3.37 ± 1.96 | 1.32 ± 0.94 | <0.001 |
| Baseline eGFR (mL/min/1.73 m2) | 70 ± 28 | 53 ± 23 | 72 ± 27 | <0.001 |
| Baseline renal function (eGFR) | <0.001 | |||
| ≥ 60 mL/min/1.73m2 | 497 (62.9) | 32 (33.0) | 465 (67.1) | |
| 45–59 mL/min/1.73m2 | 132 (16.7) | 23 (23.7) | 109 (15.7) | |
| 30–44 mL/min/1.73m2 | 103 (13.0) | 27 (27.8) | 76 (11.0) | |
| < 30 mL/min/1.73m2 | 58 (7.3) | 15 (15.5) | 43 (6.2) | |
| Nephrotoxic agents | 526 (66.6) | 46 (47.4) | 480 (69.3) | <0.001 |
| Aminoglycosides | 290 (36.8) | 16 (16.3) | 274 (39.7) | <0.001 |
| Nonsteroidal anti-inflammatory drugs | 392 (49.6) | 36 (36.7) | 356 (51.4) | 0.006 |
| Contrast media | 99 (12.5) | 16 (16.3) | 83 (12.0) | 0.225 |
| Trimethoprim/sulfamethoxazole | 21 (2.7) | 4 (4.1) | 17 (2.5) | 0.317 |
| Antihypertensive agents | 429 (54.3) | 66 (68.0) | 363 (52.4) | 0.004 |
Data are expressed as mean ± SD or number (percentage)
Multivairate logistic regression model for factors related to acute kidney injury.
| Covariate |
| OR (95% CI) |
|
|---|---|---|---|
| Age (year) | 0021 | 1.02 (1.00–1.04) | 0040 |
| Gender (female) | 0280 | 1.32 (0.77–2.27) | 0307 |
| Systolic blood pressure (mmHg) | -0010 | 0.99 (0.98–1.00) | 0079 |
| Diastolic blood pressure (mmHg) | -0015 | 0.99 (0.96–1.01) | 0165 |
| Diabetes mellitus | 0801 | 2.23 (1.35–3.68) | 0002 |
| Hypertension | 0172 | 1.19 (0.71–1.99) | 0515 |
| Congestive heart failure | -0397 | 0.67 (0.20–2.21) | 0513 |
| Coronary artery disease | -0033 | 0.97 (0.42–2.21) | 0937 |
| Stroke | -0216 | 0.81 (0.44–1.49) | 0490 |
| Malignancy | 0325 | 1.38 (0.71–2.68) | 0337 |
| Indwelling foley catheter | 0294 | 1.34 (0.56–3.23) | 0513 |
| Afebrile | 0538 | 1.71 (1.04–2.83) | 0036 |
| Upper urinary tract infection | 0970 | 2.63 (1.53–4.56) | 0001 |
| Septic shock | 0552 | 1.74 (0.89–3.38) | 0104 |
| Baseline eGFR group | |||
| 45–59 versus 60 ml/min/1.73 m2 | 0.753 | 2.12 (1.12–4.04) | 0.022 |
| 30–44 versus 60 ml/min/1.73 m2 | 1.491 | 4.44 (2.30–8.60) | <0.001 |
| < 30 versus 60 ml/min/1.73 m2 | 1.552 | 4.72 (2.13–10.45) | <0.001 |
Fig 2Multivariate analysis of associations between eGFR and acute kidney injury.
aN = 790. bMultivariate model adjusted for gender, diabetes mellitus, hypertension, congestive heart failure, coronary artery disease, stroke, malignancy, indwelling foley catheter, afebrile, upper UTI, septic shock, baseline eGFR group.