| Literature DB >> 30595869 |
Oana Mariana Cristea1, Carmen Silvia Avrămescu1, Maria Bălășoiu1, F D Popescu2, Florica Popescu3, M O Amzoiu4.
Abstract
Study Motivation: After assessing electronic databases of medical scientific literature, we have observed that the interrelation between urinary tract infections (UTIs) and chronic kidney disease (CKD) is poorly studied, especially when UTIs are caused by Klebsiella pneumoniae (K. pneumoniae).Entities:
Keywords: Klebsiella pneumoniae; antibiotics; chronic kidney disease (CKD); multiresistance; susceptibility; urinary tract infection (UTI)
Year: 2017 PMID: 30595869 PMCID: PMC6284181 DOI: 10.12865/CHSJ.43.02.06
Source DB: PubMed Journal: Curr Health Sci J
Distribution of patients without UTI during July-December 2010 and 2016
| Without UTI patients | Month of patient without UTI hospital admission (n) | ||||||
| Total | July | August | September | October | November | December | |
| Females without UTI 2010 | 151 | 20 | 17 | 25 | 30 | 27 | 32 |
| Males without UTI 2010 | 169 | 27 | 26 | 32 | 26 | 27 | 31 |
| Total without UTI 2010 | 320 | 47 | 43 | 57 | 56 | 54 | 63 |
| Females without UTI 2016 | 118 | 17 | 14 | 26 | 14 | 31 | 16 |
| Males without UTI 2016 | 108 | 21 | 13 | 18 | 16 | 32 | 8 |
| Total without UTI 2016 | 226 | 38 | 27 | 42 | 30 | 63 | 24 |
Distribution of patients with Klebsiella pneumonia UTI and UTIs (total) during July-December 2010 and 2016
| Urine culture | Total (n) | Month of patient with UTI hospital admission (n) | |||||
| July | August | September | Octomber | November | December | ||
| Urine culture Klebsiella 2010 | F (2) | 0 | 0 | 0 | 1 | 1 | 0 |
| M (10) | 2 | 4 | 0 | 1 | 3 | ||
| Urine culture Klebsiella 2010 - total | 12 | 2 | 4 | 0 | 2 | 4 | 0 |
| Urine culture Klebsiella 2016 | F (7) | 0 | 2 | 3 | 1 | 0 | 1 |
| M (8) | 2 | 2 | 3 | 1 | 0 | 0 | |
| Urine culture Klebsiella 2016 -total | 15 | 2 | 4 | 6 | 2 | 0 | 1 |
| Total uropathogenic germs 2010 | 37 | 6 | 9 | 7 | 6 | 8 | 1 |
| Total uropathogenic germs 2016 | 46 | 7 | 8 | 13 | 5 | 8 | 5 |
Distribution of UTI and CKD patients according to age group
| Age Distribution | ||||||||
| Age groups (years) | <=25 | 26 - 35 | 36 - 45 | 46 - 55 | 56 - 65 | 66 - 75 | >75 | Min and max ages. |
| Number of patients with UTI 2016 | 1 (2.17%) | 0 (0%) | 1 (2.17%) | 3 (6.52%) | 15 (32.60%) | 14 (30.44%) | 12 (26.08%) | (min. 21 ages) (max.83 ages) |
| Number of patients with Klebsiella UTI 2016 | 0 (0%) | 0 (0%) | 0 (0%) | 1 (7.14%) (50 ages) | 3 (20.14%) +1 patient without CKD (7.14%) | 4 (28.57%) | 6 (42.85%) | (min.50 ages) (max. 82 ages) |
Susceptibility patterns for Klebsiella pneumoniae isolated from urine samples of CKD patients (N-number, %)
| Classes of antibiotics | Antibiotic used | Codes | Disks (μg) | Isolates (N) | Resistant N (%) | Intermediate N (%) | Susceptible N (%) |
| Beta-lactams | |||||||
| Beta-lactam + beta-lacatamase inhibitors | Amoxicillin+ Clavulanic acid | AMC | 20/10 | 4 | 3 (75) | 0 (0) | 1 (25) |
| Piperacillin+ Tazobactam | TPZ | 100/10 | 14 | 4 (28.57) | 3 (21.43) | 7 (50) | |
| Cefoperazone +sulbactam | CES | 75/30 | 7 | 0 (0) | 1 (14.29) | 6 (85,71) | |
| Cephalosporins | Cefazolin 1rd generation | CZ | 30 | 14 | 10 (71.4) | 3 (21.43) | 1 (7,14) |
| Cefuroxime 2rd generation | CXM | 30 | 4 | 3 (75) | 1 (25) | 0 (0) | |
| Cefoxitin 2rd generation | FOX | 30 | 14 | 7 (50) | 5 (35,71) | 2 (14.29) | |
| Cefaclor 2rd generation | CEC | 30 | 1 | 1 (100) | 0 (0) | 0 (0) | |
| Ceftriaxone 3rd generation | CRO | 30 | 13 | 8 (61.54 ) | 2 (19.23) | 2 (19.23) | |
| Ceftibuten 3rd generation | CTB | 30 | 7 | 2 (28.57) | 1 (14.29 ) | 4 (57.14) | |
| Cefpodoxim 3rd generation | CPO | 30 | 1 | 1 (100) | 0 (0) | 0 (0) | |
| Cefepime 4rd generation | FEP | 30 | 4 | 2 (50) | 2 (50) | 0 (0) | |
| Carbapenems | Imipenem | IP | 10 | 14 | 3 (21.43) | 1 (7,14) | 10 (71.43) |
| Non-betalctams | |||||||
| Quinolones | Ciprofloxacin | CPR | 5 | 14 | 5(35.71) | 0 (0) | 9 (64.29) |
| Ofloxacin | OFX | 5 | 3 | 0(0) | 0 (0) | 3 (100) | |
| Norfloxacin | NOR | 10 | 7 | 4(57.14) | 0 (0) | 3 (42.86) | |
| Aminoglycozides | Gentamicin | GN | 10 | 14 | 5(35.71) | 4 (28.58) | 5 (35.71) |
| Amikacin | AK | 3010 | 13 | 1(7.69) | 1 (7.69) | 11 (84.6) | |
| Polymyxins | Colistin | CO | 11 | 0(0) | 0 (0) | 11 (100) | |
| Folate pathway inhibitors | Trimethoprim/Sulfamethoxazole | SXT/ TS | 1.25/23.75 | 14 | 13 (92.86) | 0 (0) | 1 (7.14 ) |
| Phosphonic acid derivatide | Fosfomycin trometamol | FOT | 50 | 14 | 7(50) | 2 (14.29 ) | 5 (35.71) |
| Nitrofurans | Nitrofurantoin | FM | 300 | 14 | 13 (92.86) | 1 (7.14) | 0 (0) |
Strains of multidrug resistant Klebsiella pneumoniae from patients with UTI and CKD
| Klebsiella strains resistant to Ciprofloxacin + resistant to other antibiotics (n.) | Klebsiella resistant to other antibiotics | No. antibiotics tested | CKD stage | Hemo dialysis | Diabetes | Renal affecting | Age | Gender distribution |
| +7 antibiotics | FOX/CZ/TPZ/CTB/FM/NOR/TS | 14 | 4 | 0 | + | L, C | 66 | M |
| +10 | GM/FOX/CZ/TPZ/CTB/FM/NOR/CRO/FEP/TS | 14 | 5 | + | + | 0 | 79 | M |
| +11 | GM/FOX/CZ/FOT/TPZ/FM/NOR/ CRO/IP/TS/CXM | 15 | 3 | 0 | + | L | 50 | M |
| +9 | GM/CZ/FOT/FM/NOR/CRO/TS/CXM/AMC | 16 | 4 | 0 | + | 0 | 76 | M |
| +8 | GM/FOX/AK/CZ/TPZ/CRO/IP/TS | 12 | 5 | + | 0 | N | 60 | M |
| +5 | FM/CPR/CRO/OFX/TS | 15 | Without CKD | 0 | 0 | L, C | 60 | F |
The resistance of Klebsiella pneumoniae strains to antibiotics and the number of classes of antibiotics
| Klebsiella strains | Antibiotic resistance | Number of antibiotics | Number of classes of antibiotics |
| 1 | FOX/CZ/TPZ/CTB/FM/CPR/NOR/TS | 8 | 5 classes |
| 2 | GM/FOX/CZ/TPZ/CTB/FM/CPR/NOR/CRO/FEP/TS | 11 | 6 classes |
| 3 | GM/CZ/CRO/FEP/TS | 5 | 4 classes |
| 4 | FOT/FM/TS | 3 | 3 classes |
| 5. | CZ/FM/CRO/TS | 4 | 3 classes |
| 6 | FM/TS | 2 | 2 classes |
| 7 | FOT/FM/TS | 3 | 3 classes |
| 8 | GM/FOX/CZ/FOT/TPZ/FM/CPR/NOR/CRO/IP/TS/CXM | 12 | 9 classes |
| 9 | FM/TS/AMC | 3 | 3 classes |
| 10 | FOX/CZ/FOT/FM/CRO/TS/CXM/AMC | 8 | 5 classes |
| 11 | GM/CZ/FOT/FM/CPR/NOR/CRO/TS/CXM/AMC | 10 | 4 classes |
| 12 | FOX/CZ/FOT/FM/CRO/TS | 6 | 6 classes |
| 13 | GM/FOX/AK/TPZ/FM/CPR/CRO/IP/TS | 9 | 8 classes |
| 14 | FOX/CZ/FOT/FM/IP/CEC/CPO | 7 | 4 classes |
| 15 * | FM/CPR/CRO/OFX/TS | 5 | 4 classes |
Observing-predicted frequency table for the two groups (limited and extended resistance), and risk factors
| PRO TEINURIA | CREA TININE | UREA | URIC ACID | DIAB ETES | HEMODIALYSIS | CKD STAGE | URBAN/RURAL | AGE | GENDER | Multi Resistance | Frequency | Percentage | |||
| Obser ved | Predicted | Pearson Residual | Obse rved | Predic ted | |||||||||||
| 0 | 0 | 1 | 0 | 0 | 0 | 0 | R | 60 | F | EXTENDED | 0 | ,000 | ,000 | ,0% | ,0% |
| LIMITED | 1 | 1,000 | ,000 | 100,0% | 100,0% | ||||||||||
| 1 | 0 | 0 | 0 | 0 | 3 | R | 69 | F | EXTENDED | 0 | ,000 | ,000 | ,0% | ,0% | |
| LIMITED | 1 | 1,000 | ,000 | 100,0% | 100,0% | ||||||||||
| 1 | 0 | 1 | 1 | 5 | R | 65 | M | EXTENDED | 0 | ,000 | ,000 | ,0% | ,0% | ||
| LIMITED | 1 | 1,000 | ,000 | 100,0% | 100,0% | ||||||||||
| 1 | 1 | 0 | 3 | U | 75 | F | EXTENDED | 1 | 1,000 | ,000 | 100,0% | 100,0% | |||
| LIMITED | 0 | ,000 | ,000 | ,0% | ,0% | ||||||||||
| 1 | 1 | 1 | 0 | 1 | 1 | 5 | U | 79 | M | EXTENDED | 1 | 1,000 | ,000 | 100,0% | 100,0% |
| LMITED | 0 | ,000 | ,000 | ,0% | ,0% | ||||||||||
| 1 | 1 | 0 | 3 | U | 50 | M | EXTENDED | 1 | 1,000 | ,000 | 100,0% | 100,0% | |||
| LIMITED | 0 | ,000 | ,000 | ,0% | ,0% | ||||||||||
| 4 | U | 66 | M | EXTENDED | 1 | 1,000 | ,000 | 100,0% | 100,0% | ||||||
| LIMITED | 0 | ,000 | ,000 | ,0% | ,0% | ||||||||||
| 76 | M | EXTENDED | 1 | 1,000 | ,000 | 100,0% | 100,0% | ||||||||
| LIMITED | 0 | ,000 | ,000 | ,0% | ,0% | ||||||||||