| Literature DB >> 32547115 |
Melaku Ashagrie Belete1, Muthupandian Saravanan2.
Abstract
BACKGROUND: Urinary tract infection is one of the most common health problems during pregnancy. It is most commonly reported among pregnant women and is a known reason of morbidity during pregnancy worldwide, predominantly in developing countries. The etiological agents include Escherichia coli, Klebsiella species, Staphylococcus aureus, coagulase negative Staphylococci, Proteus mirabilis, Enterococcus species, Pseudomonas aeruginosa, Enterobacter species, non-hemolytic streptococci, Citrobacter species and others. Different risk factors expose pregnant women to urinary tract infection. Drug resistance by uropathogenic bacteria is a current problem of the world. This study was aimed at reviewing the prevalence of bacterial uropathogens and their antimicrobial resistance patterns among pregnant women in developing countries in Asia and Africa, during the past decade.Entities:
Keywords: antimicrobial resistance; bacterial profile; developing countries; pregnant women; urinary tract infection
Year: 2020 PMID: 32547115 PMCID: PMC7245001 DOI: 10.2147/IDR.S250654
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.003
Characteristics of Eligible Studies and Distribution of Uropathogens Causing Urinary Tract Infection in Pregnant Women Reviewed from Africa and Asia from 2005 to 2016
| First Author | Country | Pub. Year | Setting | Sample Size | UTI Overall Prev. N (%) | Uropathogens Causing Urinary Tract Infection N (%) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Derese | Ethiopia | 2016 | Hospital | 180 | 26 (14.4) | 9 (34.6) | 3 (11.5) | 2 (7.7) | 5 (19.2) | 2 (7.7) | - | - | - | - | 2 (7.7) |
| Jenifer | Sri Lanka | 2012 | Hospital | 250 | 9 (3.6) | 6 (66.6) | - | 2 (22.2) | 1 (11.1) | - | - | - | - | - | - |
| Labi | Ghana | 2015 | Hospital | 274 | 15 (5.5) | 2 (13.3) | - | - | 2 (13.3) | 3 (20) | 4 (26.7) | - | 1 (6.7) | 2 (13.3) | 1 (6.7) |
| Sibi | India | 2014 | Hospital | 395 | 180 (46.6) | 79 (43.9) | 59 (32.7) | 7 (2.2) | 10 (5.5) | 9 (5) | 12 (6.7) | 4 (1.7) | - | - | - |
| Thapa | Nepal | 2015 | Hospital | 300 | 92 (30.5) | 48 (52) | 16 (17.3) | 7 (7.3) | 1 (1.3) | 15 (16) | - | 1 (0.7) | 4 (4) | - | 1(1.3) |
| Vaijanathrao | India | 2015 | Hospital | 2445 | 491 (20.1) | 233 (47.5) | 89 (18.1) | 34 (6.9) | 31 (6.3) | 7 (1.4) | 53 (10.8) | 23 (4.7) | 21 (4.3) | - | - |
| Oli | Nigeria | 2010 | Hospital | 357 | 65 (18.21) | 21 (25.6) | 11 (13.4) | 17 (20.73) | 13 (15.8) | 3 (3.66) | - | - | - | - | - |
| Alemu | Ethiopia | 2012 | Hospital | 385 | 40 (10.4) | 19 (47.5) | 4 (10) | 4 (10) | 9 (22.5) | 2 (5) | - | 4 (10) | 2 (5) | - | - |
| Turpin | Ghana | 2007 | Hospital | 220 | 16 (7.3) | 6 (37.5) | 2 (12.5) | 5 (31.2) | 1 (6.25) | - | 2 (12.5) | - | - | - | - |
| Moghadas | Iran | 2009 | HC | 297 | 10 (3.3) | 7 (70) | 2 (20) | - | - | - | - | - | 1 (10) | - | - |
| Hamdan | Sudan | 2011 | Hospital | 235 | 33 (14) | 14 (42.4) | 3 (9) | 13 (39.3) | - | - | - | 1 (3) | - | 2 (6) | - |
| Mokube | Cameroon | 2013 | HC, Hospital & clinics | 102 | 24 (23.5) | 9 (37.5) | 8 (33.3) | - | - | - | - | 3 (12.5) | 4 (16.6) | - | – |
| Al-Haddad | Yemen | 2005 | Hospital | 137 | 41 (30) | 17 (41.5) | 4 (9.8) | 8 (19.5) | - | 5 (12.2) | - | - | - | 2 (4.9) | - |
| Lewis | S. Africa | 2013 | Hospital | 425 | 203 (47.8) | 160 (79.6) | 5 (2.5) | - | 5 (2.5) | 10 (5) | 3 (1.5) | - | - | 7 (3.5) | 1 (0.5) |
| Andabati | Uganda | 2010 | Hospital | 218 | 29 (13.1) | 15 (51.2) | 5 (18) | 2 (6.2) | 6 (20.2) | - | 1 (0.8) | 2 (6) | - | - | - |
| Sharifa | Saudi Arabia | 2010 | Hospital & clinics | 9698 | 166 (1.7) | 88 (53) | 1 (0.6) | 8 (4.8) | - | 1 (0.6) | - | - | - | 18 (10.8) | - |
| Okon | Nigeria | 2012 | Hospital | 200 | 118 (59) | 23 (19.5) | 47 (39.8) | 27 (22.9) | - | 11 (9.3) | - | 10 (8.5) | - | - | - |
| Sabrina | Tanzania | 2010 | Hospital | 200 | 42 (21) | 14 (33.3) | 9 (21.4) | 6 (14.3) | 7 (16.7) | 3 (7.1) | 3 (7.1) | - | - | - | - |
| Demlie | Ethiopia | 2012 | Hospital | 367 | 35 (9.5) | 16 (45.7) | - | 4 (11.4) | 6 (17.1) | - | - | - | - | - | - |
| Ullah | Bangladesh | 2007 | Hospital | 1800 | 430 (23.8) | 320 (74.4) | 18 (4.2) | 84 (19.5) | - | 8 (1.8) | - | - | - | - | - |
| Manjula | India | 2013 | Hospital & clinics | 417 | 206 (49.4) | 117 (56.8) | 41 (19.9) | - | - | 12 (5.8) | 2 (0.9) | 13 (6.3) | 8 (3.8) | 10 (4.8) | 3 (1.4) |
| Haider | Pakistan | 2010 | Hospital | 232 | 10 (4.3) | 7 (70) | - | 3 (30) | - | - | - | - | - | - | - |
| Enayat | Iran | 2008 | Clinics | 1505 | 134 (8.9) | 79 (58.9) | - | 18 (13.4) | 22 (16.4) | - | - | - | - | - | - |
| Thairu | Nigeria | 2013 | Hospital | 180 | 78 (43.3) | 18 (23.1) | 9 (11.5) | 8 (10.2) | 12 (15.4) | 8 (10.2) | 5 (6.4) | 4 (5.1) | 9 (11.5) | 5 (6.4) | - |
| Masinde | Tanzania | 2009 | Hospital | 247 | 36 (14.5) | 16 (44.4) | 2 (5.5) | - | - | - | - | 4 (11.1) | 3 (8.3) | - | - |
| Kabew | Ethiopia | 2013 | Hospital | 3182 | 742 (23.3) | 361 (48.6) | 136 (18.3) | 25 (3.4) | 49 (6.6) | 9 (1.2) | 41 (5.5) | 27 (3.6) | 29 (3.9) | 4 (0.5) | 27 (3.6) |
Notes: Study targets of all reviewed studies were pregnant women. Sample source for all studies were urine of pregnant women. Percentage is calculated from the sample size of individual studies. While the percentage in the total raw is calculated from the total sample size.
Abbreviations: E. coli, Escherichia coli; S. aureus, Staphylococcus aureus; CN. Staphylococci, Coagulase negative Staphylococci; P. mirabilis, Proteus mirabilis; P. aeruginosa, Pseudomonas aeruginosa; HC, health center; UTI, urinary tract infection; Pub. year, publication year; Prev, prevalence.
Figure 1Frequency of uropathogenic bacteria among pregnant women in developing countries in Africa and Asia from 2005 to 2016.
Review on Antimicrobial Resistance Patterns of Uropathogens Causing UTI Among Pregnant Women in Developing Countries Conducted in Africa from 2005 to 2016
| Author | Uropathogens | Resistance Patterns, N (%) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| AMP | CIP | NA | SXT | GM | NOR | F | AMO | CRO | ||
| Derese | 7 (77.7) | 1 (11.1) | 4 (44.5) | 1 (11.1) | 0 (0) | N/D | 4 (44.4) | 7 (77.7) | 0 (0) | |
| 2 (100) | 1 (50) | N/D | 1 (50) | 0 (0) | N/D | 1 (50) | 1 (50) | 1 (50) | ||
| 3 (100) | 1 (33.3) | 1 (33.5) | 2 (66.7) | 1 (33.3) | N/D | 3 (100) | 3 (100) | 0 (0) | ||
| 4 (100) | 1 (25) | 3 (75) | 4 (100) | 2 (50) | N/D | 3 (75) | 2 (50) | 1 (25) | ||
| 2 (100) | 0 (0) | 1 (50) | 1 (50) | 0 (0) | N/D | 1 (50) | 2 (100) | 0 (0) | ||
| 1 (100) | 0 (0) | 1 (100) | 0 (0) | 0 (0) | N/D | 0 (0) | 0 (0) | 0 (0) | ||
| 4 (80) | 2 (40) | N/D | 4 (80) | 0 (0) | N/D | 1 (20) | 4 (80) | 1 (20) | ||
| Labi | 2 (100) | N/D | 2 (100) | 2 (100) | 2 (100) | N/D | 0 (0) | N/D | N/D | |
| 2 (100) | N/D | 1 (50) | 2 (100) | 2 (100) | N/D | 0 (0) | N/D | N/D | ||
| 3 (100) | N/D | 3 (100) | 3 (100) | 2 (66.6) | N/D | 0 (0) | N/D | N/D | ||
| 4 (100) | N/D | 3 (75) | 4 (100) | 4 (100) | N/D | 0 (0) | N/D | N/D | ||
| Oli | 16 (76.2) | N/D | 16 (76.7) | 12 (57.2) | 7 (33.3) | N/D | 10 (47.6) | 11 (52.4) | 3 (14.3) | |
| 15 (88.3) | N/D | 14 (82.4) | 12 (70.6) | 10 (58.8) | N/D | 14 (82.4) | 11 (64.7) | 6 (35.3) | ||
| 8 (61.5) | N/D | 9 (69.3) | 10 (76.9) | 3 (23.1) | N/D | 9 (69.3) | 6 (46.2) | 0 (0) | ||
| 9 (81.8) | N/D | 6 (54.5) | 7 (63.6) | 5 (45.5) | N/D | 8 (72.3) | 7 (63.7) | 2 (17.3) | ||
| 2 (76.7) | N/D | 1 (33.3) | 2 (76.7) | 1 (33.3) | N/D | 1 (33.3) | 1 (33.3) | 0 (0) | ||
| Thairu | 11 (60) | N/D | N/D | 9 (52.5) | 6 (31.2) | N/D | 4 (20) | 1 (8) | 1 (5) | |
| 0(0) | N/D | N/D | 5 (59) | 4 (44) | N/D | 3 (41.5) | 0 (0) | 1 (3.2) | ||
| 1 (4) | N/D | N/D | 8 (67) | 7 (60) | N/D | 7 (55) | 0 (0) | 4 (34) | ||
| 5 (55) | N/D | N/D | 2 (22) | 4 (49.2) | N/D | 0 (0) | 1 (10) | 3 (33.2) | ||
| 2 (56) | N/D | N/D | 4(100) | 3 (87.3) | N/D | 3 (68) | 1 (33.4) | 3 (79.5) | ||
| 4 (50) | N/D | N/D | 7 (90) | 4 (53.7) | N/D | 4 (53.5) | 1 (13.6) | 5 (55.4) | ||
| 4 (81.5) | N/D | N/D | 5 (89.2) | 3 (67.4) | N/D | 3 (53.1) | 0 (0) | 2 (39.4) | ||
| 1 (22) | N/D | N/D | 3 (68) | 2 (45) | N/D | 2 (42.7) | 0 (0) | 1 (12) | ||
| 6 (70) | N/D | N/D | 4 (41.3) | 1 (2.4) | N/D | 5 (50) | 2 (20) | 6 (70) | ||
Notes: Resistance patterns for each study were calculated as a percentage of individual bacterial isolates. All studies use Clinical and Laboratory Standards Institute (CLSI) guideline to depict the resistance patterns of each bacterial isolate.
Abbreviations: N/D, resistance pattern not determined; AMP, ampicillin; CIP, ciprofloxacin; NA, nalidixic acid; SXT, trimethoprim-sulfamethoxazole; GM, gentamicin; NOR, norfloxacin; F, nitrofurantoin; AMO, amoxicillin; CRO, ceftriaxone.
Review on Antimicrobial Resistance Patterns of Uropathogens Causing UTI Among Pregnant Women in Developing Countries Conducted in Asia from 2005 to 2016
| Author | Uropathogens | Resistance Patterns, N (%) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| AMP | CIP | NA | SXT | GM | NOR | F | AMO | CRO | ||
| Sibi | N/D | 18 (22.8) | 41 (51.9) | 13 (16.5) | 69 (87.4) | 34 (43.1) | N/D | 75 (94.9) | 32 (40.5) | |
| N/D | 3 (48) | 2 (25) | 2 (25) | 3 (50) | 5 (75) | N/D | 3 (50) | 7 (100) | ||
| N/D | 4 (40) | 2 (20) | 1 (10) | 5 (50) | 6 (60) | N/D | 3 (30) | 4 (40) | ||
| N/D | 24 (35.5) | 9 (33) | 17 (25) | 29 (42) | 16 (57) | N/D | 47 (68) | 40 (58) | ||
| N/D | 0 (0) | 1 (33.3) | 0(0) | 1 (33.4) | 1 (33.3) | N/D | 2 (50) | 1 (33.3) | ||
| N/D | 1 (10.1) | 0 (0) | 3 (33.3) | 6 (66.7) | 3 (33.3) | N/D | 2 (22.8) | 1 (12) | ||
| N/D | 4 (33.3) | 0 (0) | 2 (16.7) | 8 (66.7) | 3 (25) | N/D | 3 (25) | 5 (42) | ||
| Thapa | 44 (56.4) | 32 (41) | N/D | 32 (41) | 6 (7.7) | 46 (58.9) | 8 (10.3) | N/D | N/D | |
| 20 (76.4) | 10 (38.5) | N/D | 10 (38.5) | 3 (11.5) | 2 (7.69) | 7 (26.9) | N/D | N/D | ||
| 0 (0) | 0 (0) | N/D | 1 (100) | 0 (0) | 1 (100) | 0 (0) | N/D | N/D | ||
| 13 (54.2) | 7 (29.2) | N/D | 12 (50) | 3 (12.5) | 1 (4.2) | 4 (16.7) | N/D | N/D | ||
| 4 (66.7) | 3 (50) | N/D | 4 (66.7) | 0 (0) | 3 (50) | 0 (0) | N/D | N/D | ||
| 1 (50) | 1 (50) | N/D | 2 (100) | 0 (0) | 1 (50) | 1 (50) | N/D | N/D | ||
| Ullah | N/D | 8 (2.5) | 186 (58.1) | 222 (69.4) | N/D | N/D | 160 (50) | 170 (53) | N/D | |
| N/D | 6 (7.1) | 40 (47.6) | 58 (66.7) | N/D | N/D | 36 (42.4) | 34 (40.5) | N/D | ||
| N/D | 0 (0) | 6 (33.3) | 16 (88.9) | N/D | N/D | 4 (22.2) | 10 (55.6) | N/D | ||
| N/D | 0 (0) | 2 (25) | 6 (75) | N/D | N/D | 2 (25) | 4 (50) | N/D | ||
| Enayat | 77 (97.5) | 10 (92.7) | 64 (81.1) | 59 (74.7) | 75 (94.9) | 21 (26.6) | 56 (70.9) | N/D | N/D | |
| 12 (66.7) | 12 (66.7) | N/D | 14 (77.7) | N/D | 3 (16.6) | 10 (55.5) | N/D | N/D | ||
| 14 (63.6) | 8 (38.4) | 2 (27.3) | 18 (81.8) | N/D | 12 (54.6) | 12 (54.6) | N/D | N/D | ||
| 2 (40) | 1 (20) | 4 (80) | 4 (80) | 2 (40) | N/D | N/D | N/D | N/D | ||
| 6 (60) | 2 (20) | 1 (10) | 3 (30) | 3 (30) | 6 (60) | 4 (40) | N/D | N/D | ||
Notes: Resistance patterns for each studies were calculated as a percentage of individual bacterial isolates. All studies use Clinical and Laboratory Standards Institute (CLSI) guideline to depict the resistance patterns of each bacterial isolate.
Abbreviations: N/D, resistance pattern not determined; AMP, ampicillin; CIP, ciprofloxacin; NA, nalidixic acid; SXT, trimethoprim-sulfamethoxazole; GM, gentamicin; NOR, norfloxacin; F, nitrofurantoin; AMO, amoxicillin; CRO, ceftriaxone.
Figure 2A diagrammatic illustration elucidating the possible risk factors of acquiring UTI and mechanism of bacterial drug resistance among pregnant women.
Risk Factors Associated with UTI Among Pregnant Women Reviewed from Asia and Africa from 2005 to 2016
| First Author | Continent | Significantly Associated with Bacteriuria | Not Significantly Associated with Bacteriuria |
|---|---|---|---|
| Derese | Africa | Past history of UTI, family monthly income ≤500 birr and 501–1000 birr, age groups of 25–34 years, and educational level | History of catheter, History of antibiotics, Parity, gestational age |
| Jenifer | Asia | – | Gestational diabetes, past UTI, multiparity, advanced maternal age, lower education level, advanced gestational age and lower socioeconomic status. |
| Labi | Africa | Being frequently sexually active during pregnancy | Educational status, parity, gestational age, marital status and the number of fetuses carried, sexual frequency |
| Sibi | Asia | Age group between 25–34 years, High sexual activities, recent use of diaphragm with spermicide | Gestational age of pregnancy |
| Thapa | Asia | Parity, education status, occupation of pregnant women, times of bathing, history of UTI | Age group, pregnancy Trimester, Smoking habit |
| Vaijanathrao | Asia | – | Gestational diabetic mellitus, Gestational age |
| Oli | Africa | Educational level, | Gestational age |
| Alemu | Africa | History of catheterization and previous history of UTI | Maternal age, address, parity, gravidity, trimester, occupation, marital status, education |
| Turpin | Africa | Gestational age | Parity |
| Hamdan | Africa | – | Age, gestational age, parity, and history of UTI |
| Mokube | Africa | – | Gravidity, parity |
| Andabati | Africa | – | Education level, Marital status, Smoking, Alcohol, Gravidity, Antibiotic (oral/injectable) used in the previous two weeks, gestational age |
| Sharifa | Asia | Age, gravidity | History of previous abortions |
| Okon | Africa | Tertiary education, third trimester, multi-gravidity, multiparity | - |
| Manjula | Asia | Gestational age, parity, age group | - |
| Haider | Asia | Illiteracy (Educational status), history of sexual activity, low socioeconomic (monthly income < Rs. 10,000/month) group, past history of UTI and multiparity | Age group, haemoglobin level |
| Enayat | Asia | Hemoglobin level | Age, gravidity, Parity, |
| Thairu | Africa | Age group, fever, previous symptoms of UTI, gestational age, | Gravidity |
| Masinde | Africa | Low socioeconomic status | Maternal age, parity, gestational age, occupation, marital status, educational level |
Pooled Range and Mean of Antimicrobial Resistance Patterns of Uropathogenic Bacteria Causing Urinary Tract Infection in Pregnant Women Reviewed from Africa and Asia from 2005 to 2016
| Uropathogens | Resistance Patterns, N (%) | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AMP | CIP | NA | SXT | GM | NOR | F | AMO | CRO | ||||||||||
| PR | PM | PR | PM | PR | PM | PR | PM | PR | PM | PR | PM | PR | PM | PR | PM | PR | PM | |
| 56.4–100 | 77.9 | 11.1–92.7 | 34.0 | 44.5–100 | 68.7 | 11.1–100 | 52.8 | 0–94.9 | 50.6 | 19.2–58.9 | 36.9 | 0–70.9 | 34.7 | 8–94.9 | 57.2 | 0–40.5 | 14.9 | |
| No. of studies | 6 | 5 | 6 | 8 | 7 | 4 | 7 | 5 | 4 | |||||||||
| 0–100 | 63.7 | 48–66.7 | 54.9 | 25–77.7 | 51.3 | 16.6–75 | 45.8 | |||||||||||
| No. of studies | 4 | 3 | 2 | 2 | ||||||||||||||
| 4–100 | 61.8 | 7.1–40 | 31.4 | 20–69.3 | 42.8 | 10–100 | 68.9 | 0–100 | 46.6 | 54.6–60 | 57.3 | 0–69.3 | 40.2 | 0 | 39.3 | 0–40 | 23.5 | |
| No. of studies | 5 | 4 | 5 | 7 | 5 | 2 | 6 | 5 | 4 | |||||||||
| 40–100 | 70.6 | 0–38.5 | 25.5 | 33–80 | 46.8 | 22–88.9 | 54.9 | 11.5–49.2 | 36.9 | 7.69–57 | 32.3 | 0–100 | 44.3 | 10–100 | 59.5 | 0–58 | 27.1 | |
| No. of studies | 5 | 5 | 5 | 7 | 6 | 2 | 5 | 5 | 4 | |||||||||
| 0–100 | 52 | 0–25 | 8.3 | 33.3–75 | 54.2 | 0–100 | 75 | 0–87.3 | 42.6 | 33.3–100 | 66.6 | 0–75 | 47.6 | 33.4–50 | 44.5 | 25–79.5 | 45.9 | |
| No. of studies | 3 | 3 | 2 | 4 | 4 | 2 | 3 | 3 | 3 | |||||||||
| 50–100 | 76.2 | 0–29.2 | 9.8 | 0–100 | 41.6 | 33.3–100 | 67.8 | 0–66.7 | 38.8 | 4.2–33.3 | 18.7 | 0–53.5 | 29.7 | 13.6–100 | 43.9 | 0–55.4 | 16.8 | |
| No. of studies | 5 | 4 | 5 | 7 | 6 | 2 | 6 | 5 | 4 | |||||||||
| 22–100 | 62.9 | 33.3–50 | 41.6 | 0–75 | 37.5 | 16.7–100 | 62.8 | 0–100 | 52.9 | 25–50 | 37.5 | 0–42.7 | 14.2 | 0–25 | 12.5 | 12–42 | 27 | |
| No. of studies | 3 | 2 | 2 | 4 | 4 | 2 | 3 | 2 | 2 | |||||||||
| 50–100 | 75 | 0–50 | 25 | 0–100 | 50 | 0–50 | 25 | |||||||||||
| No. of studies | 2 | 2 | 2 | 2 | ||||||||||||||
| 60–70 | 65 | 30–41.3 | 35.6 | 2.4–30 | 16.2 | 40–50 | 45 | |||||||||||
| No. of studies | 2 | 2 | 2 | 2 | ||||||||||||||
Abbreviations: AMP, ampicillin; CIP, ciprofloxacin; NA, nalidixic acid; SXT, trimethoprim-sulfamethoxazole; GM, gentamicin; NOR, norfloxacin; F, nitrofurantoin; AMO, amoxicillin; CRO, ceftriaxone; PR, pooled range; PM, pooled mean.
Figure 3Pooled mean antimicrobial resistance patterns of uropathogenic bacteria among pregnant women in developing countries in Africa and Asia from 2005 to 2016.