| Literature DB >> 35905231 |
Thananda Trakarnvanich1, Tanun Ngamvichchukorn1, Paweena Susantitaphong2,3.
Abstract
BACKGROUND: Acute kidney injury (AKI) that develops during pregnancy results from pregnancy-induced hypertension, hemorrhage, and sepsis, associated with morbidity and mortality in the fetus and mother. This meta-analysis was conducted to evaluate the incidence of pregnancy-related AKI (PR-AKI) and adverse clinical outcomes.Entities:
Mesh:
Year: 2022 PMID: 35905231 PMCID: PMC9333530 DOI: 10.1097/MD.0000000000029563
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Figure 1.Flow diagram of articles considered for inclusion.
Characteristics of the included studies in the meta-analysis.
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| 1 | Alexopoulos et al[ | 1993 | Retrospective study | Greece | 18 | 200 | 32.0 | Serum creatinine >1.8 mg/dL | 6.0 |
| 2 | Naqvi et al[ | 1996 | Cross-sectional | Pakistan | 43 | 238 | 28.30 | Not stated | 6.0 |
| 3 | Selcuk et al[ | 1998 | Retrospective cohort | Turkey | 74 | 487 | 29.0 | Not stated | 6.0 |
| 4 | Najar et al[ | 2008 | Prospective cohort | India | 40 | 569 | 28.94 | Urine output <400 mL or creatinine >1.5 mg/dL | 7.0 |
| 5 | Ansari et al[ | 2008 | Retrospective study | Pakistan | 42 | 116 | 29.25 | Not stated | 6.0 |
| 6 | Goplani et al[ | 2008 | Prospective cohort | India | 70 | 772 | 25.60 | Urine output <400 mL or creatinine >2.0 mg/dL | 8.0 |
| 7 | Silva Jr et al[ | 2009 | Cross-sectional | Brazil | 55 | 63,882 | 26.2 | RIFLE | 9.0 |
| 8 | Prakash et al[ | 2010 | Prospective cohort | India | 85 | 4758 | 27.15 ± 4.66 | Not stated | 7.0 |
| 9 | Chaudhri et al[ | 2011 | Retrospective | Pakistan | 51 | 346 | 28.0 | Not stated | 6.0 |
| 10 | Bentata et al[ | 2012 | Retrospective cohort | Morocco | 46 | 22,320 | 29.50 ± 6.0 | RIFLE | 9.0 |
| 11 | Gurrieri et al[ | 2012 | Retrospective study | United States | 54 | 13,372 | 28.0 | AKIN | 7.0 |
| 12 | Arrayhani et al[ | 2013 | Prospective observational | Morocco | 37 | 5600 | 29.03 | RIFLE | 7.0 |
| 13 | Godara et al[ | 2014 | Prospective cohort | India | 57 | 580 | 26.4 | Not stated | 8.0 |
| 14 | Mehrabadi et al[ | 2014 | Retrospective cohort | Canada | 502 | 2,193,425 | Not stated | Not stated | 6.0 |
| 15 | Gopalakrishnanet al[ | 2015 | Prospective observational | India | 130 | 1668 | 25.4 ± 4.73 | Urine output <400 mL or creatinine increased 1.5 times from the baseline | 8.0 |
| 16 | Hildebrand et al[ | 2015 | Retrospective cohort | Canada | 188 | 1,918,789 | 30.0 | Not stated | 8.0 |
| 17 | Liu et al[ | 2015 | Retrospective cohort | China | 22 | 18,589 | 30.9 ± 5.4 | KDIGO | 9.0 |
| 18 | Vineet et al[ | 2016 | Cross-sectional | India | 52 | 570 | 26.2 | Urine output <400 mL or creatinine >2.0 mg/dL | 6.0 |
| 19 | Mehrabadi et al[ | 2016 | Retrospective cohort | United States | 4300 | 10,969,263 | 29.90 | Not stated | 9.0 |
| 20 | Prakash et al[ | 2016 | Retrospective observational | India | 259 | 3100 | 29.80 | Serum creatinine >1.0 mg/dL, oligoanuria >12 h, need for dialysis | 7.0 |
| 21 | Ibarra-Hernandez et al[ | 2017 | Cross-sectional | Mexico | 18 | 75 | 24.80 | RIFLE | 8.0 |
| 22 | Huang et al[ | 2017 | Retrospective study | China | 343 | 42,173 | 29.41 ± 5.94 | Serum creatinine >70.72 µmol/L | 8.0 |
| 23 | Silva Junior[ | 2017 | Cross-sectional | Brazil | 92 | 389 | 27.10 | Not stated | 7.0 |
| 24 | Tangren et al[ | 2017 | Prospective observational | United States | 246 | 46,646 | 31.0 ± 6.3 | KDIGO | 9.0 |
| 25 | Mir et al[ | 2017 | Retrospective | India | 61 | 713 | 26.10 ± 4.3 | KDIGO | 7.0 |
| 26 | Mahesh et al[ | 2017 | Prospective observational | India | 165 | 10,576 | 25.0 | RIFLE | 7.0 |
| 27 | Cooke et al[ | 2018 | Prospective observational | Malawi | 26 | 332 | 26.50 | KDIGO | 9.0 |
| 28 | Prakash et al[ | 2018 | Prospective cohort | India | 132 | 4741 | 26.80 | Serum creatinine >1.0 mg/dL, oligoanuria >12 h, need for dialysis | 7.0 |
| 29 | Liu et al[ | 2019 | Retrospective cohort | China | 795 | 10,920 | Not stated | KDIGO | 9.0 |
| 30 | Shah et al[ | 2020 | Retrospective cohort | United States | 32,385 | 42,190,790 | 28.0 | Not stated | 7.0 |
| 31 | Gaber et al[ | 2021 | Prospective observational | Egypt | 40 | 4000 | 28.7 ± 5.9 | KDIGO | 6.0 |
Figure 2.Forest plot of incidence of PR-AKI. CI = confidence interval, PR-AKI = pregnancy-related acute kidney injury.
Summary of maternal and fetal outcomes.
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| Maternal outcomes | ||||
| Complete recovery | 25 | 70.6% (62.7–77.5) | 89.6 | .52 |
| Partial recovery | 22 | 14.7% (10.1–21.0) | 86.0 | .01 |
| Dialysis dependence | 15 | 8.5% (4.7–14.8) | 84.0 | .050 |
| Required hemodialysis | 27 | 37.2% (26.0–49.9) | 98.7 | .001 |
| Required peritoneal dialysis | 7 | 10.0% (5.9–16.5) | 75.3 | .07 |
| Required both modalities | 4 | 8.2% (4.1–15.7) | 53.0 | .12 |
| Mortality | 25 | 12.7% (9.0–17.7) | 96.3 | .001 |
| Fetal outcomes | ||||
| Live births | 21 | 70.0% (61.2–77.4) | 93.4 | .80 |
| Intrauterine death | 11 | 18.6% (12.8–26.2) | 76.5 | .12 |
| Preterm | 4 | 28.5% (14.7–48.1) | 90.5 | .05 |
| Perinatal mortality | 20 | 25.4% (18.1–34.4) | 94.6 | .78 |
Subgroup analysis of incidence of PR-AKI.
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| Incidence of PR-AKI | 31 | 1.95% (1.01–3.73) | 99.94 |
| Subgroup analysis based on | |||
| Country classification | |||
| Developed economies | 7 | 0.14% (0.08–0.23) | 99.87 |
| Developing economies | 24 | 4.11% (2.38–7.01) | 99.48 |
| AKI definition | |||
| RIFLE/KDIGO | 11 | 1.31% (0.47–3.61) | 99.67 |
| Others | 20 | 2.42% (1.21–4.79) | 99.94 |
| Study quality | |||
| Poor and fair | 8 | 5.59% (0.35–49.71) | 99.92 |
| Good | 23 | 1.35% (0.49–3.67) | 99.94 |