| Literature DB >> 29673338 |
Swati Mehta1, Kinsuk Chauhan2, Achint Patel2, Shanti Patel2, Rachel Pinotti2, Girish N Nadkarni2, Chirag R Parikh3, Steven G Coca2.
Abstract
BACKGROUND: Acute kidney injury (AKI), as defined by peak increase in serum creatinine, is independently associated with increased risk of mortality and length of stay. Studies have suggested that the duration of AKI may be an important additional or independent prognostic marker of increased mortality in patients with AKI across clinical settings. We performed a systematic review and meta-analysis of published studies to assess the impact of duration of AKI on outcomes.Entities:
Keywords: Acute kidney injury; Duration; Mortality
Mesh:
Year: 2018 PMID: 29673338 PMCID: PMC5907696 DOI: 10.1186/s12882-018-0876-7
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Fig. 1Prisma flow diagram of studies that were considered for inclusion
Characteristics of studies included in the systematic review and meta-analysis
| First Author | Year | Single vs. Multi | Type of Study | Clinical Setting | N | Years of Follow Up | Age Range | Percent | Length of Hospital Stay in Daysa | AKI definition severity | Duration of AKI | Study Quality | Different covariates adjusted for | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | Max | Short, medium or long | Transient or Persistent | ||||||||||||
| Brown | 2010 | Single | R | Cardiac surgery | 4987 | 2.6 | 5 | 64–72 | 29–33 | 6–24. | AKIN | √ | Fair | age, sex, prior CABG, COPD, emergency surgery, ejection fraction and baseline eGFR | |
| Coca [ | 2010 | Multi | R | Non cardiac | 35,302 | 3.8 | 9 | 66–88 | 96–98 | 6 | AKIN | √ | Good | age, sex, race, chronic insulin use, operative time, ASA class 4/5, emergency surgery, baseline GFR, smoking status,weight loss > 10% last 6 months, chronic alcohol intake, COPD, pre-op albumin, hematocrit,WBC, and hemoglobin A1C | |
| Choi [ | 2010 | Multi | R | General Hospital | 17,325 | 5.7 | 20 | 44–47 | 98 | NM | AKIN | √ | Fair | Age, sex, race, baseline GFR, albuminuria, viral load, cd4, htn, dm, lung ds, smoking, cancer, ICU admission | |
| Goldberg [ | 2009 | Single | R | Post MI | 1957 | 1.5 | 5 | 59–70 | 76 | NM | AKIN | √ | Fair | age, gender, estimated GFR (MDRD), previous diuretic therapy, HTN,DM, smoking, previou MI, heart rate and blood pressure on admission, use of reperfusion therapy ACE/ARB and beta-blockers), and left ventricular EF., | |
| Han [ | 2013 | Single | R | ICU | 2143 | 0.4 | 0.5 | 68 | 52–68 | 13–29 | KDIGO | √ | Fair | Age, sex, Apache, primary diagnosis, underlying CKD, history of malignancy, the need for mechanical ventilation, the use of vasoactive drugs, and AKI stages | |
| Loef [ | 2004 | Single | R | Cardiac surgery | 843 | 8.3 | 62–64 | 73 | 1–5 | AKI/ | Fair | Age, PVD,Operation time, pre op renal function by cockroft-gault formula,post op renal function deterioration | |||
| TRIBE-AKI [ | 2016 | Multi | P | Cardiac surgery | 1199 | 3 | 71–73 | 66–76 | 7–32 | AKIN | √ | Good | Age, sex, race, elective surgery, preop GFR, DM, HTN, CHF, MI,surgery type and center | ||
| Wu [ | 2015 | Single | R | Intensive | 318 | 8 | 65.6 | 71 | 31 | KDIGO | √ | Good | age, gender, need for a ventilator, emergent operation and baseline renal function; severity of sepsis, the use of vasoactive drugs and diuretics, surgery category; APACHE II, MODS, SOFA scores and peak KDIGO stage. | ||
| Yoo [ | 2014 | Single | P | General Hospital | 123 | 0.65 | 3.4 | 64.8 | 61 | 39 | AKIN | √ | Good | Age, sex, charlson comorbity index, recovery | |
| Pannu [ | 2013 | Multi | R | General Hospital | 190,714 | 2.8 | 6 | 63–66 | 47–53 | NM | KDIGO | √ | Good | age, sex, MI, PVD,CVA,CHF,DM, nondermatologic malignancy, baseline estimatedGFR,requirement for acute dialysis, primary diagnostic code for hospitalization, CIHI resource intensity weight. | |
| Liano [ | 2006 | Single | R | General Hospital | 413 | 7.2 | 22 | 57.8 | 66 | 54 | ATN/ | √ | Poor | Age, sex, type of admission, ATN etiology, need for RRT, ARF functional severity, ICU admission,incidence of comorbity factors | |
| Uchino [ | 2010 | Single | R | General Hospital | 20,126 | 2 | 65–78 | 49–56 | NM | RIFLE | √ | Fair | Age, sex, emergency admission, ICU admission,mech ventilation,baseline Cr in mg/dl,operation time | ||
| Wamock [ | 2015 | Single | R | General Hospital | 50,580 | 28 | 55 | 55–63 | 4–8 | AKI/ | √ | Fair | Age, race, sex, charlson comorbid index, admission source, egfr < 60 | ||
| Gammelager [ | 2014 | Multi | R | ICU | 21,550 | 2.7 | 3 | 57–68 | 53–61 | 8–23 | KDIGO | √ | Fair | age, gender, other ischemic heart diseases, CVA,HTN, PVD, CKD cancer, surgical status, primary diagnosis during current hospitalization, and preadmission use of drugs | |
| Welton [ | 2007 | Single | R | Cardiac surgery | 1324 | 6 | 10 | 66 | 80 | NM | AKI/ | √ | Good | Age, sex, HTN, DM, smoking,Hl, COPD, BMI,Prior MI and coronary revascularization,angina, CHF, baseline Cr Clearance, medications, and short term complications. | |
| Heung [ | 2015 | Single | R | General Hospital | 104,764 | 13 | 61.8 | 95 | 7 | KDIGO | √ | Good | Age, race, sex, preadmission,DM, HTN,Dx of sepsis, need for mechanical ventilation during index hospitalization, length of stay,charlson comorbity score and baseline GFR. | ||
| Sood [ | 2014 | multi | R | ICU | 5443 | 0 | 0 | 55–70 | 57 | NM | RIFLE | √ | Good | Demographics, illness severity, co-morbidity,and treatment | |
| Perinel [ | 2015 | multi | R | ICU | 447 | 0 | 0 | 45–75 | 63.3 | NM | AKIN | √ | Good | Age, type of AKI, use of vasopressors, illness severity | |
R Retrospective, P Prospective, AKIN Acute Kidney Injury Network, HIV Human Immunodeficiency Virus, NM Not Mentioned, ICU- Intensive Care Unit, KDIGO Kidney Disease: Improving Global Outcomes, ATN Acute Tubular Necrosis, RIFLE Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease classification, AMI Acute myocardial infarction, DM Diabetes Mellitus, HTN Hypertension, PVD Peripheral vascular Disease, CHF Congestive heart failure, MI Myocardial infarction, BMI Body mass index, CVA Cerebrovascular accident, Dx Diagnosis, Cr Creatinine
aMedian days of length of hospitalization as reported by authors
Fig. 2Pooled RRs for long term mortality by short (a), medium (b) and long (c) duration of AKI
Fig. 3RR for CHF by duration within strata of AKI
Fig. 4RR for MI by duration within strata of AKI
Fig. 5Risk for incident CKD stage 3 increases with duration even after adjusting for KDIGO stage