| Literature DB >> 35134073 |
Chunling Jiang1, Qiang Zheng1.
Abstract
OBJECTIVES: Several studies have compared outcomes of peritoneal dialysis (PD) between elderly and non-elderly patients but with variable results. We hereby designed this review to compare mortality, peritonitis, and technique survival between elderly and non-elderly patients on PD.Entities:
Mesh:
Year: 2022 PMID: 35134073 PMCID: PMC8824377 DOI: 10.1371/journal.pone.0263534
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Study flow-chart.
Reasons for excluded studies.
| Study | Reason |
|---|---|
| Castrale 2009 [ | No control group |
| Nessim 2009 [ | Not reporting outcomes for ≥70 vs <70 age groups |
| Hung 2009 [ | No control group |
| De Vecchi 1998 [ | Control group restricted to 40–60 years |
| Taveras 2012 [ | Data of control group not clearly presented |
| Smyth 2012 [ | Only patients above 50 years of age included in the study |
| Wang 2015 [ | Not comparing elderly with non-elderly patients |
| Jeloka 2016 [ | No control group <65 years of age |
Details of included studies.
| Study | Location | Groups | Sample size | Mean/ Median age (Years) | Male gender (%) | BMI (Kg/m2) | DM (%) | CVD (%) | Hb (g/dL) | Serum Albumin (g/dL) | Serum creatinine (mg/dL) | GFR (mL/min/1.73 m2) | Follow-up | NOS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portoles 2021 [ | Spain | >65 | 777 | 72.9 | 67.1 | NR | 29.5 | 34.5 | NR | NR | NR | NR | Mean 2.1 years | 8 |
| ≤65 | 1658 | 47.9 | 63.3 | 17.2 | 14 | |||||||||
| Wu 2020 [ | China | ≥65 | 334 | 70.9 | 51.5 | 21.8± 3.1 | 53.9 | 68.6 | 9.99± 1.9 | 3.41± 0.5 | 6.68± 2.4 | 3.85± 2.8 | Median 2.64 years | 8 |
| <65 | 1619 | 42.4 | 61.3 | 21.6± 3.1 | 17.7 | 33.6 | 10.39± 2 | 3.75± 0.5 | 8.75± 2.9 | 4.07± 2.7 | ||||
| Sakai 2018 [ | Japan | ≥70 | 19 | 77.9 | 68.4 | 21.5± 3 | 31.6 | NR | 9.9± 0.3 | 3.2± 0.5 | 8.1± 0.6 | 5.6± 2.1 | Up to 14 years | 6 |
| <70 | 109 | 52.1 | 71.5 | 23.4± 3.9 | 34.9 | 9.4± 0.1 | 3.3± 0.6 | 9.4± 0.2 | 5.7± 2.2 | |||||
| Lai 2018 [ | Italy | ≥65 | 29 | 74.1 | NR | 26.1± 3.5 | 21 | 31 | 10.9± 1.6 | 4.08± 0.3 | 6.1± 2.3 | NR | 2 years | 6 |
| <65 | 22 | 48.7 | 23.5± 3.8 | 9 | 13.6 | 11.12± 1.7 | 4.05± 0.6 | 6.4± 1.6 | ||||||
| Htay 2018 [ | Singapore | ≥65 | 79 | 73^ | 44 | 24.6± 3.8 | 66 | 52 | NR | 2.87± 0.6 | NR | NR | NR | 7 |
| <65 | 168 | 54 | 53 | 24.5± 4.7 | 46 | 44 | 3.09± 6 | |||||||
| Duquennoy 2016 [ | France | ≥75 | 3173 | 82^ | 56 | NR | 35 | NR | NR | NR | NR | NR | Up to 10 years | 8 |
| <75 | 5223 | 59 | 56 | 31 | ||||||||||
| Kim 2015 [ | Korea | ≥65 | 95 | 70.3 | 66 | 22± 3 | NR | 67 | 9.2± 1.4 | 3.3± 0.6 | NR | 8.9± 3.9 | Up to 5 years | 8 |
| <65 | 397 | 47.3 | 78.8 | 23± 3.5 | 23.9 | 9.2± 1.7 | 3.45± 0.7 | 7.4± 9.1 | ||||||
| Joshi 2014 [ | China | ≥65 | 148 | 71.3 | 50.7 | 22± 3.1 | NR | 53.4 | 9.81± 2.2 | 3.52± 5.1 | 6.3± 2.2 | 10± 4.6 | 2–6 years | 8 |
| <65 | 657 | 43.1 | 58.4 | 21.3± 3 | 26 | 10± 2.2 | 3.78± 5.1 | 7.8± 2.8 | 8.97± 4 | |||||
| Hiramatsu 2012 [ | Japan | ≥65 | 148 | 78.2 | 49.3 | NR | NR | NR | 9.09± 1.7 | 3.03± 0.7 | 6.35± 2.5 | NR | Up to 4 years | 6 |
| <65 | 99 | 52 | 65 | 9.4± 1.7 | 3.4± 0.6 | 8± 3 | ||||||||
| Lim 2011 [ | Australia & New Zealand | ≥65 | 5176 | NR | 57 | NR | 34 | 55 | NR | NR | NR | NR | Up to 14 years | 8 |
| <65 | 3370 | 50 | 33 | 15 | ||||||||||
| Yang 2007 [ | China | ≥65 | 145 | 74 | 57.9 | NR | 63.4 | 63.4 | 9.7± 1.6 | 3.75± 5.7 | NR | NR | Up to 10 years | 8 |
| <65 | 213 | 46.9 | 49.3 | 40.4 | 19.2 | 9.48± 1.6 | 3.91± 5.2 | |||||||
| Li 2007 [ | Hong Kong | ≥65 | 121 | 71.3 | 55.3 | NR | 54.5 | NR | NR | 3.09± 4.7 | NR | 3.11± 2.1 | Up to 5 years | 6 |
| <65 | 207 | 49.5 | 49.7 | 41.5 | 3.29± 5.3 | 3.4± 2.4 | ||||||||
| Fernandez 2004 [ | Chile | ≥65 | 36 | 74 | 64 | NR | 31 | 83 | NR | NR | NR | NR | Up to 4 years | 6 |
| <65 | 84 | 55 | 46 | 13 | 14 | |||||||||
| Pérez–Contreras 2000 [ | Spain | ≥65 | 138 | 72.3 | 54 | NR | 15.2 | NR | NR | NR | NR | NR | NR | 6 |
| <65 | 243 | 46 | 59 | 21.4 |
*included only <50 years ^Median values.
BMI, Body mass index; DM, Diabetes mellitus; CVD, Cardiovascular disease; Hb, Hemoglobin; GFR, Glomerular filtration rate; NOS, Newcastle Ottawa scale; NR, Not reported.
Fig 2Meta-analysis of crude mortality rates between elderly vs non-elderly patients.
Fig 3Meta-analysis of adjusted mortality rates between elderly vs non-elderly patients.
Fig 4Meta-analysis of peritonitis rates between elderly vs non-elderly patients.
Descriptive analysis of peritonitis data from the included studies.
| Study | Outcome | Results |
|---|---|---|
| Portoles 2021 [ | Peritonitis rate | Significantly higher in ≥65 age group vs <65 age group (0.65 vs 0.45 episodes/patient /year) |
| Wu 2020 [ | Peritonitis rate | Significantly higher in ≥65 age group vs <65 age group (0.203 vs 0.145 episodes/patient /year) |
| Peritonitis related mortality | Significantly higher in ≥65 age group vs <65 age group (OR: 3.57, 95% CI: 1.38–9.28) | |
| Sakai 2018 [ | Peritonitis rate | No significant difference between ≥70 vs <70 age groups (21.1% vs 39.4%) |
| Lai 2018 [ | Peritonitis index | No significant difference between ≥65 vs <65 age group (0.03± 0.002 vs 0.03±0.001 episodes/month) |
| Duquennoy 2016 [ | Incidence rate ratio(IRR) of peritonitis | Significantly lower in <75 age group as compared to ≥75 age group (IRR: 0.86, 95% CI: 0.81–0.91) |
| Lim 2011 [ | Time to first peritonitis | Significantly faster in ≥65 vs <65 age group (HR: 1.11, 95% CI: 1.04–1.18) |
| Li 2007 [ | 12-month peritonitis free period | No difference between ≥65 vs <65 age groups (76.6% vs 76.5%) |
| Fernandez 2004 [ | Peritonitis rate | No difference between ≥65 vs <65 age groups (0.16 vs 0.14 episodes/patient /year) |
OR, Odds ratio; HR, Hazard ratio; CI, confidence intervals.
Fig 5Meta-analysis of technique survival between elderly vs non-elderly patients.