| Literature DB >> 35382766 |
Yusri Abdel-Hafez1, Hani Siaj1, Mohammad Janajri1, Yazan Abu-Baker1, Zaher Nazzal2, Zakaria Hamdan3, Rabee Adwan4, Banan M Aiesh5, Ahmad I Anaya6.
Abstract
BACKGROUND: In the light of recent years, an increase in the number of life-threatening infections due to various fungi has been observed, especially in tertiary care centres. With Amphotericin B labelled as the first choice in treating these infections, one of its common side effects, nephrotoxicity, along with hypokalemia, were studied to determine the epidemiology, risk factors, and protective measures.Entities:
Keywords: Amphotericin B; Antifungal; Hypokalemia; Nephrotoxicity
Mesh:
Substances:
Year: 2022 PMID: 35382766 PMCID: PMC8982299 DOI: 10.1186/s12882-022-02770-2
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Nephrotoxicity status in relation to subjects’ background, clinical, and hospitalization data via univariable and logistic regression analysis
| Male | 64 (54.7%) | 28 (43.8%) | 36 (56.2%) | 0.567 | – | – |
| Female | 53 (45.3%) | 26(50%) | 26 (50%) | |||
| 52 (13–89) | 56 (19–85) | 48 (13–89) | .078 | .716 | 1.1 (.98–1.02) | |
| Yes | 22 (18.8%) | 13(59.1%) | 9(40.9%) | .177 | – | – |
| No | 95 (81.2%) | 41(43.2%) | 54(56.8%) | |||
| Yes | 7 (6%) | 4(57.1%) | 3(42.9%) | .548 | – | – |
| No | 110 (94%) | 50(45.5%) | 60(54.5%) | |||
| Yes | 18 (15.4%) | 13(72.2%) | 5(27.7%) | .16 | – | – |
| No | 99 (84.6%) | 41(41.4%) | 58(58.6%) | |||
| Yes | 5 (4.3%) | 4(80%) | 1(20%) | .121 | – | – |
| No | 112 (95.7%) | 50(44.6%) | 62(55.4%) | |||
| Yes | 39 (33.3%) | 21(53.8%) | 18(46.2%) | .238 | – | – |
| No | 78 (66.7%) | 33(42.3%) | 45(57.7%) | |||
| Yes | 33 (28.2%) | 20(60.6%) | 13(39.4%) | .049 | .235 | 1.8 (.67–5.04) |
| No | 84 (71.8%) | 34(40.5%) | 50(59.5%) | |||
| Yes | 30 (25.6%) | 13(43.3%) | 17(56.6%) | .71 | – | – |
| No | 87 (74.4%) | 41(47.1%) | 46(52.9%) | |||
| Yes | 12 (10.3%) | 6(50%) | 6(50%) | .778 | – | – |
| No | 105 (89.7%) | 48(45.7%) | 57(54.3%) | |||
| Yes | 51 (43.6%) | 28(54.9%) | 23(45.1%) | .095 | .472 | 1.4 (.59–3.11) |
| No | 66 (56.4%) | 26(39.4%) | 40(60.6%) | |||
| Yes | 19 (16.2%) | 10(52.6%) | 9(47.4%) | .536 | – | – |
| No | 98 (83.8%) | 44(44.9%) | 54(55.1%) | |||
| Yes | 12 (10.3%) | 9(75%) | 3(25%) | .034 | .160 | 2.9 (.66–12.70) |
| No | 105 (89.7%) | 45(42.9%) | 60(57.1%) | |||
26.5 (4–149( | 26 (3–250) | .974 | – | – | ||
| Yes | 82(70.1%) | 43(52.4%) | 39(47.6%) | .037 | .448 | 1.5 (.50–4.72) |
| No | 35(29.9%) | 11(31.4%) | 24(68.6%) | |||
| Yes | 56(47.9%) | 31(55.4%) | 25(44.6%) | .056 | .995 | .99 (.37–2.68) |
| No | 61(52.1%) | 23(37.7%) | 38(62.3%) | |||
| Yes | 50(42.7%) | 29(72.5%) | 21(27.5%) | .026 | .605 | 1.3 (.48–3.52) |
| No | 67(57.3%) | 25(37.3%) | 42(62.7%) | |||
ICU Intensive Care Unit
a Median (range)
b Documented during admission
* Chi-squared test for nominal variables and Mann Whitney U test for numerical values
Nephrotoxicity status with subjects' treatment data & details via univariable and logistic regression analysis
250 (40–2550) | 250 (40–1150) | 200 (40–2550) | .934 | – | – | |
| 6 (2–220) | 7 (2–220) | 6 (2–40) | .306 | – | – | |
| Yes | 32 (27.4%) | 15(46.9%) | 17(53.1%) | .924 | – | – |
| No | 85 (72.6%) | 39(45.9%) | 46 (54.1%) | |||
| Yes | 65 (55.6%) | 30 (46.2%) | 35 (53.8%) | 1.0 | – | – |
| No | 52 (44.4%) | 24 (46.2%) | 28 (53.8%) | |||
| Yes | 36 (30.8%) | 18 (50%) | 18 (50%) | .578 | – | – |
| No | 81 (69.2%) | 36 (44.4%) | 45 (55.6%) | |||
| Yes | 15(12.8%) | 7(46.6%) | 8(53.3%) | .966 | – | – |
| No | 102(87.2%) | 47(46.1%) | 55(53.9%) | |||
| Yes | 15(12.8%) | 6(40%) | 9(60%) | .609 | – | – |
| No | 102 (87.2%) | 48 (47.1%) | 54(52.9%) | |||
| Yes | 14(12%) | 9(64.3%) | 5(35.7%) | .147 | – | – |
| No | 103(88%) | 45(43.7%) | 58(56.3%) | |||
| Yes | 78(66.7%) | 32(41%) | 46(59%) | .116 | – | – |
| No | 39(33.3%) | 22(56.4%) | 17(43.6%) | |||
| Yes | 44(37.6%) | 18(40.9%) | 26(59.1%) | .377 | – | – |
| No | 73(62.4%) | 36(49.3%) | 37(50.7%) | |||
ICU Intensive Care Unit
a Median (range)
b Documented during admission
* Chi-squared test for nominal variables and Mann Whitney U test for numerical values
Hypokalemia status with subjects' background, clinical, and hospitalization data via univariable and logistic regression analysis
| Male | 64 (54.7%) | 15(23.4%) | 49(76.6%) | .013 | .01 | 3.417 (1.34–8.67) |
| Female | 53 (45.3%) | 24(45.3%) | 29(54.7%) | |||
| 46 (15–89) | 56 (13–89) | .041 | .395 | .988 (.96–1.01) | ||
| Yes | 22 (18.8%) | 4(18.2%) | 18(81.8%) | .094 | .395 | .550 (.14–2.2) |
| No | 95 (81.2%) | 35(36.8%) | 60(63.2%) | |||
| Yes | 7 (6%) | 3(42.9%) | 4(57.1%) | .581 | – | – |
| No | 110 (94%) | 36(32.7%) | 74(67.3%) | |||
| Yes | 18 (15.4%) | 4(22.2%) | 14(77.8%) | .277 | – | – |
| No | 99 (84.6%) | 35(35.4%) | 64(64.6%) | |||
| Yes | 5 (4.3%) | 1(20%) | 4(80%) | .518 | – | – |
| No | 112 (95.7%) | 38(33.9%) | 74(66.1%) | |||
| Yes | 39 (33.3%) | 9(23.1%) | 30(76.9%) | .096 | .093 | .237 (.12–1.18) |
| No | 78 (66.7%) | 30(38.5%) | 48(61.5%) | |||
| Yes | 33 (28.2%) | 8(24.2%) | 25(75.8%) | .191 | – | – |
| No | 84 (71.8%) | 31(36.9%) | 53(63.1%) | |||
| Yes | 30 (25.6%) | 11(36.7%) | 19(63.3%) | .653 | – | – |
| No | 87 (74.4%) | 28(32.2%) | 59(67.8%) | |||
| Yes | 12 (10.3%) | 3(25%) | 9(75%) | .518 | – | – |
| No | 105 (89.7%) | 36(34.3%) | 69(65.7%) | |||
| Yes | 51 (43.6%) | 13(25.5%) | 38(74.5%) | .114 | – | – |
| No | 66 (56.4%) | 26(39.4%) | 40(60.6%) | |||
| Yes | 19 (16.2%) | 6(31.6%) | 13(68.4%) | .859 | – | – |
| No | 98 (83.8%) | 33(33.7%) | 65(66.3%) | |||
| Yes | 12 (10.3%) | 4(33.3%) | 8(66.7%) | 1 | – | – |
| No | 105 (89.7%) | 35(33.3%) | 70(66.7%) | |||
32 (4–104) | 22.5 (3–250) | .582 | – | – | ||
| Yes | 82(70.1%) | 26(31.7%) | 56(68.3%) | .568 | – | – |
| No | 35(29.9%) | 13(37.1%) | 22(62.9%) | |||
| Yes | 56(47.9%) | 17(30.4%) | 39(69.6%) | .513 | – | – |
| No | 61(52.1%) | 22(36.1%) | 39(63.9%) | |||
| Yes | 50(42.7%) | 16(32%) | 34(68%) | .792 | – | – |
| No | 67(57.3%) | 23(34.3%) | 44(65.7%) | |||
ICU Intensive Care Unit
a Median (range)
b Documented during admission
* Chi-squared test for nominal variables and Mann Whitney U test for numerical values
Hypokalemia status with subjects’ treatment data & details via univariable and logistic regression analysis
250 (40–2550) | 320 (40–2550) | 200 (40–1150) | .006 | .098 | 1.001 (1–1.003) | |
6 (2–220) | 10 (2–40) | 6 (2–220) | .816 | – | – | |
| Yes | 32(27.4%) | 8(25%) | 24(75%) | .241 | – | – |
| No | 85(72.6%) | 31(36.5%) | 54(63.5%) | |||
| Yes | 65(55.6%) | 22(33.8%) | 43(66.2%) | .895 | – | – |
| No | 52(44.4%) | 17(32.7%) | 35(67.3%) | |||
| Yes | 36(30.8%) | 17(47.2%) | 19(52.8%) | .034 | .235 | 1.81 (.68–4.85) |
| No | 81(69.2%) | 22(27.2%) | 59(72.8%) | |||
| Yes | 15(12.8%) | 5(33.3%) | 10(66.7%) | 1 | – | – |
| No | 102(87.2%) | 34(33.3%) | 68(66.7%) | |||
| Yes | 15(12.8%) | 6(40%) | 9(60%) | .557 | – | – |
| No | 102(87.2%) | 33(32.4%) | 69(67.6%) | |||
| Yes | 14(12%) | 2(14.3%) | 12(85.7%) | .107 | – | – |
| No | 103(88%) | 37(35.9%) | 66(64.1%) | |||
| Yes | 78(66.7%) | 24(30.8%) | 54(69.2%) | .405 | – | – |
| No | 39(33.3%) | 15(38.5%) | 24(61.5%) | |||
| Yes | 44(37.6%) | 19(43.2%) | 25(56.8%) | .079 | .062 | .398 (.151–1.05) |
| No | 73(62.4%) | 20(27.4%) | 53(72.6%) | |||
ICU Intensive Care Unit
Median (range)
b Documented during admission
* Chi-squared test for nominal variables and Mann Whitney U test for numerical values