| Literature DB >> 35174186 |
Huang-Yu Yang1,2, Yun-Shiuan Olivia Hsu3,4, Tao Han Lee2, Chao-Yi Wu5, Chung-Ying Tsai2, Li-Fang Chou2, Hui-Tzu Tu6, Yu-Tung Huang6, Shang-Hung Chang6,7,8, Chieh-Li Yen2, Meng-Hsuan Hsieh9, Cheng-Chia Lee2, George Kuo2, Chih-Yen Hsiao10, Hsing-Lin Lin11, Jia-Jin Chen2, Tzung-Hai Yen2, Yung-Chang Chen2, Ya-Chong Tian2, Chih-Wei Yang2, Gerard F Anderson1.
Abstract
BACKGROUND: Advanced chronic kidney disease (CKD) patients are at higher risk of sepsis-related mortality following infection and bacteremia. Interestingly, the urate-lowering febuxostat and allopurinol, both xanthine oxidase inhibitors (XOis), have been suggested to influence the sepsis course in animal studies. In this study, we aim to investigate the relationship between XOis and infection/sepsis risk in pre-dialysis population.Entities:
Keywords: MACCE; allopurinol; chronic kidney disease; febuxostat; sepsis
Year: 2022 PMID: 35174186 PMCID: PMC8841527 DOI: 10.3389/fmed.2021.818132
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Figure 1Flowchart of patient selection.
Baseline Patient Characteristics before Propensity Score Weighting.
|
|
|
|
| |
|---|---|---|---|---|
| Age, year, mean (SD) | 71 ( | 69 ( | 67 ( | 0.2919 |
| Male, no. (%) | 3,146 (49.17) | 2,175 (65.35) | 1,830 (68.90) | 0.4095 |
|
| 0.0463 | |||
| Urban | 3,368 (52.6) | 1,755 (52.73) | 1,433 (53.95) | |
| Suburban | 2,168 (33.89) | 1,120 (33.65) | 852 (32.08) | |
| Rural | 844 (13.19) | 442 (13.28) | 362 (13.63) | |
| Unknown | 18 (0.28) | 11 (0.33) | 9 (0.34) | |
|
| 0.0711 | |||
| Quintile 1 (Lowest) | 1,683 (26.31) | 819 (24.61) | 594 (22.34) | |
| Quintile 2 | 1,355 (21.18) | 288 (8.65) | 744 (28.01) | |
| Quintile 3 | 1,423 (22.24) | 1,153 (34.65) | 403 (15.17) | |
| Quintile 4 | 716 (11.19) | 384 (11.54) | 351 (13.22) | |
| Quintile 5 (Highest) | 1,219 (19.05) | 683 (20.52) | 564 (21.23) | |
| Unknown | 2 (0.03) | 1 (0.03) | – | |
|
| 0.1637 | |||
| Dependents of the insured individuals | 2,570 (40.17) | 1,288 (38.70) | 988 (37.20) | |
| Civil servants, teachers, military personnel and veterans | 597 (9.33) | 305 (9.16) | 230 (8.66) | |
| Non-manual workers and professionals | 403 (6.30) | 274 (8.23) | 264 (9.94) | |
| Manual workers | 2,151 (33.62) | 1,081 (32.48) | 928 (34.94) | |
| Other | 677 (10.58) | 380 (11.42) | 246 (9.26) | |
|
| ||||
| Diabetes mellitus | 4,287 (67.01) | 2,251 (67.64) | 1,515 (57.04) | 0.2200 |
| Hypertension | 6,124 (95.72) | 3,182 (95.61) | 2,553 (96.12) | 0.0256 |
| Dyslipidemia | 3,771 (58.94) | 2,014 (60.52) | 1,513 (56.97) | 0.0722 |
| Liver cirrhosis | 272 (4.25) | 159 (4.78) | 119 (4.48) | 0.0254 |
| SLE | 53 (0.83) | 32 (0.96) | 15 (0.56) | 0.0456 |
| Atrial fibrillation | 403 (6.30) | 216 (6.49) | 147 (5.53) | 0.0402 |
| Peripheral arterial disease | 455 (7.11) | 189 (5.68) | 131 (4.93) | 0.0917 |
|
| ||||
| ACEi | 419 (6.55) | 157 (4.72) | 184 (6.93) | 0.0945 |
| ARB | 2,552 (39.89) | 1,430 (42.97) | 1,142 (43.00) | 0.0632 |
| CCB | 4,753 (74.29) | 2,588 (77.76) | 2,096 (78.92) | 0.1095 |
| Beta-blockers | 2,061 (32.21) | 1,128 (33.89) | 948 (35.69) | 0.0735 |
| Diuretics | 3,962 (61.93) | 2,084 (62.62) | 1,613 (60.73) | 0.0389 |
| Aspirin | 1,391 (21.74) | 730 (21.94) | 644 (24.25) | 0.0596 |
| Other NSAIDs | 1,798 (28.10) | 989 (29.72) | 840 (31.63) | 0.0771 |
| Fibrates | 258 (4.03) | 162 (4.87) | 140 (5.27) | 0.0588 |
| Statin | 2,015 (31.49) | 1,304 (39.18) | 906 (34.11) | 0.1614 |
| Thiazolidinedione | 133 (2.08) | 72 (2.16) | 54 (2.03) | 0.0091 |
ACEi, angiotensin converting enzyme inhibitor; ARB, angiotensin II receptor blocker; ASMD, absolute standardized mean difference; CCB, calcium channel blocker; NSAIDs, non-steroidal anti-inflammatory drugs; SLE, systemic lupus erythematosus.
Outcome incidences and hazard ratios.
|
|
| |||||
|---|---|---|---|---|---|---|
|
|
|
|
|
|
| |
|
| ||||||
| Non-users | 2,893/1,0797.87 | 26.79 (25.82–27.77) | Reference | 2,787/1,0858.89 | 25.67 (24.71–26.62) | Reference |
| Febuxostat users | 1,166/4,669.9 | 24.97 (23.54–26.40) | 0.87 (0.81–0.93); | 1,148/4,535.07 | 25.31 (23.84–26.77) | 0.93 (0.87–0.99); |
| Allopurinol users | 1,192/5,657.95 | 21.07 (19.87–22.26) | 0.82 (0.77–0.88); | 1,146/4,992.15 | 22.96 (21.63–24.29) | 0.92 (0.86–0.99); |
|
| ||||||
| Non-users | 295/1,4551.41 | 2.03 (1.8–2.26) | Reference | 280/1,4515.8 | 1.93 (1.7–2.15) | Reference |
| Febuxostat users | 76/5,844.7 | 1.3 (1.01–1.59) | 0.62 (0.48–0.8); | 76/5,708.15 | 1.33 (1.03–1.63) | 0.68 (0.52–0.87); |
| Allopurinol users | 107/7,490.06 | 1.43 (1.16–1.7) | 0.72 (0.58–0.9); | 113/6,665.77 | 1.69 (1.38–2.01) | 0.89 (0.71–1.10); |
|
| ||||||
| Non-users | 1,794/12,200.04 | 14.70 (14.02–15.39) | Reference | 1,765/1,2177.18 | 14.50 (13.82–15.17) | Reference |
| Febuxostat users | 775/5,048.18 | 15.35 (14.27–16.43) | 0.97 (0.89–1.06); | 738/4,937.29 | 14.95 (13.87–16.02) | 0.97 (0.89–1.06); |
| Allopurinol users | 775/6,278.94 | 12.34 (11.47–13.21) | 0.88 (0.81–0.95); | 732/5,574.63 | 13.14 (12.19–14.09) | 0.93 (0.85–1.01); |
|
| ||||||
| Non-users | 2,168/1,4551.41 | 14.90 (14.27–15.53) | Reference | 2,041/1,4515.8 | 14.06 (13.45–14.67) | Reference |
| Febuxostat users | 672/5,844.7 | 11.50 (10.63–12.37) | 0.74 (0.68–0.81); | 687/5,708.15 | 12.03 (11.13–12.93) | 0.82 (0.76–0.90); |
| Allopurinol users | 771/7,490.06 | 10.29 (9.57–11.02) | 0.71 (0.65–0.77); | 768/6,665.77 | 11.53 (10.71–12.34) | 0.83 (0.77–0.90); |
PSW, Propensity score weighting.
Figure 2Survival Probability of Pre-Dialysis Stage 5 CKD Patients. Survival curves were created using the Kaplan Meier estimator. (A): Sepsis/Infection (Log-rank test, P < 0.0254); (B): Sepsis/Infection-Related Mortality (Log-rank test, P < 0.0228); (C): Major Adverse Cardiac and Cerebrovascular Events, MACCEs (Log-rank test, P < 0.2681); (D): All-Cause Mortality (Log-rank test, P < 0.0001).
Figure 3Subgroup analysis of (A) sepsis/infection-related mortality and (B) sepsis/infection. Hazard ratios (HRs) less than one favors febuxostat use. Each variable was adjusted for all other variables listed in Table 1. HBV indicates hepatitis B virus infection; HCV, hepatitis C virus infection; SLE, systemic lupus erythematosus; ACEi, angiotensin converting enzyme inhibitor; ARB, angiotensin II receptor blocker; CCB, calcium channel blocker; NSAID, non-steroidal anti-inflammatory drug.