| Literature DB >> 32983385 |
S Takeshita1, M Sonohata1, M Kitajima1, S Kawano1, S Eto1, M Mawatari1.
Abstract
INTRODUCTION: Post-operative acute kidney injury is a serious complication and identifying modifiable factors could assist in peri-operative management. This study aimed to identify the pre-operative and intra-operative factors associated with the incidence of post-operative acute kidney injury and acute deterioration of kidney function after total hip arthroplasty.Materials and methods: This single-center, retrospective, observational study included 203 patients who underwent unilateral primary total hip arthroplasty. Acute kidney injury was determined using biochemical markers according to the risk, injury, failure, loss of kidney function, and end-stage kidney disease (RIFLE) criteria. Acute deterioration of kidney function was defined as the reduction of estimated glomerular filtration rate by ≥10ml/min/1.73m2.Entities:
Keywords: acute deterioration of kidney function; acute kidney injury; diabetes mellitus; nonsteroidal anti-inflammatory drugs; total hip arthroplasty
Year: 2020 PMID: 32983385 PMCID: PMC7513646 DOI: 10.5704/MOJ.2007.020
Source DB: PubMed Journal: Malays Orthop J ISSN: 1985-2533
Fig. 1:Flowchart of patient selection.
Demographic Characteristics of the Study Participants
| Number of patients | 203 |
|---|---|
| Number of hips | 203 |
| Male, female (number of patients) | 34, 169 |
| Age, years (mean±SD, range) | 65.3±10.9, 37-90 |
| Height, cm (mean±SD, range) | 153±9.7, 118-179 |
| Weight, kg (mean±SD, range) | 57.3±11.8, 28.7-100 |
| BMI, kg/m2 (mean±SD, range) | 24.3±4.1, 16-43 |
| Diagnosis (number of patients, (male, female)) | |
| Developmental dysplasia of the hip | 185 (25,160) |
| Osteonecrosis | 7 (6,1) |
| Trauma | 3 (2,1) |
| Rheumatoid arthritis | 3 (0,3) |
| Rapidly destructive coxarthropathy | 3 (0,3) |
| Perthes disease | 2 (1,1) |
| Pre-operative NSAIDs use (number of patients, (%)) | 55 (27%) |
| Pre-operative ACEI/ARB use (number of patients, (%)) | 48 (24%) |
| Pre-operative diuretic use (number of patients, (%)) | 8 (3.9%) |
| Pre-operative statin use (number of patients, (%)) | 39 (19%) |
| History of diabetes mellitus (number of patients, (%)) | 20 (10%) |
| Anaesthetic type | |
| Spinal (number of patients, (%)) | 195 (96%) |
| General (number of patients, (%)) | 8 (4%) |
| Operation time (min) | 49±19.0, 29-158 |
| Total blood loss (g) | 292±130.8, 14-704 |
*SD - standard deviation; BMI - body mass index; NSAIDs - nonsteroidal anti-inflammatory drugs; ACEI - angiotensin-converting enzyme inhibitor; ARB - angiotensin-II receptor blocker
Factors associated with pre-operative CKD
| Descriptor | Pre-operative CKD N=40 | No Pre-operative CKD N=163 | Univariate P value | Multivariate Odds Ratio | 95% Confidence Interval | P value |
|---|---|---|---|---|---|---|
| Gender (Male, Female) | 10, 30 | 24, 139 | 0.119 | 2.424 | 0.877-6.705 | 0.088 |
| Age (years) (mean±SD, range) | 73.9±9.7, 43-90 | 63.2±10.1, 37-87 | <0.001 | 1.114 | 1.065-1.165 | <0.001 |
| BMI (kg/m[ | 24.5±3.7, 17.7-34.7 | 24.2±4.2, 16.0-42.7 | 0.736 | |||
| Pre-operative NSAIDs use | ||||||
| Yes | 12 (30%) | 43 (26%) | 0.644 | |||
| No | 28 (70%) | 120 (74%) | ||||
| Pre-operative ACEi/ARB use | ||||||
| Yes | 14 (35%) | 36 (28%) | 0.089 | 1.197 | 0.494-2.897 | 0.690 |
| No | 26 (65%) | 127 (78%) | ||||
| Pre-operative diuretics use | ||||||
| Yes | 6 (15%) | 2 (1%) | <0.001 | 6.902 | 1.191-40.006 | 0.031 |
| No | 34 (85%) | 161 (99%) | ||||
| Pre-operative statin use | ||||||
| Yes | 12 (30%) | 27 (17%) | 0.053 | 1.363 | 0.538-3.455 | 0.514 |
| No | 28 (70%) | 136 (83%) | ||||
| History of diabetes mellitus | ||||||
| Yes | 7 (18%) | 13 (8%) | 0.07 | 0.973 | 0.277-3.418 | 0.966 |
| No | 33 (82%) | 150 (92%) |
*CKD, chronic kidney disease; SD, standard deviation; BMI, body mass index; NSAIDs, nonsteroidal anti-inflammatory drugs; ACEi, angiotensin-converting enzyme inhibitor; ARB, angiotensin-II receptor blocker.
Fig. 2:Relationship between age and pre-operative renal function (R=-0.420, p<0.001). eGFR, estimated glomerular filtration rate.
Fig. 3:95% Confidence Interval of factors associated with preoperative CKD.
Factors associated with deterioration of renal function one week after THA
| Descriptor | Deterioration of renal function N=14 | No deterioration of renal function N=189 | Univariate P value | Multivariate Odds Ratio | 95% Confidence Interval | P value |
|---|---|---|---|---|---|---|
| Gender (Male, Female) | 4, 10 | 30, 159 | 0.22 | 0.479 | 0.102-2.259 | 0.352 |
| Age (years) (mean±SD, range) | 69.2±8.1, 54-84 | 65.0±11.0, 37-90 | 0.164 | 1.054 | 0.991-1.121 | 0.097 |
| BMI (kg/m[ | 24.6±4.1, | 24.3±4.1, | ||||
| (mean±SD, range) | 16.8-30.5 | 16.0-42.7 | 0.748 | |||
| Pre-operative NSAIDs use | ||||||
| Yes | 7 (50%) | 48 (25%) | 0.046 | 5.014 | 1.187-21.174 | 0.028 |
| No | 7 (50%) | 141 (75%) | ||||
| Pre-operative ACEi/ARB use | ||||||
| Yes | 5 (36%) | 45 (24%) | 0.318 | |||
| No | 9 (64%) | 144 (76%) | ||||
| Pre-operative diuretics use | ||||||
| Yes | 1 (7%) | 7 (4%) | 0.523 | |||
| No | 13 (93%) | 182 (96%) | ||||
| Pre-operative statin use | ||||||
| Yes | 3 (21%) | 36 (19%) | 0.827 | |||
| No | 11 (79%) | 153 (81%) | ||||
| History of diabetes mellitus | ||||||
| Yes | 4 (29%) | 16 (8%) | 0.015 | 7.106 | 1.332-37.916 | 0.022 |
| No | 10 (71%) | 173 (92%) | ||||
| Pre-operative eGFR | 89.8±26.1, | 89.8±9.7, 43-90 | 0.07 | 1.057 | 1.023-1.093 | 0.001 |
| 53.3-142.4 | ||||||
| Post-operative NSAIDs use | ||||||
| Yes | 14 (100%) | 180 (95%) | 0.404 | |||
| No | 0 (0%) | 9 (5%) | ||||
| Operation time (min) | 56.1±25.0, 30-120 | 48.7±9.7, 43-90 | 0.162 | 1.007 | 0.984-1.031 | 0.543 |
| (mean±SD, range) | ||||||
| Total blood loss (g) | 287±143, 617-77 | 293±9.7, 43-90 | 0.885 | |||
| (mean±SD, range) | ||||||
| Anaesthetic type | ||||||
| Spinal | 12 (86%) | 183 (97%) | 0.039 | 3.456 | 0.390-30.654 | 0.265 |
| General | 2 (14%) | 6 (3%) |
*THA, total hip arthroplasty; SD, standard deviation; BMI, body mass index; NSAIDs, nonsteroidal anti-inflammatory drugs; ACEi, angiotensin-converting enzyme inhibitor; ARB, angiotensin-II receptor blocker; eGFR, estimated glemerular filtration rate.
Fig. 4:95% Confidence Interval of factors associated with deterioration of renal function one week after THA.