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BMC Musculoskeletal Disorders logoLink to BMC Musculoskeletal Disorders
. 2025 Jul 4;26:596. doi: 10.1186/s12891-025-08742-5

Risk factors for general complications after hip or knee replacement surgery in elderly patients: a single-center study

Huaxing Zhang 1,, Jingjing Cao 2, Jia Chen 3, Xiaoran Ning 2
PMCID: PMC12231899  PMID: 40615826

Abstract

Purpose

To determine the risk factors for complications after hip or knee replacement surgery in elderly patients.

Methods

In total, 401 elderly patients (aged ≥ 65 years) who underwent hip or knee replacement surgery at a hospital from January 2017 to December 2022 were retrospectively analyzed. Univariate analysis was performed to identify significant variables. Risk factors and the effects of the model were examined by unconditional binary logistic regression analyses and receiver operating characteristic (ROC) curve analysis, respectively.

Results

A total of 122 (30.42%) patients were diagnosed with complications after hip or knee replacement surgery, and the independent risk factors for complications were age, body mass index (BMI) and hypertension. Fifty-six patients (13.97%) developed lower extremity venous thrombosis (LEVT), and the independent risk factors were hypertension, surgical joint type and visual analog scale (VAS) pain score. Cardiopulmonary complications occurred in 50 patients (12.47%), and the independent risk factors were age and BMI. Postoperative delirium occurred in 15 patients (3.74%), and its independent risk factors were age and American Society of Anesthesiologists (ASA) grade. Two or more complications occurred in 17 patients (4.24%), and the independent risk factors were age and diabetes.

Conclusions

This study focused on elderly patients with risk factors for complications after hip or knee replacement surgery. Clinically, elderly patients undergoing hip or knee replacement surgery should perform well in terms of preoperative and perioperative management.

Keywords: Replacement, Complications, Risk factors


With the continuous progress in artificial joint prosthesis materials and surgical techniques, hip or knee replacement surgery has gradually become a routine operation for the treatment of end-stage hip and knee joint diseases or certain fractures, and the number of such surgeries is increasing every year [13]. Moreover, the age range for treatment is no longer limited [4, 5], and the surgical outcomes have been widely recognized [6, 7]. Advanced age is no longer a contraindication for hip and knee replacement surgery, and the age standard for such surgery has been relaxed to 80 years. A recent study [8] found that strictly adhering to surgical indications in patients over 80 years old for total hip arthroplasty (THA) or total knee arthroplasty (TKA) not only does not affect life expectancy but can also improve their quality of life with satisfactory surgical outcomes. However, as a type of major surgery, hip and knee replacement can cause significant trauma and economic burden to patients if complications occur. Elderly patients are more prone to perioperative complications [6], including infection, venous thromboembolism (VTE), cardiopulmonary complications, dislocation, and periprosthetic fracture, after hip and knee replacement surgery [911]. However, there has been no systematic statistical analysis of risk factors for various complications. Most of the studies were analyzed for one complication or specific functional complications after surgery, or for the complications of one joint replacement surgery, and there were few studies on the risk factors of general Complications.

To further clarify the risk factors for complications after hip or knee replacement surgery in elderly patients, this study retrospectively analyzed elderly patients (aged ≥ 65 years) who underwent such surgery in a hospital from January 2017 to December 2022 to determine the risk factors for postoperative complications. The correct identification of early risk factors is not only an effective measure to reduce postoperative complications and ensure the quality and safety of surgery but also a concrete reflection of the medical staff’s ability to manage patients and surgical techniques during the perioperative period.

Data and methods

Patients

Patients who underwent hip or knee replacement surgery at a hospital between January 2017 and December 2022 were included in this study. Surgeries involving prosthetic reconstruction following hip tumor resection were excluded. Hip replacement surgeries included both cementless and cemented THA, as well as partial hip arthroplasty. Knee replacement surgeries included TKA and partial knee arthroplasty [12, 13]. Surgical indications included various forms of arthritis (osteoarthritis, rheumatoid arthritis, traumatic arthritis, etc.) unresponsive to conservative treatment, femoral head osteonecrosis, and joint fractures.

Inclusion criteria: patients aged 65 years and older who were hospitalized for hip or knee replacement surgery and followed up for at least six months.

Exclusion criteria: patients under 65 years of age, incomplete clinical data, and those with severe preoperative cardiovascular or respiratory diseases where symptoms were apparent and could not be controlled despite appropriate treatment.

Risk factors

This retrospective study collected data on sex, age, BMI, disease and surgery type, surgical site, anesthesia method, American Society of Anesthesiologists (ASA) physical status classification, length of stay (LOS), VAS pain score, duration of anesthesia and surgery, surgery start and end times, smoking status, alcohol abuse, blood transfusion, and the presence of chronic conditions such as diabetes and hypertension. These data were used to analyze the risk factors associated with complications after hip or knee arthroplasty.

General complications after hip or knee replacement

Complications considered in this study refer to general medical postoperative complications, such as lower extremity venous thrombosis, cardiovascular events, pulmonary complications, postoperative delirium, incision infection, and complications of the digestive and urinary systems. These do not include specific postoperative functional complications (e.g., stiff TKA, hip dislocation).

Diagnostic criteria were as follows:

  • Cardiopulmonary complications: the emergence of new cardiac or pulmonary symptoms or signs after surgery, diagnosed based on positive findings from lung CT and electrocardiography.

  • Postoperative delirium: symptoms such as hyperarousal, irritability, and impaired consciousness occurring after surgery, diagnosed following a neurological consultation.

  • Lower extremity venous thrombosis: no thrombus detected by preoperative lower extremity venous Doppler ultrasound, but thrombus identified postoperatively via Doppler ultrasound.

  • Digestive and urinary system complications: newly developed symptoms of gastrointestinal or urinary system disorders post-surgery, diagnosed by the relevant departments.

Statistical analysis

Statistical analysis was performed using SPSS 21.0 (IBM). Continuous variables are expressed as mean ± standard deviation (SD) and analyzed using independent samples t-tests. Categorical variables and rates were compared using analysis of variance (ANOVA). Univariate statistical analysis and clinically significant factors identified by experts were included in the unconditional binomial logistic regression model. A p-value < 0.05 was considered statistically significant. The area under the curve (AUC) was used to evaluate the performance of the logistic regression model; the closer the AUC is to 1.0, the better the model’s predictive ability [14].

Results

Case data

Data from a total of 792 patients were retrospectively collected in this study. Among them, 354 patients were younger than 65 years, 23 patients had incomplete data, and 14 patients with severe pulmonary diseases were excluded. A total of 401 patients (296 females, 73.82%, and 105 males, 26.18%) were included in the study (Fig. 1).

Fig. 1.

Fig. 1

Flowchart of the study

Among the patients included in the study, 255 cases (63.59%) were 65 to 74 years old, 116 cases (28.93%) were 75 to 84 years old, and 30 cases (7.48%) were 85 years old and above. There were 222 cases of hip replacement (55.36%) and 179 cases of knee replacement (44.64%). A total of 129 patients (32.17%) underwent emergency surgery, and 274 patients (67.83%) underwent elective surgery. The study found that 122 patients (30.42%) had postoperative complications. The types of complications included LEVT (56, 13.97%), cardiopulmonary complications (50, 12.47%), postoperative delirium (15, 3.74%), digestive system complications (6, 1.50%), urinary system complications (5, 1.25%), and incision infection (3, 0.75%). There were 17 patients (4.24%) with two or more complications (Table 1).

Table 1.

Basic characteristics of the patients included in the study

Characteristics Categories Cases Proportion
Gender Female 296 73.82%
Male 105 26.18%
Age 65–74 255 63.59%
75–84 116 28.93%
≥ 85 30 7.48%
Surgical joint Hip 222 55.36%
Knee 179 44.64%
Surgery time limit Emergency 129 32.17%
Elective 274 67.83%
Incidence of Complications Postoperative complications 122 30.42%
LEVT 56 13.97%
Cardiopulmonary complications 50 12.47%
Postoperative delirium 15 3.74%
Digestive system complications 6 1.50%
Urinary system complications 5 1.25%
Incision infection 3 0.75%
Two or more complications 17 4.24%

Results of univariate statistical analysis of complications

The mean age of the 122 patients (93 females, 29 males) with complications was 75 ± 7.78 years, and the mean age of the 279 patients (203 females and 76 males) without complications was 72.39 ± 6.25 years. Univariate analysis revealed that age, BMI, hypertension, and anesthesia methods were significantly different in elderly patients with complications after hip or knee replacement surgery (P < 0.05) (Table 2).

Table 2.

Univariate analysis of related factors between patients with and without complications

Risk Factors Complications No complications OR 95% CI P
(n = 122) (n = 279) Lower Upper
Gender 0.833 0.509 1.364 0.467
 Male 29 76
 Female 93 203
Age 75 ± 7.78 72.39 ± 6.25 1.033 4.179 0.001
BMI 1.617 1.03 2.538 0.036
 18.5–27.9 76 203
 <18.4, ≥ 28 46 76
Smoking 0.934 0.482 1.811 0.84
 Yes 14 34
 No 108 245
Alcohol abuse 0.748 0.309 1.809 0.518
 Yes 7 21
 No 115 258
Diabetes 0.955 0.584 1.563 0.856
 Yes 30 71
 No 92 208
Hypertension 1.635 1.039 2.573 0.033
 Yes 85 163
 No 37 116
Types of disease 1.365 0.891 2.091 0.152
 Fracture 65 127
 Nonfracture 57 152
Surgery time limit 1.466 0.94 2.288 0.091
 Emergency 47 82
 Elective 77 197
Surgical joint 1.18 0.768 1.814 0.45
 Hip 71 151
 Knee 51 128
Type of surgery 0.654 0.426 1.003 0.051
Total joint replacement 54 153
Partial joint replacement 68 126
LOS 3.70 ± 2.41 3.98 ± 3.23 -0.926 0.356 0.382
VAS pain score 0.699 0.449 1.088 0.112
 ≤ 4 74 192
 ≥ 5 48 87
Anesthesia 0.031
Spinal anesthesia 78 181
General anesthesia 27 37
Combined anesthesia 17 61
Blood transfusion 1.589 0.983 2.568 0.058
 Yes 37 60
 No 85 219
ASA grade 0.675 0.432 1.056 0.084
 I-II 40 117
 IV-III 82 162
Start time of surgery 0.785 0.505 1.221 0.283
 8:00–14:00 75 187
 14:00–24:00 47 92
End time of surgery 0.814 0.526 1.259 0.354
8:00–14:00 46 119
14:00–24:00 76 160
Duration of stay in the operating room(minutes) 250.69 ± 88.53 256.73 ± 114.27 -28.900 16.814 0.604
Duration of anesthesia (minutes) 233.03 ± 87.88 238.64 ± 113.28 -28.279 17.054 0.627
Duration of surgery (minutes) 139.55 ± 78.34 140.07 ± 63.91 -15.159 14.121 0.944

OR: odds ratio, CI: confidence interval

Results of unconditional binomial logistic regression analysis of complications

The risk factors that were statistically significant in univariate analysis and the significant factors considered by clinical experts (ASA grade, blood transfusion, and duration of surgery) were included in the unconditional binomial logistic regression analysis. The results revealed that age, BMI, and hypertension were independent risk factors for complications after hip or knee replacement surgery in elderly patients (P < 0.05) (Table 3).

Table 3.

Unconditional binary logistic regression analysis of risk factors

Type Risk Factors β Standardized error Wald P-value OR 95% CI
Lower Upper
Postoperative complications Age 0.637 0.171 13.841 0 1.891 1.352 2.644
BMI 0.568 0.237 5.723 0.017 1.764 1.108 2.809
Hypertension 0.477 0.237 4.038 0.044 1.611 1.012 2.566
Constant -2.829 0.479 34.918 0 0.059
LEVT Hypertension 0.994 0.35 8.072 0.004 2.702 1.361 5.365
Surgical joint 0.729 0.302 5.829 0.016 2.072 1.147 3.744
VAS pain score 0.911 0.301 9.161 0.002 2.488 1.379 4.489
Constant -4.88 0.773 39.897 0 0.008
Cardiopulmonary complications Age 0.834 0.216 14.865 0 2.302 1.507 3.517
BMI 0.688 0.319 4.638 0.031 1.99 1.064 3.721
Constant -4.182 0.627 44.477 0 0.015
Postoperative delirium Age 0.866 0.368 5.533 0.019 2.378 1.155 4.893
ASA grade 1.771 1.07 2.738 0.098 5.879 0.721 47.91
Constant -7.906 2.042 14.985 0 0
Two or more complications Age 1.353 0.344 15.504 0 3.869 1.973 7.588
DM 1.485 0.527 7.954 0.005 4.415 1.573 12.393
Constant -5.992 0.81 54.675 0 0.002

The AUC was 0.639 (95% CI: 0.58–0.698; Fig. 2; Table 4), indicating that the predictive effect of the logistic regression model was general.

Fig. 2.

Fig. 2

AUC of the predicted meaningful and risk factors for complications

Table 4.

AUC of the predicted meaningful and risk factors

Complications Area Std. Errora Asymptotic Sig.b Asymptotic 95% Confidence Interval
Lower Bound Upper Bound
Postoperative complications 0.639 0.03 0 0.580 0.698
LEVT 0.681 0.037 0 0.609 0.753
Cardiopulmonary complications 0.658 0.044 0 0.571 0.745
Postoperative delirium 0.77 0.049 0 0.675 0.865
Two or more complications 0.77 0.063 0 0.647 0.893

Results of univariate statistical analysis of LEVT

The mean age of the 56 patients (45 females, 11 males) with LEVT was 72.66 ± 6.97 years, and the mean age of the 345 patients (251 females, 94 males) without LEVT was 73.27 ± 6.83 years. Among the 56 patients with LEVT, 16 patients were diagnosed deep vein thrombosis (DVT), 39 patients were diagnosed muscular vein thrombosis, 1 patients were diagnosed DVT and muscular vein thrombosis. Univariate analysis revealed that hypertension, surgical joints, and VAS pain scores were significantly different in elderly patients with or without LEVT after hip or knee replacement surgery (P < 0.05) (Table 5).

Table 5.

Univariate analysis of related factors between patients with and without LEVT

Risk Factors Complications No complications OR 95% CI P
(n = 56) (n = 345) Lower Upper
Gender 0.653 0.324 1.315 0.23
 Male 11 94
 Female 45 251
Age 72.66 ± 6.97 73.27 ± 6.83 -2.55 1.33 0.536
BMI 1.585 0.884 2.844 0.12
 18.5–27.9 22 100
 <18.4, ≥ 28 34 245
Hypertension 2.534 1.292 4.97 0.005
 Yes 44 204
 No 12 141
Surgical joint 0.557 0.315 0.985 0.042
 Hip 24 198
 Knee 32 147
VAS pain score 0.45 0.254 0.796 0.005
 ≤ 4 28 238
 ≥ 5 28 107
Types of disease 0.726 0.409 1.287 0.271
 Fracture 23 169
 Non-fracture 33 176
ASA grade 1.195 0.675 2.118 0.54
 I-II 24 133
 IV-III 32 212

Results of unconditional binomial logistic regression analysis of LEVT

The risk factors that were statistically significant in univariate analysis and the significant factors considered by clinical experts (ASA grade, type of disease) were included in the unconditional binomial logistic regression analysis. The results revealed that hypertension, surgical joint type, and VAS pain score were independent risk factors for LEVT after hip or knee replacement surgery in elderly patients (P < 0.05) (Table 3).

The AUC was 0.681 (95% CI: 0.609–0.753; Fig. 3; Table 4), indicating that the predictive effect of the logistic regression model was general.

Fig. 3.

Fig. 3

AUC of the predicted meaningful and risk factors for LEVT

Results of univariate statistical analysis of cardiopulmonary complications

The mean age of the 50 patients (36 females, 14 males) with cardiopulmonary complications was 76.82 ± 8.13 years, and the mean age of the 351 patients (260 females, 91 males) without cardiopulmonary complications was 72.67 ± 6.50 years. Univariate analysis revealed that age, type of disease, surgical joint, type of surgery, anesthesia, ASA grade, and blood transfusion were statistically significant in elderly patients with or without cardiopulmonary complications after hip or knee replacement (P < 0.05) (Table 6).

Table 6.

Univariate analysis of related factors between patients with and without cardiopulmonary complications

Risk Factors Complications No complications OR 95% CI P
(n = 50) (n = 351) Lower Upper
Gender 1.111 0.573 2.154 0.755
 Male 14 91
 Female 36 260
Age 76.82 ± 8.13 72.67 ± 6.50 1.747 6.554 0.001
BMI 1.585 0.884 2.844 0.12
 18.5–27.9 22 100
 <18.4, ≥ 28 34 245
Types of disease 1.925 1.048 3.538 0.033
 Fracture 31 161
 Non-fracture 19 190
Surgical joint 2.281 1.189 4.378 0.011
 Hip 36 186
 Knee 14 165
Type of surgery 0.531 0.289 0.976 0.039
 Total joint replacement 19 188
Partial joint replacement 31 163
Anesthesia 0.000
 Spinal anesthesia 28 231
 General anesthesia 18 46
 Combined anesthesia 4 74
Blood transfusion 2.145 1.149 4.004 0.015
 Yes 19 78
 No 31 273
ASA grade 0.505 0.259 0.984 0.042
 I-II 13 144
 IV-III 37 207
Duration of surgery (minutes) 132.64 ± 82.35 140.95 ± 66.40 -28.678 12.066 0.423

Results of unconditional binomial logistic regression analysis of cardiopulmonary complications

The risk factors that were statistically significant in univariate analysis and the significant factors considered by clinical experts (BMI, duration of surgery) were included in the unconditional binomial logistic regression analysis. The results revealed that age and BMI were independent risk factors for cardiopulmonary complications after hip or knee replacement surgery in elderly patients (P < 0.05) (Table 3).

The AUC was 0.658 (95% CI: 0.571–0.745; Fig. 4; Table 4), indicating that the predictive effect of the logistic regression model was general.

Fig. 4.

Fig. 4

AUC of the predicted meaningful and risk factors for cardiopulmonary complications

Results of univariate statistical analysis of postoperative delirium

The average age of the 15 patients (12 females, 3 males) who developed postoperative delirium was 78.27 ± 6.33 years, and the average age of the 386 patients (284 females, 102 males) who did not develop postoperative delirium was 72.99 ± 6.80 years. Univariate analysis revealed that age, type of disease, surgical joint, type of surgery, and ASA grade were significantly different between elderly patients with and without postoperative delirium after hip or knee replacement (P < 0.05) (Table 7).

Table 7.

Univariate analysis of related factors between patients with and without postoperative delirium

Risk Factors Complications No complications OR 95% CI P
(n = 15) (n = 386) Lower Upper
Gender
 Male 3 102 0.696 0.193 2.517 0.798
 Female 12 284
Age 78.27 ± 6.33 72.99 ± 6.80 1.767 8.787 0.003
BMI 1.591 0.553 4.572 0.561
 18.5–27.9 6 114
 <18.4, ≥ 28 9 272
Types of disease 4.578 1.272 16.479 0.011
 Fracture 12 180
 Non-fracture 3 206
Surgical joint 3.352 0.931 12.068 0.05
 Hip 12 210
 Knee 3 176
Type of surgery 0.223 0.062 0.803 0.012
Total joint replacement 3 204
Partial joint replacement 12 182
ASA grade 0.104 0.014 0.8 0.008
 I-II 1 157
 IV-III 14 229
Duration of surgery (minutes) 125 ± 87.09 140 ± 67.78 -50.954 19.974 0.391

Results of unconditional binomial logistic regression analysis of postoperative delirium

The risk factors that were statistically significant in univariate analysis and the significant factors considered by clinical experts (BMI, duration of surgery) were included in the unconditional binomial logistic regression analysis. The results revealed that age and ASA grade were independent risk factors for postoperative delirium after hip or knee replacement surgery in elderly patients (P < 0.05) (Table 3).

The AUC was 0.77 (95% CI: 0.675–0.865; Fig. 5; Table 4), indicating that the predictive effect of the logistic regression model was reliable.

Fig. 5.

Fig. 5

AUC of the predicted meaningful and risk factors for postoperative delirium

Results of univariate statistical analysis of two or more complications

The average age of the 17 patients (16 females, 1 male) with two or more complications was 77.88 ± 7.71 years, and the average age of the other 384 patients (280 females, 104 males) was 72.98 ± 6.74 years. Univariate analysis revealed that age, diabetes status, type of disease, type of surgery, blood transfusion, and ASA grade were significantly different in elderly patients with or without two or more complications after hip or knee replacement surgery (P < 0.05) (Table 8).

Table 8.

Univariate analysis of related factors between patients with and without two or more complications

Risk Factors Complications No complications OR 95% CI P
(n = 17) (n = 384) Lower Upper
Gender 0.168 0.022 1.285 0.096
 Male 1 104
 Female 16 280
Age 77.88 ± 7.71 72.98 ± 6.74 1.597 8.210 0.004
BMI 0.975 0.336 2.83 0.962
 18.5–27.9 5 115
 <18.4, ≥ 28 12 269
Diabetes 3.571 1.339 9.521 0.016
 Yes 9 92
 No 8 292
Types of disease 3.722 1.192 11.62 0.016
 Fracture 13 179
 Non-fracture 4 205
Type of surgery 0.274 0.088 0.856 0.018
 Total joint replacement 4 203
 Partial joint replacement 13 181
Blood transfusion 2.946 1.104 7.862 0.05
 Yes 8 89
 No 9 295
ASA grade 0.197 0.044 0.874 0.018
 I-II 2 155
 IV-III 15 229
Duration of surgery (minutes) 118.65 ± 80.96 140.85 ± 67.89 -55.563 11.154 0.191

Results of unconditional binomial logistic regression analysis of two or more complications

The risk factors that were statistically significant in univariate analysis and the significant factors considered by clinical experts (BMI, duration of surgery) were included in the unconditional binomial logistic regression analysis. The results revealed that age and diabetes were independent risk factors for two or more complications after hip and knee replacement surgery in elderly patients (P < 0.05) (Table 3).

The AUC was 0.77 (95% CI: 0.647–0.893; Fig. 6; Table 4), indicating that the predictive effect of the logistic regression model was reliable.

Fig. 6.

Fig. 6

AUC of the predicted meaningful and risk factors for two or more complications

Discussion

With the increasing demand for improved mobility and quality of life, as well as the continuous development of surgical techniques and artificial joint materials, the number of hip and knee replacement surgeries has significantly increased each year [15, 16]. Maradit et al. [5] predicted that an estimated 11 million people would undergo total hip or knee replacement by 2030. After years of advancement, the effectiveness and benefits of joint replacement surgery have been widely recognized. However, with such a large number of procedures being performed, postoperative complications remain an important concern. This is especially true for elderly patients, as complications can significantly affect both their quality of life and, in severe cases, their survival.

This study retrospectively analyzed complications in 401 elderly patients who were hospitalized for hip or knee surgery. It was found that elderly patients had a high probability of experiencing complications after hip or knee replacement surgery, with an overall incidence of 30.42%. Among them, the incidence of LEVT was 13.97%, cardiopulmonary complications 12.47%, postoperative delirium 3.74%, and two or more complications 4.24%. Age, BMI, and hypertension were identified as independent risk factors for complications, with an AUC of 0.639, indicating a general predictive performance of the logistic regression model. Hypertension and surgical joint type were independent risk factors for LEVT, with an AUC of 0.681. Age and BMI were independent risk factors for cardiopulmonary complications, with an AUC of 0.658. Age and ASA grade were found to be independent risk factors for postoperative delirium, with an AUC of 0.77, indicating reliable predictive ability. Age and diabetes mellitus (DM) were independent risk factors for two or more complications, with an AUC of 0.77, also suggesting a reliable prediction model. Overall, age, BMI, and hypertension were independent risk factors for multiple complications.

The risk of surgical complications increases with age. We found that for each 10-year increase in age, the odds ratio (OR) for complications after hip or knee arthroplasty was 1.90; for cardiopulmonary complications, 2.30; for postoperative delirium, 2.38; and for two or more complications, 3.87. These results are consistent with previous findings. For example, Basilico et al. [17] found that advanced age is a risk factor for cardiac complications following total joint replacement surgery, and Canet et al. [18] reported that the risk of postoperative pulmonary complications increases by 5.6 times in patients over 80 years of age. Furthermore, studies have shown that advanced age not only raises the risk of perioperative cardiovascular complications but also increases the risk of death within 30 days after surgery [19, 20].

Obesity is a well-known risk factor for the development of osteoarthritis and the subsequent need for joint replacement [21, 22], and it also increases the risk of complications following total joint replacement surgery [23]. Therefore, orthopedic surgeons increasingly recommend weight loss, which has been shown to reduce pain, disability, and the need for joint replacement, particularly in patients with knee osteoarthritis [21]. Additionally, hypertensive patients face increased risks of complications after various surgeries, experience longer hospital stays, and have higher mortality rates compared to non-hypertensive patients [2426]. A study of 46,322 patients undergoing TKA or THA found that being over 80 years old and requiring antihypertensive medication were the most significant risk factors for postoperative cardiac complications [27]. Other studies have also confirmed that elderly hypertensive patients undergoing joint replacement surgery are at greater risk for postoperative complications [28, 29]. Theoretically, the severity of hypertension may influence the incidence of complications. However, due to limited data, this study did not analyze the relationship between hypertension grading and postoperative complications. Future studies should explore this in more detail.

Diabetes increases the risk of complications following surgical procedures, including THA and TKA, and the prevalence of diabetes among patients undergoing these procedures is approximately 8–20% [30, 31]. High and unstable blood glucose levels during the perioperative period not only prolong hospitalization but also increase the risk of surgical complications and mortality [3234]. Therefore, for elderly diabetic patients undergoing hip or knee replacement, monitoring and maintaining blood glucose levels within the normal range during the perioperative period is crucial to minimize fluctuations and improve outcomes.

Several studies have reported inconsistent rates of LEVT following hip and knee arthroplasty. The incidence of LEVT after hip arthroplasty ranges from 8.9 to 10.5% [35, 36], while after knee arthroplasty it is approximately 25.6% [36]. However, another study on patients who did not receive thromboprophylaxis [37], reported higher rates, reaching 57.6% in TKR patients and 33.5% in THR patients. In addition, studies have confirmed that hypertension is an independent risk factor for deep vein thrombosis (DVT) after joint replacement [38], consistent with our findings.

Delirium is particularly common among elderly patients following major surgery, with an incidence of approximately 44% [39]. The incidence of delirium after joint replacement has been reported to be 28% in patients undergoing hip replacement [40, 41], and between 4% and 41% in those undergoing bilateral knee replacement [42]. Jain et al. [43] suggested that pre-anesthesia hypotension in elderly patients is a significant contributor to postoperative delirium. They noted that younger patients could tolerate lower blood pressure without significant cognitive impact. Their study identified age ≥ 74 years, ASA grade ≥ 3, and mean arterial pressure (MAP) < 90 mmHg as risk factors for delirium following joint replacement surgery—findings consistent with ours.

The case data in this study were collected retrospectively in a general hospital, which inevitably introduces selection bias. Additionally, the sample size was relatively small. Future multicenter clinical studies would help generate more stable and generalizable results. Although some preoperative laboratory indicators were collected during this study, including those related to nutritional status (e.g., hemoglobin, high-density lipoprotein), they were not statistically significant and thus not included as potential risk factors. This may be due to the inaccuracy in recording the timing of sample collection and reporting. This represents another limitation of the study. Despite some limitations, we statistically analyzed 6 years of data and the identified risk factors for general complications after hip or knee arthroplasty in elderly patients. With the continuous development of surgical techniques, advanced age is no longer a contraindication for joint replacement. In the current situation of increasingly serious aging society, solving the hip and knee joint problems of elderly patients is not only a key measure to ensure their quality of life, but also can reduce the social burden and family burden to a certain extent. For elderly patients with hip or knee replacements to study the risk factors of complications after the surgery, is not only an important supplement to the existing literature research, but also can help clinical medical personnel ready to targeted prevention treatment, thereby reducing elderly patients with hip and knee arthroplasties risk of general complications after the surgery.

Conclusions

Clinical attention should be given to the risk factors for complications following hip and knee replacement surgery. Proper preoperative evaluation and perioperative management in elderly patients are essential to reduce the risk of complications as much as possible. This study identified independent risk factors for complications after hip and knee replacement surgery in elderly patients and analyzed and evaluated independent risk factors for postoperative lower limb vein thrombosis, cardiopulmonary complications, postoperative delirium, and the occurrence of two or more complications. However, only two types of complications were reliably predicted by the logistic regression model. Nevertheless, this study provides a valuable reference for the clinical prevention and management of postoperative complications in elderly patients undergoing hip and knee replacement surgery.

Acknowledgements

The authors would like to thank all the staff of the participating departments.

Author contributions

H.Z. : Conceptualization, Investigation, Methodology, Formal analysis, Writing – original draft.J.C. : Investigation, Visualization, Writing – review and editing.J.C. : Supervision, Validation, Writing – review and editing.X. N. : Project administration, Resources, Writing – review and editing.

Funding

This study received no direct funding from any third-party donor or funding institution in the public, commercial, or non-profit sectors.

Data availability

The datasets generated during this current study are available from the corresponding author upon reasonable request.

Declarations

Ethics approval and consent to participate

Written informed consent was waived by the Institutional Review Board of Hebei General Hospital as the study was retrospective in nature (2024-LW-0237). All experimental protocols were approved by the same Institutional Review Board of Hebei General Hospital and followed the Declaration of Helsinki.

Consent for publication

No application.

Competing interests

The authors declare no competing interests.

Authors’contributions

Huaxing Zhang(H.Z.): Conceptualization, Investigation, Methodology, Formal analysis, Writing-original draft.

Jingjing Cao(J.C.) : Investigation, Visualization, Writing-review and editing.

Jia Chen(J.C.): Supervision, Validation, Writing- review and editing.

Xiaoran Ning(X.N.).: Project administration, Resources, Writing-review and editing.

All authors have read andapproved the final manuscript.

Footnotes

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References

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets generated during this current study are available from the corresponding author upon reasonable request.


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