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. 2023 Oct 21;8(1):176–184. doi: 10.1016/j.jseint.2023.08.025

A comprehensive analysis of age and 30-day complications following total shoulder arthroplasty: nonagenarians, octogenarians, and septuagenarians

Kenny Ling a, Richelle P Fassler b, Andrew J Nicholson a, David E Komatsu a, Edward D Wang a,∗
PMCID: PMC10837721  PMID: 38312289

Abstract

Background

Increased age is a well-known risk factor for development of osteoarthritis. Total shoulder arthroplasty (TSA) is a common treatment option for patients with severe glenohumeral osteoarthritis. The purpose of this study was to investigate the association between the septuagenarian, octogenarian, and nonagenarian populations and postoperative outcomes following TSA.

Methods

The American College of Surgeons National Surgical Quality Improvement Program database was queried for all patients who underwent TSA between 2015 and 2020. Patients were divided into cohorts based on age: sexagenarians (60-69), septuagenarians (70-79), octogenarians (80-89), and nonagenarians (90+). Multivariate logistic regression was used to identify associations between age and postoperative complications.

Results

On bivariate analysis, compared to sexagenarians, septuagenarians were significantly associated with higher rates of myocardial infarction (P = .038), blood transfusion (P < .001), organ/space surgical site infection (P = .048), readmission (P = .005), and nonhome discharge (P < .001. Compared to septuagenarians, octogenarians were significantly associated with higher rates of urinary tract infection (P < .001), blood transfusion (P < .001), readmission (P = .002), non-home discharge (P < .001), and mortality (P = .027). Compared to octogenarians, nonagenarians were significantly associated with higher rates of sepsis (P = .013), pneumonia (P = .003), reintubation (P = .009), myocardial infarction (P < .001), blood transfusion (P < .001), readmission (P = .026), nonhome discharge (P < .001), and mortality (P < .001).

Conclusion

From age 60, each decade of age was identified to be an increasingly significant predictor for blood transfusion, readmission, and nonhome discharge following TSA. From age 70, each decade of age was additionally identified to be an increasingly significant predictor for mortality.

Keywords: Total shoulder arthroplasty, Age, Nonagenarian, Octogenarian, Septuagenarian, Readmission, Mortality


Glenohumeral osteoarthritis affects up to 17% of patients with shoulder pain, greatly hindering quality of life and impairing activities of daily living.15,25 Its prevalence increases with age, with radiographic evidence noted in 32.8% of individuals aged older than 60.16 The aging population is on the rise, with the proportion of Americans over age 65 expected to increase from 16% to 23% by 2060.26 As the US population ages and osteoarthritis becomes more prevalent, it is important to optimize the management of individuals who choose to undergo surgical treatment.

Total shoulder arthroplasty (TSA), including both anatomic and reverse TSA, is a common treatment option for patients with severe glenohumeral osteoarthritis.15 TSA also may be considered to treat patients with massive rotator cuff tears or proximal humerus fractures, although primary osteoarthritis remains the most common indication for TSA.12,18,39 Specifically, reverse TSA has proven to be particularly beneficial to treat osteoarthritis in the elderly, due to severe bone loss and joint deformation.2 Overall, joint replacement has shown to significantly decrease pain and improve function of the shoulder joint in patients with a history of osteoarthritis, especially among older individuals.25

Increased age is a well-known risk factor for development of osteoarthritis, along with female sex, genetics, past trauma, and obesity.31 Since arthritis is common in the aging population, the safety and efficacy of TSA as a treatment option is valuable to investigate. Prior studies on joint replacement surgery among older patients compared to younger patients have reported increased risk of multiple medical complications, longer hospital stays, readmission, and mortality.4,9, 10, 11,19,21 However, understanding how each increased decade of life affects adverse outcomes has not been explored. Further investigation to stratify postoperative outcomes within older age groups may help to better understand as to which adverse outcomes certain patient groups are at higher risk.

The purpose of this study was to investigate the association between the septuagenarian, octogenarian, and nonagenarian populations and postoperative outcomes following TSA. We hypothesized that increased age will be associated with increased rate of postoperative adverse outcomes.

Methods

The American College of Surgeons National Surgical Quality Improvement Program database was queried for all patients who underwent TSA between 2015 and 2020. The NSQIP database is fully deidentified, therefore rendering this study exempt from approval by our University’s institutional review board. Data in the NSQIP database are obtained from over 600 hospitals in the United States and are collected by trained surgical clinical reviewers. The data are periodically audited to maintain high fidelity.

Current Procedural Terminology code 23472 was used to identify patients who underwent TSA, both anatomic and reverse, from 2015 to 2020. Cases for patients younger than 18 years of age or TSA performed for trauma were automatically excluded from the database. Cases were excluded if any of the following variables had missing information: age, height, weight, functional status, discharge destination, American Society of Anesthesiologists (ASA) classification. Cases were also excluded for age <60.

Variables collected in this study included patient demographics, comorbidities, surgical characteristics, preoperative laboratory values, and 30-day postoperative complication data. Patient demographics included age, body mass index (BMI), gender, functional status, ASA classification, and smoking status. Preoperative comorbidities included insulin-dependent and noninsulin dependent diabetes, severe chronic obstructive pulmonary disease (COPD), hypertension requiring medication, bleeding disorders, open wound/wound infection, disseminated cancer, and congestive heart failure (CHF). Surgical characteristics included operative duration in minutes. Preoperative laboratory values included hematocrit to assess for preoperative anemia. Postoperative complications within 30 days included sepsis, septic shock, pneumonia, reintubation, urinary tract infection (UTI), stroke, cardiac arrest, myocardial infarction, blood transfusion, deep vein thrombosis, pulmonary embolism, failure to wean off ventilator, deep incisional surgical-site infection (SSI), superficial incisional SSI, organ/space SSI, wound dehiscence, readmission, reoperation, nonhome discharge, and mortality.

The initial pool of patients was divided into cohorts based on age: sexagenarians (60-69), septuagenarians (70-79), octogenarians (80-89), nonagenarians (90+). Of note, the NSQIP database codes for all patients over the age of 90 as “90+.” Therefore, it was possible that the nonagenarian cohort included patients who were older than the nonagenarian range of 90-99. Three sets of analyses were performed, such that sexagenarians, septuagenarians, and octogenarians each served as the reference cohort for patients older than the reference cohort.

A total of 27,050 patients who underwent primary TSA were identified in NSQIP from 2015 to 2020. Cases were excluded as follows: 152 for missing height/weight, 11 for missing discharge destination, 29 for missing ASA classification, 2 for missing readmission status, 227 for missing functional health status prior to surgery, 3736 for age <60. Of the 26,629 patients remaining after exclusion criteria, 9085 (39.7%) patients were included in the sexagenarian cohort, 10,307 (45.0%) in the septuagenarian cohort, 3335 (14.6%) in the octogenarian cohort, and 166 (0.7%) in the nonagenarian cohort.

All statistical analyses were conducted using SPSS Software version 29.0 (IBM Corp., Armonk, NY, USA). Patient demographics and comorbidities were compared between cohorts using bivariate logistic regression. Postoperative complications were also compared between cohorts using bivariate logistic regression.

Multivariate logistic regression, adjusted for all significantly associated patient demographics and comorbidities, was used to identify associations between age and postoperative complications. Odds ratios (OR) were reported with 95% confidence intervals (CI). The level of statistical significance was set at P < .05.

Results

Sexagenarians as reference cohort

Compared to sexagenarians, the patient demographics and comorbidities significantly associated with septuagenarians were BMI 18.5-29.9 (P < .001), female gender (P < .001), dependent functional status (P < .001), ASA ≥3 (P < .001), nonsmoker status (P < .001), hypertension (P < .001), COPD (P = .010), bleeding disorder (P < .001), preoperative anemia (P < .001), and operative duration 0-79 minutes (P < .001) (Table I). The patient demographics and comorbidities significantly associated with octogenarians were BMI 18.5-29.9 (P < .001), female gender (P < .001), dependent functional status (P < .001), ASA ≥3 (P < .001), nonsmoker status (P < .001), hypertension (P < .001), COPD (P = .039), bleeding disorder (P < .001), no chronic steroid use (P = .039), CHF (P = .007), preoperative anemia (P < .001), and operative duration 0-79 minutes (P < .001). The patient demographics and comorbidities significantly associated with nonagenarians were BMI 18.5-29.9 (P < .001), female gender (P < .001), dependent functional status (P < .001), ASA ≥3 (P < .001), non-smoker status (P < .001), hypertension (P < .001), CHF (P < .001), preoperative anemia (P < .001), and operative duration 0-79 minutes (P = .008).

Table I.

Patient demographics/comorbidities based on age for patients who underwent total shoulder arthroplasty between 2015 and 2020, with age 60-69 as the reference group.

Characteristic Age 60-69
Age 70-79
Age 80-89
Age 90+
Number Percent Number Percent P value Number Percent P-value Number Percent P value
Total 9085 100.0 10,307 100.0 3335 100.0 166 100.0
Body mass index (kg/m2) <.001 <.001 <.001
 <18.5 66 0.7 69 0.7 33 1.0 6 3.6
 18.5-29.9 3863 42.5 5122 49.7 2100 63.0 126 75.9
 30-34.9 2420 26.6 2781 27.0 810 24.3 24 14.5
 35-39.9 1525 16.8 1397 13.6 256 7.7 6 3.6
 ≥40 1201 13.2 921 8.9 130 3.9 4 2.4
Gender <.001 <.001 <.001
 Female 4810 52.9 6061 58.8 2245 67.3 132 79.5
 Male 4275 47.1 4246 41.2 1090 32.7 34 20.5
Functional status <.001 <.001 <.001
 Independent 8953 98.5 10,093 97.9 3185 95.5 144 86.7
 Dependent 132 1.5 214 2.1 150 4.5 22 13.3
ASA classification <.001 <.001 <.001
 1-2 4251 46.8 3954 38.4% 1007 30.2 38 22.9
 ≥3 4834 53.2 6353 61.6 2328 69.8 128 77.1
Smoker <.001 <.001 <.001
 No 7903 87.0 9778 94.9 3248 97.4 164 98.8
 Yes 1182 13.0 529 5.1 87 2.6 2 1.2
Diabetes mellitus .090 .056 .120
 No diabetes 7396 81.4 8266 80.2 2806 84.1 143 86.1
 Non-insulin dependent 1187 13.1 1459 14.2 400 12.0 15 9.0
 Insulin dependent 502 5.5 582 5.6 129 3.9 8 4.8
Hypertension <.001 <.001 <.001
 No 3365 37.0 2841 27.6 768 23.0 39 23.5
 Yes 5720 63.0 7466 72.4 2567 77.0 127 76.5
COPD .010 .039 .146
 No 8517 93.7 9567 92.8 3092 92.7 151 91.0
 Yes 568 6.3 740 7.2 243 7.3 15 9.0
Bleeding disorders <.001 <.001 .056
 No 8900 98.0 10,013 97.1 3197 95.9 159 95.8
 Yes 185 2.0 294 2.9 138 4.1 7 4.2
Chronic steroid use .808 .015 .425
 No 8633 95.0 9802 95.1 3204 96.1 160 96.4
 Yes 452 5.0 505 4.9 131 3.9 6 3.6
Open wound/wound infection .525 .197 .056
 No 9058 99.7 10,271 99.7 3320 99.6 164 98.8
 Yes 27 0.3 36 0.3 15 0.4 2 1.2
Disseminated cancer .907 .697 .998
 No 9064 99.8 10,284 99.8 3326 99.7 166 100.0
 Yes 21 0.2 23 0.2 9 0.3 0 0.0
Congestive heart failure .087 .007 <.001
 No 9036 99.5 10,231 99.3 3302 99.0 158 95.2
 Yes 49 0.5 76 0.7 33 1.0 8 4.8
Preoperative anemia <.001 <.001 <.001
 No 6869 75.6 7467 72.4 2184 65.5 94 56.6
 Yes 1147 12.6 1778 17.3 872 26.1 67 40.4
Operative duration (minutes) <.001 <.001 .008
 0-79 2164 23.8 2841 27.6 1037 31.1 54 32.5
 80-128 4539 50.0 5204 50.5 1657 49.7 83 50.0
 ≥129 2382 26.2 2262 21.9 641 19.2 29 17.5

ASA, American Society of Anesthesiologists; COPD, chronic obstructive pulmonary disease.

Bold P values indicate statistical significance with P < .05.

Bivariate analysis identified postoperative complications significantly associated with each age cohort, with reference to the sexagenarian cohort (Table II). Septuagenarians had significantly higher rates of myocardial infarction (P = .038), blood transfusion (P < .001), organ/space SSI (P = .048), readmission (P = .005), and nonhome discharge (P < .001). Octogenarians had significantly higher rates of septic shock (P = .033), pneumonia (P = .023), UTI (P < .001), stroke (P = .050), blood transfusion (P < .001), deep vein thrombosis (P = .038), failure to wean off ventilator (P = .013), readmission (P < .001), nonhome discharge (P < .001), and mortality (P = .016). Nonagenarians had significantly higher rates of sepsis (P = .008), pneumonia (P < .001), reintubation (P < .001), UTI (P < .001), myocardial infarction (P < .001), blood transfusion (P < .001), pulmonary embolism (P = .044), failure to wean off ventilator (P = .019), readmission (P < .001), nonhome discharge (P < .001), and mortality (P < .001).

Table II.

Bivariate analysis of 30-day postoperative complications based on age group, with age 60-69 as the reference group.

Postoperative complication Age 60-69
Age 70-79
Age 80-89
Age 90+
Number Percent Number Percent P value Number Percent P-value Number Percent P value
Sepsis 15 0.17 10 0.10 .193 5 0.15 .852 2 1.20 .008
Septic shock 1 0.01 7 0.07 .089 4 0.12 .033 0 0.00 1.000
Pneumonia 36 0.40 53 0.51 .227 24 0.72 .023 5 3.01 <.001
Reintubation 13 0.14 14 0.14 .984 10 0.30 .059 2 1.20 <.001
Urinary tract infection 51 0.56 71 0.69 .263 44 1.32 <.001 5 3.01 <.001
Stroke 5 0.06 9 0.09 .408 6 0.18 .050 0 0.00 .999
Cardiac arrest 4 0.04 4 0.04 .858 4 0.12 .156 0 0.00 .999
Myocardial infarction 18 0.20 37 0.36 .038 8 0.24 .652 4 2.41 <.001
Blood transfusions 88 0.97 200 1.94 <.001 125 3.75 <.001 18 10.84 <.001
Deep vein thrombosis 24 0.26 30 0.29 .723 17 0.51 .038 0 0.00 .998
Pulmonary embolism 25 0.28 28 0.27 .963 12 0.36 .444 2 1.20 .044
Failure to wean off ventilator 4 0.04 12 0.12 .092 7 0.21 .013 1 0.60 .019
Deep incisional SSI 9 0.10 5 0.05 .200 0 0.00 .999 0 0.00 .999
Superficial incisional SSI 25 0.28 19 0.18 .188 10 0.30 .818 1 0.60 .442
Organ/space SSI 24 0.26 14 0.14 .048 4 0.12 .143 0 0.00 .998
Wound dehiscence 6 0.07 3 0.03 .246 2 0.06 .906 0 0.00 .999
Readmission 218 2.40 315 3.06 .005 139 4.17 <.001 13 7.83 <.001
Reoperation 129 1.42 123 1.19 .165 50 1.50 .742 1 0.60 .390
Nonhome discharge 416 4.58 911 8.84 <.001 761 22.82 <.001 80 48.19 <.001
Mortality 9 0.10 12 0.12 .714 10 0.30 .016 4 2.41 <.001

SSI, surgical site infection.

Bold P values indicate statistical significance with P < .05.

After adjusting for the patient variables significantly associated with each age cohort, multivariate logistic regression identified the complications independently associated with each cohort, with reference to the sexagenarian cohort (Table III). Septuagenarians were independently associated with higher rates of blood transfusion (OR 1.67, 95% CI 1.27-2.19; P < .001), readmission (OR 1.24, 95% CI 1.02-1.50; P = .028), and non-home discharge (OR 1.82, 95% CI 1.59-2.08; P < .001). Octogenarians were independently associated with higher rates of UTI (OR 1.73, 95% CI 1.09-2.76; P = .021), blood transfusion (OR 2.13, 95% 1.53-2.97; P < .001), failure to wean off ventilator (OR 7.67, 95% CI 1.70-34.72; P = .008), readmission (OR 1.39, 95% CI 1.07-1.81; P = .012), and nonhome discharge (OR 5.47, 95% CI 4.67-6.40; P < .001). Nonagenarians were independently associated with higher rates of pneumonia (OR 5.05, 95% CI 1.72-14.81; P = .003), reintubation (OR 4.53, 95% CI 1.02-20.17; P = .048), UTI (OR 3.26, 95% CI 1.12-9.42; P = .030), myocardial infarction (OR 6.30, 95% CI 1.59-25.01; P = .009), blood transfusion (OR 3.07, 95% CI 1.52-6.18; P = .002), nonhome discharge (OR 10.94, 95% CI 7.33-16.32; P < .001), and mortality (OR 5.80, 95% CI 1.31-25.59; P = .020).

Table III.

Multivariate analysis of 30-day postoperative complications based on age group, adjusted for significantly associated patient demographics/comorbidities, with age 60-69 as the reference group.

Postoperative complication Age 70-79
Age 80-89
Age 90+
OR 95% CI P value OR 95% CI P-value OR 95% CI P value
Sepsis - - - - - - 3.95 0.74-21.02 .107
Septic shock - - - 7.84 0.83-73.86 .072 - - -
Pneumonia - - - 1.60 0.89-2.90 .118 5.05 1.72-14.81 .003
Reintubation - - - - - - 4.53 1.02-20.17 .048
Urinary tract infection - - - 1.73 1.09-2.76 .021 3.26 1.12-9.42 .030
Stroke - - - 1.2 0.33-4.39 .780 - - -
Myocardial infarction 1.51 0.83-2.77 .179 - - - 6.30 1.59-25.01 .009
Blood transfusions 1.67 1.27-2.19 <.001 2.13 1.53-2.97 <.001 3.07 1.52-6.18 .002
Deep vein thrombosis - - - 1.82 0.86-3.86 .12 - - -
Pulmonary embolism - - - - - - 3.96 0.73-21.43 .110
Failure to wean off ventilator - - - 7.67 1.70-34.72 .008 8.56 0.43-172.07 .161
Organ/space SSI 0.54 0.26-1.13 .101 - - - - - -
Readmission 1.24 1.02-1.50 .028 1.39 1.07-1.81 .012 1.90 0.97-3.74 .063
Non-home discharge 1.82 1.59-2.08 <.001 5.47 4.67-6.40 <.001 10.94 7.33-16.32 <.001
Mortality - - - 1.61 0.58-4.49 .362 5.80 1.31-25.59 .020

OR, odds ratio; CI, confidence interval; SSI, surgical site infection.

Bold P values indicate statistical significance with P < .05.

Septuagenarians as reference cohort

Compared to septuagenarians, the patient demographics and comorbidities significantly associated with octogenarians were BMI 18.5-29.9 (P < .001), female gender (P < .001), dependent functional status (P < .001), ASA ≥3 (P < .001), nonsmoker status (P < .001), no diabetes (P < .001), hypertension (P < .001), bleeding disorder (P < .001), no chronic steroid use (P = .021), preoperative anemia (P < .001), and operative duration 0-79 minutes (P < .001) (Table IV). The patient demographics and comorbidities significantly associated with nonagenarians were BMI 18.5-29.9 (P < .001), female gender (P < .001), dependent functional status (P < .001), ASA ≥3 (P < .001), nonsmoker status (P = .037), no CHF (P < .001), and preoperative anemia (P < .001).

Table IV.

Patient demographics/comorbidities based on age for patients who underwent total shoulder arthroplasty between 2015 and 2020, with age 70-79 as the reference group.

Characteristic Age 70-79
Age 80-89
Age 90+
Number Percent Number Percent P value Number Percent P value
Total 10,307 100.0 3335 100.0 166 100.0
Body mass index (kg/m2) <.001 <.001
 <18.5 69 0.7 33 1.0 6 3.6
 18.5-29.9 5122 49.7 2100 63.0 126 75.9
 30-34.9 2781 27.0 810 24.3 24 14.5
 35-39.9 1397 13.6 256 7.7 6 3.6
 ≥40 921 8.9 130 3.9 4 2.4
Gender <.001 <.001
 Female 6061 58.8 2245 67.3 132 79.5
 Male 4246 41.2 1090 32.7 34 20.5
Functional status <.001 <.001
 Independent 10,093 97.9 3185 95.5 144 86.7
 Dependent 214 2.1 150 4.5 22 13.3
ASA classification <.001 <.001
 1-2 3954 38.4 1007 30.2 38 22.9
 ≥3 6353 61.6 2328 69.8 128 77.1
Smoker <.001 .037
 No 9778 94.9 3248 97.4 164 98.8
 Yes 529 5.1 87 2.6 2 1.2
Diabetes mellitus <.001 .144
 No diabetes 8266 80.2 2806 84.1 143 86.1
 Non-insulin dependent 1459 14.2 400 12.0 15 9.0
 Insulin dependent 582 5.6 129 3.9 8 4.8
Hypertension <.001 .245
 No 2841 27.6 768 23.0 39 23.5
 Yes 7466 72.4 2567 77.0 127 76.5
COPD .836 .360
 No 9567 92.8 3092 92.7 151 91.0
 Yes 740 7.2 243 7.3 15 9.0
Bleeding disorders <.001 .300
 No 10,013 97.1 3197 95.9 159 95.8
 Yes 294 2.9 138 4.1 7 4.2
Chronic steroid use .021 .448
 No 9802 95.1 3204 96.1 160 96.4
 Yes 505 4.9 131 3.9 6 3.6
Open wound/wound infection .410 .088
 No 10,271 99.7 3320 99.6 164 98.8
 Yes 36 0.3 15 0.4 2 1.2
Disseminated cancer .628 .998
 No 10,284 99.8 3326 99.7 166 100.0
 Yes 23 0.2 9 0.3 0 0.0
Congestive heart failure .157 <.001
 No 10,231 99.3 3302 99.0 158 95.2
 Yes 76 0.7 33 1.0 8 4.8
Preoperative anemia <.001 <.001
 No 7467 72.4 2184 65.5 94 56.6
 Yes 1778 17.3 872 26.1 67 40.4
Operative duration (minutes) <.001 .230
 0-79 2841 27.6 1037 31.1 54 32.5
 80-128 5204 50.5 1657 49.7 83 50.0
 ≥129 2262 21.9 641 19.2 29 17.5

ASA, American Society of Anesthesiologists; COPD, chronic obstructive pulmonary disease.

Bold P values indicate statistical significance with P < .05.

Bivariate analysis identified postoperative complications significantly associated with each age cohort, with reference to the septuagenarian cohort (Table V). Octogenarians had significantly higher rates of UTI (P < .001), blood transfusion (P < .001), readmission (P = .002), nonhome discharge (P < .001), and mortality (P = .027). Nonagenarians had significantly higher rates of sepsis (P < .001), pneumonia (P < .001), reintubation (P < .001), UTI (P = .001), myocardial infarction (P < .001), blood transfusion (P < .001), pulmonary embolism (P = .042), readmission (P < .001), nonhome discharge (P < .001), and mortality (P < .001).

Table V.

Bivariate analysis of 30-day postoperative complications based on age group, with age 70-79 as the reference group.

Postoperative complication Age 70-79
Age 80-89
Age 90+
Number Percent Number Percent P value Number Percent P value
Sepsis 10 0.10 5 0.15 .427 2 1.20 .001
Septic shock 7 0.07 4 0.12 .364 0 0.00 .999
Pneumonia 53 0.51 24 0.72 .171 5 3.01 <.001
Reintubation 14 0.14 10 0.30 .054 2 1.20 <.001
Urinary tract infection 71 0.69 44 1.32 <.001 5 3.01 .001
Stroke 9 0.09 6 0.18 .170 0 0.00 .999
Cardiac arrest 4 0.04 4 0.12 .110 0 0.00 .999
Myocardial infarction 37 0.36 8 0.24 .300 4 2.41 <.001
Blood transfusions 200 1.94 125 3.75 <.001 18 10.84 <.001
Deep vein thrombosis 30 0.29 17 0.51 .064 0 0.00 .998
Pulmonary embolism 28 0.27 12 0.36 .415 2 1.20 .042
Failure to wean off ventilator 12 0.12 7 0.21 .215 1 0.60 .114
Deep incisional SSI 5 0.05 0 0.00 .999 0 0.00 .999
Superficial incisional SSI 19 0.18 10 0.30 .213 1 0.60 .248
Organ/space SSI 14 0.14 4 0.12 .826 0 0.00 .999
Wound dehiscence 3 0.03 2 0.06 .428 0 0.00 .999
Readmission 315 3.06 139 4.17 .002 13 7.83 <.001
Reoperation 123 1.19 50 1.50 .171 1 0.60 .494
Non-home discharge 911 8.84 761 22.82 <.001 80 48.19 <.001
Mortality 12 0.12 10 0.30 .027 4 2.41 <.001

SSI, surgical site infection.

Bold P values indicate statistical significance with P < .05.

After adjusting for the patient variables significantly associated with each age cohort, multivariate logistic regression identified the complications independently associated with each cohort, with reference to the septuagenarian cohort (Table VI). Octogenarians were independently associated with higher rates of UTI (OR 1.73, 95% CI 1.15-2.61; P = .009), readmission (OR 1.28, 95% CI 1.03-1.59; P = .029), and nonhome discharge (OR 2.81, 95% CI 2.50-3.17; P < .001). Nonagenarians were independently associated with higher rates of pneumonia (OR 5.02, 95% CI 1.85-13.63; P = .002), reintubation (OR 4.91, 95% CI 1.08-22.28; P = .039), UTI (OR 2.94, 95% CI 1.07-8.08; P = .037), myocardial infarction (OR 3.83, 95% CI 1.17-12.56; P = .027), blood transfusion (OR 1.86, 95% CI 1.03-3.35; P = .038), readmission (OR 2.17, 95% CI 1.17-4.01; P = .014), nonhome discharge (OR 12.80, 95% CI 1.28-128.40; P = .030), and mortality (OR 9.87, 95% CI 2.62-37.16; P < .001).

Table VI.

Multivariate analysis of 30-day postoperative complications based on age group, adjusted for significantly associated patient demographics/comorbidities, with age 70-79 as the reference group.

Postoperative complication Age 80-89
Age 90+
OR 95 CI P value OR 95% CI P value
Sepsis - - - 6.82 0.94-49.29 .057
Pneumonia - - - 5.02 1.85-13.63 .002
Reintubation - - - 4.91 1.08-22.28 .039
Urinary tract infection 1.73 1.15-2.61 .009 2.94 1.07-8.08 .037
Myocardial infarction - - - 3.83 1.17-12.56 .027
Blood transfusions 1.22 0.95-1.57 .115 1.86 1.03-3.35 .038
Pulmonary embolism - - - 4.16 0.89-19.39 .069
Readmission 1.28 1.03-1.59 .029 2.17 1.17-4.01 .014
Reoperation - - - - - -
Non-home discharge 2.81 2.50-3.17 <.001 12.80 1.28-128.40 .030
Mortality 2.40 0.97-5.89 .057 9.87 2.62-37.16 <.001

OR, odds ratio; CI, confidence interval.

Bold P-values indicate statistical significance with P < .05.

Octogenarians as reference cohort

Compared to octogenarians, the patient demographics and comorbidities significantly associated with nonagenarians were BMI 18.5-29.9 (P < .001), female gender (P < .001), dependent functional status (P < .001), ASA ≥3 (P = .046), CHF (P < .001), and preoperative anemia (P < .001) (Table VII).

Table VII.

Patient demographics/comorbidities based on age for patients who underwent total shoulder arthroplasty between 2015 and 2020, with age 80-89 as the reference group.

Characteristic Age 80-89
Age 90+
Number Percent Number Percent P value
Total 3335 100.0 166 100.0
Body mass index (kg/m2) <.001
 <18.5 33 1.0 6 3.6
 18.5-29.9 2100 63.0 126 75.9
 30-34.9 810 24.3 24 14.5
 35-39.9 256 7.7 6 3.6
 ≥40 130 3.9 4 2.4
Gender <.001
 Female 2245 67.3 132 79.5
 Male 1090 32.7 34 20.5
Functional status <.001
 Independent 3185 95.5 144 86.7
 Dependent 150 4.5 22 13.3
ASA classification .046
 1-2 1007 30.2 38 22.9
 ≥3 2328 69.8 128 77.1
Smoker .274
 No 3248 97.4 164 98.8
 Yes 87 2.6 2 1.2
Diabetes mellitus .785
 No diabetes 2806 84.1 143 86.1
 Non-insulin dependent 400 12.0 15 9.0
 Insulin dependent 129 3.9 8 4.8
Hypertension .889
 No 768 23.0 39 23.5
 Yes 2567 77.0 127 76.5
COPD .401
 No 3092 92.7 151 91.0
 Yes 243 7.3 15 9.0
Bleeding disorders .960
 No 3197 95.9 159 95.8
 Yes 138 4.1 7 4.2
Chronic steroid use .839
 No 3204 96.1 160 96.4
 Yes 131 3.9 6 3.6
Open wound/wound infection .190
 No 3320 99.6 164 98.8
 Yes 15 0.4 2 1.2
Disseminated cancer .999
 No 3326 99.7 166 100.0
 Yes 9 0.3 0 0.0
Congestive heart failure <.001
 No 3302 99.0 158 95.2
 Yes 33 1.0 8 4.8
Preoperative anemia <.001
 No 2184 65.5 94 56.6
 Yes 872 26.1 67 40.4
Operative duration (min) .835
 0-79 1037 31.1 54 32.5
 80-128 1657 49.7 83 50.0
 ≥129 641 19.2 29 17.5

ASA, American Society of Anesthesiologists; COPD, chronic obstructive pulmonary disease.

Bold P values indicate statistical significance with P < .05.

Bivariate analysis identified postoperative complications significantly associated with nonagenarians, with reference to the octagenarian cohort (Table VIII). Nonagenarians had significantly higher rates of sepsis (P = .013), pneumonia (P = .003), reintubation (P = .009), myocardial infarction (P < .001), blood transfusion (P < .001), readmission (P = .026), nonhome discharge (P < .001), and mortality (P < .001).

Table VIII.

Bivariate analysis of 30-day postoperative complications based on age group, with age 80-89 as the reference group.

Postoperative complication Age 80-89
Age 90+
Number Percent Number Percent P value
Sepsis 5 0.15 2 1.20 .013
Septic shock 4 0.12 0 0.00 .999
Pneumonia 24 0.72 5 3.01 .003
Reintubation 10 0.30 2 1.20 .009
Urinary tract infection 44 1.32 5 3.01 .078
Stroke 6 0.18 0 0.00 .999
Cardiac arrest 4 0.12 0 0.00 .999
Myocardial infarction 8 0.24 4 2.41 <.001
Blood transfusions 125 3.75 18 10.84 <.001
Deep vein thrombosis 17 0.51 0 0.00 .999
Pulmonary embolism 12 0.36 2 1.20 .113
Failure to wean off ventilator 7 0.21 1 0.60 .324
Deep incisional SSI 0 0.00 0 0.00 -
Superficial incisional SSI 10 0.30 1 0.60 .505
Organ/space SSI 4 0.12 0 0.00 .999
Wound dehiscence 2 0.06 0 0.00 .999
Readmission 139 4.17 13 7.83 .026
Reoperation 50 1.50 1 0.60 .363
Non-home discharge 761 22.82 80 48.19 <.001
Mortality 10 0.30 4 2.41 <.001

SSI, surgical site infection.

Bold P values indicate statistical significance with P < .05.

After adjusting for the patient variables significantly associated with the nonagenarian cohort, multivariate logistic regression identified the complications independently associated with the nonagenarian cohort, with reference to octogenarians (Table IX). Nonagenarians were independently associated with higher rates of sepsis (OR 8.37, 95% CI 1.42-49.29; P = .019), pneumonia (OR 3.92, 95% CI 1.41-10.91; P = .009), reintubation (OR 5.48, 95% CI 1.45-20.77; P = .012), myocardial infarction (OR 10.24, 95% CI 2.76-38.03; P < .001), blood transfusion (OR 1.84, 95% CI 1.04-3.27; P = .037), nonhome discharge (OR 2.36, 95% CI 1.68-3.32; P < .001), and mortality (OR 4.90, 95% CI 1.38-17.36; P = .014).

Table IX.

Multivariate analysis of 30-day postoperative complications based on age group, adjusted for significantly associated patient demographics/comorbidities, with age 80-89 as the reference group.

Postoperative complication Age 90+
OR 95% CI P value
Sepsis 8.37 1.42-49.29 .019
Pneumonia 3.92 1.41-10.91 .009
Reintubation 5.48 1.45-20.77 .012
Myocardial infarction 10.24 2.76-38.03 <.001
Blood transfusions 1.84 1.04-3.27 .037
Readmission 1.64 0.89-3.05 .115
Nonhome discharge 2.36 1.68-3.32 <.001
Mortality 4.90 1.38-17.36 .014

OR, odds ratio; CI, confidence interval.

Bold P values indicate statistical significance with P < .05.

Discussion

In this study, we used a large national database to investigate the association between an aging population and 30-day postoperative outcomes in patients undergoing TSA between 2015 and 2020. By comparing each decade of life to an increasingly older age group, we were able to analyze the strength of significance between each age group and adverse postoperative outcomes. We identified age to be an increasingly significant predictor for blood transfusions, readmission, and nonhome discharge from age 60 and older. From the septuagenarian cohort, each increasing decade of age was found to be a significant predictor of mortality.

Arthritis is a major cause of disability in the older population due to a multitude of risk factors along with biological changes in joint structure with age.14 Due to the functional importance of the upper extremity, glenohumeral osteoarthritis threatens the independence of many elderly patients. The degeneration of cartilage in osteoarthritis leads to unequal load distribution within the joint cavity, leading to inflammation, osteophyte formation, subchondral bone changes, and synovial proliferation.15,25 These structural changes often lead to pain and limit range of motion.2 TSA for osteoarthritis has successfully provided favorable outcomes, notable pain relief, and improved range of motion.1,2,12,30 Surgical treatment can therefore drastically improve both physical and emotional well-being.15,23 A study by Cho et al reported improved psychological status in patients following TSA for the treatment of osteoarthritis.7

As the US population ages, a larger number of older individuals are seeking orthopedic surgery. However, the literature has consistently shown that older individuals are at higher risk of postoperative medical complications, including deep vein thrombosis, UTI, acute renal failure, and pneumonia.35 Therefore, as a greater number of older individuals undergo TSA, it is important to understand potential adverse outcomes of these different age groups.

Our results align with those of previous studies in orthopedic literature, including studies on total hip and total knee arthroplasty (THA and TKA, respectively). For example, prolonged length of stay, non-home discharge, and postoperative mortality have been more commonly reported among elderly patient cohorts following total joint arthroplasty.9,28,29 Furthermore, both octogenarian and nonagenarian patients have been found to be at increased postoperative risk of transfusions following TKA and THA compared to younger patients.10,28 Multiple orthopedic studies have also reported associations between increased age and unplanned readmission.4,6,13,28,32,40 Additionally, a study by Bovonratwet et al found that both older age and bleeding disorders increased risk of readmission following THA.4,6 On the other hand, when compared to younger cohorts, older patients have been reported to be at decreased risk for dislocation, perioperative fracture, implant related complications, and surgical site infections.35,38

In our study, we identified the older-aged cohorts to be increasingly significant predictors of blood transfusions following TSA. Prior studies on shoulder arthroplasty have found female sex, low preoperative hemoglobin, and traumatic surgical indication to be significant predictors for postoperative transfusion.33 These findings are consistent with clinical practice, as women are more likely to be anemic and their lower baseline hemoglobin may increase the need for transfusion. Similar to our results, a study on revision TSA cases also found older age to be a risk factor for postoperative transfusion.1

As one ages, the likelihood of developing anemia increases due to a number of different etiologies including anemia of chronic disease, chronic kidney disease, and iron deficiency anemia.3,22,34 Anemia has been reported in 10% of individuals over age 65 and in over 50% of those over age 80.3 The increasing incidence of anemia in older populations may increase the likelihood of low preoperative hemoglobin and thus increase the probability of needing a postoperative transfusion. Additionally, preoperative anemia has been reported to be a risk factor for postoperative complications and mortality following TJA.36 Therefore, preoperative evaluation and management of anemia in older populations may help to mitigate adverse outcomes.

We also identified increasingly significant rates of readmission as our patient cohorts aged. Although readmission rates following TSA are overall low, they have been reported to be as high as 5.5% among the elderly patient population.17 Interestingly, prior research on THA and TKA have reported a majority of readmissions due to falls, which may be less likely following upper extremity surgery. Consistent with our results, other studies have reported increased age as an independent risk factor for readmission following TSA, with medical causes accounting for up to 50% of readmissions.24,37,38 A study on primary TSA found that old age leads to higher rates of readmission, most commonly due to pneumonia, dislocation, pulmonary embolism, and surgical site infections.8 Similarly, a study by White et al found older age was more likely to be associated with readmission, as well as multiple medical complications such as pulmonary embolism, infection, and respiratory complications.38

Across all age groups, we found increasing age to be a significant predictor of nonhome discharge. This is in line with prior research, as a study on octogenarian outcomes following TSA found increased risk of non-home discharge compared to nonoctogenarian patients.5 Nonhome discharge following TSA may negatively impact postoperative outcomes and increase the likelihood of readmission, which raises important considerations for postoperative management of medically complex patients.20 From age 70, our study also identified age to be a significant predictor of mortality. Although overall mortality and complication rates are low, patients older than age 80 have been reported to have higher rates of early mortality following TSA.35 This again could be related to the medical complexity that often goes along with aging patients. However, a study by McCormick et al suggests that the mortality rate following TSA is still lower than that of THA and TKA.27

Our study is limited to the data that can be analyzed through the American College of Surgeons National Surgical Quality Improvement Program database. This database is limited to a 30-day postoperative outcomes period, and therefore is unable to identify complications that occur outside of this 30-day window. Potential long-term postoperative complications, such as implant failure or revision surgery, are unable to be accounted for. Additionally, operative factors such as hospital location and surgeon skill level were unable to be identified. Despite these limitations, we used a large national database to better understand the impact of our aging population on postoperative outcomes following TSA. Furthermore, this study allowed us to identify transfusion, nonhome discharge, readmission, and mortality to be increasingly statistically significant outcomes as a patient ages. Future research needs to be done to further understand which comorbidities are associated with adverse outcomes in the older population to better preoperatively manage these patients.

Conclusion

From age 60, each decade of age was identified to be an increasingly significant predictor for blood transfusion, readmission, and nonhome discharge following TSA. From age 70, each decade of age was additionally identified to be an increasingly significant predictor for mortality. Increasing age was consistently an independent predictor for non-home discharge. As the patient population continues to age, understanding the complications associated with increasing age may help to improve outcomes.

Disclaimers:

Funding: No funding was disclosed by the authors.

Conflicts of interest: The authors, their immediate families, and any research foundation with which they are affiliated have not received any financial payments or other benefits from any commercial entity related to the subject of this article.

Footnotes

Institutional review board approval was not required for this study.

References

  • 1.Almasri M., Kohrs B., Fleckenstein C.M., Nolan J., Wendt A., Hasan S.S. Reverse shoulder arthroplasty in patients 85 years and older is safe, effective, and durable. J Shoulder Elbow Surg. 2022;31:2287–2297. doi: 10.1016/j.jse.2022.03.024. [DOI] [PubMed] [Google Scholar]
  • 2.Ansok C.B., Muh S.J. Optimal management of glenohumeral osteoarthritis. Orthop Res Rev. 2018;10:9–18. doi: 10.2147/orr.S134732. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Berliner N. Anemia in the elderly. Trans Am Clin Climatol Assoc. 2013;124:230–237. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715932/ [PMC free article] [PubMed] [Google Scholar]
  • 4.Bovonratwet P., Chen A.Z., Shen T.S., Ondeck N.T., Islam W., Ast M.P., et al. What are the reasons and risk factors for 30-day readmission after outpatient total hip arthroplasty? J Arthroplasty. 2021;36:S258–S263.e1. doi: 10.1016/j.arth.2020.10.011. [DOI] [PubMed] [Google Scholar]
  • 5.Carney J., Gerlach E., Plantz M.A., Cantrell C., Swiatek P.R., Marx J.S., et al. Short-term outcomes after total shoulder arthroplasty in octogenarians: a matched analysis. Cureus. 2021;13 doi: 10.7759/cureus.16441. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Chen F.M., Fryer G.E., Jr., Phillips R.L., Jr., Wilson E., Pathman D.E. Patients' beliefs about racism, preferences for physician race, and satisfaction with care. Ann Fam Med. 2005;3:138–143. doi: 10.1370/afm.282. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Cho C.H., Song K.S., Hwang I., Coats-Thomas M.S., Warner J.J.P. Changes in psychological status and health-related quality of life following total shoulder arthroplasty. J Bone Joint Surg Am. 2017;99:1030–1035. doi: 10.2106/jbjs.16.00954. [DOI] [PubMed] [Google Scholar]
  • 8.Cvetanovich G.L., Bohl D.D., Frank R.M., Verma N.N., Cole B.J., Nicholson G.P., et al. Reasons for readmission following primary total shoulder arthroplasty. Am J Orthop (Belle Mead NJ) 2018;47 doi: 10.12788/ajo.2018.0053. [DOI] [PubMed] [Google Scholar]
  • 9.D'Apuzzo M.R., Pao A.W., Novicoff W.M., Browne J.A. Age as an independent risk factor for postoperative morbidity and mortality after total joint arthroplasty in patients 90 years of age or older. J Arthroplasty. 2014;29:477–480. doi: 10.1016/j.arth.2013.07.045. [DOI] [PubMed] [Google Scholar]
  • 10.Dugdale E.M., Tybor D., Kain M., Smith E.L. Comparing inpatient complication rates between octogenarians and nonagenarians following primary and revision total hip arthroplasty in a nationally representative sample 2010-2014. Geriatrics (Basel) 2019;4:55. doi: 10.3390/geriatrics4040055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Fleisher I., Ong C.B., Chiu Y.F., Krell E., Cushner F.D., Gausden E., et al. Nonagenarians and octogenarians undergoing THA and TKA: a 10-year age difference increases rates of in-hospital complications but does not affect 90-day outcomes. HSS J. 2022;18:478–484. doi: 10.1177/15563316221090508. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Foruria A.M., Sperling J.W., Ankem H.K., Oh L.S., Cofield R.H. Total shoulder replacement for osteoarthritis in patients 80 years of age and older. J Bone Joint Surg Br. 2010;92:970–974. doi: 10.1302/0301-620x.92b7.23671. [DOI] [PubMed] [Google Scholar]
  • 13.Fu M.C., Boddapati V., Dines D.M., Warren R.F., Dines J.S., Gulotta L.V. The impact of insulin dependence on short-term postoperative complications in diabetic patients undergoing total shoulder arthroplasty. J Shoulder Elbow Surg. 2017;26:2091–2096. doi: 10.1016/j.jse.2017.05.027. [DOI] [PubMed] [Google Scholar]
  • 14.Hunter D.J., Bierma-Zeinstra S. Osteoarthritis. Lancet. 2019;393:1745–1759. doi: 10.1016/s0140-6736(19)30417-9. [DOI] [PubMed] [Google Scholar]
  • 15.Ibounig T., Simons T., Launonen A., Paavola M. Glenohumeral osteoarthritis: an overview of etiology and diagnostics. Scand J Surg. 2021;110:441–451. doi: 10.1177/1457496920935018. [DOI] [PubMed] [Google Scholar]
  • 16.Kerr R., Resnick D., Pineda C., Haghighi P. Osteoarthritis of the glenohumeral joint: a radiologic-pathologic study. AJR Am J Roentgenol. 1985;144:967–972. doi: 10.2214/ajr.144.5.967. [DOI] [PubMed] [Google Scholar]
  • 17.Koh J., Galvin J.W., Sing D.C., Curry E.J., Li X. Thirty-day complications and readmission rates in elderly patients after shoulder arthroplasty. J Am Acad Orthop Surg Glob Res Rev. 2018;2:e068. doi: 10.5435/JAAOSGlobal-D-18-00068. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Kozak T., Bauer S., Walch G., Al-Karawi S., Blakeney W. An update on reverse total shoulder arthroplasty: current indications, new designs, same old problems. EFORT Open Rev. 2021;6:189–201. doi: 10.1302/2058-5241.6.200085. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Kurapatti M., Patel V., Arraut J., Oakley C., Rozell J.C., Schwarzkopf R. Primary total hip arthroplasty in patients older than 90 years of age - a retrospective matched cohort study. Hip Int. 2023;33:628–632. doi: 10.1177/11207000221082251. [DOI] [PubMed] [Google Scholar]
  • 20.Lavoie-Gagne O., Lu Y., MacLean I., Forlenza E., Forsythe B. Discharge destination after shoulder arthroplasty: an analysis of discharge outcomes, placement risk factors, and recent trends. J Am Acad Orthop Surg. 2021;29:e969–e978. doi: 10.5435/jaaos-d-20-00294. [DOI] [PubMed] [Google Scholar]
  • 21.Lee D., Lee R., Fassihi S.C., Stadecker M., Heyer J.H., Stake S., et al. Risk factors for blood transfusions in primary anatomic and reverse total shoulder arthroplasty for osteoarthritis. Iowa Orthop J. 2022;42:217–225. [PMC free article] [PubMed] [Google Scholar]
  • 22.Levitt E.B., Patch D.A., Johnson J.P., Love B., Waldrop R.P., McGwin G., et al. Risk factors for prolonged hospital stay after femoral neck fracture. Orthopedics. 2023;46:211–217. doi: 10.3928/01477447-20230207-02. [DOI] [PubMed] [Google Scholar]
  • 23.Lo I.K., Litchfield R.B., Griffin S., Faber K., Patterson S.D., Kirkley A. Quality-of-life outcome following hemiarthroplasty or total shoulder arthroplasty in patients with osteoarthritis. A prospective, randomized trial. J Bone Joint Surg Am. 2005;87:2178–2185. doi: 10.2106/jbjs.D.02198. [DOI] [PubMed] [Google Scholar]
  • 24.Lovy A.J., Keswani A., Beck C., Dowdell J.E., Parsons B.O. Risk factors for and timing of adverse events after total shoulder arthroplasty. J Shoulder Elbow Surg. 2017;26:1003–1010. doi: 10.1016/j.jse.2016.10.019. [DOI] [PubMed] [Google Scholar]
  • 25.Macías-Hernández S.I., Morones-Alba J.D., Miranda-Duarte A., Coronado-Zarco R., Soria-Bastida M.L.A., Nava-Bringas T., et al. Glenohumeral osteoarthritis: overview, therapy, and rehabilitation. Disabil Rehabil. 2017;39:1674–1682. doi: 10.1080/09638288.2016.1207206. [DOI] [PubMed] [Google Scholar]
  • 26.Mark Mather P.S., Kilduff L. Fact sheet: aging in the United States. https://www.prb.org/resources/fact-sheet-aging-in-the-united-states/ Available at: Accessed December 22, 2022.
  • 27.McCormick F., Nwachukwu B.U., Kiriakopoulos E.B., Schairer W.W., Provencher M.T., Levy J. In-hospital mortality risk for total shoulder arthroplasty: a comprehensive review of the medicare database from 2005 to 2011. Int J Shoulder Surg. 2015;9:110–113. doi: 10.4103/0973-6042.167938. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Moore H.G., Schneble C.A., Kahan J.B., Grauer J.N., Rubin L.E. Unicompartmental knee arthroplasty in octogenarians: a national database analysis including over 700 octogenarians. Arthroplast Today. 2022;15:55–60. doi: 10.1016/j.artd.2022.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Sherman A.E., Plantz M.A., Hardt K.D. Outcomes of elective total hip arthroplasty in nonagenarians and centenarians. J Arthroplasty. 2020;35:2149–2154. doi: 10.1016/j.arth.2020.03.026. [DOI] [PubMed] [Google Scholar]
  • 30.Simovitch R.W., Friedman R.J., Cheung E.V., Flurin P.H., Wright T., Zuckerman J.D., et al. Rate of improvement in clinical outcomes with anatomic and reverse total shoulder arthroplasty. J Bone Joint Surg Am. 2017;99:1801–1811. doi: 10.2106/jbjs.16.01387. [DOI] [PubMed] [Google Scholar]
  • 31.Sinusas K. Osteoarthritis: diagnosis and treatment. Am Fam Physician. 2012;85:49–56. [PubMed] [Google Scholar]
  • 32.Sizer S.C., Bugbee W.D., Copp S.N., Ezzet K.A., Walker R.H., McCauley J.C., et al. Hip and knee arthroplasty outcomes for nonagenarian patients. J Am Acad Orthop Surg. 2022;30:1090–1097. doi: 10.5435/jaaos-d-22-00406. [DOI] [PubMed] [Google Scholar]
  • 33.Sperling J.W., Duncan S.F., Cofield R.H., Schleck C.D., Harmsen W.S. Incidence and risk factors for blood transfusion in shoulder arthroplasty. J Shoulder Elbow Surg. 2005;14:599–601. doi: 10.1016/j.jse.2005.03.006. [DOI] [PubMed] [Google Scholar]
  • 34.Stauder R., Valent P., Theurl I. Anemia at older age: etiologies, clinical implications, and management. Blood. 2018;131:505–514. doi: 10.1182/blood-2017-07-746446. [DOI] [PubMed] [Google Scholar]
  • 35.Testa E.J., Yang D., Steflik M.J., Owens B.D., Parada S.A., Daniels A.H., et al. Reverse total shoulder arthroplasty in patients 80 years and older: a national database analysis of complications and mortality. J Shoulder Elbow Surg. 2022;31:S71–S77. doi: 10.1016/j.jse.2022.01.146. [DOI] [PubMed] [Google Scholar]
  • 36.Viola J., Gomez M.M., Restrepo C., Maltenfort M.G., Parvizi J. Preoperative anemia increases postoperative complications and mortality following total joint arthroplasty. J Arthroplasty. 2015;30:846–848. doi: 10.1016/j.arth.2014.12.026. [DOI] [PubMed] [Google Scholar]
  • 37.Westermann R.W., Anthony C.A., Duchman K.R., Pugely A.J., Gao Y., Hettrich C.M. Incidence, causes and predictors of 30-day readmission after shoulder arthroplasty. Iowa Orthop J. 2016;36:70–74. [PMC free article] [PubMed] [Google Scholar]
  • 38.White C.A., Duey A., Zaidat B., Li T., Quinones A., Cho S.K., et al. Does age at surgery influence short-term outcomes and readmissions following anatomic total shoulder arthroplasty? J Orthop. 2023;37:69–74. doi: 10.1016/j.jor.2023.02.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Wolff A.L., Rosenzweig L. Anatomical and biomechanical framework for shoulder arthroplasty rehabilitation. J Hand Ther. 2017;30:167–174. doi: 10.1016/j.jht.2017.05.009. [DOI] [PubMed] [Google Scholar]
  • 40.Yao D.H., Keswani A., Shah C.K., Sher A., Koenig K.M., Moucha C.S. Home discharge after primary elective total joint arthroplasty: postdischarge complication timing and risk factor analysis. J Arthroplasty. 2017;32:375–380. doi: 10.1016/j.arth.2016.08.004. [DOI] [PubMed] [Google Scholar]

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