Literature DB >> 36081687

Renal disease is a risk factor for complications and mortality after open reduction internal fixation of proximal humerus fractures.

Seth Ahlquist1, Peter P Hsiue1, Clark J Chen1, Brendan Shi1, Alexander Upfill-Brown1, Ben V Kelley1, Peyman Benharash2, Christos Photopoulos3, Alexandra I Stavrakis1.   

Abstract

Background: Renal osteodystrophy predisposes renal disease patients to fracture. Proximal humerus fractures (PHFs) frequently undergo open reduction internal fixation (ORIF); however, the effect of renal disease on outcomes is unknown.
Methods: A retrospective review of the Nationwide Readmissions Database used International Classification of Diseases, 9th Revision, codes to identify patients who underwent ORIF for closed PHF from 2010 to 2014 with no renal disease, predialysis chronic renal disease (CRD), and end-stage renal disease (ESRD).
Results: A total of 85,433 patients were identified, including 5498 (6.4%) CRD and 636 (0.7%) ESRD. CRD and ESRD patients had increased age, comorbidities, and rates of Medicare insurance. After adjusting for differences, CRD and ESRD patients were at increased risk of any complication (odds ratio [OR] 2.48, 1.66), blood transfusion (OR 1.85, 3.31), respiratory complications (OR 1.14, 1.59), acute renal failure (OR 4.80, 1.67), systemic infection (OR 2.00, 3.14), surgical site infection (OR 1.52, 3.87), longer length of stay (7.1 and 12.9 days vs. 5.9 days), and higher cost ($21,669 and $35,413 vs. $20,394) during index hospitalization, as well as surgical site infection (OR 1.43, 3.03) and readmission (OR 1.61, 3.69) within 90 days of discharge, respectively, compared with no renal disease patients. During index hospitalization, CRD patients also had increased risk for periprosthetic fracture (OR 4.97) and cardiac complications (OR 1.47), whereas ESRD patients had increased risk of mortality (OR 5.79), wound complication (2.67), and deep vein thrombosis (OR 16.70).
Conclusion: These findings suggest renal patients are at increased risk for complications after PHF ORIF, highlighting the importance of close perioperative monitoring and appropriate patient selection in this population, including strong consideration of nonoperative management.
© 2022 Published by Elsevier Inc. on behalf of American Shoulder and Elbow Surgeons.

Entities:  

Keywords:  Chronic renal disease; Dialysis; End-stage renal disease; Open reduction internal fixation; Proximal humerus fracture; Readmission

Year:  2022        PMID: 36081687      PMCID: PMC9446219          DOI: 10.1016/j.jseint.2022.05.015

Source DB:  PubMed          Journal:  JSES Int        ISSN: 2666-6383


Proximal humerus fractures (PHFs) are the third most common fracture pattern elderly, frequently resulting from low-energy falls., Many PHFs are minimally displaced and can successfully be treated nonoperatively, but operative management may be indicated in displaced fractures to reduce long-term pain and dysfunction. Given improvements in implants and surgical technique, the number of operatively treated fractures has increased over time. Historically, 3- and 4-part PHFs have been treated with either open reduction internal fixation (ORIF) or hemiarthroplasty. The advent of proximal humeral locking plate technology has greatly increased the range of PHFs amenable to ORIF and results in satisfactory clinical outcomes.,,,, Although indications for total shoulder arthroplasty and reverse total shoulder arthroplasty (rTSA) have been recently expanding, ORIF remains the most common surgical treatment for PHF. There are multiple technical challenges associated with ORIF in the geriatric population, including fracture displacement, comminution, and poor bone quality,,, with complications rates as high as 44%.,,,, There is thought these challenges may be obviated by correct surgical technique, including attention to optimal screw positioning and medial column support.,, However, it is also important to understand how patient-related factors including comorbidities might affect clinical outcomes and thus inform appropriate patient selection. Renal disease is one of the most common medical comorbidities in the global population, affecting about 9% of individuals, with a spectrum of severity from chronic renal disease (CRD) of varying stages to end-stage renal disease (ESRD) requiring dialysis. Multiple studies have established that patients with renal disease are at an increased risk for pathologic fractures secondary to renal osteodystrophy, which broadly incorporates the biochemical abnormalities and skeletal manifestations of renal patients.,, Perioperatively, renal disease is further known to complicate operative management of various fractures. ESRD is associated with increased mortality, medical complications, readmission, and revision surgery in hip fractures.,,, More generally, renal disease has been associated with increased rates of postoperative infection, osteonecrosis, nonunion, and implant failure.,, Despite a substantial number of renal patients undergoing PHF ORIF, the effect of CRD and ESRD on postoperative outcomes is unknown. The purpose of this study was to evaluate complications during the index hospitalization and within 90 days of discharge, as well as resource utilization outcomes.

Materials and methods

The study cohort was identified from the Nationwide Readmissions Database (NWRD) from 2010 to 2014. NWRD is a nationally representative database developed and validated through a federal–state–industry partnership sponsored by the Healthcare Cost and Utilization Project (HCUP). The HCUP confirms incorporation of data from the State Inpatient Databases of 28 states, encompassing approximately 51% of the total US population and 59% of all US hospitalizations. The HCUP creates a verified patient linkage number in the State Inpatient Databases that is used to track patients across multiple hospitals. The NWRD uses a stratified 2-stage cluster algorithm based on discharge weights reported by statewide HCUP contributors for approximately 35 million discharges to generate estimates of nationally representative statistics. The database is sufficiently deidentified such that this study was deemed exempt by the institutional review board at our institution. Patients aged >18 years who underwent PHF ORIF were identified using the International Classification of Diseases, 9th Revision, (ICD-9) diagnosis codes for PHF and the procedure code for humerus ORIF (Table I). At the time of data retrieval, the study years of 2010-2014 were selected to preserve homogeneity in coding, such that only ICD-9 codes were used and not the first few years of ICD-10 coding also. Patients were separated into cohorts based on the diagnosis of CRD (all 5 stages) or ESRD (Table I). Open PHFs were excluded to avoid confounding, given open fractures are known to have higher complication rates and represent a higher energy injury mechanism, as well as the fact they are very rare occurrences in this anatomical region. Cases of bilateral PHF ORIF were also excluded. All subsequent readmissions were considered for these 2 cohorts. Baseline comorbidity was quantified using the Elixhauser Comorbidity Index.
Table I

ICD-9 codes used to identify patients of interest.

DiagnosisICD-9 codes
Proximal humerus fracture
 Closed812.00-812.03, 812.09, 812.20
 Open812.10-812.13, 812.19
Chronic renal disease stages I to V585.1-5, 585.9
End-stage renal disease
585.6
Procedures
ICD-9 codes
Open reduction and internal fixation79.31

ICD-9, International Classification of Diseases, Ninth Revision.

ICD-9 codes used to identify patients of interest. ICD-9, International Classification of Diseases, Ninth Revision. The primary outcomes included mortality, blood transfusion, readmission within 90 days, and postoperative complications during index hospitalization. ICD-9 codes were used to identify the reasons for revision surgery. Multivariate logistic regression was performed while adjusting for age, sex, insurance type, and comorbidities. Of note, comorbidities related to renal disease, including renal failure, fluid/electrolyte disorders, and coagulopathy, were excluded from the regression model to avoid collinearity when examining CRD and ESRD outcomes. The secondary outcomes included length of stay (LOS) and cost during index hospitalization. Individual hospitalization costs were calculated using Diagnosis-Related Group codes multiplied by hospital-specific cost-to-charge ratios provided by the Agency for Healthcare Research and Quality from the Centers for the NWRD and then adjusted for inflation using the yearly gross domestic product. These estimates were further adjusted for through the use of the HCUP indices of the Diagnosis-Related Group to account for differences in hospitalization severity. All result sample sizes represented national estimates taking into account the NWRD’s stratified 2-stage cluster design using Stata’s SVY (survey data) commands while incorporating individual discharge-level weights. Descriptive analysis was used to describe baseline characteristics and outcome parameters within each comparison group. Categorical variables are presented as adjusted odds ratios (ORs) and compared using the Chi-square statistic, except when individual cell counts were less than 10, in which case Fisher’s exact test was used. Continuous variables were reported using mean and 95% confidence interval, and P values and were compared using Student t-test after ensuring normal distributions. For skewed distributions, continuous variables are presented as median (interquartile range), and the Wilcoxon rank-sum test was used. Statistical analysis was performed by separately comparing patients from CRD and ESRD groups to no renal disease (NRD) patients. Data were stored and analyzed using Stata 16.1 (College Station, TX). All tests were unpaired and 2 tailed with a significance value set at P < .05.

Results

A total of 85,433 patients undergoing proximal humerus ORIF were identified during the 5-year study period. There were 79,300 (92.8%) NRD patients, 5498 (6.4%) CRD patients, and 636 (0.7%) ESRD patients (Fig. 1).
Figure 1

All closed proximal humerus fracture patients who underwent open reduction and internal fixation from 2010-2014 were identified. These patients were then separated into 3 groups based on whether they had a diagnosis of predialysis CRD or ESRD. ORIF, open reduction internal fixation; NRD, no renal disease; CRD, chronic renal disease; ESRD, end-stage renal disease.

All closed proximal humerus fracture patients who underwent open reduction and internal fixation from 2010-2014 were identified. These patients were then separated into 3 groups based on whether they had a diagnosis of predialysis CRD or ESRD. ORIF, open reduction internal fixation; NRD, no renal disease; CRD, chronic renal disease; ESRD, end-stage renal disease.

Patient characteristics

CRD and ESRD patients were older compared with NRD patients (75.4 and 66.4 years vs. 63.7 years, respectively, P < .01; Table II). The mean Elixhauser Comorbidity Index was higher for CRD patients (4.94 vs. 2.17, P < .0001) and ESRD patients (4.99 vs 2.17, P < .0001) compared with NRD patients. There was a significantly higher proportion of males in the CRD and ESRD (33.6% and 48.3% vs. 29.4%, respectively, P < .001; Table III). Patients with CRD and ESRD were more likely to have Medicare (82.3% vs. 52.1%, P < .0001) and less likely to have private (11.1% and 9.1% vs. 29.6%, respectively, P < .0001) or self-insurance (1.0% and 1.3% vs. 4.8%, respectively, P < .01) than NRD patients. CRD patients were also less likely to have Medicaid insurance than NRD patients (3.2% vs. 6.1%, P = .0001). CRD patients were more likely to be treated at urban nonteaching hospitals (44.1% vs. 37.1%, P < .0001) and less likely to be treated at urban teaching hospitals (46.1% vs. 53.1%, P < .0001) than NRD patients. ESRD patients were less likely to be treated at rural hospitals than NRD patients (5.0% vs. 9.8%, P = .01). CRD and ESRD patients were less likely to be treated at a small hospital than NRD patients (8.3% and 5.3% vs. 10.9%, respectively, P ≤ .0132). CRD and ESRD patients had lower rates of discharge to home (26.1% and 21.6% vs. 51.2%, P < .0001) and higher rates of discharge to skilled nursing facility (52.4% and 54.3% vs. 29.1%, P < .0001). CRD also had a higher rate of discharge to long-term acute care hospitals than NRD patients (1.3% vs. 0.6%, P = .0027).
Table II

Age and elixhauser comorbidity index.

Age (yr)
Elixhauser comorbidity index
Mean95% CIP valueMean95% CIP value
NRD63.763.4-64.1-2.172.14-2.19-
Predialysis CRD75.474.8-76.0<.00014.944.85-5.02<.0001
ESRD66.464.5-68.3.00674.994.76-5.22<.0001

NRD, no renal disease; CRD, chronic renal disease; ESRD, end-stage renal disease; CI, confidence interval.

P value when compared with NRD group.

Table III

Patient demographics.

NRD
Predialysis CRD
ESRD
n (%)P valuen (%)P valuen (%)P value
Sex
 Male23,354 (29.4)-1845 (33.6).0006307 (48.3)<.0001
 Female55,946 (70.6)-3653 (66.4)329 (51.7)
Insurance
 Medicare41,342 (52.1)-4524 (82.3)<.0001523 (82.3)<.0001
 Medicaid4840 (6.1)-176 (3.2).000128 (4.4).1770
 Private23,447 (29.6)-609 (11.1)<.000158 (9.1)<.0001
 Self3800 (4.8)-58 (1.0)<.00018 (1.3).0013
Hospital type
 Rural7745 (9.8)-538 (9.8).976632 (5.0).0144
 Urban nonteaching29,443 (37.1)-2425 (44.1)<.0001259 (40.7).2495
 Urban teaching42,112 (53.1)-2535 (46.1)<.0001345 (54.3).7179
Hospital size
 Small8644 (10.9)-454 (8.3).000734 (5.3).0132
 Medium17,357 (21.9)-1317 (24.0).0627150 (23.5).5377
 Large53,299 (67.2)-3727 (67.8).6493453 (71.2).1951
Discharge
 Home40,665 (51.2)-1433 (26.1)<.0001137 (21.6)<.0001
 Home with HH14510 (18.3)-990 (18.0).7606115 (18.0).9224
 SNF23,091 (29.1)-2886 (52.4)<.0001345 (54.3)<.0001
 LTACH483 (0.6)-72.9 (1.3).00274 (0.6).9538

NRD, no renal disease; CRD, chronic renal disease; ESRD, end-stage renal disease; HH, home health; SNF, skilled nursing facility; LTACH, long-term acute care hospital.

Bold values indicate statistical significance.

P value when compared with NRD group.

Age and elixhauser comorbidity index. NRD, no renal disease; CRD, chronic renal disease; ESRD, end-stage renal disease; CI, confidence interval. P value when compared with NRD group. Patient demographics. NRD, no renal disease; CRD, chronic renal disease; ESRD, end-stage renal disease; HH, home health; SNF, skilled nursing facility; LTACH, long-term acute care hospital. Bold values indicate statistical significance. P value when compared with NRD group.

CRD clinical outcomes

During the index hospitalization, CRD patients were at increased risk of any complication (OR 2.48, P < .001), blood transfusion (OR 1.85, P < .001), cardiac complications (OR 1.47, P < .001), respiratory complications (OR 1.14, P < .001), acute renal failure (ARF; OR 4.80, P < .001), and systemic infection (OR 2.00, P = .002), compared with NRD patients (Table IV). There were no instances of deep vein thrombosis (DVT) in this cohort. In terms of surgical complications during the index hospitalization, the CRD cohort was at increased risk of periprosthetic fracture (OR 4.97, P = .022) and surgical site infection (SSI; 1.52, P = .012). Within 90 days of discharge, CRD patients were at increased risk of readmission (OR 1.61, P < .001) and SSI (OR 1.43, P = .033).
Table IV

NRD versus predialysis CRD clinical outcomes.

Index hospitalizationNRD, n (%)Predialysis CRD, n (%)OR95% CIP value
Any complication25,771 (32.5)3557 (64.7)2.482.18-2.82<.001
Medical complications
 Mortality348 (0.4)109 (2.0)1.640.99-2.73.056
 Blood transfusion13,520 (17.0)1952 (35.5)1.851.64-2.08<.001
 Cardiac22,052 (27.8)2745 (49.9)1.471.28-1.69<.001
 Respiratory4828 (6.1)535 (9.7)1.140.93-1.40<.001
 PE387 (0.5)18 (0.3)0.700.34-1.44.33
 DVT21 (0)----
 ARF2672 (3.4)1763 (32.1)10.528.77-12.61<.001
 Systemic infection743 (0.9)122 (2.2)2.001.29-3.09.002
Surgical complications
 Periprosthetic fracture28 (0)7 (0.1)4.971.27-19.50.022
 Dislocation95 (0.1)14 (0.2)1.490.37-5.99.576
 Revision38 (0)----
 Revision to arthroplasty1403 (1.8)114 (2.1)1.200.80-1.79.388
 SSI1883 (2.4)269 (4.9)1.521.10-2.11.012
 Wound complication574 (0.7)50 (0.9)1.190.68-2.10.540
Complications within 90 days of discharge
Readmission9184 (11.6)1206 (21.9)1.611.38-1.88<.001
 Periprosthetic fracture22 (0)5 (0.1)3.800.87-16.64.077
 Dislocation78 (0.1)6 (0.1)0.740.17-3.33.698
 Revision21 (0)----
 Revision to arthroplasty949 (1.2)76 (1.4)1.050.64-1.72.836
 SSI1250 (1.6)170 (3.1)1.431.03-1.98.033
 Wound complication524 (0.7)50 (0.9)1.020.50-2.07.952

NRD, no renal disease; CRD, chronic renal disease; PE, pulmonary embolism; DVT, deep vein thrombosis; ARF, acute renal failure; SSI, surgical site infection; CI, confidence interval; OR, odds ratio.

Bold values indicate statistical significance.

NRD versus predialysis CRD clinical outcomes. NRD, no renal disease; CRD, chronic renal disease; PE, pulmonary embolism; DVT, deep vein thrombosis; ARF, acute renal failure; SSI, surgical site infection; CI, confidence interval; OR, odds ratio. Bold values indicate statistical significance.

ESRD clinical outcomes

During the index hospitalization, ESRD patients were at increased risk of any complication (OR 1.66, P = .002), mortality (OR 5.79, P < .001), blood transfusion (OR 3.31, P < .001), respiratory complications (OR 1.59, P = .012), DVT (OR 16.70, P < .001), ARF (OR 1.67, P = .029), systemic infection (OR 3.14, P < .001), SSI (OR 3.87, P < .001), and wound complication (OR 2.67, P = .016) compared with NRD patients (Table V). Within 90 days of hospital discharge, ESRD patients were at increased risk of readmission (OR 3.69, P < .001) and SSI (OR 3.03, P < .001).
Table V

NRD vs. ESRD clinical outcomes.

Index hospitalizationNRD, n (%)ESRD, n (%)OR95% CIP value
Any complication25,771 (32.5)346 (54.4)1.661.21-2.29.002
Medical complications
 Mortality348 (0.4)31 (4.9)5.792.90-11.55<.001
 Blood transfusion13,520 (17.0)277 (43.6)3.312.52-4.36<.001
 Cardiac22,052 (27.8)283 (44.5)1.370.98-1.94.069
 Respiratory4828 (6.1)91 (14.3)1.591.11-2.27.012
 PE387 (0.5)2 (0.4)0.750.08-6.70.798
 DVT21 (0)4 (0.7)16.73.49-80.0<.001
 ARF2672 (3.4)55 (8.7)1.671.06-2.65.029
 Systemic infection743 (0.9)32 (5.0)3.141.72-3.5.73<.001
Surgical complications
 Periprosthetic fracture28 (0)----
 Dislocation95 (0.1)3 (0.5)2.570.36-18.3.346
 Revision38 (0)----
 Revision to arthroplasty1403 (1.8)10 (1.5)1.010.36-2.84.986
 SSI1883 (2.4)77 (12.1)3.872.61-5.75<.001
 Wound complication574 (0.7)15 (2.3)2.671.20-5.92.016
Complications within 90 days of discharge
Readmission9184 (11.6)232 (36.5)3.692.73-4.99<.001
 Periprosthetic fracture22 (0)----
 Dislocation78 (0.1)3 (0.5)2.670.39-18.30.317
 Revision21 (0)----
 Revision to arthroplasty949 (1.2)7 (1.1)1.020.31-3.42.973
 SSI1250 (1.6)47 (7.4)3.031.87-4.93<.001
 Wound complication524 (0.7)11 (1.7)1.980.71-5.52.192

NRD, no renal disease; ESRD, end-stage renal disease; PE, pulmonary embolism; DVT, deep vein thrombosis; ARF, acute renal failure; SSI, surgical site infection; CI, confidence interval; OR, odds ratio.

Bold values indicate statistical significance.

NRD vs. ESRD clinical outcomes. NRD, no renal disease; ESRD, end-stage renal disease; PE, pulmonary embolism; DVT, deep vein thrombosis; ARF, acute renal failure; SSI, surgical site infection; CI, confidence interval; OR, odds ratio. Bold values indicate statistical significance.

Index hospitalization LOS and cost

CRD patients and ESRD patients had an increased average hospital LOS (7.1 and 12.9 days vs. 5.5 days, respectively, P < .0001) compared with NRD patients (Table VI). CRD patients and ESRD patients had an increased mean hospitalization cost ($21,669 and $35,413 vs. $20,394 P < .01) compared with NRD patients.
Table VI

Index hospitalization LOS and cost.

LOS (d)
Cost ($)
Mean95% CIP valueMean95% CIP value
NRD5.55.4-5.7-20,393.8219,886.34-20,901.31-
Predialysis CRD7.16.7-7.4<.000121,668.9320,757.78-22,580.09.009
ESRD12.911.0-14.8<.000135,412.7030,823.23-40,002.18<.0001

NRD, no renal disease; CRD, chronic renal disease; ESRD, end-stage renal disease; CI, confidence interval; LOS, length of stay.

P value when compared with NRD group.

Index hospitalization LOS and cost. NRD, no renal disease; CRD, chronic renal disease; ESRD, end-stage renal disease; CI, confidence interval; LOS, length of stay. P value when compared with NRD group.

Discussion

To the best of our knowledge, this is the first study to examine the impact of CRD vs. ESRD on the clinical outcomes of ORIF for PHF. We found that both CRD and ESRD patients have worse clinical outcomes than NRD patients after undergoing PHF ORIF. The present study demonstrates that both renal disease cohorts have a greater than 50% chance of complication during index hospitalization for PHF ORIF (Tables IV and V). Both cohorts were more likely to experience postoperative medical complications, namely, cardiac, respiratory, and renal complications as well as systemic infection. In particular, both CRD and ESRD patients were at an increased risk for ARF. This is likely because of the increased physiological stress of surgery and the possible perioperative use of nephrotoxic antibiotics, which may exacerbate even mild pre-existing renal dysfunction. These findings underscore the need for a critical assessment of kidney function preoperatively as well as for close monitoring postoperatively. Our findings suggest that both CRD and ESRD patients are at an increased risk for blood transfusion during PHF ORIF index hospitalization compared with NRD patients. This is consistent with the findings of a prior study by Malchercyzk et al. Renal disease is frequently accompanied by hematologic aberrations, including anemia and coagulopathy. As a result of decreased hematopoiesis and impaired coagulation pathways, these patients are susceptible to clinically significant blood loss, and lower transfusion thresholds may be considered. On the other hand, renal patients can also exhibit a paradoxical hypercoagulable state. In our study, both cohorts had low rates of PE, not significantly higher than the NRD group (Tables IV and V). This is mirrored by the results of work by Heyer et al demonstrating that there is a low rate of VTE in PHF patients overall. In our study, the rate of DVT was found to be higher in the ESRD cohort compared to NRD cohort. This result has been reported previously in a large prospective study, with the mechanism attributed to the pro-inflammatory state present during nephrotic syndrome. In terms of index hospitalization surgical complications, our study demonstrated that CRD patients are at increased risk for periprosthetic fracture (Table IV). This result is intuitive, given the association of renal disease with poor bone quality from osteoporosis and osteodystrophy. Periprosthetic fractures are unfortunate because they may require revision surgery or result in decreased function, specifically it has been shown that the majority of patients with mechanical complications following PHF ORIF require arthroplasty. Both cohorts were also at increased risk for SSI during index hospitalization. This may be expected given renal disease patients have multiple risk factors for poor wound healing, including generally increased age, frequently comorbid diabetes and peripheral vascular disease, and decreased physical mobility increasing the risk for the development of pressure-related wounds. SSIs can be costly to treat and can lead to systemic infections, ultimately putting these patients at risk for fatal events. Readmission after PHF ORIF is relatively rare, with prior studies reporting 2%-8% and ∼15% within 30 and 90 days of surgery, respectively.,,, In our study, 22% of CRD patients 90-day readmissions and ESRD ∼37%. Prior studies have not examined the impact of renal dysfunction on readmission in PHF ORIF. Nevertheless, our results are consistent with the hip fracture literature, which found that patients with ESRD are at higher risk for readmission and complications after surgery.,,,,, When examining specific causes for 90-day readmission, SSI was the most common in both cohorts. Interestingly, there was no concurrent increased risk of reoperation, suggesting these were likely superficial SSI amenable to antibiotics. CRD and ESRD patients in our study had significantly longer index hospitalization LOS after PHF ORIF compared with NRD patients. The increased LOS compared with NRD patients was minimal for CRD patients (additional 1.6 days) but substantial for ESRD patients (additional 7.4 days). A prior study demonstrated that patients with PHF treated operatively with greater numbers of comorbidities have higher LOS, but renal disease has never been isolated as an independent risk factor. Our analysis showed that ORIF in renal disease patients increased total cost by approximately 6.3% and 73.6% for CRD and ESRD patients, respectively (Table VI). A staggering increase in cost, but it is understandable given the mean LOS for ESRD patients was nearly 3 times that for NRD patients. Estimates of the increased financial burden associated with PHF ORIF in renal disease patients have not been previously examined in the literature. Previous studies have reported the presence of certain medical comorbidities may increase the risk of complications/mortality after PHF ORIF., Specifically, diabetes has been shown to have an increased risk of sepsis, pneumonia, mortality and increased hospital LOS, and obesity with infection and complications.,, However, the present study is the first to identify renal disease as a risk factor for mortality, readmission, and overall complications in PHF ORIF. A prior study, however, found an association of hypoalbuminemia with complications and readmission after PHF ORIF. As a marker of malnourishment, hypoalbuminemia can often be associated with renal disease due to protein wasting in this condition. This study has several advantages. The large, nationally representative sample size is more likely to accurately represent this patient population and identify significant differences in relatively rare complications. Furthermore, because this study includes data from both private and Medicare insurance makes our findings more externally valid. Readmission data allow for a more complete representation of early complications, rather than only those identified during the index hospitalization. There are several limitations to this study. First, there are inherent shortcomings associated with large administrative databases, including inconsistencies in coding and potential errors in data entry. In addition, our study period of 90 days postsurgery results in a decreased ability to capture long-term complications. Potential confounding exists despite multivariate analysis, given possible different DVT prophylaxis, perioperative antibiotics, implants, and surgical techniques that may be used at individual institutions. Selection bias may exist where the threshold for indicating renal disease patients for PHF ORIF may be higher than that for NRD patients. Specifically, only renal patients with the most severe fracture patterns or most reasonable bone quality may be preferentially indicated for ORIF. These effects, however, may negate each other as renal disease patients with more severe fractures would be expected to have relatively poorer outcomes and those with enhanced bone quality would be expected to have improved outcomes. It should also be noted that selection bias may also exist for patients with multiple injuries being more likely to be indicated for ORIF for their PHF to enhance their overall mobility/rehabilitation. Our study was also unable to isolate data regarding the time of surgery, which has previously been shown to affect outcomes. Given the nature of the data available in this database, we do not have information on postoperative function or patient satisfaction. In addition, our analysis only considered 2 levels of renal dysfunction, predialysis CRD and ESRD. With a slightly older data set time, there is a potential surgical indication pattern to have changed over time (including the increased use of rTSA); however, ORIF continues to be the most common surgical treatment for PHF by a wide margin. Taken together, the strengths of the present study outweigh its limitations. The data presented allow orthopedic surgeons to consider both the presence and severity of renal disease when weighing the potential risks and benefits of performing PHF ORIF in patients with renal dysfunction.

Conclusion

This study demonstrates that patients with varying levels of renal disease, namely, CRD and ESRD, are at an elevated risk of developing adverse outcomes after PHF ORIF. This should help inform surgical decision-making, including the consideration of renal disease as a relative contraindication to performing PHF ORIF as well as nonoperative management in this high-risk patient population.

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.
  46 in total

1.  Rate of venous thromboembolism after surgical treatment of proximal humerus fractures.

Authors:  Jessica H Heyer; Rachel L Parker; Thomas Lynch; Torrey Parry; Andrew S Neviaser
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2.  Functional outcome after minimally displaced fractures of the proximal part of the humerus.

Authors:  K J Koval; M A Gallagher; J G Marsicano; F Cuomo; A McShinawy; J D Zuckerman
Journal:  J Bone Joint Surg Am       Date:  1997-02       Impact factor: 5.284

3.  Incidence and risk factors for hip or other bone fractures among hemodialysis patients in the Dialysis Outcomes and Practice Patterns Study.

Authors:  M Jadoul; J M Albert; T Akiba; T Akizawa; L Arab; J L Bragg-Gresham; N Mason; K-G Prutz; E W Young; R L Pisoni
Journal:  Kidney Int       Date:  2006-08-23       Impact factor: 10.612

4.  Trends in Surgical Management and Costs for Operative Treatment of Proximal Humerus Fractures in the Elderly.

Authors:  Eddie K Hasty; Edward W Jernigan; Adrianne Soo; Dax T Varkey; Ganesh V Kamath
Journal:  Orthopedics       Date:  2017-04-18       Impact factor: 1.390

5.  Open reduction and internal fixation of proximal humeral fractures with use of the locking proximal humerus plate. Results of a prospective, multicenter, observational study.

Authors:  N Südkamp; J Bayer; P Hepp; C Voigt; H Oestern; M Kääb; C Luo; M Plecko; K Wendt; W Köstler; G Konrad
Journal:  J Bone Joint Surg Am       Date:  2009-06       Impact factor: 5.284

6.  Impact of Increasing Comorbidity Burden on Resource Utilization in Patients With Proximal Humerus Fractures.

Authors:  Daniel A London; Paul J Cagle; Bradford O Parsons; Leesa M Galatz; Shawn G Anthony; Nicole Zubizarreta; Madhu Mazumdar; Jashvant Poeran
Journal:  J Am Acad Orthop Surg       Date:  2020-11-01       Impact factor: 3.020

7.  Locking plate fixation of fractures of the proximal humerus: analysis of complications, revision strategies and outcome.

Authors:  Bernhard Jost; Christian Spross; Holger Grehn; Christian Gerber
Journal:  J Shoulder Elbow Surg       Date:  2012-09-06       Impact factor: 3.019

8.  Mortality and complications after hip fracture among elderly patients undergoing hemodialysis.

Authors:  Jeff Chien-Fu Lin; Wen-Miin Liang
Journal:  BMC Nephrol       Date:  2015-07-07       Impact factor: 2.388

9.  Predictors of Mortality in Elder Patients With Proximal Humeral Fracture.

Authors:  Chad M Myeroff; Jeffrey P Anderson; Daniel S Sveom; Julie A Switzer
Journal:  Geriatr Orthop Surg Rehabil       Date:  2017-08-31

10.  Results of open reduction and internal fixation of severe fractures of the proximal humerus in elderly patients.

Authors:  Alberto Naoki Miyazaki; Marcelo Fregoneze; Pedro Doneux Santos; Luciana Andrade da Silva; Guilherme do Val Sella; João Manoel Fonseca Filho; Marco Tonding Ferreira; Paulo Roberto Davanso Filho; Sergio Luiz Checchia
Journal:  Rev Bras Ortop       Date:  2014-01-28
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