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. 2017 Apr 19;1(1):19–24. doi: 10.1016/j.jses.2017.03.006

Increased risk of 30-day postoperative complications for diabetic patients following open reduction-internal fixation of proximal humerus fractures: an analysis of 1391 patients from the American College of Surgeons National Surgical Quality Improvement Program database

Diana C Patterson 1,*, John I Shin 1, Steven M Andelman 1, Victor Olujimi 1, Bradford O Parsons 1
PMCID: PMC6340826  PMID: 30675534

Abstract

Background

Prior database studies have shown that complication rates following surgical treatment of proximal humerus fractures are low. However, diabetes has been shown across orthopedics to have significantly increased risks of postoperative complications. The purpose of our study was to identify complications for which diabetic patients are at increased risk following operative treatment of proximal humerus fractures.

Methods

The National Surgical Quality Improvement Program database from 2005 to 2014 identified patients >18 years undergoing open reduction-internal fixation for proximal humerus fractures. Patients with incomplete perioperative data were excluded. Patients with non–insulin-dependent diabetes mellitus (NIDDM) and insulin-dependent diabetes mellitus (IDDM) were compared with nondiabetic patients using multivariate logistic regression analysis. Odds ratio (OR) was calculated with a 95% confidence interval, and the significance level was held at P < .05.

Results

There were 1391 patients identified; 1147 (82%) were not diabetic, 91 (7%) had IDDM, and 153 (11%) had NIDDM. Of these, 39.68% (550) were obese (body mass index >30.0). Hypertension, dyspnea, and chronic obstructive pulmonary disease were the most frequent concurrent patient factors in diabetic patients. Postoperatively, patients with diabetes had a statistically significant higher risk of pneumonia (OR, 217.80; P = .002) and length of stay >4 days (OR, 2.05; P = .010). Among diabetics, non–insulin-dependent diabetics had a greater risk of sepsis (OR, 25.84; P = .022) and pneumonia (OR, 12.19; P = .013) than insulin-dependent diabetics.

Conclusion

Both NIDDM and IDDM were associated with a number of adverse postoperative events. Importantly, NIDDM was found to be an independent risk factor for postoperative sepsis and pneumonia, whereas IDDM was identified as an independent risk factor for pneumonia and prolonged length of stay (≥4 days).

Keywords: Proximal humerus fractures, Diabetes, Postoperative complications, NSQIP, Open reduction-internal fixation, Insulin-dependent diabetes


The incidence of proximal humerus fracture has significantly increased in both the United States and Europe during the last 40 years, and it is now the third most common fracture overall referred to orthopedic surgeons.26, 39, 41 Proximal humerus fractures make up at least 10% of all fractures in patients older than 65 years,2 and recent epidemiologic studies show that their occurrence is most significantly increasing in women aged >80 years.10, 24 Risk factors for proximal humerus fractures include advanced age, female gender, history of fractures, low bone mass, loss of height in the preceding 20 years, history of falls, poor vision, certain medical comorbidities (such as insulin-dependent diabetes), and low physical activity.9, 10, 30, 46

Treatment options include nonoperative treatment, open reduction-internal fixation (ORIF), hemiarthroplasty, and total joint arthroplasty, and it has been shown that operative treatments may be associated with significantly increased short-term medical risks as well as with long-term mortality.33, 35 Hence, it is critical to thoroughly assess patient-related variables before initiating operative treatment to prevent or to minimize surgical complications. Decision-making principles include the type of fracture, the degree of displacement and stability of the fragments,34 and the patient's comorbid conditions. Minimally displaced fractures may be treated nonoperatively, but the options for more complex patterns remain controversial.4, 14 Young patients have had good outcomes after surgical intervention, but elderly individuals have shown varying results and higher complication rates.41 There is evidence both for and against surgical treatment of 3- and 4-part fractures in the elderly.16, 36, 42

Regarding the patient's pre-existing medical conditions, prior national database studies in multiple orthopedic operations have elucidated comorbid conditions that are independent risk factors for postoperative complications and poorer surgical outcomes. Identified factors included obesity, need for perioperative blood transfusion, timing of surgery, and diabetes mellitus, the awareness of which has been increasing recently because of its prevalence of 9.3% in the United States.29, 33, 48, 49 To our knowledge, however, only a few studies have assessed the association between diabetes and surgical outcomes of ORIF of proximal humerus fractures, and no study has stratified diabetes status into insulin dependent and non–insulin dependent. In this study, we sought to assess the impact of diabetes, stratified by insulin dependency, on the 30-day postoperative outcomes in patients with proximal humerus fracture undergoing ORIF using a large national database.

Methods

The study conforms to the Reporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement.3

Data source

The American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database was used for this study. The database prospectively collects approximately 150 patient variables from patient interviews, medical records, and operative reports to obtain comorbid conditions and 30-day postoperative mortality and morbidity outcomes. The NSQIP initiative began in 1994 as a quality improvement effort within the Veterans Administration health system,15 and its successful implementation subsequently led to a parallel program for hospitals in the private sector in 1998.15 For 2014, the most recent database year included in the study, the NSQIP database contained >750,000 cases from approximately 500 hospitals.37 The database quality is ensured by on-site surgical clinical reviewers and the NSQIP's internal auditing process, which maintains accuracy of data collection and controls inter-rater reliability.37

Study population

The NSQIP databases from 2005 to 2014 were queried. Inclusion criteria were postoperative diagnosis of proximal humerus fractures (identified with International Classification of Diseases, Ninth Revision, Clinical Modification codes 812.0, 812.00, 812.01, 812.02, 812.03, and 812.09) and the receipt of surgical treatment with ORIF for proximal humerus fractures (identified with Current Procedural Terminology codes 23615, 23630, 23660, 23670, and 23680). To study typical adult surgical candidates, we excluded patients ≤18 years of age, underweight patients (body mass index [BMI] < 18.5 kg/m2), patients who received a concomitant shoulder operation, those with non–clean wound class or preoperative sepsis, and emergency cases.

Patients meeting the inclusion and the exclusion criteria were divided into 3 cohorts: patients with non–insulin-dependent diabetes mellitus (NIDDM), patients with insulin-dependent diabetes mellitus (IDDM), and nondiabetics. NIDDM was defined as a diagnosis of diabetes mellitus (DM) requiring management with noninsulin antidiabetic agents and excluded diet-controlled DM. IDDM was defined as DM requiring daily insulin therapy. Patients treated with both noninsulin and insulin agents were classified as IDDM. Of note, the NSQIP database tracks DM cases with insulin resistance only.37

Patient factors and outcome variables

Patient variables assessed in the study were age, sex, race, BMI, and preoperative functional status (partially or totally dependent functional status  requires partial or total assistance for activities of daily living; independent  functional status does not require assistance for any activity of daily living). Comorbid conditions investigated included history of congestive heart failure, current hypertension requiring medication, chronic obstructive pulmonary disease (COPD), and bleeding disorder. Other patient-related factors assessed were current dialysis, corticosteroid use for chronic conditions, smoking status, dyspnea (difficult, painful, or labored breathing), and unintentional weight loss (unintentional weight loss of >10% of weight during the past 6 months). Perioperative variables assessed were American Society of Anesthesiologists (ASA) score (divided into ASA scores of 1-2 and 3-5), mean operation duration, and mean anesthesia duration.

Postoperative complications investigated were mortality, myocardial infarction, unplanned reintubation, pneumonia, progressive renal insufficiency, sepsis/septic shock, intraoperative/postoperative transfusion, deep venous thrombosis, pulmonary embolism, wound infection (superficial surgical site infection [SSI], deep incisional SSI, organ/space SSI), and urinary tract infection. Other outcomes variables assessed were prolonged length of stay (postoperative hospital stay ≥4 days), unplanned return to the operating room, and unplanned readmission, which was added to the NSQIP from year 2011. All postoperative complication variables, including unplanned readmission, are collected within 30 days of operation.

Data analysis

The SAS software (version 9.3; SAS Institute, Cary, NC, USA) was used for all statistical analyses. For continuous and categorical variables, Student t-test and χ2 test were used, respectively, to assess for statistically significant differences in frequencies or means. Bivariate analyses were performed to assess associations between DM status (NIDDM or IDDM) and patient demographic factors, comorbid conditions, and postoperative complications. Multivariate analyses were performed to assess whether DM status (NIDDM or IDDM) was an independent risk factor for adverse postoperative outcomes tracked in the NSQIP database. To control for possible confounding variables, we have included in our multivariate analyses preoperative patient variables (demographics, comorbid conditions) that were found to be associated with NIDDM or IDDM with P value < .2 in the bivariate analyses. Statistical significance was maintained at P value of .05.

Results

There were 1391 patients who underwent surgical treatment of a proximal humerus fracture from 2005 to 2014 identified (M:F, 391:1000); 1147 (82%) did not have diabetes, 91 (7%) had IDDM, and 153 (11%) had NIDDM. Of these, 60.46% (841) were nonobese (BMI <29.9), 18.55% (256) were obese (BMI 30.0-34.9), 11.57% (161) were severely obese (BMI 35.0-39.9), and 9.56% (133) were morbidly obese (BMI >40). Those with either IDDM or NIDDM were associated with higher obesity class compared with those without DM (Table I). Diabetic patients had higher rates of multiple comorbid conditions. Patients with IDDM had significantly increased rates of hypertension, dyspnea, and COPD and higher ASA score, whereas patients with NIDDM had significantly increased rates of hypertension and higher ASA score. The duration of operation and anesthesia did not differ significantly among diabetic and nondiabetic patients (Table II). Postoperatively, patients with IDDM had significantly higher rates of mortality, sepsis, myocardial infarction, pneumonia, renal insufficiency, blood transfusion, and prolonged length of stay compared with nondiabetic patients. Those with NIDDM had significantly higher rates of postoperative sepsis, pneumonia, and prolonged length of stay (Table III).

Table I.

Demographic information of patients identified in the NSQIP as having undergone ORIF for a proximal humerus fracture between 2005 and 2014

Demographic variables Non-DM IDDM NIDDM Comparisons
Non-DM vs. IDDM P value Non-DM vs. NIDDM P value
N 1147 91 153
Age group (%) .006 <.001
 18-39 8.9 2.2 0.0
 40-64 44.9 41.8 40.5
 65-74 24.1 38.5 34.0
 ≥75 22.1 17.6 25.5
Sex (%) .615 .201
 Female 72.3 74.7 67.3
 Male 27.7 25.3 32.7
Race (%) .294 .217
 White 77.8 78.0 79.7
 Black 2.4 5.5 5.2
 Hispanic 5.4 6.6 6.5
 Asians 1.7 1.1 0.7
 Other 0.3 1.1 0.0
 Unknown 12.6 7.7 7.8
Body mass index (%) <.001 <.001
 Nonobese (18.5-29.9 kg/m2) 66.0 34.1 34.0
 Obese I (30.0-34.9 kg/m2) 17.0 29.7 23.5
 Obese II (35.0-39.9 kg/m2) 10.1 14.3 20.9
 Obese III (≥40 kg/m2) 6.9 22.0 21.6
Functional status before surgery (%) .015 .123
 Independent in ADLs 93.6 86.8 90.2
 Partially or totally dependent in ADLs 6.5 13.2 9.8

NSQIP, National Surgical Quality Improvement Program; ORIF, open reduction and internal fixation; DM, diabetes mellitus; IDDM, insulin-dependent diabetes mellitus; NIDDM, non–insulin-dependent diabetes mellitus; ADLs, activities of daily living.

Boldface values indicate statistically significant associations.

Table II.

Prevalence and comparison of comorbidities and perioperative variables in insulin-dependent diabetic, non–insulin-dependent diabetic, and nondiabetic patients undergoing ORIF for proximal humerus fractures

Comorbidity and related patient conditions (%) Non-DM IDDM NIDDM Comparisons
Non-DM vs. IDDM P value Non-DM vs. NIDDM P value
 Congestive heart failure 0.9 3.3 0.7 .029 .782
 Hypertension 42.2 87.9 81.7 <.001 <.001
 Current smoker 20.3 15.4 16.3 .257 .247
 Dyspnea 4.3 15.4 7.2 <.001 .106
 COPD 4.6 12.1 5.9 .002 .492
 Currently on dialysis 0.4 0.0 0.7 .573 .567
 Weight loss, unintentional 0.4 1.1 0.0 .381 .413
 Bleeding disorder 4.7 8.8 6.5 .086 .326
 Chronic corticosteroid use 3.5 4.4 2.6 .652 .575
Perioperative variables
 ASA classification (%) <.001 <.001
  1-2 61.0 14.3 24.8
  3-5 39.0 85.7 75.2
Operation duration, min (mean) 108.8 114.4 106.4 .361 .663
Anesthesia duration, min (mean) 170.9 197.0 159.2 .079 .304

ORIF, open  reduction and internal fixation; DM, diabetes mellitus; IDDM, insulin-dependent diabetes mellitus; NIDDM, non–insulin-dependent diabetes mellitus; COPD, chronic obstructive pulmonary disease; ASA, American Society of Anesthesiologists.

Boldface values indicate statistically significant associations.

Table III.

Postoperative complications in patients undergoing ORIF for proximal humerus fracture by diabetes status

Postoperative outcomes (%) Non-DM IDDM NIDDM Comparisons
Non-DM vs. IDDM P value Non-DM vs. NIDDM P value
Any complications 9.5 16.5 11.1 .033 .528
Mortality 0.4 2.2 0.7 .015 .567
Sepsis/septic shock 0.1 1.1 2.0 .021 <.001
Myocardial infarction 0.1 1.1 0.0 .021 .715
Unplanned reintubation 0.3 1.1 1.3 .176 .050
Pneumonia 0.2 4.4 2.0 <.001 .001
Progressive renal insufficiency 0.0 1.1 0.0 <.001
Wound-related infection 0.6 0.0 0.0 .455 .333
Urinary tract infection 0.7 0.0 0.7 .424 .951
Deep venous thrombosis 0.5 0.0 0.0 .489 .370
Pulmonary embolism 0.5 0.0 0.0 .489 .370
Transfusion 5.8 11.0 7.2 .050 .510
Outcomes variables
 Extended length of stay (≥4 d) 16.2 35.2 25.5 <.001 .004
 Return to the operating room 1.7 1.1 0.0 .685 .109
 Readmission 2.6 3.3 3.3 .698 .640

ORIF, open  reduction and internal fixation; DM, diabetes mellitus; IDDM, insulin-dependent diabetes mellitus; NIDDM, non–insulin-dependent diabetes mellitus.

Boldface values indicate statistically significant associations.

In the multivariate analysis assessing IDDM as an independent predictor for postoperative complications, we controlled for age, BMI, functional status, hypertension, dyspnea, COPD, and ASA score, which are patient factors found to be associated with IDDM with P < .2 in our bivariate analyses (Table I, Table II). IDDM was found to be a significant independent predictor for pneumonia (odds ratio [OR], 217.80; confidence interval [CI], 7.60-999.99) and prolonged length of stay (OR, 2.05; CI, 1.19-3.54). Similarly, in the multivariate analysis assessing NIDDM as an independent predictor for postoperative complications, we included age, BMI, hypertension, and ASA score to control for potential confounding factors. NIDDM was found to be a significant independent predictor for sepsis (OR, 25.84; CI, 1.61-414.96) and pneumonia (OR, 12.19; CI, 1.69-87.91) (Table IV).

Table IV.

Adjusted odds ratios for selected outcomes for the influence of diabetic status

IDDM vs. non-DM OR Lower 95% CI Upper 95% CI P value
Any complications 1.28 0.66 2.48 .461
Mortality 6.40 0.67 61.46 .108
Pneumonia* 217.80 7.60 >999.99 .002
Transfusion 1.42 0.65 3.13 .382
Prolonged length of stay (≥4 d)* 2.05 1.19 3.54 .010
NIDDM vs. non-DM OR Lower 95% CI Upper 95% CI P value
Sepsis* 25.84 1.61 414.96 .022
Pneumonia* 12.19 1.69 87.91 .013
Extended length of stay (≥4 d) 1.27 0.81 1.98 .295

DM, diabetes mellitus; IDDM, insulin-dependent diabetes mellitus; NIDDM, non–insulin-dependent diabetes mellitus; OR, odds ratio; CI, confidence interval.

In the multivariate analysis assessing IDDM as an independent predictor for postoperative complications, we controlled for age, body mass index, functional status, hypertension, dyspnea, chronic obstructive pulmonary disease, and American Society of Anesthesiologists score. In the multivariate analysis assessing NIDDM as an independent predictor for postoperative complications, we controlled for age, body mass index, hypertension, and American Society of Anesthesiologists score.

*

Postoperative variables for which diabetes is a significant independent predictor.

Discussion

The goal of our study was to use a large sample of patients from a national database to investigate the complications for which underlying diabetes provides significantly increased risk after operative treatment of proximal humerus fractures. Surgical treatment of proximal humerus fractures can have significant short-term medical risks as well as long-term mortality increases.33, 35, 37 Obesity, need for perioperative blood transfusion, and timing of surgery have all been shown to portend an increased risk of inpatient adverse events.29, 33, 49 The increased risks of patients with DM, known to carry a higher risk of complications across many surgical fields, were less well studied. As the prevalence of people—and therefore patients—with diabetes continues to increase, knowledge of the specific complications for which these patients may be at increased risk is important to appropriate decision-making and counseling of patients.13, 36

Our study confirmed that patients with diabetes have a higher risk of complications than with other comorbidities. Diabetic patients who underwent operative treatment of proximal humerus fractures were at increased risk of mortality, development of pneumonia, need for blood transfusion, and length of stay >4 days; the most statistically significant of these results was the development of pneumonia. Stratifying by insulin dependence, non–insulin-dependent diabetics had a higher risk of postoperative sepsis, development of pneumonia, and prolonged length of stay than insulin-dependent diabetics did.

Patients with IDDM have previously been shown to be at increased risk for the development of proximal humerus fractures.25, 30, 38, 46 Risk factors for proximal humerus fractures include a history of fractures, low bone mass, loss of height in the preceding 20 years, history of falls, poor vision, certain medical comorbidities, and low physical activity.9, 25, 30 Low BMI has been associated with increased fracture risk in some studies, but others have not shown similar correlation.9, 25, 30 Diabetics are thought to be at greater risk of these fractures because of poorer performance than their nondiabetic counterparts on measures of balance and gait, peripheral neuropathy, and vision.46 In fact, women with diabetes have a greater risk of proximal humerus fracture despite having a higher bone mineral density than women without diabetes.46 These trends are consistent with our study population, with a greater percentage of patients in all diabetic categories being female, including 68 of 91 patients with IDDM and 103 of 153 patients with NIDDM.

Obesity is frequently cited as a risk factor both for occurrence of fractures and for poor outcomes after fracture. Prieto-Alhambra et al showed that obesity was actually protective against hip and pelvis fractures but associated with a 30% increase in risk for proximal humerus fractures compared with normal weight and underweight women40 In our study, 18.5% of patients were obese, 11.57% were severely obese to morbidly obese (BMI 35.0-39.9), and 9.56% were morbidly obese (BMI >40), which is near 40% of the total number of patients. Obesity is associated with increased rates of DM.17, 19, 22 In our study, 66% of nondiabetic patients were also nonobese, whereas only 34% of non–insulin-dependent and insulin-dependent diabetics were nonobese. Postoperatively, Werner et al showed that obese patients undergoing ORIF, hemiarthroplasty, or arthroplasty of the proximal humerus had an increase in 90-day local and systemic complications; in particular, ORIF and hemiarthroplasty had higher rates of postoperative venous thromboembolism and infection, but there was only an increased risk of infection after arthroplasty.

In other literature regarding proximal humerus fractures, need for perioperative blood transfusion was independently associated with occurrence of inpatient adverse events, need for prolonged hospitalization, and nonroutine discharge.29 In a similar study, delaying surgery for >3 days after admission was independently associated with occurrence of inpatient adverse events and nonroutine discharge, but it was not associated with increased mortality.33 However, neither of these studies addressed diabetes.

There is little or no literature about the association of diabetes and its complications with proximal humerus operative fixation. In one large database study, diabetes was shown to confer a small or moderate increased risk of adverse events after surgery and was a strong predictor of discharge to a long-term care facility, but it was not found to be a significant predictor of postoperative death.35, 37 In the spine surgery literature, diabetes has been shown to be the most common comorbidity and to be one of the most significant risk factors for mortality or immediate postoperative complications.44, 45 In hand surgery, diabetic patients have been shown to have significantly increased complication rates after distal radius fracture volar plating, and similar results were shown in treatments of ankle fractures.6, 28

A study by Harris et al assessing the impact of diabetes in patients undergoing total hip or knee arthroplasty is worth mentioning.18 Although the current study stratifies diabetes status on the basis of insulin dependence because of the structure of the database, Harris et al used hemoglobin A1c level to quantitatively stratify diabetic patients, thus providing more granular details. The study revealed that the risk of postoperative complication increased linearly through the threshold value of 7%. It is unclear whether the results found in the total joint arthroplasty study may be extrapolated to the patients of interest in the current study, given that the majority of total joint arthroplasty cases are elective, whereas operations for proximal humerus fractures are not. Regardless, the results from the study suggest that the quantitative value of serum hemoglobin A1c may be a useful tool in further stratifying risks in diabetic patients receiving ORIF for proximal humerus fracture and that the topic should be investigated further.18

Several studies have also shown that NIDDM is associated with an increased risk for development of sepsis and that patients with type 2 diabetes are at nearly twice the risk for mortality due to infections as nondiabetic patients are.47 A study from Brazil has shown a 6 times increased risk of infection-related mortality in those with NIDDM compared with the general population.5 During a 4-year period in Spain, there was an increased incidence of any-stage sepsis in patients with NIDDM, greater than in the general population, and a significant association of higher increased mortality when septic shock was present.11 In addition, type 2 diabetic patients with sepsis admitted to an intensive care unit for the first time had a higher risk for development of acute kidney injury and were more likely to be undergoing hemodialysis but had a lower risk of acute respiratory, hematologic, and hepatic dysfunction.8

However, the underlying pathologic process for this increased rate of sepsis among diabetic patients is not fully established and is likely to be multifactorial. Short- and long-term hyperglycemia has been shown to disturb neutrophil bactericidal function, cellular immunity, and complement activation and to impair chemotaxis.12, 21, 31, 32 Microvascular and macrovascular insufficiency has also been implicated.23 Cells from patients with type 2 diabetes have shown attenuated cytokine response to lipopolysaccharide (LPS) stimulation compared with cells from nondiabetics.7, 20 In an experimental study, Andreasen et al showed that patients with NIDDM injected with LPS exhibited an attenuated increase in plasma levels of tumor necrosis factor and interleukin 1 receptor antagonist as well as an attenuated upregulation of vascular cell adhesion molecule 1 and intercellular adhesion molecule 1 to LPS in vivo.1 It is theorized that these findings may provide a mechanistic explanation for the increased risk of and adverse outcomes during infectious processes in type 2 diabetic patients.

There were several limitations to our study. First, we were limited to the variables reported to the NSQIP by participating medical centers. As a result, there was no avenue to determine whether cases were revision procedures, to obtain detailed patient medical or surgical history, or to determine if data were missing overall. In addition, the observation period for perioperative morbidity is restricted to the first 30 days after surgery, which could lead to misreporting of complications or mortality. These issues become more important as there is no means to confirm the accuracy of reporting to the NSQIP, and errors in coding may exist for certain complications.27, 43, 45 Although the NSQIP has been validated to contain more accurate data regarding complications than administrative data, concordance between the NSQIP and a protective institutional registry has still been shown to be only moderately good.27

Furthermore, potential limitations include that academic medical centers are over-represented in the civilian NSQIP.43, 45 As academic medical centers become the sites of choice for patients with severe preoperative comorbidities who are more likely to experience medical complications after, this could lead to complication rates becoming over-reported in the NSQIP database.

Conclusion

ORIF of proximal humerus fractures is a commonly performed orthopedic surgery. In the nondiabetic population, it has a low postoperative complication rate. In contrast, diabetic patients, particularly non–insulin-dependent diabetics, have a significantly higher rate of serious complications. Patients and families should be counseled preoperatively and observed closely after surgery to avoid missing the development of a life-threatening condition.

Disclaimer

The authors, their immediate families, and any research foundations 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

This study was exempt from Institutional Review Board approval as it uses a deidentified publicly available data set.

References

  • 1.Andreasen A.S., Pedersen-Skovsgaard T., Berg R.M., Svendsen K.D., Feldt-Rasmussen B., Pedersen B.K. Type 2 diabetes mellitus is associated with impaired cytokine response and adhesion molecule expression in human endotoxemia. Intensive Care Med. 2010;36:1548–1555. doi: 10.1007/s00134-010-1845-1. [DOI] [PubMed] [Google Scholar]
  • 2.Baron J.A., Karagas M., Barrett J., Kniffin W., Malenka D., Mayor M. Basic epidemiology of fractures of the upper and lower limb among Americans over 65 years of age. Epidemiology. 1996;7:612–618. doi: 10.1097/00001648-199611000-00008. [DOI] [PubMed] [Google Scholar]
  • 3.Benchimol E.I., Smeeth L., Guttmann A., Harron K., Moher D., Petersen I. The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement. PLoS Med. 2015;12:e1001885. doi: 10.1371/journal.pmed.1001885. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Burkhart K.J., Dietz S.O., Bastian L., Thelen U., Hoffmann R., Müller L.P. The treatment of proximal humeral fracture in adults. Dtsch Arztebl Int. 2013;110:591–597. doi: 10.3238/arztebl.2013.0591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Cardoso C.R., Salles G.F. Macro and microvascular complications are determinants of increased infection-related mortality in Brazilian type 2 diabetes mellitus patients. Diabetes Res Clin Pract. 2007;75:51–58. doi: 10.1016/j.diabres.2006.04.008. [DOI] [PubMed] [Google Scholar]
  • 6.Cavo M.J., Fox J.P., Markert R., Laughlin R.T. Association between diabetes, obesity, and short-term outcomes among patients surgically treated for ankle fracture. J Bone Joint Surg Am. 2015;97:987–994. doi: 10.2106/JBJS.N.00789. [DOI] [PubMed] [Google Scholar]
  • 7.Chacón M.R., Vendrell J., Miranda M., Ceperuelo-Mallafré V., Megía A., Gutiérrez C. Different TNF-alpha expression elicited by glucose in monocytes from type 2 diabetes mellitus patients. Atherosclerosis. 2007;194:e18–25. doi: 10.1016/j.atherosclerosis.2006.12.011. [DOI] [PubMed] [Google Scholar]
  • 8.Chang C.W., Kok V.C., Tseng T.C., Horng J.T., Liu C.E. Diabetic patients with severe sepsis admitted to intensive care unit do not fare worse than non-diabetic patients: a nationwide population-based cohort study. PLoS One. 2012;7:e50729. doi: 10.1371/journal.pone.0050729. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Chu S.P., Kelsey J.L., Keegan T.H., Sternfeld B., Prill M., Quesenberry C.P. Risk factors for proximal humerus fracture. Am J Epidemiol. 2004;160:360–367. doi: 10.1093/aje/kwh224. [DOI] [PubMed] [Google Scholar]
  • 10.Clement N.D., Duckworth A.D., McQueen M.M., Court-Brown C.M. The outcome of proximal humeral fractures in the elderly: predictors of mortality and function. Bone Joint J. 2014;96-B:970–977. doi: 10.1302/0301-620X.96B7.32894. [DOI] [PubMed] [Google Scholar]
  • 11.De Miguel-Yanes J.M., Méndez-Bailón M., Jiménez-Garcia R., Hernández-Barrera V., Pérez-Farinós N., López-de-Andrés A. Trends in sepsis incidence and outcomes among people with or without type 2 diabetes mellitus in Spain (2008-2012) Diabetes Res Clin Pract. 2015;110:266–275. doi: 10.1016/j.diabres.2015.10.008. [DOI] [PubMed] [Google Scholar]
  • 12.Delamaire M., Maugendre D., Moreno M., Le Gof M.C., Allannic H., Genetet B. Impaired leucocyte functions in diabetic patients. Diabet Med. 1997;14:29–34. doi: 10.1002/(SICI)1096-9136(199701)14:1<29::AID-DIA300>3.0.CO;2-V. [DOI] [PubMed] [Google Scholar]
  • 13.Dimick J.B., Welch H.G., Birkmeyer J.D. Surgical mortality as an indicator of hospital quality: the problem with small sample size. JAMA. 2004;292:847–851. doi: 10.1001/jama.292.7.847. [DOI] [PubMed] [Google Scholar]
  • 14.Fakler J.K., Hogan C., Heyde C.E., John T. Current concepts in the treatment of proximal humeral fractures. Orthopedics. 2008;31:42–51. doi: 10.3928/01477447-20080101-13. [DOI] [PubMed] [Google Scholar]
  • 15.Fink A.S., Campbell D.A., Jr, Mentzer R.M., Jr, Henderson W.G., Daley J., Bannister J. The National Surgical Quality Improvement Program in non-Veterans Administration hospitals: initial demonstration of feasibility. Ann Surg. 2002;236:344–353. doi: 10.1097/01.SLA.0000027082.79556.55. discussion 353-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Fjalestad T., Hole M.Ø., Hovden I.A., Blücher J., Strømsøe K. Surgical treatment with an angular stable plate for complex displaced proximal humeral fractures in elderly patients: a randomized controlled trial. J Orthop Trauma. 2012;26:98–106. doi: 10.1097/BOT.0b013e31821c2e15. [DOI] [PubMed] [Google Scholar]
  • 17.Guh D.P., Zhang W., Bansback N., Amarsi Z., Birmingham C.L., Anis A.H. The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis. BMC Public Health. 2009;9:88. doi: 10.1186/1471-2458-9-88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Harris A.H., Bowe T.R., Gupta S., Ellerbe L.S., Giori N.J. Hemoglobin A1C as a marker for surgical risk in diabetes patients undergoing total joint arthroplasty. J Arthroplasty. 2013;28(Suppl):25–29. doi: 10.1016/j.arth.2013.03.033. [DOI] [PubMed] [Google Scholar]
  • 19.Haslam D.W., James W.P. Obesity. Lancet. 2005;366:1197–1209. doi: 10.1016/S0140-6736(05)67483-1. [DOI] [PubMed] [Google Scholar]
  • 20.Hatanaka E., Monteagudo P.T., Marrocos M.S., Campa A. Neutrophils and monocytes as potentially important sources of proinflammatory cytokines in diabetes. Clin Exp Immunol. 2006;146:443–447. doi: 10.1111/j.1365-2249.2006.03229.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Hostetter M.K. Handicaps to host defense. Effects of hyperglycemia on C3 and Candida albicans. Diabetes. 1990;39:271–275. doi: 10.2337/diab.39.3.271. [DOI] [PubMed] [Google Scholar]
  • 22.Janssen I., Katzmarzyk P.T., Ross R. Body mass index, waist circumference, and health risk: evidence in support of current National Institutes of Health guidelines. Arch Intern Med. 2002;162:2074–2079. doi: 10.1001/archinte.162.18.2074. [DOI] [PubMed] [Google Scholar]
  • 23.Joshi N., Caputo G.M., Weitekamp M.R., Karchmer A.W. Infections in patients with diabetes mellitus. N Engl J Med. 1999;341:1906–1912. doi: 10.1056/NEJM199912163412507. [DOI] [PubMed] [Google Scholar]
  • 24.Kannus P., Palvanen M., Niemi S., Parkkari J., Järvinen M., Vuori I. Osteoporotic fractures of the proximal humerus in elderly Finnish persons: sharp increase in 1970-1998 and alarming projections for the new millennium. Acta Orthop Scand. 2000;71:465–470. doi: 10.1080/000164700317381144. [DOI] [PubMed] [Google Scholar]
  • 25.Kelsey J.L., Browner W.S., Seeley D.G., Nevitt M.C., Cummings S.R. Risk factors for fractures of the distal forearm and proximal humerus. Am J Epidemiol. 1992;135:477–489. doi: 10.1093/oxfordjournals.aje.a116314. [DOI] [PubMed] [Google Scholar]
  • 26.Kim S.H., Szabo R.M., Marder R.A. Epidemiology of humerus fractures in the United States: nationwide emergency department sample, 2008. Arthritis Care Res (Hoboken) 2012;64:407–414. doi: 10.1002/acr.21563. [DOI] [PubMed] [Google Scholar]
  • 27.Koch C.G., Li L., Hixson E., Tang A., Phillips S., Henderson J.M. What are the real rates of post-operative complications: elucidating inconsistencies between administrative and clinical data sources. J Am Coll Surg. 2012;214:798–805. doi: 10.1016/j.jamcollsurg.2011.12.037. [DOI] [PubMed] [Google Scholar]
  • 28.Koehler D.M., Gao Y., Guan J.J., Lawler E.A., Adams B.D., Shah A.S. Postsurgical complications following distal radius volar plating in a diabetic population at short-term follow-up. Hand (N Y) 2015;10:670–677. doi: 10.1007/s11552-015-9777-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kozanek M., Menendez M.E., Ring D. Association of perioperative blood transfusion and adverse events after operative treatment of proximal humerus fractures. Injury. 2015;46:270–274. doi: 10.1016/j.injury.2014.11.032. [DOI] [PubMed] [Google Scholar]
  • 30.Lee S.H., Dargent-Molina P., Bréart G., EPIDOS Group. Epidemiologie de l'Osteoporose Study. Risk factors for fractures of the proximal humerus: results from the EPIDOS prospective study. J Bone Miner Res. 2002;17:817–825. doi: 10.1359/jbmr.2002.17.5.817. [DOI] [PubMed] [Google Scholar]
  • 31.MacCuish A.C., Urbaniak S.J., Campbell C.J., Duncan L.J., Irvine W.J. Phytohemagglutinin transformation and circulating lymphocyte subpopulations in insulin-dependent diabetic patients. Diabetes. 1974;23:708–712. doi: 10.2337/diab.23.8.708. [DOI] [PubMed] [Google Scholar]
  • 32.Marhoffer W., Stein M., Maeser E., Federlin K. Impairment of polymorphonuclear leukocyte function and metabolic control of diabetes. Diabetes Care. 1992;15:256–260. doi: 10.2337/diacare.15.2.256. [DOI] [PubMed] [Google Scholar]
  • 33.Menendez M.E., Ring D. Does the timing of surgery for proximal humeral fracture affect inpatient outcomes? J Shoulder Elbow Surg. 2014;23:1257–1262. doi: 10.1016/j.jse.2014.03.010. [DOI] [PubMed] [Google Scholar]
  • 34.Neer C.S., 2nd. Displaced proximal humeral fractures. I. Classification and evaluation. J Bone Joint Surg Am. 1970;52:1077–1089. [PubMed] [Google Scholar]
  • 35.Neuhaus V., Bot A.G., Swellengrebel C.H., Jain N.B., Warner J.J., Ring D.C. Treatment choice affects inpatient adverse events and mortality in older aged inpatients with an isolated fracture of the proximal humerus. J Shoulder Elbow Surg. 2014;23:800–806. doi: 10.1016/j.jse.2013.09.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Neuhaus V., King J., Hageman M.G., Ring D.C. Charlson comorbidity indices and in-hospital deaths in patients with hip fractures. Clin Orthop Relat Res. 2013;471:1712–1719. doi: 10.1007/s11999-012-2705-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Neuhaus V., Swellengrebel C.H., Bossen J.K., Ring D. What are the factors influencing outcome among patients admitted to a hospital with a proximal humeral fracture? Clin Orthop Relat Res. 2013;471:1698–1706. doi: 10.1007/s11999-013-2876-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Nguyen T.V., Center J.R., Sambrook P.N., Eisman J.A. Risk factors for proximal humerus, forearm, and wrist fractures in elderly men and women: the Dubbo Osteoporosis Epidemiology Study. Am J Epidemiol. 2001;153:587–595. doi: 10.1093/aje/153.6.587. [DOI] [PubMed] [Google Scholar]
  • 39.Palvanen M., Kannus P., Niemi S., Parkkari J. Update in the epidemiology of proximal humeral fractures. Clin Orthop Relat Res. 2006;442:87–92. doi: 10.1097/01.blo.0000194672.79634.78. [DOI] [PubMed] [Google Scholar]
  • 40.Prieto-Alhambra D., Premaor M.O., Fina Avilés F., Hermosilla E., Martinez-Laguna D., Carbonell-Abella C. The association between fracture and obesity is site-dependent: a population-based study in postmenopausal women. J Bone Miner Res. 2012;27:294–300. doi: 10.1002/jbmr.1466. [DOI] [PubMed] [Google Scholar]
  • 41.Rabi S., Evaniew N., Sprague S.A., Bhandari M., Slobogean G.P. Operative vs non-operative management of displaced proximal humeral fractures in the elderly: a systematic review and meta-analysis of randomized controlled trials. World J Orthop. 2015;6:838–846. doi: 10.5312/wjo.v6.i10.838. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Rangan A., Handoll H., Brealey S., Jefferson L., Keding A., Martin B.C. Surgical vs nonsurgical treatment of adults with displaced fractures of the proximal humerus: the PROFHER randomized clinical trial. JAMA. 2015;313:1037–1047. doi: 10.1001/jama.2015.1629. [DOI] [PubMed] [Google Scholar]
  • 43.Schilling P.L., Hallstrom B.R., Birkmeyer J.D., Carpenter J.E. Prioritizing perioperative quality improvement in orthopaedic surgery. J Bone Joint Surg Am. 2010;92:1884–1889. doi: 10.2106/JBJS.I.00735. [DOI] [PubMed] [Google Scholar]
  • 44.Schoenfeld A.J., Carey P.A., Cleveland A.W., 3rd, Bader J.O., Bono C.M. Patient factors, comorbidities, and surgical characteristics that increase mortality and complication risk after spinal arthrodesis: a prognostic study based on 5,887 patients. Spine J. 2013;13:1171–1179. doi: 10.1016/j.spinee.2013.02.071. [DOI] [PubMed] [Google Scholar]
  • 45.Schoenfeld A.J., Ochoa L.M., Bader J.O., Belmont P.J., Jr Risk factors for immediate postoperative complications and mortality following spine surgery: a study of 3475 patients from the National Surgical Quality Improvement Program. J Bone Joint Surg Am. 2011;93:1577–1582. doi: 10.2106/JBJS.J.01048. [DOI] [PubMed] [Google Scholar]
  • 46.Schwartz A.V., Sellmeyer D.E., Ensrud K.E., Cauley J.A., Tabor H.K., Schreiner P.J. Older women with diabetes have an increased risk of fracture: a prospective study. J Clin Endocrinol Metab. 2001;86:32–38. doi: 10.1210/jcem.86.1.7139. [DOI] [PubMed] [Google Scholar]
  • 47.Shah B.R., Hux J.E. Quantifying the risk of infectious diseases for people with diabetes. Diabetes Care. 2003;26:510–513. doi: 10.2337/diacare.26.2.510. [DOI] [PubMed] [Google Scholar]
  • 48.Uhl R.L., Rosenbaum A.J., Dipreta J.A., Desemone J., Mulligan M. Diabetes mellitus: musculoskeletal manifestations and perioperative considerations for the orthopaedic surgeon. J Am Acad Orthop Surg. 2014;22:183–192. doi: 10.5435/JAAOS-22-03-183. [DOI] [PubMed] [Google Scholar]
  • 49.Werner B.C., Griffin J.W., Yang S., Brockmeier S.F., Gwathmey F.W. Obesity is associated with increased postoperative complications after operative management of proximal humerus fractures. J Shoulder Elbow Surg. 2015;24:593–600. doi: 10.1016/j.jse.2014.08.028. [DOI] [PubMed] [Google Scholar]

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