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Journal of Clinical Orthopaedics and Trauma logoLink to Journal of Clinical Orthopaedics and Trauma
. 2018 Oct 28;10(5):904–911. doi: 10.1016/j.jcot.2018.10.020

Timing of complications following surgery for geriatric hip fractures

Azeem Tariq Malik 1, Carmen E Quatman 1, Laura S Phieffer 1, Thuan V Ly 1, Safdar N Khan 1,
PMCID: PMC6739463  PMID: 31528066

Abstract

Introduction

Despite abundant literature present on complications following hip fracture surgery, few studies have focused on the timing of these complications.

Materials and methods

The 2015–2016 American College of Surgeons – National Surgical Quality Improvement Program database was queried for patients ≥65 years of age undergoing hip fracture surgery, due to trauma, using CPT-Codes for total hip arthroplasty (27130), Hemiarthroplasty (27125) and Open Reduction/Internal Fixation (ORIF) (27236, 27244, 27245). For each complication being studied, the median time to diagnosis was determined along with the interquartile range (IQR). Cox-regression analyses were used to assess complication timings between various surgeries.

Results

A total of 31,738 were included in the final cohort. The median time of occurrence (days) for myocardial infarction was 2 [IQR 1–6], pneumonia 4 [IQR 2–12], stroke/CVA 3 [IQR 1–10], pulmonary embolism 5 [IQR 2–14], urinary tract infection (UTI) 8 [IQR 2–15], deep venous thrombosis (DVT) 9 [IQR 4–17], sepsis 11 [IQR 5–19], death 12 [IQR 6–20], superficial surgical site infection (SSI) 16 [IQR 12–22], deep SSI 23 [IQR 15–24] and organ/space SSI 19 [IQR 15–23]. Undergoing a THA vs. ORIF for hip fracture was associated a relatively early occurrence of pneumonia (day 3 [IQR 1–5.25]; p = 0.029) and urinary tract infection (day 4 [IQR 1–13]; p = 0.035) and a later occurrence of organ/space SSI (day 23.5 [IQR 19.5–26.75]; p = 0.002).

Conclusion

Orthopaedic trauma surgeons can utilize this data to optimize care strategies during the time-periods of highest risk to prevent complications from occurring early on in the course of post-operative care.

Keywords: Complications, Timing, Hip fracture, Geriatric, NSQIP

1. Introduction

Hip fractures are one of the most common clinical cases encountered by orthopaedic surgeons. With an increase in the life-expectancy of individuals worldwide,1 the expected proportion of patients presenting with a hip fracture secondary to a fall is expected to rise. The worldwide incidence of hip fractures is projected to reach around 21 million cases, with an associated $446 billion in costs associated with management.2, 3, 4 Though surgery for hip fractures impacts lifetime societal cost-savings by a direct improvement in the quality of life,5 the relatively high morbidity4,6 and mortality rates,7, 8, 9, 10, 11 remain important concerns and emphasizes the need for continued improvement in patient care. Though past studies have focused on identification of the rates of complications and the various risk factors associated with each adverse event, few studies have focused on identifying the timing of complications in these patients.

As we move towards the era of bundled-payment models,12 which aim at improving the quality of care while minimizing costs, analyzing the timing of complications may allow providers to accurately identify post-operative time periods that may require more closer surveillance and perhaps, better optimization of care strategies. The current study utilized a large national multi-center surgical database to answer the primary research questions – 1) What is the timing of the common complications that occur after hip fracture surgery in geriatric patients? 2) Does the type of procedure for treatment of hip fracture impact the timing of when complications may occur post-operatively? and 3) Whether occurrence of a complication is significantly associated with sustaining other complications?

2. Materials and methods

2.1. Database

This was a retrospective cohort study performed using the American College of Surgeons (ACS)-National Surgical Quality Improvement Program (NSQIP) database. The ACS-NSQIP collects surgical information from more than 500 hospitals across the United States.13 Data are recorded for more than 150 preoperative, intra-operative and post-operative variables up to 30-days following operations. The data are collated by trained surgical and clinical reviewers with audit reports showing an inter-reviewer disagreement rate below 2%.13

The 2015–2016 ACS-NSQIP databases were queried for patients undergoing hip fracture repair using CPT codes for open reduction/internal fixation (ORIF) (CPT-27236, CPT-27244, CPT-27245), hemiarthroplasty (HA) (CPT-27125) and total hip arthroplasty (THA) (CPT-27130). The data were filtered to remove surgeries being done for malignancies, deformities and degenerative conditions such as osteoarthritis. This was done to ensure that only procedures being performed for fractures were included in the study. Furthermore, only patients ≥65 years of age were included to accurately capture a geriatric-relevant population for our study. Records with missing data were excluded from our study. A total of 31,738 patients were included in the final cohort for analysis.

2.2. Baseline demographics & complications

Patient characteristics that were extracted from the database included age (categorized into 65–79 years, 80–89 years and ≥90 years), gender (male and female), Body Mass Index (BMI), procedure type (THA, HA and ORIF) and co-morbidities as recorded by NSQIP. A total of 11 complications were investigated in this study – Superficial Surgical Site Infection (SSI), Deep SSI, Organ/Space SSI, Pneumonia, Pulmonary Embolism, Deep Venous Thrombosis (DVT), Urinary Tract Infection (UTI), Stroke/CVA, Myocardial Infarction (MI), Sepsis and Death within 30 days of surgery. The median length of post-operative stay was used to characterize complications into early (≤4 days) vs. late (>4 days).

2.3. Statistical analysis

Individual rates of complications were reported using descriptive analysis. In order to assess the timing of complications, the median day of diagnosis along with the interquartile range (IQR) was calculated for each complication. Relative percentages of each complication that occurred prior to discharge were also calculated. Pearson Chi-Square test was used to analyze the presence of significant associations in between complications by the construction of a co-variance matrix. Furthermore, to assess differences in the timing of complications between the three procedure types (THA, HA and ORIF), individual Cox-regression survival models were created for each complication while adjusting for other baseline clinical characteristic (age, gender, BMI and co-morbids).

All statistical analysis was carried out using SPSSv23 (IBM Corp, Armonk, NY). For all statistical purposes, a p-value of less than 0.05 was considered significant.

3. Results

A total of 31,738 patients met inclusion/exclusion criteria and were included in the study. Baseline demographics of the study population are shown in Table 1. The majority of the patients were female (N = 22,527; 71.0%) and were in the age group of 80–89 years (N = 14,002; 44.1%). The most common type of procedure performed in the study population was ORIF (N = 25,583; 80.6%) followed by HA (N = 4596; 14.5%) and THA (N = 1559; 4.9%). The median length of stay was 4.0 days.

Table 1.

Baseline Clinical Characteristics of the study population.

Variable Number Percentage
Total 31,738 100%
Age(years)
65–79 10,427 32.9%
80–89 14,002 44.1%
≥90 7309 23.0%
Gender
Male 9211 29.0%
Female 22,527 71.0%
Body Mass Index (BMI; kg/m2)
<25.0 18,145 57.2%
25.0–29.9 9000 28.4%
30.0–34.9 3263 10.3%
≥35.0 1330 4.2%
Procedure Type
Total Hip Arthroplasty (THA) 1559 4.9%
Hemiarthroplasty (HA) 4596 14.5%
Open Reduction/Internal Fixation (ORIF) 25,583 80.6%
Co-Morbids
Insulin-Dependent Diabetes Mellitus (IDDM) 2349 7.4%
Non-Insulin Dependent Diabetes Mellitus (NIDDM) 3337 10.5%
Smoking 2945 9.3%
Dyspnea at Rest 350 1.1%
Dyspnea at Moderate Exertion 1989 6.3%
Functional Health Status prior to surgery
 Independent 24,700 77.8%
 Partially Dependent 5726 18.0%
 Totally Dependent 1033 3.3%
 Unknown 279 0.9%
Pre-operative Ventilator Use 55 0.2%
History of severe COPD 3612 11.4%
History of Congestive Heart Failure (CHF) 1239 3.9%
Hypertension requiring medication 22,147 69.8%
Chronic Steroid Use 1590 5.0%
>10% body-weight loss in last 6 months 491 1.5%
Bleeding Disorders 5406 17.0%
Transfusion≥1 units of packed RBCs in 72 h before surgery 1398 4.4%
Disseminated Cancer 479 1.5%

Individual complication rates are shown in Table 2. The most common complication was death (5.61%) followed by UTI (4.47%) and pneumonia (4.23%). Median day of diagnosis along with interquartile ranges are also shown in Table 2. The median time of diagnosis in days, in ascending order, for myocardial infarction was 2 [IQR 1–6], pneumonia 4 [IQR 2–12], stroke/CVA 3 [IQR 1–10], pulmonary embolism 5 [IQR 2–14], urinary tract infection (UTI) 8 [IQR 2–15], deep venous thrombosis (DVT) 9 [IQR 4–17], sepsis 11 [IQR 5–19], death 12 [IQR 6–20], superficial surgical site infection (SSI) 16 [IQR 12–22], deep SSI 23 [IQR 15–24] and organ/space SSI 19 [IQR 15–23]. Comparison of the timings of complications with those of arthroplasty14 and spinal fusion15 using past literature is shown in Fig. 1.

Table 2.

Frequencies and median day of diagnosis of post-operative complications.

Complication Number Percentage Median day [Interquartile range]
Superficial SSI 177 0.56% 16 [12–22]
Deep SSI 75 0.24% 23 [15–24]
Organ/Space SSI 73 0.23% 19 [15–23]
Pneumonia 1344 4.23% 4 [2–12]
Pulmonary Embolism 230 0.72% 5 [2–14]
Deep Venous Thrombosis (DVT) 358 1.13% 9 [4–17]
Urinary Tract Infection (UTI) 1418 4.47% 8 [2–15]
Stroke/CVA 248 0.78% 3 [1–10]
Myocardial Infarction 578 1.82% 2 [1–6]
Sepsis 356 1.12% 11 [5–19]
Death 1781 5.61% 12 [6–20]

Fig. 1.

Fig. 1

Timing of complications of hip fractures relative to total joint arthroplasty14 and posterior spinal fusions.15

With the exception of surgical site infections, sepsis and death –the majority of complications were diagnosed <15 days following the surgery. Only MI, Stroke and pneumonia were defined as “early” complications. Furthermore, when characterized by timing relevant to discharge, the three most common post-operative complications that were diagnosed prior to discharge were myocardial infarction (76.1% of total occurrences of MI), pneumonia (67.3% of total occurrences of pneumonia) and stroke (69.4% of total occurrences of stroke), while surgical site infections (superficial, deep and organ/space) were primarily diagnosed following discharge (Table 3).

Table 3.

Frequencies of complications occurring prior to discharge.

Complications Number prior to discharge Percentage of total
Superficial SSI 29 16.4%
Deep SSI 6 8%
Organ/Space SSI 9 12.3%
Pneumonia 905 67.3%
Pulmonary Embolism 129 56.1%
Deep Venous Thrombosis (DVT) 162 45.2%
Urinary Tract Infection (UTI) 748 52.8%
Stroke/CVA 172 69.4%
Myocardial Infarction 440 76.1%
Sepsis 133 37.4%
Death 647 36.3%

Individual co-variance matrices showed that all complications were significantly associated with the occurrence of at least one other complication, with the occurrence of pneumonia to be associated with a total of 7 other complications.

Individual cox-regression survival models showed that, following adjustment for baseline clinical characteristics, undergoing a THA for hip fracture repair was associated a relatively early occurrence of pneumonia (median day 3 [IQR 1–5.25]; p = 0.029) and urinary tract infection (median day 4 [IQR 1–13]; p = 0.035) and a later occurrence of organ/space SSI (Median day 23.5 [IQR 19.5–26.75]; p = 0.002) as compared to undergoing an ORIF (Fig. 2: A-K).

Fig. 2.

Fig. 2

Fig. 2

Fig. 2

(A-K)Figures showing distribution of complications over 30-day post-operative period (left) and Cox-regression survival analysis (Right) between different procedure types (THA, HA and ORIF) for each post-operative complication. P-values for differences in survival rates of complication, following adjustment for baseline clinical characteristics in Cox-regression, between various procedures are given below. ORIF was taken as the reference group while conducting comparisons. A, superficial SSI; B, deep SSI; C, organ/space SSI; D, pneumonia; E, pulmonary embolism; F, urinary tract infection; G, stroke/CVA; H, myocardial infarction; I, sepsis; J, deep vein thrombosis; and K, death.

4. Discussion

The current study, using a cohort of more than 31,000 patients from a national surgical database, characterizes the timing of common complications following hip fracture repair in geriatric patients. Overall, our results indicate that the majority of the complications occurred within two weeks of the index procedure thus suggesting that careful follow-up and care of the patient can be used to effectively reduce the incidence of these adverse events in this period of “vulnerability.”

Contrary to other complications, SSIs (superficial, deep and organ/space) occurred relatively later in the post-operative course. We also noted that the curves for superficial, deep and organ/space SSI did not plateau up to 30-day period thus pointing towards the fact that surgical site infections may potentially be occurring even after the 30-day period. These findings are similar to previous complication timing literature on arthroplasty14 and spine,15,16 and highlight the importance of careful and regular follow-up of patients even after the post-operative 30-day period to prevent the occurrence of this adverse event.

Our median days of diagnosis for several complications when compared to a recent study published by Bohl et al. investigating the timing of complications following total joint arthroplasty14 were – MI: 3 vs. 2 days, Stroke: 2 vs. 3 days; pneumonia 4 vs. 4 days; pulmonary embolism: 3 vs 5 days, DVT: 6 vs. 9 days, UTI: 8 vs 8 days and sepsis 10 vs. 11. Though largely the median days were similar, differences in the timing of pulmonary embolism and DVT was seen. A plausible reason for this could be due to the use of pneumatic tourniquets in total joint arthroplasty,14 which by their very principle of causing venous compression can predispose patients to developing thrombosis. Another reason for the findings could be due to differences in thrombo-prophylaxis protocols within the two groups. Given the emergent nature of hip fracture, as well as the hyper-coaguability induced by inflammation from trauma itself, surgeons may tend to employ an extended use of anti-thrombotic agents that may yield a protective effect with regard to the timings.

Using a co-variance matrix, we were able to elucidate from the data that all complications were associated with at least one other complication. This is particularly important as a multi-pronged approach would be required to prevent occurrence of these complications rather than just focusing on one adverse event. However, it is imperative to note that the co-variance matrix is only able to assess associations in between complications and does not establish causality between two different adverse events. Further study would be required to assess causal relationships between different adverse events following hip fractures.

Results from Cox-regressional models, showed that the timing of certain complications (UTI, pneumonia and organ/space SSI) varied between THA and ORIF. In essence, UTI and pneumonia typically occurred earlier following a THA. A possible reason for this difference could be due to the difference in catheterization practices for each procedure type which may impact the occurrences of UTI. Future research needs to explore differences in catheterization practices between these procedures to come to a more affirmative conclusion. Another explanation for the findings could be that, following a THA, surgeons may have a lower threshold of obtaining urine analysis/culture if patients spike a temperature because of fear of hematogenous spread of an infection to the joint implant. However, currently the NSQIP does not hold enough surgical data to elucidate why there is a difference in the timings of these complications. Future studies need to focus on extracting more “granular” clinical data in order to reach this conclusion. Regardless, these results suggest an increased cautionary surveillance in the earlier post-operative period following a THA. Adoption of uniform, specific catheter protocols can be an effective way in reducing in the incidence of this common complication.17,18

The results of this study indicate that careful scheduling of follow-up visits focused on medical optimization, not just regular fracture follow-up, may help reduce complications. Adoption of low-thresholds for testing during these time periods by orthopaedic trauma surgeons can be an effective way in reducing the risk of complications. The findings of this study also promote the use and making of surgical registries with a longer-follow up to accurately capture complications when presenting research.

The study is not without limitations. First, the ACS-NSQIP records data only up to 30 days following the procedure. As mentioned before, this can be particularly limiting given that certain “late” complications such as SSI may be occurring well-beyond the specified period. Second, the NSQIP only captures data for a few complications as compared to other administrative databases. Third, the NSQIP does not provide data on post-operative venous thromboembolism prophylaxis which may affect complications such as DVT/PE. Finally, the majority of the hospitals participating in the NSQIP are large academic medical centers and therefore the results may not be truly representative of a national population.

Using a large cohort of patients from a national surgical database, we have characterized timing of the most common complications following hip fracture repair in geriatric patients. Orthopaedic trauma surgeons should utilize this data to promote heightened clinical awareness and low thresholds of testing during periods of highest risk to prevent occurrence of potentially devastating adverse events.

Conflicts of interest

The authors received no funding for this study and report no conflict of interest.

Conflict of interest and source of funding

No conflicts of interest were declared by the authors. No funding was required for this study.

Disclosures

The American College of Surgeons National Surgical Quality Improvement Program and the hospitals participating in the ACS NSQIP are the source of the data used herein; they have not verified and are not responsible for the statistical validity of the data analysis or the conclusions derived by the authors.

Acknowledgements

None.

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