Sage Journals: Discover world-class research

Abstract

Introduction:

Twenty-five percent to seventy-five percent of independent patients do not walk independently after hip fracture (HF), and many patients experience functional loss. Early rehabilitation of functional status is associated with better long-term outcomes; however, predictors of early ambulation after HF have not been well described.

Purposes:

To assess the impact of perioperative and patient-specific variables on in-hospital ambulatory status following low-energy HF surgery.

Methods:

This is a retrospective analysis of 463 geriatric patients who required HF surgery at a metropolitan level-1 trauma center. The outcomes were time to transfer (out of bed to chair) and time to walk.

Results:

Three hundred ninety-two (84.7%) patients were able to transfer after surgery with a median time of 43.8 hours (quartile range: 24.7-53.69 hours), while 244 (52.7%) patients were able to walk with a median time of 50.86 hours (quartile range: 40.72-74.56 hours). Preinjury ambulators with aids (hazard ratio [HR]: 0.70, confidence interval [CI]: 0.50-0.99), age >80 years (HR: 0.66, CI: 0.52-0.84), peptic ulcer disease (HR: 0.57, CI: 0.57-0.82), depression (HR: 0.66, CI: 0.49- 0.89), time to surgery >24 hours (HR: 0.77, CI: 0.61-0.98), and surgery on Friday (HR: 0.73, CI: 0.56-0.95) were associated with delayed time to transfer. Delayed time to walk was observed in patients over 80 years old (HR: 0.74, CI: 0.56-0.98), females (HR: 0.67, CI: 0.48-0.94), peptic ulcer disease (HR: 0.23, CI: 0.84-0.66), and depression (HR: 0.51, CI: 0.33-0.77).

Conclusions:

Operative predictors of delayed time to transfer were surgery on Friday and time to surgery >24 hours after admission. Depression is associated with delayed time to transfer and time to walk. These data suggest that is important to perform surgeries within 24 hours of admission identify deficiencies in care during the weekends, and create rehabilitation programs specific for patient with depression. Improving functional rehabilitation after surgery may facilitate faster patient discharge, decrease inpatient care costs, and better long-term functional outcomes.

Keywords

hip fracture ambulatory status time to walk predictors physical therapy

Introduction

Hip fractures (HFs) are a major public health concern because of their prevalence, high costs, and poor postsurgical outcomes.^1,2 Hip fracture is the second most common osteoporotic fracture with an incidence of 794 per 100 000 females and 369 per 100 000 males in 2004.¹ Although HFs are more common in females, males are known to have higher postoperative morbidity and mortality (33% at 1 year).^1,3

-6 In addition, HFs represent total inpatient care costs reaching up to 6 billion dollars per year.⁷ Lastly, 25% to 75% of functionally independent patients do not walk independently after HF, and many patients experience functional loss related to impaired balance and mobility.^2,8,9

Evidence-based clinical practice guidelines regarding management of HFs have recommended early assisted ambulation within 48 hours after HF surgery.¹⁰ Early ambulation may prevent loss of muscle strength,¹¹ improve the level of assistance required to walk, and improve walking distance.¹⁰ Furthermore, early ambulation may contribute to shorter length of stay (LOS) and result in lower levels of functional dependency at discharge from acute care.¹² Delay in standing is associated with deterioration of functional recovery at 1 month, lower levels of self-care, less ability to transfer, worse locomotion at 2 months, and higher mortality at 6 months when controlling for preoperative immobility.^10,12,13

Short- and long-term functional outcomes after HF surgery have been extensively studied.^12

-18 However, few studies have evaluated the in-hospital ambulatory status following HF surgery.^10,19,20 Furthermore, while it is well-established that postoperative morbidity and mortality are greater in males than in females, there is a paucity of data regarding gender differences on in-hospital ambulatory status.^1,5,6 Therefore, the aim of this study is to assess the correlation of perioperative and patient-specific variables with in-hospital ambulatory status using time to transfer (out of bed to chair) and time to walk after HF surgery as outcomes. Due to the multifactorial nature of perioperative recovery, it is necessary to assess the relationships between ambulatory status and patient-specific, preoperative, and operative factors. This may allow clinicians to better identify modifiable factors that may prolong postoperative physical therapy (PT) and ambulatory recovery. In addition, we analyzed whether gender is an independent predictor of time to transfer and time to walk after HF surgery when controlling for covariates. We hypothesized that there are identifiable perioperative risk factors that can delay the time to transfer and time to walk after HF surgery and that male gender is a predictor of delayed improvement in ambulatory status after HF surgery.

Methods

Patients

A retrospective analysis was performed in all patients over 50 years old admitted for surgical repair of HF between January 2013 and December 2014. This study utilized our institutional Fragile Bone Registry, and approval was granted by our institutional review board prior to initiation of the study. Patients were initially identified using the hospital daily orthopedic trauma list. Subsequent information was gathered from the electronic records. Inclusion criteria were (1) diagnosis of femoral neck or intertrochanteric HF and (2) recorded discharge date (n = 548). Exclusion criteria (Table 1) consisted of patient conditions or chart characteristics that would likely confound ambulation or data analysis, including (1) pathological, atypical, periprosthetic, and chronic fractures (n = 11); (2) nonunion HF (n = 1); (3) combined femoral neck and femoral shaft fracture (n = 1); (4) concomitant acetabular, pelvic, or humerus fracture (n = 13); (5) high-energy fractures (n = 2); (6) patients treated conservatively (n = 1); (7) contralateral HF in the last year (n = 2); (8) preinjury nonambulatory patients (n = 3); (9) incomplete chart information (n = 38); (10) age younger than 50 (n = 12); and (11) atypical fracture (n = 1). Eighty-five patients were excluded from the analysis, resulting in 463 patients included in this study.

Table 1.

Patients Excluded From Analysis.

Reason for Exclusion	Number
Incomplete chart information	38
Younger than age 50	12
Concomitant humerus fracture	12
Pathologic fracture	9
Preinjury nonambulatory status	3
Periprosthetic fracture	2
High-energy trauma	2
Contralateral hip fracture in the last year	2
Atypical fracture	1
Combined neck and shaft fracture	1
Concomitant acetabular/pelvic fracture	1
Conservative treatment	1
Nonunion fractures	1
Total	85

Assessment

Data were collected from the electronic database records by authors V.J. and K.J. Information gathered through admission notes, anesthesia records, operative notes, and postoperative notes included age, gender, preinjury ambulatory status, side of fracture, fracture type, time to surgery, surgical intervention, American Society Anesthesiologist score (ASA),²¹ type of anesthesia, blood loss, operating room (OR) day of the week, associated medical comorbidities, postoperative pain management (patient-controlled analgesia [PCA]), ambulatory status during each PT session, and presence of pain at time of PT, as stated in the PT note.

Predictors of Ambulatory Status

Preinjury ambulatory status was categorized as “independent” when patient did not require any assistive devices or “ambulator with aids” when patient required assistive devices (ie, cane, walker). Type of HF was categorized as femoral neck fracture or intertrochanteric fracture. The ASA rating scale was used to assess the role of severity of comorbidities at time of admission, as described by Owens et al.²¹ Patients were categorized as ASA 1-2 or ASA 3-4. No patients with ASA 5 were identified. Time to surgery was determined by the time between admission, as reported in the admission note, and initiation of anesthesia and was classified as ≤24 hours or >24 hours. Type of surgery was reported as hemiarthroplasty, total hip arthroplasty (THA), cephalomedullary nailing (CMN), and open reduction internal fixation which includes percutaneous pin fixation (closed reduction percutaneous pinning [CRPP]). The amount of blood loss was obtained from the operative report and was intraoperatively estimated in milliliters. In addition, comorbidities were included (Table 2) as patient-specific variables that may have negative impact on functional status within this population.^6,20,22

-25 Presence of PCA and pain at the time of PT were evaluated from postoperative day (POD) 1 to 5 to assess postoperative care that may influence early ambulation.

Table 2.

Included Patients With Comorbidities.

Comorbidities	Overall %	Females %	Males %	P Value
History of MI	6.3	3.9	12.5	<.01
CHF	9.3	9.3	9.4	.97
Peripheral vascular disease^a	7.1	6.3	9.4	.25
Cerebrovascular accident^b	12.1	11.3	14.1	.42
Dementia	17.7	18.8	14.8	.32
Connective tissue disease	1.9	2.4	0.8	.46
COPD	7.1	6.3	9.4	.25
Peptic ulcer disease	3.7	3.6	3.9	.79
Liver disease	2.4	1.8	3.9	.19
Diabetes mellitus	12.1	8.7	21.1	<.01
Hemiplegia	0.9	0.3	2.3	.07
Renal disease	13.0	7.5	27.3	<.01
Solid tumor without metastasis^c	15.1	13.4	19.5	.10
Metastatic cancer	3.2	3.0	3.9	.57
Leukemia^d	0.2	0.3	0.0	1.00
Lymphoma	2.8	2.7	3.1	.76
AIDS	0.2	0.3	0.0	1.00
Depression	16.4	18.5	10.9	.05
Hypertension	57.9	57.0	60.2	.54
Osteoarthritis	8.6	9.3	7.0	.45
Rheumatoid arthritis	4.3	4.8	3.1	.44
Anemia	7.3	7.8	6.3	.58
Parkinson disease	4.3	3.3	7.0	.08
PCA	73.9	73.1	75.8	.56
Pain during hospitalization	56.6	56.4	57.0	.91

Abbreviations: AIDS, acquired immune deficiency syndrome; CHF, congestive heart failure; COPD, chronic obstructive pulmonary disease; MI, myocardial infarction; PCA, patient-controlled analgesia.

^a Peripheral disease include aneurysm >6 cm.

^b Cerebrovascular disease (CVA with mild or not residua or transient ischemic attack).

^c Excluded if >5 years from diagnosis.

^d Leukemia acute or chronic.

Ambulatory Status

In order to assess the ambulatory status after surgery, all electronic PT notes from POD 1 through the patient’s day of discharge were reviewed. Physical therapy sessions were performed once or twice per day during the weekdays and once a day during the weekends. Each session was performed every POD with the assistance of two therapists. Therapists documented encounter time, duration, type of activity, walking distance reached by the patient, and the amount of assistance given by those assisting. In-hospital ambulatory status was categorized in PT notes as: (1) patient is confined to bed; (2) patient stood, no steps; (3) steps by the bed and to the chair (1-3 ft); (4) walked inside the room (4-24 ft); and (5) walked outside the room (>25 ft). Those categories were grouped into 2 categories: (1) nonambulatory, (2) transfer (out of bed to chair), and (3) ambulatory (either in the hospital room or outside the room). The level of assistance required for transfer or ambulation was reported according to the suggested terminology for objective data, using definitions from the Adult Functional Independent Measure.²⁶ For analysis purposes, levels of assistance were grouped into: (1) complete independence, close supervision, and contact guarding; (2) minimal and moderate assistance; and (3) maximal and total assistance. Finally, time to transfer and time to walk were defined as the amount of time between surgery (anesthesia start time) and the first PT assessment in which the patient was able to transfer and ambulate, respectively, with any kind of assistance.

Statistical Analysis

Data entry was performed using a spreadsheet application (Excel 2010, Microsoft Corp, Redmond, Washington). Descriptive statistics are presented as frequencies and percentages for categorical variables. Median and quartile ranges were used to describe time to transfer and time to walk because the data are not normally distributed in our population. Multivariable cox proportional hazards modeling was used to compare time to transfer and time to walk while correcting for covariates. Ambulatory status and level of assistance required to walk was compared between groups using χ² tests. Statistical tests were performed using SAS version 9.3 (Cary, North Carolina) and SPSS 20.0 (IBM, Armonk, New York) with significance level of α = .05.

Results

Descriptive Data

A total of 548 consecutive patients were admitted to our institution with the initial diagnosis of fragility HF. Eighty-five patients were excluded (Table 1) resulting in the inclusion of 463 patients (mean age: 81.1 years; range: 51-102) of which 72.4% were females. The clinical demographic characteristics are shown in Table 3. American Society Anesthesiologist 3 to 4 and general anesthesia were more common in males when compared to females (P < .01 and P = .04, respectively). Hypertension was the most common comorbidity in both females and males (57% and 60.2%, respectively). In males, history of myocardial infarction (P < .01), diabetes mellitus (P < .01), and renal disease (P < .01) were more common when compared to females (Table 2).

Table 3.

General Characteristics of Study Population.

Variables	Category	Overall %	Female %	Male %	P Value
Variables	Category	n = 463	n = 335	n = 128	P Value
Age (years)	50-59	3.7	3.9	3.1	.95
	60-69	11.2	11.3	10.9
	70-79	22.7	22.1	24.2
	≥ 80	62.4	62.7	61.7
Side	Left	53.4	52.8	54.7	.72
Side	Right	46.7	47.2	45.3	.72
ASA	1-2	36.1	39.7	26.6	<.01
ASA	3-4	63.9	60.3	73.4	<.01
Fracture type	Femoral neck	47.1	44.5	53.9	.07
Fracture type	Intertrochanteric	52.9	55.5	46.1	.07
Intervention	Hemiarthroplasty	30.2	28.1	35.9	.25
	ORIF	8.0	7.8	8.6
	TFN	56.6	59.4	49.2
	THA	5.2	4.8	6.3
Preinjury status	Ambulator with aids	16.4	18.2	11.7	.10
Preinjury status	Independent	83.6	81.8	88.3	.10
Anesthesia	General	21.8	19.4	28.1	.04
Anesthesia	Regional	78.2	80.6	71.9	.04
Blood loss	<100 mL	28.7	29.3	27.3	.27
	101-200 mL	48.6	50.5	43.8
	>200 mL	22.6	20.3	28.9
Day of surgery	Sunday	8.6	8.4	9.4	.26
	Monday	23.8	24.5	21.9
	Tuesday	13.0	14.3	9.4
	Wednesday	18.1	15.8	24.2
	Thursday	12.1	11.6	13.3
	Friday	20.1	21.5	16.4
	Saturday	4.3	3.9	5.5
Time to surgery	<24 hours	56.6	57.0	55.5	.40
Time to surgery	>24 hours	43.4	42.9	44.5	.40

Abbreviations: ASA, American Society of Anesthesiologists; ORIF, open reduction internal fixation; TFN, trochanteric fixation nail; THA, total hip arthroplasty.

Time to Transfer and Time to Walk

Total number of patients who transfer out of bed to chair after surgery was 392 (84.7%) with a median time of 43.88 hours (quartile range: 24.73-53.69 hours). Total number of patients who were able to ambulate was 244 (52.7%) with a median time of 50.86 hours (quartile range: 40.72-74.56 hours; Table 4). The percentage of patients who were able to transfer out of bed to chair or walk each POD is represented in Figure 1. The level of assistance required to transfer from bed to chair is represented in Figure 2, and the level of assistance required to walk is represented in Figure 3. The majority of evaluated patients were able to transfer with minimal to moderate assistance from POD 1 to POD 5 (range 64% to 69%), while the majority of patients who were able to ambulate had complete independence, contact guard, or close supervision (range 45% to 68%). There was a tendency to decrease the level of assistance after each day. Figure 4 shows an analysis of the dose–response relationship between PT and percentage of patients able to transfer with 46% of patients transferring after 1 session, 28% after 2 sessions, 18% after 3 sessions, and 8% after 4 sessions. Figure 5 shows that 22% of patients were able to ambulate after 1 PT session, 30% after 2 sessions, 24% after 3 sessions and, 24% after 4 sessions.

Table 4.

Time to Transfer Out of Bed to Chair and Time to Walk.

		Time to Transfer(in hours)	Time to Walk(in hours)
N	Valid	392	244
N	Missing	71	219
Mean		45.0242	57.8589
Median		43.8850	50.8600
Standard deviation		25.18837	28.64443
Range		111.32	156.98
Percentiles	25	24.7350	40.7200
	50	43.8850	50.8600
	75	53.6925	74.5600

Figure 1.

Percentage of patients able to transfer or walk per day.

Figure 2.

Level of assistance required to transfer from bed to chair after hip fracture surgery.

Figure 3.

Level of assistance required to walk after hip fracture surgery.

Figure 4.

Patients able to make bed to chair transfer by number of physical therapy sessions.

Figure 5.

Patient able to walk by number of physical therapy sessions.

Delayed time to transfer was observed in patients over 80 years old (hazard ratio [HR]: 0.66, confidence interval [CI]: 0.52-0.84; P = .001), preinjury ambulators with aids (HR: 0.70, CI: 0.50-0.99; P = .46), and diagnoses of peptic ulcer disease (HR: 0.57, CI: 0.57-0.82; P = .04) and depression (HR: 0.66, CI: 0.49-0.89; P = .007). Earlier time to transfer was observed in patients with anemia (HR: 1.84, CI: 1.16-2.91; P = .009). Preoperative and operative variables associated with delayed time to transfer were surgery >24 hours after admission (HR: 0.77, CI: 0.61-0.98) and surgery on Friday (HR: 0.73, CI: 0.56-0.95). No significant difference in time to transfer was found between males and females after correcting for confounding variables as shown in Figure 6.

Figure 6.

Probability and time to transfer by gender.

Delayed time to walk was observed in patients over 80 years old (HR: 0.74, CI: 0.56-0.98; P = .02), diagnoses of peptic ulcer disease (HR: 0.23, CI: 0.84-0.66; P = .06), and depression (HR: 0.51, CI: 0.33-0.77; P = 0.02). Earlier time to walk was observed in patients with anemia (HR: 3.44, CI: 1.58-7.47; P = 0.002). Significant differences in time to walk were found between males and females with males outperforming females (HR: 0.67, CI: 0.48-0.94) as shown in Figure 7.

Figure 7.

Probability and time to walk by gender.

Discussion

The main findings in this study were that age over 80 and certain comorbidities (eg, depression and peptic ulcer disease) were risk factors for delayed time to transfer out of bed to the chair and delayed time to walk following HF surgery. Preinjury ambulatory status requiring aids was also associated with delayed time to transfer. In addition, preoperative and operative prognostic factors for delayed time to transfer were time to surgery >24 hours and surgery on Friday. Finally, it was found that gender was not associated with time to transfer but was associated with time to walk after HF surgery.

This study has several limitations. First, the retrospective design limits control over data collection. Therefore, as an observational study, we are limited to identifying associations and not causal relationships. Second, 90% of the study population was Caucasian and therefore, the data may not reflect the general population. Third, the number of patients with specific comorbidities was small in certain cases and therefore difficult to draw conclusions on these findings. Fourthly, dichotomization of outcomes was necessary for analysis purposes, resulting in substantial loss of information. However, it allows easy clinical identification of patients who would present delayed time to transfer or time to walk.

Despite limitations, this large retrospective cohort study assessed the impact of several epidemiologic, perioperative, and patient-specific factors on in-hospital ambulatory status. It is important to identify factors that can delay ambulation since ambulation within 48 hours after HF surgery have been associated with lower incidence of deep vein thromboembolism, less pulmonary complications, less skin breakdown, decreased rates of mental status decline, and improvement in physical independence. Furthermore, return of ambulatory function is one of the major goals of care for patients prior to discharge, and therefore delayed ambulation can significantly increase patients’ LOS and costs.^20,27,28

Preoperative factors correlated with delayed time to transfer or time to walk include preinjury ambulatory status and age of the patient. Patients walking with assistive devices before their injury were found to need more time to transfer postoperatively when compared to patients who walked independently before the surgery. Similar association was also found when evaluating inpatient rehabilitation hospital outcomes at the time of discharge and 1 month after surgery.^13,18 However, to our knowledge, there are no studies evaluating the in-hospital ambulation status.²⁰ Results in this study showed that patients older than 80 years have delayed time to walk after HF surgery. Similar results were found when evaluating an early ambulation program after HF.^19,20 It is suggested that poorer nutrition and number of comorbidities are factors that may contribute to this association.¹⁹

The comorbidities found to be associated with delayed time to transfer and time to walk after HF surgery were presence of peptic ulcer disease and depression. The finding of delayed time to transfer and time to walk in patients with peptic ulcer disease is supported by studies showing that peptic ulcer disease is associated with increased risk of delirium after HF surgery.²⁹ The definition of peptic ulcer disease includes the use of proton pump inhibitors and may represent previous hospitalizations, frequent interaction with the health-care system, or polypharmacy.³⁰ The use of proton-pump inhibitors has also been associated with increased risk of HF and periprosthetic fracture after primary THR possibly due to decreased calcium absorption.³¹ However, in this population, the number of patients presenting peptic ulcer disease was small (3.7%; Table 2), and therefore caution is advised with drawing conclusions from these results. Patients with depressed have shown to have inferior functional outcomes, longer LOS in rehabilitation centers, and decreased rehabilitation participation.³ This may be secondary to lack of motivation and/or energy to sufficiently participate in rehabilitation. Furthermore, depression is aggravated by the experience of a fall-related fracture and hospital stay.³² Additionally, anemia was associated with a faster time to walk. The small number of patients with anemia (7.3%) could explain why they were correlated with faster time to walk. Previous studies have shown that preoperative anemia is associated with increased mortality, poorer physical function, and lower health-related quality of life after HF surgery. Furthermore, perioperative blood transfusion and predischarge anemia have shown no effect in outcomes.^33,34 Our results showing that patients with anemia were able to transfer out of bed to chair 1.07 hours faster (median; 26.9 hours) than patients without anemia (median: 27.97 hours) were statistically significant but are not clinically relevant, and this difference could represent variations in PT encounter time.

Regarding perioperative factors associated with bed to chair transfer, this study demonstrated that surgery performed 24 hours after admission was associated with delayed time to transfer. Several studies have failed to find a correlation between time to surgery and in-hospital functional outcomes, but a previous study done in this institution showed that patients having surgery >48 hours from admission were less likely to walk by POD3 when compared to patients having surgery <48 hours from admission.^10,19,20,35 Furthermore, it has been shown that surgery >24 hours after admission for HF is associated with increased pain which might partially explain our results.^36,37 As time to surgery increases, morbidity, LOS, and total hospital costs progressively increase.³⁸ To our knowledge, this is the first study evaluating the association between time to surgery and ambulatory status, and level of assistance. We demonstrated that patients having surgery >24 hours after admission are less likely to transfer at the time of discharge (P = .04). This suggests that time to surgery is a predictor of time to transfer regardless of the amount of assistance required during PT. Delayed surgery is often related to medical instability or the presence of a correctable condition that required initial stabilization; however, the majority of cases of delay are due to system problems such as timely consultation, absence of OR space, or availability of the surgeon.^36,37,39 Therefore, it seems feasible to decrease the time to surgery after patient admission with more coordinated fracture care pathways with the goal to improve functional outcomes after HF surgery.

Surgery performed on Friday was also associated with delayed time to transfer, and this echoes the results of Barone et al. The lower number of physical therapists available during the weekends, the absence of medical orthopedic trauma service meetings, and the decreased presence of mid-level providers through the day to address patient needs might explain this finding. Lack of patient continuity among weekend PT staff and nursing staff may be a contributing factor. Surgery performed on Saturday was not associated with delayed time to transfer or time to walk; however, this is limited by our small sample size of surgery on this day (n = 20). Further studies should be done to assess the associations of surgery day and time to walk in larger groups of patients. Operating room availability and greater coordination between physical therapists and the orthopedic team on weekends may achieve optimal return of ambulatory function before discharge.¹⁹

In this study, there was no difference in time to transfer when comparing males versus females. This lack of gender differences has also been reported in long-term functional outcome studies.^{3,14,17,18,40
–42} We found that males with HF presented more comorbidities, had significantly higher ASA rating, and as consequence were more likely to receive general anesthesia as reported previously.^19,23 However, when including these factors as covariates in statistical analysis, gender was not an independent factor affecting time to transfer. There was significant difference in time to walk when comparing males versus females but was not clinically significant as seen in Figure 7.

In conclusion, significant predictors of time to transfer out of bed to the chair and time to walk after HF surgery were preinjury ambulatory status, age over 80, and specific comorbidities (eg, peptic ulcer disease and depression). Preoperative and operative factors directly associated with delayed time to transfer were general surgery on Friday and time to surgery >24 hours after admission. Based on the findings of this study, we recommend increased awareness for patients with specific risk factors for delayed time to transfer out of bed to the chair. Further, we recommend efforts to identify deficiencies in care during the weekends, to perform surgeries within 24 hours from hospital admission if possible, and to create rehabilitation pathways aiming to improved outcomes in patient with diagnoses of depression.

Footnotes

Author’s Note

Jordan C. Villa is now affiliated with Department of Orthopaedic Surgery and Rehabilitation, Howard University, Washington, DC.

Declaration of Conflicting Interests

The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Joseph M. Lane is consultant from Agnovos, Amgen, Inc Bone Therapeutics, SA, CollPlant, Inc. Graftys, Kuros, Lilly, Inc and is currently receiving research support from Merck, Inc and NIH.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Institutional Review Board (IRB) approved #1301013433.

References

Brauer

Coca-Perraillon

Cutler

Rosen

. Incidence and mortality of hip fractures in the United States. JAMA. 2009;302(14):1573–1579. https://doi.org/10.1001/jama.2009.1462.

Magaziner

Fredman

Hawkes

. Changes in functional status attributable to hip fracture: a comparison of hip fracture patients to community-dwelling aged. Am J Epidemiol. 2003;157(11):1023–1031. https://doi.org/10.1093/aje/kwg081.

Arinzon

Shabat

Peisakh

Gepstein

Berner

. Gender differences influence the outcome of geriatric rehabilitation following hip fracture. Arch Gerontol Geriatr. 2010;50(1):86–91. https://doi.org/10.1016/j.archger.2009.02.004.

Johnell

Kanis

. An estimate of the worldwide prevalence, mortality and disability associated with hip fracture. Osteoporosis Int. 2004;15(11):897–902. https://doi.org/10.1007/s00198-004-1627-0.

Pande

Scott

O’Neill

Pritchard

Woolf

Davis

. Quality of life, morbidity, and mortality after low trauma hip fracture in men. Ann Rheumatic Dis. 2006;65(1):87–92. https://doi.org/10.1136/ard.2004.034611.

Sterling

. Gender and race/ethnicity differences in hip fracture incidence, morbidity, mortality, and function. Clin Orthopaed Related Res. 2011;469(7):1913–1918. https://doi.org/10.1007/s11999-010-1736-3.

Agency for Healthcare Research & Quality News and Numbers, January 4, 2006. Rockville, MD.

Hall

Williams

Senior

Goldswain

Criddle

. Hip fracture outcomes: quality of life and functional status in older adults living in the community. Aust N Z J Med. 2000;30(3):327–332.

Wolinsky

Fitzgerald

Stump

. The effect of HIP fracture on mortality, hospitalization, and functional status: a prospective study. Am J Public Health. 1997;87(3):398–403. https://doi.org/10.2105/AJPH.87.3.398.

10.

Oldmeadow

Edwards

Kimmel

Kipen

Robertson

Bailey

. No rest for the wounded: early ambulation after hip surgery accelerates recovery. ANZ J Surg. 2006;76(7):607–611. https://doi.org/10.1111/j.1445-2197.2006.03786.x.

11.

Wolfson

Judge

Whipple

King

. Strength is a major factor in balance, gait, and the occurrence of falls. J Gerontol A Biol Sci Med Sci. 1995;50(Spec No):64–67.

12.

Siu

Penrod

Boockvar

Koval

Strauss

Morrison

. Early ambulation after hip fracture: effects on function and mortality. Arch Internal Med. 2006;166(7):766–771. https://doi.org/10.1001/archinte.166.7.766.

13.

Lee

Jung

Kim

. Prognostic factors predicting early recovery of pre-fracture functional mobility in elderly patients with hip fracture. Ann Rehabil Med. 2014;38(6):827–835. https://doi.org/10.5535/arm.2014.38.6.827.

14.

Beaupre

Carson

Noveck

Magaziner

. Recovery of walking ability and return to community living within 60 days of hip fracture does not differ between male and female survivors. J Am Geriatr Society. 2015;63(8):1640–1644. https://doi.org/10.1111/jgs.13535.

15.

Bentler

Liu

Obrizan

. The aftermath of hip fracture: discharge placement, functional status change, and mortality. Am J Epidemiol. 2009;170(10):1290–1299. https://doi.org/10.1093/aje/kwp266.

16.

Magaziner

Simonsick

Kashner

Hebel

Kenzora

. Predictors of functional recovery one year following hospital discharge for hip fracture: a prospective study. J Gerontol. 1990;45(3):M101–M107. https://doi.org/10.1093/geronj/45.3.M101.

17.

Penrod

Litke

Hawkes

. The association of race, gender, and comorbidity with mortality and function after hip fracture. J Gerontol A Biol Sci Med Sci. 2008;63(8):867–872. https://doi.org/63/8/867%20[pii].

18.

Semel

Gray

Ahn

Nasr

Chen

. Predictors of outcome following hip fracture rehabilitation. PM R. 2010;2(9):799–805. https://doi.org/10.1016/j.pmrj.2010.04.019.

19.

Barone

Giusti

Pizzonia

. Factors associated with an immediate weight-bearing and early ambulation program for older adults after hip fracture repair. Arch Phys Med Rehabil. 2009;90(9):1495–1498. https://doi.org/10.1016/j.apmr.2009.03.013.

20.

Kamel

Iqbal

Mogallapu

Maas

Hoffmann

. Time to ambulation after hip fracture surgery: relation to hospitalization outcomes. J Gerontol A Biol Sci Med Sci. 2003;58(11):1042–1045. https://doi.org/10.1093/gerona/58.11.M1042.

21.

Owens

Felts

Spitznagel

ELJ

. ASA physical status classifications: a study of consistency of ratings. Anesthesiology. 1978;49(4):239–243.

22.

Bass

French

Bradham

Rubenstein

. Risk-adjusted mortality rates of elderly veterans with hip fractures. Ann Epidemiol. 2007;17(7):514–519. https://doi.org/10.1016/j.annepidem.2006.12.004.

23.

Frenkel

Jongerius

Mandjes-van Uitert

van Munster

de Rooij

. Validation of the Charlson comorbidity index in acutely hospitalized elderly adults: a prospective cohort study. J Am Geriatr Society. 2014;62(2):342–346. https://doi.org/10.1111/jgs.12635.

24.

Mallinson

Deutsch

Bateman

et al . Comparison of discharge functional status after rehabilitation in skilled nursing, home health, and medical rehabilitation settings for patients after hip fracture repair. Arch Phys Med Rehabil. 2014;95(2):209–217. https://doi.org/10.1016/j.apmr.2013.05.031.

25.

Mathew

. Effect of comorbidity on functional recovery after hip fracture. Am J Phys Med Rehabil. 2013;92(8);686–696. https://doi.org/10.1097/PHM.0b013e318282bc67.

26.

Guide for the Uniform Data Set for Medical Rehabilitation (Adult Functional Independence Measure) (FIM). Version 4.0. Buffalo, NY: State University of New York at Buffalo;1993.

27.

Cameron

Lyle

Quine

. Accelerated rehabilitation after proximal femoral fracture: a randomized controlled trial. Disabil Rehabil. 1993;15(1):29–34.

28.

Koval

Rosen

Cahn

Zuckerman

. Rehabilitation after hip fracture in the elderly. The hospital for joint diseases protocol. Bull Hosp Jt Dis. 1997;56(1):60–62.

29.

Menzies

Mendelson

Kates

Friedman

. The impact of comorbidity on perioperative outcomes of hip fractures in a geriatric fracture model. Geriatr Orthop Surg Rehabil. 2012;3(3):129–134. https://doi.org/10.1177/2151458512463392.

30.

Charlson

Pompei

Ales

MacKenzie

. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–383.

31.

Singh

Lewallen

. Peptic ulcer disease and heart disease are associated with periprosthetic fractures after total hip replacement. Acta Orthopaedica. 2012;83(4):353–359. https://doi.org/10.3109/17453674.2012.717844.

32.

Lenze

Munin

Dew

. Adverse effects of depression and cognitive impairment on rehabilitation participation and recovery from hip fracture. Int J Geriatric Psychiatry. 2004;19(5):472–478. https://doi.org/10.1002/gps.1116.

33.

Abdullah

Ranjakunalan

Yeo

Tan

Poopalalingam

Sim

. Association between preoperative anaemia and blood transfusion with long-term functional and quality of life outcomes amongst patients undergoing primary total knee arthroplasty in Singapore: a single-centre retrospective study. Qual Life Res. 2018. https://doi.org/10.1007/s11136-018-1996-z.

34.

Espinosa

Gélvez

Torres

García

Peña

. Pre-operative factors associated with increased mortality in elderly patients with a hip fracture: a cohort study in a developing country. Injury. 2018;49(6):1162–1168. https://doi.org/10.1016/j.injury.2018.04.007.

35.

Cohn

Cong

Nwachukwu

. Factors associated with early functional outcome after hip fracture surgery. Geriatric Orthopaedic Surg Rehabil. 2016;7(1):3–8. https://doi.org/10.1177/2151458515615916.

36.

Dorotka

Schoechtner

Buchinger

. The influence of immediate surgical treatment of proximal femoral fractures on mortality and quality of life. Operation within six hours of the fracture versus later than six hours. J Bone Joint Surg Br. 2003;85(8):1107–1113.

37.

Orosz

Magaziner

Hannan

. Association of timing of surgery for hip fracture and patient outcomes. JAMA. 2004;291(14):1738–1743. https://doi.org/10.1001/jama.291.14.1738.

38.

Rogers

Shackford

Keller

. Early fixation reduces morbidity and mortality in elderly patients with hip fractures from low-impact falls. J Trauma. 1995;39(2):261–265.

39.

Kommer

Gokaraju

Singh

. Changing the consultant on calls from a daily to weekly rotation system reduces time to theater for patients with hip fracture to improve quality of care: a retrospective study of 2 cohorts of patients presenting with hip fracture. Geriatr Orthop Surg Rehabil. 2014;5(2):69–72. https://doi.org/10.1177/2151458514527762.

40.

Di Monaco

Manca

Cavanna

. Functional recovery and length of stay after recurrent hip fracture. Am J Phys Med Rehabil. 2002;81(2):86–89. https://doi.org/10.1097/00002060-200202000-00002.

41.

Ceder

Svensson

Thorngren

. Statistical prediction of rehabilitation in elderly patients with hip fractures. Clin Orthop Relat Res. 1980;(152):185–190.

42.

Mizrahi

E.-H

Arad

Fleissig

Adunsky

. Gender differences in functional outcome of elderly hip fracture patients. Geriatr Gerontol Int. 2014;14(4):845–850. https://doi.org/10.1111/ggi.12178.

Predictors of In-Hospital Ambulatory Status Following Low-Energy Hip Fracture Surgery

Abstract

Introduction:

Purposes:

Methods:

Results:

Conclusions:

Keywords

Introduction

Methods

Patients

Assessment

Predictors of Ambulatory Status

Ambulatory Status

Statistical Analysis

Results

Descriptive Data

Time to Transfer and Time to Walk

Discussion

Footnotes

Author’s Note

Declaration of Conflicting Interests

Funding

References