Literature DB >> 26347328

Sex effects on short-term complications after hip fracture: a prospective cohort study.

Wilhelmina Ekström1, Bodil Samuelsson2, Sari Ponzer3, Tommy Cederholm4, Karl-Göran Thorngren5, Margareta Hedström6.   

Abstract

OBJECTIVES: To evaluate potential sex differences and other factors associated with complications within 4 months after a hip fracture.
METHODS: A total of 1,915 patients ≥65 years (480 men) with hip fracture were consecutively included in a prospective multicenter cohort study. A review of medical records and patient interviews according to a study protocol based on the Standardized Audit of Hip Fractures in Europe (SAHFE, RIKSHÖFT) was performed. Sex differences in comorbidity according to the American Society of Anesthesiologists score and complications 4 months after a hip fracture were registered. Multivariate logistic regression analysis was performed to identify factors related to complications.
RESULTS: Male sex was associated with worse general health according to the American Society of Anesthesiologists classification (P=0.005) and with more comorbidities (P<0.001). Male sex emerged as a risk factor for developing pneumonia (P<0.001), and additionally, 18% of the men suffered from cardiac complications compared with 13% of the females (P=0.018). Female sex was predisposed for urinary tract infections, 30% vs 23% in males (P=0.001). Mortality was higher in the male vs female group, both within 30 days (15% vs 10%, P=0.001) and at 4 months (24% vs 14%, P=0.001). Conditions associated with pneumonia were male sex, pulmonary disease, and cognitive impairment. Cardiac complications were associated with delayed surgery and cardiovascular and pulmonary disease.
CONCLUSION: Before surgery, men with hip fracture already have a poorer health status and higher comorbidity rate than women, thus resulting in a twofold increased risk of pneumonia. Cognitive dysfunction and pulmonary disease contributed to pneumonia in men. Delayed surgery seems to increase the risk for cardiac complications. It is important to consider the sex perspective early on together with cardiopulmonary comorbidity and cognitive dysfunction to be able to counteract serious complications that may lead to death.

Entities:  

Keywords:  associated factors; complications; hip fracture; male sex

Mesh:

Year:  2015        PMID: 26347328      PMCID: PMC4531035          DOI: 10.2147/CIA.S80100

Source DB:  PubMed          Journal:  Clin Interv Aging        ISSN: 1176-9092            Impact factor:   4.458


Introduction

Patients with hip fracture are commonly encountered in orthopedic and geriatric wards.1 These patients often suffer from several comorbidities2 and therefore require considerable nursing and medical care, in addition to the specific care needed for the hip fracture. Presence of comorbidities increases the risk of complications and frequently causes increased suffering with prolonged hospital stay3–5 and increased mortality rate.6 Few studies have been conducted with large samples to examine sex differences with focus on the effects of specific risk factors for short-term serious complications. It has been found that men more often suffer comorbidities at the time of hip fracture, that they are twice as likely to die after a hip fracture compared to women, and that the cause of death is dominated by infectious diseases such as pneumonia, influenza, and septicemia.7 Another study has confirmed that men are more likely to die from respiratory disease, malignant neoplasm, and circulatory disease compared to women.8 However, Endo et al9 found that there was no difference across sex when considering the number of comorbidities prior to surgery, but men had a worse physical status when assessed according to the American Society of Anaesthesiologists (ASA) score. In the same study, men had a higher proportion of one or more postoperative complications, with particular focus on pneumonia, arrhythmia, delirium, and pulmonary embolism.9 In 2009, we published a study analyzing sex differences in patients with a hip fracture and found that cognitive function in men was strongly associated with a higher risk of loss of walking ability and mortality.10 In another report from the same population, we analyzed associated factors for mortality in men and women with a hip fracture and presented a prognostic model including age, sex, ASA, and cognitive function.11 Considering the serious complications that could occur after hip fracture surgery, especially in men, it would be of great value to better understand factors related to postoperative complications at admission in order to offer optimal care for patients at high risk. The aim of the present study was to analyze sex differences and other possible factors associated with short-term complications. In contrast to our previous reports from this cohort, this report focuses on perioperative complications and possible associated factors within 4 months after surgery.

Materials and methods

All patients admitted with a hip fracture to any of the four university hospitals in Stockholm were consecutively included in a prospective cohort study throughout 2003.10 The patients were enrolled for 1 year and then followed for 2 years. Patients with pathologic hip fractures, such as metastatic fractures, malign and benign bone cyst, and fracture due to Paget’s disease, and patients younger than 65 years were excluded. The overall aim of the initial study was to describe the population with hip fracture in a geographically defined urban area and to evaluate the effect of cognitive function and sex on functional outcome.10 This study aims to further evaluate the sex effect on complications within 4 months after surgery. Patients were treated according to the Swedish National Guidelines.12 The guidelines recommend surgery within 24 hours, and encouraged early mobilization, and restricted time for the routine use of perioperative urinary catheter. Data collection was performed by a trained research nurse at each hospital and was then confirmed by the senior orthopedic consultant responsible for the study. At inclusion, the research nurse made a review of the medical records and carried out a structured interview with each patient according to the study protocol based on the national register RIKSHÖFT–standardized audit of hip fractures in Europe (SAHFE).13 Data collection was performed at baseline and at 4 months. Proxy respondents were interviewed if the patients were unable to provide reliable answers. Each patient’s physical and mental status on admission to the hospital were regarded as baseline. The index episode was defined as the patient status during the time period from admission to discharge from the hospital. Patient interviews were carried out during the index episode and at follow-up after 4 months. The patient’s current residence status was defined as living in own home or in an institution, which would include nursing homes or other staffed facilities, for example. Activities of daily living (ADL) status was recorded according to the Katz ADL Index.14 The Katz ADL index status is based on an evaluation of the functional dependence or independence of patients in bathing, dressing, going to the toilet, transferring, continence, and feeding. ADL index A indicates independence in all six functions, index B independence in all but one of the six functions. Indexes C–G indicate dependence in bathing and at least one more function. Presence or absence of concomitant diseases (comorbidity) was based on the medical history obtained from the patient, a proxy, and the medical records. Comorbidities were classified as cardiovascular disease, stroke, pulmonary disease, renal disease, diabetes mellitus, rheumatoid arthritis, Parkinson disease, and malignancy. The patient’s smoking status was recorded as “current smoker” or “nonsmoker”. Experienced orthopedic surgeons classified the hip fractures according to the SAHFE protocol.13 The attending anesthesiologist assessed the patient’s health status using the ASA score.15 Cognitive status was assessed during the index period using the Short Portable Mental Status Questionnaire (SPMSQ), which is a 10-item questionnaire. A range of 0–2 correct answers indicates severe cognitive dysfunction, 3–5 moderate dysfunction, 6–7 mild dysfunction, and 8–10 lucid.16 For the purpose of this study, we dichotomized the answers into two categories: cognitive dysfunction (ie, 0–7 correct answers) or no cognitive dysfunction (8–10 correct answers). In cases where the test was not conducted, patients were classified as having cognitive dysfunction if they had a diagnosis or known history of dementia; otherwise they were recorded as missing. Time to surgery was registered in days from admission to the hospital. Pressure ulcers were classified as grades I–IV according to the European Ulcer Advisory Panel (EPUAP 1999).17 The following medical and general complications, as defined in the SAHFE protocol,13 were used for the purpose of this study: pneumonia, cardiac complications (cardiac failure, arrhythmia, angina), deep venous thrombosis, pulmonary embolism, wound infection (superficial and deep), urinary tract infection (UTI), acute renal failure, gastrointestinal bleeding, myocardial infarction, cerebrovascular lesion, and pressure ulcer. Complications were identified by collecting information from medical records. Pressure ulcers were recorded on admission, during initial hospital stay, and at the time of discharge. Information on mortality was obtained from each hospital’s discharge register or from a proxy.

Statistical methods

Data were presented as mean ± SD (standard deviation) or as indicated. Categorical and nominal data were summarized as percentages (within sex group) and tested for sex differences with the χ2 test. The crude association between baseline variables and the most frequent complications is described and presented as odds ratios (ORs), with 95% confidence interval (CI), and P-values. Associated variables were entered into logistic regression models using the stepwise selection procedure, one model for each selected complication. All variables in the regression models were tested for interactions. All results are presented as ORs with their respective 95% CIs. All tests were two-sided, with the level of significance set at P<0.05. Analyses were performed with IBM SPSS Statistics 19 (IBM Corporation, Armonk, NY, USA). The study was conducted according to the Helsinki Declaration, and the local ethics committee approved all protocols.

Results

Of the initial 2,134 patients with a history of hip fracture, 179 patients were younger than 65 years and hence excluded from the study. The study sample consisted of 1,955 elderly patients. Of them, 12 patients died before surgery. Interview data were missing at baseline for an additional 28 patients, leaving just 1,915 patients (1,435 women and 480 men) in the final analysis. Baseline demographics, fracture type, and medical conditions are presented by sex in Table 1.
Table 1

Baseline demographics in 1,915 patients aged >65 years with a hip fracture

Women
Men
P*
N%N%
Age, mean (SD)84 (6.8)82 (7.4)65–101<0.001
Residencea
 Own home1,07776373800.153
 Institution334249620
Activities of daily livingb
 Katz A–B98673312700.138
 Katz C–G3572713530
Type of fracturec
 Cervical66848255530.004
 Pertrochanteric6554618138
 Subtrochanteric926449
ASA scored
 ASA 1–255739147310.002
 ASA 3–48726132869
Number of comorbiditiese
 Mean, (SD), median1.4 (0.96)11.6 (1.08)2<0.001
 0–18476023048
 ≥25684024752<0.001
Specific comorbidity
 Cardiovascular disease95167317660.824
 Stroke230149422<0.001
 Pulmonary disease2061597200.002
 Renal disease5242860.038
 Diabetes1561166140.097
 Rheumatoid arthritis10072550.169
 Parkinson’s disease3732350.017
 Malignancy1981410021<0.001
Cognitive dysfunctionf77558262590.594
Pressure ulcer at admission
 Grade I5441430.392
 Grade II–IV5241740.944
Surgery same day or day after admission1,09276357740.446

Notes:

Chi-square tests (one-way ANOVA for mean age), women vs men.

Missing: 35;

missing: 125;

missing: 20;

missing: 11;

missing: 23;

according to SPMSQ (0–7).

Abbreviations: ASA, American Society of Anesthesiologists; SD, standard deviation; SPMSQ, Short Portable Mental Status Questionnaire; ANOVA, analysis of variance.

Comorbidity – sex differences at baseline

Mean age was higher in the female population, at 84±6.8 vs 82±7.4 years in men (P<0.001). Male sex was associated with a higher percentage ASA 3–4, 69% vs 61% in female (P=0.002). Men also had more comorbidities, mean, 1.6 (SD, 1.08) compared to 1.4 (SD, 0.96) in women (P<0.001). Cardiovascular disease was found to be 66% among men and 67% among women (P=0.824). Significantly more men had a history of stroke (22% men vs 14% women, P<0.001), pulmonary disease (20% men vs 15% women, P=0.002), Parkinson disease (5% men vs 3% women, P=0.017), renal disease (6% men vs 4% women, P=0.038), and malignancy (21% men vs 14% women, P<0.001). In the male group 14% were suffering from diabetes mellitus vs 11% in the female group (P=0.097). Rheumatoid arthritis was found to be 5% among men and 7% among women (P=0.169). Fifty-nine percent of males and 58% of females had a cognitive dysfunction, according to the SPMSQ (P=0.594) (Table 1).

Complications – sex differences

The overall complication rate was 59% in the male group vs 56% in the female group (P=0.119). About 14% of male patients suffered from pneumonia compared to 6% women (P<0.001), and 18% of the men had a cardiac complication compared to 13% of the women (P=0.018). Female sex predisposed to UTI, 30% vs 23% in males (P=0.001). Mortality was higher in the male group when compared with women, both within 30 days (15% vs 10%, respectively, P=0.001) and at 4 month follow-up (24% vs 14%, respectively, P=0.001) (Table 2).
Table 2

Complications 0–4 months after a hip fracture in 1,915 patients aged ≥65 years

Women
Men
P*
N%N%
Number of complications
 None61344194420.119
 One5003515633
 Two or more2902111825
Type of complication
 Pressure ulcera2481896200.200
 Urinary tract infection43530109230.001
 Cardiac complication1911385180.018
 Pneumonia7966514<0.001
 Wound infection, superficial6951630.174
 Wound infection, deep242920.768
 Acute renal failure3221020.416
 Gastrointestinal bleeding272920.993
 Myocardial infarction4931840.729
 Cerebrovascular lesion2721120.577
 Pulmonary embolism141510.899
 Deep venous thrombosis171410.899
Mortality
 Mortality, 30 days136107415<0.001
 Mortality, 0–4 months2071411624<0.001

Notes:

All P-values chi-square tests, women vs men.

Pressure ulcers grade I–IV developed during hospital stay.

Associations between baseline variables and complications

Sex, age, ASA, time-to-surgery, cardiovascular or pulmonary disease, and cognitive function emerged as significantly associated with complications. In the crude analysis, cognitive dysfunction had a negative association with pressure ulcer, cardiac complication, and pneumonia (Table 3). A history of stroke did not correlate with any of the complications. A similar lack of correlation was found for a history of diabetes mellitus.
Table 3

Crude effect of preoperative variables on pressure ulcer, cardiac complication, and pneumonia

Binary variablePressure ulcer
Cardiac complication
Pneumonia
OR(95% CI)POR(95% CI)POR(95% CI)P
Baseline
Sex, male vs femalea1.2(0.9–1.6)0.21.4(1.1–1.9)0.0162.7(1.9–3.8)<0.001*
Age, 85–103 vs 65–84a1.4(1.1–1.8)0.003*1.3(1.0–1.6)0.061.2(0.8–1.7)0.3
Residence, institutional vs own homea1.4(1.1–1.8)0.0120.8(0.6–1.6)0.31.2(0.8–1.8)0.3
ADL, assisted vs independenta (Katz A–B vs C–G)1.6(1.2–2.0)0.001*0.9(0.7–1.2)0.51.4(0.9–2.0)0.09
Fracture type, extracapsular vs intracapsulara1.2(1.0–1.5)0.10.9(0.7–1.1)0.31.1(0.8–1.5)0.7
ASA classification, 3–4 vs 1–2a1.4(1.1–1.8)0.0132.2(1.6–3.0)<0.0012.5(1.6–3.7)<0.001
Time to surgery, 0–1 day vs 2 or more daysa1.6(1.3–2.1)<0.001*1.7(1.3–2.3)<0.001*1.5(1.0–2.1)0.045
Presence vs absence of specific concomitant disease
Cardiovascular disease1.1(0.9–1.4)0.422.6(1.9–3.5)<0.001*1.1(0.8–1.6)0.7
Stroke1.0(0.8–1.4)0.91.1(0.8–1.5)0.71.1(0.7–1.7)0.7
Pulmonary disease1.5(1.1–2.0)0.006*2.1(1.5–2.8)<0.0012.7(1.9–3.9)<0.001*
Renal disease1.2(0.7–2.0)0.61.5(0.9–2.6)0.61.2(0.5–2.7)0.6
Diabetes0.8(0.6–1.2)0.41.2(0.8–1.8)0.31.1(0.6–1.7)0.9
Rheumatoid arthritis0.8(0.5–1.3)0.31.2(0.7–2.0)0.41.1(0.6–2.1)0.8
Parkinson’s disease1.4(0.8–2.6)0.30.8(0.4–1.7)0.51.9(0.9–4.2)0.08
Malignancy1.3(1.0–1.8)0.0651.3(1.0–1.9)0.081.3(0.8–2.0)0.3
Cognitive function,** dysfunction vs normala1.5(1.2–2.0)0.0011.6(1.2–2.1)0.002*2.4(1.6–3–6)<0.001*
Presence of additional complications and mortality
Number of complications, 2 or more vs 1a1.6(1.2–2.0)<0.0012.6(1.8–3.1)<0.0013.1(2.0–4.7)<0.001
Mortality within 30 days, yes vs noa2.0(1.5–2.8)<0.0013.9(2.9–5.4)<0.0012.6(1.7–3.9)<0.001
Mortality 0–4 months, yes vs noa1.6(1.2–2.2)0.0012.5(1.8–3.3)<0.0012.2(1.5–3.2)<0.001

Notes: All P-values chi-square tests.

Variables still significant after adjusting for associated baseline variables.

According to the Short Portable Mental Status Questionnaire (0–7 vs 8–10).

Reference group.

Abbreviations: ASA, American Society of Anesthesiologists; ADL, activities of daily living; CI, confidence interval; OR, odds ratio.

Patients with pneumonia had 2.6 times higher odds (OR: 2.6, 95% CI: 1.7–3.9, P<0.001) and patients with cardiac complications 3.9 higher odds (OR: 3.9, 95% CI: 2.9–5.4, P<0.001) of increased 30-day mortality. At 4 months, the mortality was still 2.2 times more likely in patients with pneumonia (OR: 2.2, 95% CI: 1.5–3.2, P<0.001) and 2.5 times more likely in patients with cardiac complication (OR: 2.5, 95% CI: 1.8–3.3, P<0.001) (Table 3). The effect of the status at baseline on the four most common complications was analyzed in a stepwise logistic regression analysis (Table 4). Female sex posed a higher risk for UTI, whereas male sex was associated with a higher risk of pneumonia. Cardiac complications did not associate with sex. Cognitive dysfunction, present pulmonary disease, and male sex were the strongest factors related to the development of pneumonia. Surgical delay was associated with cardiac complications and increased incidence of developing pressure ulcer.
Table 4

Logistic regression models of baseline variables associated with the most frequent complications

Urinary tract infection
Pressure ulcer
Cardiac complication
Pneumonia
OR(95% CI)POR(95% CI)POR(95% CI)POR(95% CI)P
Sex
 Femaleb11
 Male0.7(0.5–0.9)0.0032.4(1.7–3.6)<0.001
Age
 65–84b11
 >851.2(0.0–1.5)0.0341.4(1.1–1.8)0.008
ADL
 Independentb (Katz A–B)1
 Dependent (Katz C–G)1.6(1.2–2.1)0.001
Time-to-surgery
 0–1 dayb11
 1 days1.6(1.2–2.1)<0.0011.6(1.2–2.2)0.001
Cardiovascular disease
 Nob1
 Yes2.2(1.5–3.0)<0.001
Pulmonary disease
 Nob111
 Yes1.6(1.2–2.2)0.0032.0(1.4–2.8)<0.0012.8(1.8–4.2)<0.001
Cognitive function
 Normal (SPMSQa 8–10)b11
 Dysfunction (SPMSQ 0–7)1.5(1.1–2.0)0.0062.5(1.6–3.8)<0.001

Notes:

The SPMSQ.

Reference variable.

Abbreviations: ADL, activities of daily living; CI, confidence interval; OR, odds ratio; SPMSQ, Short Portable Mental Status Questionnaire.

Discussion

In this study, we confirm that before surgery, men with hip fracture already have a poorer health status and higher comorbidity rates than do women, resulting in a twofold increased risk of pneumonia and also an increased risk of cardiac complications. Cognitive dysfunction increased the risk of any kind of complication and was, together with present pulmonary disease, a dominating factor related to pneumonia in men. Delayed surgery seems to increase the risk for cardiac complications and should be avoided if possible. It is important to consider the sex perspective early on together with cardiopulmonary comorbidity and cognitive dysfunction to be able to counteract serious complications that may lead to death. The relatively high complication rate compared to other similar studies may be explained by our approach of including all patients admitted for a hip fracture; in other words, that we also included patients with cognitive dysfunction. Cognitive dysfunction is known to be associated with a negative outcome after a hip fracture. The SPMSQ 10-item questionnaire has been reported to provide relevant information about the cognitive status of patients with hip fractures.18 We have previously reported the negative impact of severe cognitive dysfunction on mortality.11 Patients with mild to moderate cognitive dysfunction also sustain a high risk of developing complications19 that are even harder to identify in the clinical setting.18 In this study, we found that cognitive dysfunction increased the risk for all complications, such as UTI, pressure ulcer, cardiac complication, and pneumonia. We also found that mental impairment was the strongest predictor for pneumonia in men, besides having already present pulmonary disease. We therefore recommend the use of an instrument like the SPMSQ at the time of admission to identify these patients. We found that present pulmonary disease was associated with pneumonia and was also more common among men. It is known from previous studies that chest infection and cardiovascular disease are the most common postoperative complications after hip fracture and may lead to increased mortality.20–22 This is in accordance with our findings, which also show an increased mortality after a diagnosed pneumonia. Chatterton et al20 have also shown that male sex together with increasing age and comorbidity were associated with mortality during hospital stay as well as pneumonia and cardiovascular disease. The result from our study highlights further the need to also consider the sex aspect when assessing the patients’ risk for serious complications such as pneumonia or cardiac complications. Despite this knowledge, it seems that the care of these patients needs to be improved, for example, by taking into account male sex as a strong risk factor, considering a more active pre- and postoperative physiotherapeutic treatment, and starting antibiotic treatment sooner. Patients with cardiac disease need to be identified early to be able to consider a more active pre- and postoperative treatment. Under optimum conditions, there is a clear treatment algorithm that includes cardiac evaluation such as adjustment of fluid balance, hemoglobin, and saturation. Assessment by a cardiologist already at the emergency ward should be considered, also including a plan for follow-up during the hospital stay. In certain orthopedic clinics in Sweden, there is now a staff geriatrician, and this has been a valuable contribution to optimize the medical treatment of hip fracture patients. Somewhat surprising, a previous history of stroke did not correlate with any complication, but identical results have also been reported previously.23 In the current study, UTI was identified if antibiotics were provided for this condition. UTI was found to be the most common complication, which is in line with several other studies.3,5,24 Still, the present incidence was even higher than reported by others.25,26 This may be explained by the fact that we followed all patients up to 4 months after the fracture. Time to surgery was associated with an increased incidence of pressure ulcers, which is consistent with prior findings.27–29 Furthermore, cardiac complications were associated with delayed time to surgery. Previous studies have shown the importance of reduced waiting time to surgery to increase the patients possibility to return to independent living,29 to reduce hospital stay, and possibly decrease complication rate and mortality.30 The Swedish Board has placed a major focus on this issue and demands an annual account of the number of patients with hip fracture who have had surgery within 24 hours. This time limit is also linked to economic compensation, and this could be one way to raise the awareness of the importance of providing a fast track to surgery for patients with hip fracture.12 More than half the number of patients in our study had a cardiovascular disease. This comorbidity could require optimization of the patients’ health condition before surgery, which in turn could lead to a delay. The question is how to balance these two demands. In a recent review article, it was suggested that we need a more active approach in the preoperative risk assessment, medical and orthopedic comanagement, and perioperative monitoring to be able to operate on the patient within time limits and as safe as possible.31 We agree that the preoperative risk assessment is of importance and that it should be carried out systematically using a validated and manageable instrument. In a study evaluating the impact of surgical timing on surgical outcomes, the orthopedic Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity (POSSUM) was used. The study showed a small improvement of the physiological score from admittance to before surgery and that the POSSUM may be used to identify patients with a higher risk for morbidity if surgery was delayed over 24 hours.32 The strengths of this study are the large number of patients as well as the inclusion of patients with cognitive dysfunction. Cognitive dysfunction is often an exclusion criterion in prospective studies of hip fracture patients. The other strengths of the study are the use of validated instruments and protocols, for example, as in our use of the SAFHE, as well as the thorough review of all the charts. These were performed by specially trained research nurses who also interviewed all the patients. There are several limitations of the study. The study did not include current medications, laboratory parameters, or secondary causes of osteoporosis that could have further contributed to the assessment of the patients’ risk of mortality. A possible limitation was the missing data which, however, only comprised 1.4% of the patients and therefore is unlikely to affect the outcome.

Conclusion

Before surgery, men with hip fracture already have a poorer health status and higher comorbidity rate than women, resulting in a twofold increased risk of pneumonia and also an increased risk of cardiac complications. Cognitive dysfunction and present pulmonary disease were related to pneumonia in men. Delayed surgery seems to increase the risk for cardiac complications. It is important to consider the sex perspective early on together with cardiopulmonary comorbidity and cognitive dysfunction to be able to counteract serious complications that may lead to death.
  29 in total

1.  Epidemiology of femoral neck fractures.

Authors:  K-G Thorngren; A Hommel; P O Norrman; J Thorngren; H Wingstrand
Journal:  Injury       Date:  2002-12       Impact factor: 2.586

2.  Effect of comorbidities and postoperative complications on mortality after hip fracture in elderly people: prospective observational cohort study.

Authors:  J J W Roche; R T Wenn; O Sahota; C G Moran
Journal:  BMJ       Date:  2005-11-18

3.  The relationship between postoperative complications and outcomes after hip fracture surgery.

Authors:  R A Merchant; K L Lui; N H Ismail; H P Wong; Y Y Sitoh
Journal:  Ann Acad Med Singapore       Date:  2005-03       Impact factor: 2.473

4.  Effect of previous cerebrovascular accident on outcome after hip fracture.

Authors:  T Youm; G Aharonoff; J D Zuckerman; K J Koval
Journal:  J Orthop Trauma       Date:  2000 Jun-Jul       Impact factor: 2.512

5.  A comprehensive hip fracture program reduces complication rates and mortality.

Authors:  Susanne J Pedersen; Finn M Borgbjerg; Birgitte Schousboe; Bente D Pedersen; Henrik L Jørgensen; Benn R Duus; Jes B Lauritzen
Journal:  J Am Geriatr Soc       Date:  2008-10       Impact factor: 5.562

6.  Predictors of hospital readmission in a cohort of 236 elderly discharged after surgical repair of hip fracture: one-year follow-up.

Authors:  Andrea Giusti; Antonella Barone; Monica Razzano; Monica Pizzonia; Mauro Oliveri; Giulio Pioli
Journal:  Aging Clin Exp Res       Date:  2008-06       Impact factor: 3.636

7.  Early operation on patients with a hip fracture improved the ability to return to independent living. A prospective study of 850 patients.

Authors:  Amer N Al-Ani; Bodil Samuelsson; Jan Tidermark; Asa Norling; Wilhelmina Ekström; Tommy Cederholm; Margareta Hedström
Journal:  J Bone Joint Surg Am       Date:  2008-07       Impact factor: 5.284

8.  Increased mortality in patients with a hip fracture-effect of pre-morbid conditions and post-fracture complications.

Authors:  P Vestergaard; L Rejnmark; L Mosekilde
Journal:  Osteoporos Int       Date:  2007-06-14       Impact factor: 4.507

9.  Hip fracture and pressure ulcers - the Pan-European Pressure Ulcer Study - intrinsic and extrinsic risk factors.

Authors:  Christina Lindholm; Eila Sterner; Marco Romanelli; Elaine Pina; Joan Torra y Bou; Helvi Hietanen; Ansa Iivanainen; Lena Gunningberg; Ami Hommel; Birgitta Klang; Carol Dealey
Journal:  Int Wound J       Date:  2008-06       Impact factor: 3.315

10.  Documenting the cognitive status of hip fracture patients using the Short Portable Mental Status Questionnaire.

Authors:  Anita Söderqvist; Lars Strömberg; Sari Ponzer; Jan Tidermark
Journal:  J Clin Nurs       Date:  2006-03       Impact factor: 3.036

View more
  12 in total

1.  Hip fracture, mortality risk, and cause of death over two decades.

Authors:  M von Friesendorff; F E McGuigan; A Wizert; C Rogmark; A H Holmberg; A D Woolf; K Akesson
Journal:  Osteoporos Int       Date:  2016-05-12       Impact factor: 4.507

2.  Long-term sex differences in all-cause and infection-specific mortality post hip fracture.

Authors:  Rashmita Bajracharya; Jack M Guralnik; Michelle D Shardell; Alan M Rathbun; Takashi Yamashita; Marc C Hochberg; Ann L Gruber-Baldini; Jay S Magaziner; Denise L Orwig
Journal:  J Am Geriatr Soc       Date:  2022-04-12       Impact factor: 7.538

3.  Age-related changes in the fracture resistance of male Fischer F344 rat bone.

Authors:  Sasidhar Uppuganti; Mathilde Granke; Alexander J Makowski; Mark D Does; Jeffry S Nyman
Journal:  Bone       Date:  2015-11-22       Impact factor: 4.398

4.  Transfusion timing relative to surgery does not impact outcomes in hip fracture patients.

Authors:  Rown Parola; Sanjit R Konda; Cody R Perskin; Abhishek Ganta; Kenneth A Egol
Journal:  Eur J Orthop Surg Traumatol       Date:  2021-06-09

5.  One-year mortality in displaced intracapsular hip fractures and associated risk: a report of Chinese-based fragility fracture registry.

Authors:  Simon Kwoon-Ho Chow; Jiang-Hui Qin; Ronald Man-Yeung Wong; Wai-Fan Yuen; Wai-Kit Ngai; Ning Tang; Chor-Yin Lam; Tak-Wing Lau; Kin-Bong Lee; Kwai Ming Siu; Sze-Hung Wong; Tracy Y Zhu; Wing-Hoi Cheung; Kwok-Sui Leung
Journal:  J Orthop Surg Res       Date:  2018-09-14       Impact factor: 2.359

6.  Postoperative Physical Therapy to Prevent Hospital-acquired Pneumonia in Patients Over 80 Years Undergoing Hip Fracture Surgery-A Quasi-experimental Study.

Authors:  Anna Ståhl; Elisabeth Westerdahl
Journal:  Clin Interv Aging       Date:  2020-10-01       Impact factor: 4.458

7.  Trends in Hip Fracture Incidence, Recurrence, and Survival by Education and Comorbidity: A Swedish Register-based Study.

Authors:  Anna C Meyer; Stina Ek; Sven Drefahl; Anders Ahlbom; Margareta Hedström; Karin Modig
Journal:  Epidemiology       Date:  2021-05-01       Impact factor: 4.860

8.  Effectiveness of a Day Rehabilitation Program in Improving Functional Outcome and Reducing Mortality and Readmission of Elderly Patients With Fragility Hip Fractures.

Authors:  Tak Man Wong; Frankie K L Leung; Tak Wing Lau; Christian Fang; Felix H W Chan; Jun Wu
Journal:  Geriatr Orthop Surg Rehabil       Date:  2018-05-04

9.  Impact of Antiplatelet Therapies on Patients Outcome in Osteosynthetic Surgery of Proximal Femoral Fractures.

Authors:  Michael Humenberger; Matthias Stockinger; Stephan Kettner; Jolanta Siller-Matula; Stefan Hajdu
Journal:  J Clin Med       Date:  2019-12-09       Impact factor: 4.241

10.  The Sernbo score as a predictor of 1-year mortality after hip fracture: a registry study on 55,716 patients.

Authors:  Carl Mellner; Margareta Hedström; Ami Hommel; Olof Sköldenberg; Thomas Eisler; Sebastian Mukka
Journal:  Eur J Trauma Emerg Surg       Date:  2020-05-03       Impact factor: 3.693

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.