In the multivariable analysis, age (adjusted odds ratio [OR] 1.07; 95% confidence interval [CI], 1.00–1.14; P = 0.038) D‐dimer (adjusted OR 1.02; 95% CI, 1.00–1.03; P = 0.005), and transtricuspid pressure gradient (adjusted OR 1.03; 95% CI, 1.00–1.07; P = 0.015) were independently associated with hypoxia in patients with femoral neck fractures.

Keywords: D‐dimer, geriatric, hypoxia, injury, TRPG
Abstract
Aim
Femoral neck fractures in elderly patients needing oxygen therapy are often encountered in the emergency department. This single‐center, retrospective, observational study aimed to examine the frequency, cause, and factors related to hypoxia in elderly patients with femoral neck fractures.
Methods
We analyzed data from 241 patients admitted to Okayama Saiseikai General Hospital (Okayama, Japan) from April 2016 to March 2019. Hypoxia was defined as PaO2 / FiO2 ratio under 300. The independent factors for hypoxia were determined by multiple logistic regression analysis.
Results
There were 194 patients who met the study inclusion criteria, 148 in the non‐hypoxia group and 46 in the hypoxia group. The hypoxia group included patients with pneumonia (n = 3), chronic obstructive pulmonary disease (n = 2), pulmonary edema (n = 1), and pulmonary embolization (n = 1). The cause of hypoxia was undetermined in 39 cases. However, occult fat embolism syndrome was suspected in 29 of these 39 cases based on Gurd and Wilson criteria after considering clinical examination results. Barthel indexes were significantly lower in the hypoxia group on discharge. Age (adjusted odds ratio [OR] 1.07; 95% confidence interval [CI], 1.00–1.14; P = 0.038), D‐dimer (adjusted OR 1.02; 95% CI, 1.00–1.03; P = 0.005), and transtricuspid pressure gradient (adjusted OR 1.03; 95% CI, 1.00–1.07; P = 0.015) were independently associated with the hypoxia.
Conclusion
We found that hypoxia, including undetermined hypoxia, was commonly encountered in the emergency department. Hypoxia in elderly patients with femoral neck fractures was associated with age, D‐dimer, and transtricuspid pressure gradient and needs further investigation.
Introduction
The number of patients with osteoporosis and fragility‐related fractures has increased in most developed countries. 1 Femoral neck fractures associated with fragility increases societal burdens in terms of mortality and quality of life in the elderly population, as well as economic costs. 1 Recently, early surgery for femoral neck fracture was recommended to reduce complications, improve morbidity, and shorten hospital stay. 2 Patient‐specific factors such as age, male gender, and general health status, comorbidities, and postoperative complications influence high morbidity and long hospitalization. 3 Hypoxia during the postoperative period is also associated with higher morbidity and mortality due to complications. 4 However, preoperative hypoxia associated with femoral neck fractures in the emergency department has not fully been investigated. Therefore, this study aimed to investigate the frequency, etiology, characteristics, related factors, and outcomes of the early hypoxia seen in the elderly patients with femoral neck fractures in the emergency department setting. The results of this study could help emergency physicians understand the association between fragility fracture and hypoxia in the increasing elderly population.
Methods
The study was approved by a suitably constituted ethics committee of our institution (Committee of Okayama Saiseikai General Hospital, ID: 200101). Patient consent was waived. The study conforms to the provisions of the Declaration of Helsinki.
Study design and population
This single‐center, retrospective, observational study was carried out using the electronic medical records of patients with femoral neck fractures who were admitted to the emergency department of Okayama Saiseikai General Hospital (Okayama, Japan) during the 3‐year period from April 2016 to March 2019. The study included patients admitted to our hospital after diagnosis of femoral neck fractures confirmed with computed tomography (CT) in the emergency department. Patients under 60 years old and patients with insufficient arterial gas analysis were excluded.
Patient grouping and hypoxia diagnostic process
Hypoxia was defined as a PaO2 / FiO2 (P/F) ratio ≤ 300 mmHg based on the previous studies, 5 then patients were divided into hypoxia and non‐hypoxia groups. After general physical examinations, causes of hypoxia in all patients in the hypoxia group were investigated using laboratory test results, chest X‐rays, chest CT images, and/or echocardiography. Lung‐related diseases such as pneumonia, chronic obstructive pulmonary disease, pulmonary embolization, and pulmonary edema due to heart failure were diagnosed based on chest CT images and X‐rays with alveolar consolidation, interstitial infiltrates, or interstitial edema. Test results such as high serum C‐reactive protein, B‐type natriuretic peptide, and/or D‐dimer were evaluated. Other tests like sputum culture or echocardiography were carried out when needed. 6 , 7 , 8 The attending physician, emergency physician, and/or internal physician comprehensively diagnosed the cause of hypoxia. Hypoxia with unknown cause was defined as undetermined hypoxia after all examinations were carried out by the attending physician.
Outcomes
The primary outcome of the study was to identify the incidence and classify the causes of hypoxia in neck fracture patients in the emergency department. The secondary outcome was to determine the risk factors associated with hypoxia.
Data collection
We collected the following data from patients’ medical records: laboratory values (white and red blood cell counts, platelet count, hemoglobin, blood urea nitrogen, serum creatinine, estimated glomerular filtration rate, albumin, total protein, total bilirubin, C‐reactive protein, aspartate aminotransferase, alkaline phosphatase, alanine aminotransferase, amylase, B‐type natriuretic peptide, D‐dimer, prothrombin time, activated partial thromboplastin time, and arterial blood gas), clinical data (age, sex, weight, height, walking ability, whether or not the patient was living in a residential facility, and injury mechanism), medical history (hypertension, diabetes, cerebrovascular disease, chronic kidney disease, congestive heart failure, cirrhosis, cancer, dementia, and fracture), home oxygen therapy, region of fracture, vital signs, the presence of petechiae, Garden classification, use of echocardiography and contrast CT, duration of oxygen administration excluding the perioperative period, time to surgery, use of mechanical ventilation, vasopressor administration, Barthel index on admission and discharge, and length of hospital stay. Transthoracic echocardiography was undertaken to measure the transtricuspid pressure gradient (TRPG) derived from peak transtricuspid jet velocity by cardiologists, well‐trained attending emergency physicians, and certified ultrasonography technicians.
Statistical analysis
Categorical data were expressed as proportions and continuous data were expressed as median and interquartile range values. The Mann–Whitney U‐test was used to compare continuous variables; Fisher’s exact probability test was used to compare categorical variables. A multivariable logistic regression model was used to examine the dependent variable associated with hypoxia (age, Garden classification [3 or 4], white blood cell [WBC] count, D‐dimer, TRPG). We calculated odds ratios (ORs) derived from the logistic regression model.
spss version 15.0 (Chicago, IL, USA) was used for statistical analysis. P‐values < 0.05 were considered statistically significant.
Results
Incidence and etiology of hypoxia
During the 3‐year study period, 241 patients were admitted to our hospital’s emergency department for femoral neck fractures. After excluding cases with insufficient arterial gas analysis (n = 42) and those under 60 years old (n = 5), 194 cases met the inclusion criteria. Figure 1 shows our study design flow chart. Forty‐six (46) of those elderly patients with neck fractures had hypoxia (23.8%, hypoxia group). One hundred and forty‐eight (148) patients did not have hypoxia (76.2%, non‐hypoxia group). Etiologies of the hypoxia group included pneumonia (three cases, 6.5%), chronic obstructive pulmonary disease (two cases, 4.3%), pulmonary edema (one case, 2.1%), and pulmonary embolization (one case, 2.1%). The etiology of hypoxia in 39 cases (84.7%) remained undetermined. According to Gurd and Wilson criteria (Table 1), 29 of 39 cases (74.4%) matched to the criteria of fat embolism syndrome (FES). 9
Fig. 1.

Study design flow chart. The incidence of hypoxia and non‐hypoxia in elderly neck fracture patients was 46/194 (23.8%) and 148/194 (76.2%), respectively.
Table 1.
Cause of hypoxia in elderly patients with femoral neck fractures in the emergency department (n = 46)
| Hypoxia group (n = 46) | |
|---|---|
| Cause | |
| Pneumonia | 3/46 (6.5) |
| COPD | 2/46 (4.3) |
| Pulmonary edema | 1/46 (2.1) |
| PE | 1/46 (2.1) |
| Undetermined | 39/46 (84.7) |
| Occult FES | 29/39 (74.4) |
| Other | 10/39 (25.6) |
Data are shown as number (%).
COPD, chronic obstructive pulmonary disease; FES, fat embolism syndrome; PE, pulmonary embolism.
Baseline characteristics of hypoxia group
Table 2 shows the demographic and clinical characteristics of the study cohort. Patients in the hypoxia group were statistically older than those in the non‐hypoxia group (88 versus 83 years old). Glasgow Coma Scale scores were lower in the hypoxia group (14 versus 15). Respiratory rate (20 versus 18 breaths/min), and heart rate (85 versus 79 b.p.m.) were higher in the hypoxia group. The number of patients with femoral fractures categorized as Garden 3 or 4 was 42/46 (91.3%) in the hypoxia group and 114/148 (77.0%) in non‐hypoxia group, respectively. Medical history did not differ between the groups. The P/F ratios of the hypoxia group and the non‐hypoxia group were 258 and 363, respectively. The WBC count (10650 versus 8620/μL), D‐dimer level (39.6 versus 16.7 μg/mL), and TRPG (34 versus 20 mmHg) were significantly higher in patients with hypoxia than in the non‐hypoxia patients. Frequency of surgery did not differ between the groups (42/46 [91.3%] versus 143/148 [96.6%]). Time to surgery from admission was longer for hypoxic patients than for non‐hypoxic patients (5 versus 4 days). The period of oxygen therapy was longer for the hypoxia cases than for the non‐hypoxic cases (4 versus 0 days). No patient required mechanical ventilation or vasopressor use. Barthel index scores at discharge were significantly lower in the hypoxia group (40 versus 60), although it was not different on admission (5 versus 10). Hospital length of stay did not differ between the groups (24 versus 26 days).
Table 2.
Characteristics of elderly patients treated for femoral neck fractures (n = 194)
| Non‐hypoxia group (n = 148) | Hypoxia group (n = 46) | P‐value | |
|---|---|---|---|
| Patient characteristics | |||
| Male gender | 38/148 (23.0) | 6/46 (13.0) | 0.105 |
| Age, years | 83 (75–87) | 88 (85–91) | <0.001* |
| Height, cm | 153 (148–158) | 150 (145–155) | 0.005* |
| Weight, kg | 46.9 (40.7–52.5) | 47.3 (43.3–53.7) | 0.303 |
| Region (right) | 72/148 (48.2) | 26/46 (56.5) | 0.400 |
| Garden classification (1 or 2) | 34/148 (23.0) | 4/46 (8.7) | 0.034* |
| Garden 1 | 8/148 (5.4) | 0/46 (0.0) | 0.202 |
| Garden 2 | 26/148 (17.5) | 4/46 (8.6) | 0.168 |
| Garden classification (3 or 4) | 114/148 (77.0) | 42/46 (91.3) | 0.034* |
| Garden 3 | 19/148 (12.8) | 4/46 (8.6) | 0.604 |
| Garden 4 | 95/148 (64.1) | 38/46 (82.6) | 0.019* |
| Fall injury | 148/148 (100.0) | 46/46 (100.0) | 1.000 |
| Blood pressure, mmHg | 155/83 (140–169/71–94) | 147/85 (134–163/75–98) | 0.504/0.132 |
| Glasgow Coma Scale score | 15 (14–15) | 14 (14–14) | 0.003* |
| Respiratory rate, breaths/min | 18 (16–20) | 20 (18–24) | 0.002* |
| Temperature, °C | 36.8 (36.4–37.3) | 37.0 (36.7–37.5) | 0.053 |
| Heart rate, b.p.m. | 79 (70–89) | 85 (75–98) | 0.018* |
| Walking ability | 137/148 (92.3) | 44/46 (95.6) | 0.737 |
| Residential facilities | 58/148 (39.8) | 25/46 (54.3) | 0.088 |
| Hypertension | 103/148 (69.9) | 37/46 (80.4) | 0.188 |
| Diabetes | 32/148 (21.6) | 10/46 (21.7) | 1.000 |
| Cirrhosis | 7/148 (4.8) | 5/46 (10.8) | 0.160 |
| CVD | 28/148 (18.1) | 7/46 (15.2) | 0.665 |
| CHF | 39/148 (26.5) | 9/46 (19.5) | 0.436 |
| Cancer | 33/148 (20.2) | 5/46 (10.8) | 0.094 |
| CKD | 29/148 (18.8) | 8/46 (17.3) | 0.832 |
| Dementia | 62/148 (41.8) | 24/46 (52.1) | 0.238 |
| Home oxygen therapy | 0/148 (0.0) | 2/46 (4.3) | 0.055 |
| History of fracture | 25/148 (17.4) | 7/46 (15.2) | 0.737 |
| Examination | |||
| Total protein, g/dL | 6.7 (6.2–7.1) | 6.5 (6.3–6.8) | 0.317 |
| Albumin, g/dL | 3.7 (3.3–4.0) | 3.6 (3.3–3.9) | 0.340 |
| Red blood cells, 104/μL | 395 (349–424) | 350 (330–393) | 0.441 |
| White blood cells, μL | 8620 (7095–11 035) | 10650 (9470–12 215) | 0.004* |
| Hemoglobin, g/dL | 11.2 (10.8–12.5) | 10.9 (10.0–12.2) | 0.214 |
| Platelets, 104 /μL | 18.5 (15.3–24.8) | 15.7 (12.5–21.7) | 0.196 |
| C‐reactive protein test, mg/dL | 0.21 (0.06–2.39) | 0.21 (0.05–2.51) | 0.571 |
| BUN, mg/dL | 19.0 (13.5–23.9) | 27.0 (14.0–24.9) | 0.645 |
| Serum creatinine, mg/dL | 0.66 (0.53–0.89) | 0.69 (0.55–0.97) | 0.826 |
| eGFR, mL/min | 68.7 (55.2–87.7) | 60.5 (40.2–85.4) | 0.344 |
| Total bilirubin, mg/dL | 0.7 (0.5–0.9) | 0.9 (0.7–1.1) | 0.113 |
| Alkaline phosphatase, U/L | 242 (205–314) | 236 (201–310) | 0.859 |
| Aspartate aminotransferase, U/L | 24 (19–30) | 20 (17–32) | 0.150 |
| Alanine aminotransferase, U/L | 18 (14–23) | 15 (13–19) | 0.027* |
| Amylase, U/L | 75 (54–97) | 82 (61–119) | 0.823 |
| PT, % | 100 (86–105) | 91 (78–99) | 0.070 |
| APTT, sec | 29.8 (27.9–32.2) | 31.0 (29.8–32.3) | 0.193 |
| D‐dimer, μg/mL | 16.7 (7.7–38.7) | 39.6 (21.3–102.5) | 0.001* |
| P/F ratio | 363 (340–401) | 258 (212–280) | <0.001* |
| Lactate, mmol/L | 1.1 (0.9–1.6) | 1.1 (0.9–1.6) | 0.361 |
| BNP, pg/mL | 56.7 (19.1–125.5) | 61.3 (38.0–143.5) | 0.457 |
| Echocardiography | 109/146 (80.1) | 36/46 (78.2) | 0.567 |
| TRPG, mmHg | 20 (4–26) | 34 (25–39) | <0.001* |
| Contrast enhanced CT | 4/146 (2.7) | 21/46 (45.6) | <0.001* |
| Petechiae | 0/148 (0) | 0/46 (0) | N/A |
| Intervention | |||
| Orthopedic surgery | 143/148 (96.6) | 42/46 (91.3) | 0.220 |
| Time to surgery, days | 4 (2–5) | 5 (4–7) | <0.001* |
| Period of oxygen therapy, days | 0 (0–0) | 4 (0–9) | <0.001* |
| Mechanical ventilation | 0/147 (0) | 0/46 (0) | N/A |
| Vasopressor administration | 0/147 (0) | 0/46 (0) | N/A |
| Outcome | |||
| Barthel index score on admission | 10 (5–15) | 5 (0–10) | 0.077 |
| Barthel index score on discharge | 60 (32–75) | 40 (15–60) | 0.004* |
| Hospital stay, days | 26 (18–34) | 24 (18–29) | 0.143 |
Continuous variables are presented as median (interquartile range); categorical variables are shown as frequency (%).
APTT, activated partial thromboplastin time; BNP, brain natriuretic peptide; BUN, blood urea nitrogen; CHF, congestive heart failure; CKD, chronic kidney disease; CT, computed tomography; CVD, cerebrovascular disease; eGFR, estimated glomerular filtration rate; P/F, PaO2 / FiO2; PT, prothrombin time; TRPG, transtricuspid pressure gradient.
P < 0.05 is considered statistically significant. P‐values were calculated using Fisher’s exact probability test or the Mann–Whitney U‐test.
Risk factors associated with hypoxia
In the univariable logistic regression analysis, older age, Garden classification (3 or 4), higher WBC value, higher D‐dimer value, and higher TRPG value were risk factors associated with hypoxia. In the multivariable analysis, age (adjusted OR 1.07; 95% confidence interval [CI], 1.00–1.14; P = 0.038) D‐dimer (adjusted OR 1.02; 95% CI, 1.00–1.03; P = 0.005), and TRPG (adjusted OR 1.03; 95% CI, 1.00–1.07; P = 0.015) were independently associated with hypoxia in patients with femoral neck fractures (Table 3).
Table 3.
Multiple logistic regression analysis of risk factors associated with hypoxia in elderly patients treated for femoral neck fractures
| OR (95% CI) | P‐value | |
|---|---|---|
| Risk factor | ||
| Age | 1.07 (1.00–1.14) | 0.038 |
| Garden classification (3 or 4) | 3.82 (0.72–20.33) | 0.115 |
| WBC | 1.00 (1.00–1.00) | 0.249 |
| D‐dimer | 1.02 (1.00–1.03) | 0.005 |
| TRPG | 1.03 (1.00–1.07) | 0.015 |
Age, Garden classification (3 or 4), white blood cell count (WBC), D‐dimer, and transtricuspid pressure gradient (TRPG) were used to adjust for the outcomes in the multivariable logistic regression.
CI, confidence interval; OR, odds ratio.
Discussion
Although previous studies have reported that many patients with femoral neck fractures are already hypoxemic on admission to hospital, the relationship between hypoxia and femoral neck fractures has not been fully elucidated. 10 Our study determined the incidence of hypoxia among patients with femoral neck fractures in the emergency department was 23.8%, which was a much higher incidence than that found in a previous report by Jin et al. (13.8%). 4 Our study also revealed that elevated age, D‐dimer, and TRPG were independent factors related to hypoxia in multivariate analysis and might suggest the possibility of additional multiple pathologies, including anatomical and physiological changes by aging, post‐traumatic pulmonary microthromboembolism, FES, and damage‐associated molecular patterns. However, in 84.7% of hypoxic patients, the cause of hypoxia could not be fully determined in our study.
Aging can cause anatomical and physiological changes in the respiratory system. After age 75 years, arterial oxygen tension gradually declines to 83 mmHg, approximately equivalent to a P/F ratio of 395. 11 In our study, the P/F ratio in the non‐hypoxia group was close to the physiologically aged P/F (363 versus 395); moreover, the P/F of the hypoxia group was significantly lower than that of the normal population (258 versus 395; 192 of 194 patients did not need home oxygen therapy before administration). It seems that hypoxia cannot be fully explained only by deteriorated respiratory function due to aging.
Severe adult respiratory distress syndrome or mechanical obstruction of the pulmonary artery flow might be associated with D‐dimer and TRPG. 12 , 13 We undertook contrast enhanced CT for 17 of 39 cases with undetermined hypoxia, however, the cause of hypoxia could not be determined. Hypoxia improved without the use of anticoagulant therapy in all undetermined hypoxia cases regardless of the use of contrast enhanced CT, suggesting that pulmonary microembolization might not be the main cause in undetermined hypoxia cases.
Another possible pathology of hypoxia in patients with undetermined reason could be occult FES. According to two major Gurd and Wilson criteria (hypoxia and altered mentality), 29 of 39 cases were matched to FES diagnostic criteria (Table 1). 9 In our study, the Glasgow Coma Scale score was 14 in 23 of 29 cases and it might be difficult to distinguish the major criteria of FES from delirium or dementia in elderly populations. However, Lindeque et al. reported that FES can be diagnosed only on the basis of respiratory parameters. 14 In fact, Aggarwal et al. described 10 of 10 patients who presented with hypoxia. 15 Based on criteria established in the 1970s, FES is diagnosed by the exclusion of other diseases and the presence of characteristic signs and symptoms with an underlying cause without an objective standard parameter, including laboratory and/or imaging findings. 15
Hypoxia with major trauma‐induced acute respiratory distress syndrome or acute lung injury is a well‐known concept. 16 , 17 Damage‐associated molecular patterns caused by fractures induce local and systemic inflammation with neutrophil activation and release of cytokines, leading to indirect lung injury in experimental animal models. 16 , 18 Therefore, femoral neck fractures might induce lung damage and, subsequently, hypoxia.
Hypoxia in femoral neck fracture patients during the perioperative period might delay healing after the surgical repair, as it influences low Barthel indexes on discharge. Following bone fracture, bone and soft tissue are ruptured, damaging the blood vessels. Blood and bone marrow cells ingress and are disturbed from the nutrient and oxygen supply at the injury site. 19 This process leads to hypoxia in the local tissue and an inflammatory reaction, which is a determining factor of fracture‐healing outcomes. 19 Hypoxia itself reduces the oxygen supply in local tissue.
This study has several limitations. First, it was a single‐center, retrospective, observational design with a small number of patients with femoral neck fractures included in the analysis. Second, this study was undertaken in a single medical institution, so there were issues with expenses and requests for laboratory tests and images, depending on the treating physicians. Additionally, arterial gas analysis, echography, and contrast enhanced CT were based on the preference of the attending physician. Finally, we were unable to access medical records following patient discharge. Further multicenter studies with a prospective design could be needed to unravel further pathologies for hypoxia, as elderly populations are at increased risk for fragility fractures.
Conclusion
In this retrospective analysis, we found that hypoxia with femoral neck fracture was commonly encountered in elderly patients in the emergency department. Elderly hypoxic patients with femoral neck fractures were associated with increased age, D‐dimer level, and TRPG. Elevated levels of D‐dimer and TRPG might suggest additional pathologies, which could need further evaluation as potential causes of hypoxia in elderly patients with neck fractures in the emergency department.
Disclosure
Approval of research protocol: The study was approved by the ethics committee of our institution (Committee of Okayama Saiseikai General Hospital, ID: 200101).
Informed consent: Informed consent was waived.
Registration and registration no. of the study/trial: Registration no. 200101.
Animal studies: N/A.
Conflict of interest: None.
Acknowledgments
This study was partially supported by JSPS KAKENHI (grant number JP 18K08887). The authors thank Christine Burr for editing the manuscript.
Funding Information
This study was partially supported by the Japan Society for the Promotion of Science KAKENHI (grant number JP 18K08887).
References
- 1. Johnell OKJ. An estimate of the worldwide prevalence and disability associated with osteoporotic fractures. Osteoporos. Int. 2006; 17: 1726–33. [DOI] [PubMed] [Google Scholar]
- 2. Smektala R, Endres HG, Dasch B, et al The effect of time‐to‐surgery on outcome in elderly patients with proximal femoral fractures. BMC Musculoskelet Disord. 2008; 9: 1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Flikweert ER, Wendt KW, Diercks RL, et al Complications after hip fracture surgery: are they preventable? Eur. J. Trauma Emerg. Surg. 2018; 44: 573–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Jin J, Wang G, Gong M, Zhang H, Liu J. Retrospective comparison of the effects of epidural anesthesia versus peripheral nerve block on postoperative outcomes in elderly chinese patients with femoral neck fractures. Clin. Interv. Aging. 2015; 10: 1223–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Roupie E, Lepage E, Wysocki M, et al Prevalence, etiologies and outcome of the acute respiratory distress syndrome among hypoxemic ventilated patients. Intensive Care Med. 1999; 25: 920–9. [DOI] [PubMed] [Google Scholar]
- 6. Mandell LA. Community‐acquired pneumonia: an overview. Postgrad. Med. 2015; 127: 607–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Long B, Koyfman A, Gottlieb M. Diagnosis of acute heart failure in the emergency department: an evidence‐based review. West J. Emerg. Med. 2019; 20: 875–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Yang S, Wang J, Kuang T, et al Efficacy and safety of bronchial artery embolization on hemoptysis in chronic thromboembolic pulmonary hypertension: a pilot prospective cohort study. Crit. Care Med. 2019; 47: e182–e189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Gurd AR. Fat embolism: an aid to diagnosis. Bone Jt Surg. Br. 1970; 52: 732–7. [PubMed] [Google Scholar]
- 10. Martin VC. Hypoxaemia in elderly patients suffering from fractured neck of femur. Anaesthesia 1977; 32: 852–67. [DOI] [PubMed] [Google Scholar]
- 11. Alvis BD, Hughes CG. Physiology considerations in the geriatric patient. Anesth. Clin. 2015; 33: 447–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Brotfain E, Koyfman L, Kutz R, et al Use of early inhaled nitric oxide therapy in fat embolism syndrome to prevent right heart failure. Case Reports Crit. Care. 2014; 2014: 1–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Shah TG, Wadia SK, Kovach J, Fogg L, Tandon R. Echocardiographic parameters of right ventricular function predict mortality in acute respiratory distress syndrome: A pilot study. Pulm. Circ. 2016; 6: 155–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Lindeque BG, Schoeman HS, Dommisse GF, Boeyens MC, Vlok AL. Fat embolism and the fat embolism syndrome. A double‐blind therapeutic study. J. Bone Jt Surg. Br. 1987; 69: 128–31. [DOI] [PubMed] [Google Scholar]
- 15. Aggarwal R, Banerjee A, Soni KD, Kumar A, Trikha A. Clinical characteristics and management of patients with fat embolism syndrome in level I Apex Trauma Centre. Chinese J. Traumatol. 2019; 22: 172–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Balogh ZJ, Reumann MK, Gruen RL, et al Advances and future directions for management of trauma patients with musculoskeletal injuries. Lancet 2012; 380: 1109–19. [DOI] [PubMed] [Google Scholar]
- 17. Tignanelli CJ, Hemmila MR, Rogers MAM, Raghavendran K. Nationwide cohort study of independent risk factors for acute respiratory distress syndrome after trauma. Trauma Surg. Acute Care Open 2019; 4: 1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Kurt A, Turut H, Acipayam A, et al Investigation of surfactant protein‐D and interleukin‐6 levels in patients with blunt chest trauma with multiple rib fractures and pulmonary contusions: A cross‐sectional study in Black Sea Region of Turkey. BMJ Open. 2016; 6: 1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Kolar P, Gaber T, Perka C, Duda GN, Buttgereit F. Human early fracture hematoma is characterized by inflammation and hypoxia. Clin. Orthop. Relat. Res. 2011; 469: 3118–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
