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. 2020 Apr 1;102(9):750–758. doi: 10.2106/JBJS.20.00390

Characteristics and Early Prognosis of COVID-19 Infection in Fracture Patients

Bobin Mi 1, Lang Chen 1, Yuan Xiong 1,b, Hang Xue 1, Wu Zhou 1,a, Guohui Liu 1,c
PMCID: PMC7219849  PMID: 32379114

Abstract

Background:

Studies of the novel coronavirus-induced disease COVID-19 in Wuhan, China, have elucidated the epidemiological and clinical characteristics of this disease in the general population. The present investigation summarizes the clinical characteristics and early prognosis of COVID-19 infection in a cohort of patients with fractures.

Methods:

Data on 10 patients with a fracture and COVID-19 were collected from 8 different hospitals located in the Hubei province from January 1, 2020, to February 27, 2020. Analyses of early prognosis were based on clinical outcomes and trends in laboratory results during treatment.

Results:

All 10 patients presented with limited activity related to the fracture. The most common signs were fever, cough, and fatigue at the time of presentation (7 patients each). Other, less common signs included sore throat (4 patients), dyspnea (5 patients), chest pain (1 patient), nasal congestion (1 patient), headache (1 patient), dizziness (3 patients), abdominal pain (1 patient), and vomiting (1 patient). Lymphopenia (<1.0 × 109 cells/L) was identified in 6 of 10 patients, 9 of 9 patients had a high serum level of D-dimer, and 9 of 9 patients had a high level of C-reactive protein. Three patients underwent surgery, whereas the others were managed nonoperatively because of their compromised status. Four patients died on day 8 (3 patients) or day 14 (1 patient) after admission. The clinical outcomes for the surviving patients are not yet determined.

Conclusions:

The clinical characteristics and early prognosis of COVID-19 in patients with fracture tended to be more severe than those reported for adult patients with COVID-19 without fracture. This finding may be related to the duration between the development of symptoms and presentation. Surgical treatment should be carried out cautiously or nonoperative care should be chosen for patients with fracture in COVID-19-affected areas, especially older individuals with intertrochanteric fractures.

Level of Evidence:

Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence.


Since December 2019, a new coronavirus disease, COVID-19, has been spreading in China, particularly in the city of Wuhan, Hubei province. Several studies have identified common characteristics of COVID-19-associated pneumonia, including epidemiological, demographic, clinical, laboratory, radiographic, and treatment data1-5. The severe acute respiratory syndrome coronavirus (SARS-CoV-2) has been classified as the β-coronavirus 2b lineage and has characteristics typical of the coronavirus family6. A recent study demonstrated that SARS-CoV-2 is very similar to another coronavirus carried by bats, leading to speculation that the novel virus may be hosted in bats7. Current evidence suggests that wild animals illegally traded in the Huanan Seafood Wholesale Market were the likely culprit of the spread of the virus among humans8.

It is well established that patients with fractures are susceptible to pulmonary infection, especially those with lower-limb fracture and limited ambulatory capacity9. It has been reported that COVID-19 infections are clustered within groups of individuals in close contact in places such as supermarkets, public transportation, and hospitals10. Patients with severe fractures often require hospitalization and surgical treatment, making this population susceptible to COVID-19 infection. Thus, the question arises concerning the best medical practices for patients who have both fracture and COVID-19 infection at the time of presentation. There is an urgent need to determine whether patients with fracture who are affected by COVID-19 have a higher risk of mortality because of the infection. The purpose of the present retrospective study was to analyze the clinical data for 10 hospitalized patients with both a fracture and COVID-19 infection and to identify the most appropriate management strategy.

Materials and Methods

Study Design and Participants

A retrospective review of the medical records of 10 patients with both a bone fracture and COVID-19 infection was performed. The patients were admitted to Wuhan Union Hospital, Wuhan General Hospital of Guangzhou Military Command, Hubei Hospital of Traditional Chinese Medicine, Dongxihu District People’s Hospital of Wuhan City, Wuhan Pu’ai Hospital, Hanyang University Hospital, Taihe Hospital of Shiyan City, and Ezhou Central Hospital between January 1, 2020, and February 27, 2020. COVID-19 was diagnosed in accordance with the New Coronavirus Pneumonia Prevention and Control Program, 6th edition, published by the National Health Commission of China11. Importantly, to eliminate the potential missed cases of COVID-19, clinical diagnosis was added in the 5th edition of the New Coronavirus Pneumonia Prevention and Control Program, which stipulated that a suspected case with an evident radiological manifestation should be identified as a confirmed case of COVID-1912. Six of the 10 patients were positive for SARS-CoV-2 on the basis of quantitative reverse transcription polymerase chain reaction (qRT-PCR) of throat swab samples. Of the remaining 4 patients, 3 had a negative result and 1 did not receive the qRT-PCR test during her hospitalization. All patients presented with clear evidence of viral pneumonia on computed tomography (CT) scans. Informed consent was obtained from all participants before enrollment in the study.

Data Collection

Primary data included clinical characteristics, signs and symptoms, results of laboratory tests, evidence of COVID-19 infection, treatment, and clinical outcome. The medical records were provided by the 8 participating hospitals and were analyzed at the Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, with use of a customized data-collection form. Throat swab samples were obtained from patients who were identified as having a suspected COVID-19 infection and were analyzed by qRT-PCR with use of a kit recommended by the Chinese Center for Disease Control and Prevention (CDC) according to the World Health Organization (WHO) guidelines. Total RNA was extracted from throat swabs with use of the RNA isolation kit (Zhongzhi) and was reverse-transcribed with use of the One Step RT-PCR Kit (Takara). Primers were designed on the basis of the Wuhan-Hu-1 sequence (MN908947) to amplify part of the sequence of the S segment (nt 21730-22458). The primer sequences were 5′-CTCAGGACTTGTTCTTACCTT-3′ and 5′-CAAGTGCACAGTCTACAGC-3′. The clinical outcomes were assessed at the follow-up examination on February 27, 2020.

Statistical Analysis

SPSS software (version 23.0; IBM) was used for statistical analysis of primary data. Categorical variables are presented as the median and interquartile range or as the number and percentage. Diagrams of curves were drawn with use of Prism (version 8.3; GraphPad).

Results

The 10 patients (8 women and 2 men) ranged from 34 to 87 years of age (Table I). All of the fractures had been caused by accidents. Nine of the 10 patients had sustained the fracture in a low-velocity accident, and 1 patient (Case 9) had sustained the fracture as well as a brain injury as the result of a high-velocity (traffic) accident (see Appendix Table I). Seven of the 10 patients had a nosocomial infection, whereas 3 patients had contracted COVID-19 before admission to the hospital for the treatment of the fracture. The orthopaedic diagnosis was based on a radiograph or 3-dimensional CT scan (Fig. 1). Nine of the 10 patients were exposed to SARS-CoV-2 either by contact with an infected individual or by direct exposure in a contagious environment. Three patients had osteoporosis along with an underlying disease such as hypertension, diabetes, and chronic obstructive pulmonary disease (COPD). Three patients (Cases 1, 4, and 7) did not exhibit severe symptoms or have obvious evidence of the disease on CT scans on admission and therefore underwent a surgical procedure; fever and fatigue signs were observed after the operation.

Fig. 1.

Fig. 1

Figs. 1-A through 1-J CT scans and radiographs showing the fractures in the present study. Fig. 1-A Case 1. Preoperative CT scan showing an intertrochanteric fracture and postoperative radiograph. Fig. 1-B Case 2. Preoperative radiograph showing a femoral fracture. Fig. 1-C Case 3. Preoperative CT scan showing a lumbar fracture. Fig. 1-D Case 4. Preoperative and postoperative radiographs for a patient with a femoral neck fracture. Fig. 1-E Case 5. Preoperative radiograph showing an intertrochanteric fracture. Fig. 1-F Case 6. Preoperative CT scan showing an intertrochanteric fracture. Fig. 1-G Case 7. Preoperative and postoperative radiographs for a patient with an intertrochanteric fracture. Fig. 1-H Case 8. Preoperative CT scan showing a fracture of the radius. Fig. 1-I Case 9. Preoperative radiograph showing an intertrochanteric fracture. Fig. 1-J Case 10. Preoperative CT scan showing a thoracolumbar fracture.

TABLE I.

Clinical Characteristics of 10 Patients with Fracture*

Case 1 Case 2 Case 3 Case 4 Case 5 Case 6 Case 7 Case 8 Case 9 Case 10 Total No. of Patients with Finding
Clinical characteristics
 Sex, age (yr) F, 50 F, 34 F, 87 F, 79 F, 80 F, 84 M, 76 F, 55 M, 85 F, 54
 Date of admission Jan 2, 2020 Jan 31, 2020 Jan 13, 2020 Jan 19, 2020 Jan 20, 2020 Jan 30, 2020 Jan 17, 2020 Feb 3, 2020 Jan 16, 2020 Feb 12, 2020
 Orthopaedic diagnosis Intertrochanteric fracture Femoral fracture Lumbar fracture Femoral neck fracture Intertrochanteric fracture Intertrochanteric fracture Intertrochanteric fracture Fracture of radius Intertrochanteric fracture Thoracolumbar fracture
 Epidemiological history Yes (exposure to relevant environment) Yes (exposure to relevant environment) Yes (exposure to relevant environment) Yes (exposure to relevant environment) Yes (exposure to relevant environment) Yes (contact with infected person) Yes (exposure to relevant environment) Yes (exposure to relevant environment) No Yes (exposure to relevant environment) 9
 Complications Hypertension, diabetes No COPD, osteoporosis Osteoporosis Hypertension, diabetes, CAHD Hypertension, osteoporosis Cirrhosis, Alzheimer disease No Brain injury Hypertension, diabetes
 Orthopaedic operation Jan 9, 2020 No No Jan 21, 2020 No No Jan 20, 2020 No No No 3
Signs and symptoms
 Fever Yes No No Yes Yes Yes Yes No Yes Yes 7
 Cough Yes No No Yes Yes Yes Yes Yes Yes No 7
 Fatigue Yes No No No Yes Yes Yes Yes Yes Yes 7
 Sore throat No No No No Yes No Yes Yes Yes No 4
 Dyspnea Yes No Yes No Yes No Yes No Yes No 5
 Chest pain No No No No Yes No No No No No 1
 Nasal congestion No No No No Yes No No No No No 1
 Headache No No No No Yes No No No No No 1
 Dizziness No No No No Yes Yes No Yes No No 3
 Diarrhea No No No No No No No No No No 0
 Abdominal pain No No Yes No No No No No No No 1
 Vomiting No No Yes No No No No No No No 1
 Limited activity Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 10
Laboratory test results
 White blood-cell count (×109/L) 13.45 (↑↑) 4.93 21.9 (↑↑) 12.37 (↑↑) 6.43 6.95 9.6 4.23 11.27 (↑↑) 5.21 4
 Neutrophil count (×109/L) 11.25 (↑↑) 3.7 20.4 (↑↑) 11.45 (↑↑) 5.24 4.98 7.48 3.04 10.06 (↑↑) 3.6 4
 Lymphocyte count (×109/L) 1.44 0.83 (↓↓) 0.8 (↓↓) 0.59 (↓↓) 0.47 (↓↓) 1.11 1.48 0.93 (↓↓) 0.46 (↓↓) 1.09 6
 Monocyte count (×109/L) 0.58 0.33 0.8 (↑) 0.33 0.5 0.85 (↑) 0.64 (↑) 0.24 0.72 (↑) 0.33 4
 Platelet count (×109/L) 213 157 144 153 291 178 NA 189 106 (↓) 167 1
 APTT (s) 146.7 (↑) 26.4 (↓) 38.3 31.2 30.3 31.76 32.2 29.8 35.5 38.5 1, 1
 PT (s) 75.9 (↑) 12.4 13.9 10.3 (↓) 12.2 12.95 13.9 10.4 (↓) 13.4 12.8 1, 2
 D-dimer (mg/L) 5.32 (↑) NA 12.45 (↑) 12.45 (↑) 2.35 (↑) 5.23 (↑) 1,622 (↑) 1,155 (↑) 17.02 (↑) 6.73 (↑) 9
 Albumin (g/L) 28.7 (↓) 33.9 (↓) 34 (↓) 39.8 33.4 (↓) 33.8 (↓) 28.4 (↓) 38.6 37.1 40.6 6
 ALT (U/L) 0 20 15 15 10 42 (↑) 15 5 18 36 (↑) 2
 AST (U/L) 12 46 (↑) 35 29 21 64 (↑) 38 20 27 33 2
 Total bilirubin (μmol/L) 7.7 9.1 18.8 6.8 9.2 14 41.8 (↑) 10 10.3 18 1
 Blood urea nitrogen (mmol/L) 13.44 (↑) 5.43 18.8 (↑) 6.0 2.98 10.68 (↑) 17.79 (↑) 3.8 6.8 3.19 4
 Creatinine (μmol/L) 419.3 (↑) 42 (↓) 298 (↑) 42 (↓) 136 (↑) 104 78 37 (↓) 88 55.5 3, 3
 Procalcitonin (ng/mL) NA 0.009 19.05 (↑) 0.219 (↑) 0.15 (↑) 0.74 (↑) 0.23 (↑) NA 2.35 (↑) 0.41 (↑) 7
 C-reactive protein (mg/L) 156.9 (↑) 6.8 (↑) 33 (↑) 96 (↑) 18.9 (↑) 14.5 (↑) NA 13.12 (↑) 16.4 (↑) 11.4 (↑) 9
Evidence of COVID-19
 SARS-CoV-2 quantitative RT-PCR Negative Negative NA Positive Negative Positive Positive Positive Positive Positive 6
 Typical signs of viral infection on CT Bilateral Unilateral Bilateral Bilateral Bilateral Bilateral Bilateral Bilateral Bilateral Bilateral 10
Treatment
 Oxygen inhalation Yes No Yes Yes Yes Yes Yes Yes Yes Yes 9
 Antiviral therapy Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 10
 Antibacterial therapy Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 10
 Intravenous immunoglobulin therapy Yes No No No Yes No Yes No No No 3
 Glucocorticoid therapy Yes No No Yes No Yes No No Yes No 4
 CKRT Yes No No No No No No No No No 1
 NIV No No Yes No Yes No Yes No No No 3
 IMV No No No No No No No No No No 0
 ECMO No No No No No No No No No No 0
Co-infection Coxsackie virus No No Epstein-Barr virus No No Candida No No No 3
Clinical outcome Remained in hospital Remained in hospital Died on Jan 21, 2020 Remained in hospital Remained in hospital Died on Feb 7, 2020 Died on Jan 31, 2020 Remained in hospital Died on Jan 24, 2020 Remained in hospital
*

COPD = chronic obstructive pulmonary disease, CAHD = coronary atherosclerosis heart disease, CKRT = continuous kidney replacement therapy, NIV = noninvasive ventilation, IMV = invasive mechanical ventilation, ECMO = extracorporeal membrane oxygenation, NA = not available.

White blood-cell count: normal range, 3.5 to 9.5 × 109/L, (↑↑) indicates leukocytosis (>10.0 × 109/L). Neutrophil count: normal range, 1.8 to 6.3 × 109/L, (↑↑) indicates neutrophilic granulocytosis (>7.5 × 109/L). Lymphocyte count: normal range, 1.1 to 3.2 × 109/L, (↓↓) indicates lymphopenia (<1.0 × 109/L). For the remaining laboratory values, the normal ranges are as follows: monocyte count, 0.1 to 0.6 × 109/L; platelet count, 125 to 350 × 109/L; APTT, 28.0 to 43.5 s; PT, 11.0 to 16.0 s; D-dimer, <0.5 mg/L FEU (fibrinogen equivalent units); albumin, 35 to 55 g/L; alanine aminotransferase (ALT), 5 to 35 U/L; aspartate aminotransferase (AST), 8 to 40 U/L; total bilirubin, 5.1 to 19.0 μmol/L; blood urea nitrogen, 2.9 to 8.2 mmol/L; creatinine, 44.0 to 106.0 μmol/L; procalcitonin, <0.05 ng/mL; C-reactive protein, 0 to 5 mg/L. For those values, (↑) or (↓) indicates an increase or decrease compared with the normal level.

Given the presence of fracture, all patients had limited function on the injured side. Seven patients each (70%) reported fever, cough, and fatigue; 4 (40%) had a sore throat; 5 (50%) presented with dyspnea; and 3 (30%) had dizziness. One patient (Case 5) (10%) reported chest pain, nasal congestion, and headache, and 1 patient (Case 3) (10%) reported abdominal pain and vomiting. No patient presented with diarrhea.

The results of laboratory tests are also shown in Table I. Four patients had leukocytosis (>10.0 × 109 cells/L), and 6 had lymphopenia (<1.0 × 109 cells/L). Additionally, 4 patients had neutrophilic granulocytosis (>7.5 × 109 cells/L) and 4 patients had an increased count of monocytes (>0.6 × 109 cells/L). Blood coagulation assays showed normal activated partial thromboplastin time (APTT) in 8 patients (80%) and normal prothrombin time (PT) in 7 patients (70%). However, because of limited activity, 9 (100%) of 9 patients had an abnormal level of D-dimer, which reached 1,155 mg/L in 1 case. Six (60%) of 10 patients had a low level of albumin because of their poor condition. Most patients had normal levels of alanine aminotransferase (ALT) (8 patients; 80%), aspartate aminotransferase (AST) (8 patients; 80%), total bilirubin (9 patients; 90%), and blood urea nitrogen (6 patients; 60%). The level of creatinine was higher than normal in 3 patients and lower than normal in 3 patients. Seven (88%) of 8 patients had an elevated procalcitonin concentration, and 9 (100%) of 9 patients had a high level of C-reactive protein. While only 6 patients (60%) tested positive for SARS-CoV-2, CT imaging demonstrated unilateral or bilateral patchy consolidation or ground-glass opacities in all patients (Fig. 2). Therefore, according to the New Coronavirus Pneumonia Prevention and Control Program (6th edition), all patients were considered or highly suspected to have COVID-19. The timing of typical signs of viral infection on CT scans (discrete ground-glass opacities in specific areas of the lung) and the timing of relevant positive SARS-CoV-2 qRT-PCR tests are listed in Appendix Table I. The detailed changes in routine blood test results, coagulation function, blood biochemistry, and infection-related biomarkers were collected starting from the date of admission (Figs. 3 and 4).

Fig. 2.

Fig. 2

Figs. 2-A through 2-J Chest CT scans for all 10 patients. All patients but 1 had bilateral patchy consolidation and multiple ground-glass opacities. The remaining patient (Case 2) had ground-glass opacities on the right side. Fig. 2-A Case 1. Fig. 2-B Case 2. Fig. 2-C Case 3. Fig. 2-D Case 4. Fig. 2-E Case 5. Fig. 2-F Case 6. Fig. 2-G Case 7. Fig. 2-H Case 8. Fig. 2-I Case 9. Fig. 2-J Case 10.

Fig. 3.

Fig. 3

Line graphs illustrating detailed changes in routine blood test results and coagulation function for all 10 patients, starting on the day of disease onset (Case 1) or the day of admission (Cases 2 through 9). The normal ranges of laboratory test results are as follows: white blood-cell count, 3.5 to 9.5 × 109/L; neutrophil count, 1.8 to 6.3 × 109/L; lymphocyte count, 1.1 to 3.2 × 109/L; monocyte count, 0.1 to 0.6 × 109/L; platelet count, 125 to 350 × 109/L; hemoglobin, 115 to 150 g/L; APTT, 28.0 to 43.5 s; PT, 11.0 to 16.0 s; D-dimer, <0.5 mg/L FEU (fibrinogen equivalent units).

Fig. 4.

Fig. 4

Line graphs showing detailed changes of blood biochemistry and infection-related biomarkers for all 10 patients, starting from disease onset (Case 1) or the day of admission (Cases 2 through 9). The normal ranges of laboratory test results are as follows: albumin, 35 to 55 g/L; alanine aminotransferase (ALT), 5 to 35 U/L; aspartate aminotransferase (AST), 8 to 40 U/L; total bilirubin, 5.1 to 19.0 μmol/L; blood urea nitrogen, 2.9 to 8.2 mmol/L; creatinine, 44.0 to 106.0 μmol/L; procalcitonin, <0.05 ng/mL; C-reactive protein, 0 to 5 mg/L.

Nine (90%) of the 10 patients were managed with supplemental oxygen. All patients received antiviral therapy (oseltamivir) and antibacterial therapy (moxifloxacin). Additionally, 3 patients (30%) were managed with intravenous immunoglobulin, 3 patients were subjected to noninvasive ventilation, and 4 patients (40%) received glucocorticoids. One patient (Case 1) was managed with continuous kidney replacement therapy as she was diagnosed with decompensation of diabetic nephropathy during hospitalization. Because of the local limitations in medical technology and sudden worsening of the condition, invasive mechanical ventilation and extracorporeal membrane oxygenation were not utilized in these cases. Four patients (Cases 3, 6, 7, and 9) died on days 8, 8, 14, and 8, respectively, after admission. The remaining 6 patients remained in the hospital for further treatment. The clinical outcomes for surviving patients are not yet determined.

Discussion

The current study presents the clinical data for 10 patients with a fracture who were diagnosed with COVID-19 pneumonia. Previous investigations have documented that the clinical characteristics of patients with both a fracture and pneumonia were more serious than those of patients with only a fracture. As of February 27, 2020, of the 10 patients in the current analysis, 4 patients (Cases 3, 6, 7, and 9) had died and 3 others (Cases 1, 4, and 5) had developed severe pneumonia. These findings indicate that the development of COVID-19 pneumonia in patients with fracture can lead to severe adverse outcomes and increase mortality.

Patients with open fractures or severe injuries who are admitted to the orthopaedic trauma department require emergency surgery13,14. At the same time, most patients with hip fracture are older, many are in relatively poor physical condition, and many have underlying diseases such as hypertension, diabetes, or heart disease15,16. Such patients generally are advised to undergo surgical treatment as soon as possible. This approach not only promotes fracture-healing and facilitates recovery of mobility but also reduces various complications, such as the onset of pneumonia and deep-vein thrombosis17. If surgical treatment is not possible, these patients must remain in bed for 8 to 12 weeks, and, because of pain and the use of traction, most have to lie flat without being able to roll over, let alone stand. The stress associated with the fracture and surgical treatment can trigger a series of oxidative stress responses and excessive inflammation18. These reactions upregulate the expression of a series of inflammatory factors and decrease the immunity of the patients, increasing the likelihood of pneumonia19. Postoperative pulmonary complications have been reported to occur in 4.9% of patients after the surgical treatment of a hip fracture20. Wong et al. reported the case of an 81-year-old woman with an intertrochanteric fracture and SARS who died 7 days after surgery21. In the present study, 1 patient (Case 7) died 11 days after surgery and 3 patients (Cases 3, 6, and 9) died 8 days after admission without surgery being performed. Considering the high mortality of patients with COVID-19, surgical treatment for patients with both a fracture and COVID-19 should be carefully planned in advance. Furthermore, particular attention should be given to such patients after the surgical treatment of the fracture because of possibility of rapid deterioration of their condition.

In the present study, the common symptoms of patients with a fracture and COVID-19 pneumonia were similar to those in patients with COVID-19 but without a fracture. Laboratory tests suggested that lymphopenia was more likely to occur in patients with a fracture. Additionally, compared with the data in published articles on COVID-19, the median neutrophil count and D-dimer were higher than the upper normal limits of the corresponding indicators, which could represent the special laboratory characteristics of fractures in patients with COVID-19 (see Appendix Table II). qRT-PCR demonstrated that 3 patients (Cases 1, 2, and 5) were negative for the COVID-19 nucleic acid, whereas CT scans of the chest showed typical images of viral infection in all patients.

The present study documented that patients with a fracture may be at a higher risk of COVID-19 pneumonia. Seven of the 10 patients had a nosocomial infection. It is therefore essential to adopt strict infection-control measures. SARS-CoV-2 is thought to be transmitted directly by contact or by aerosol. Doctors, nurses, patients, and families should be wearing protective devices such as an N95 respirator and goggles.

On the basis of the current investigation, 4 major strategies for patients with a fracture and COVID-19 pneumonia can be proposed. First, nonoperative treatment should be considered for older patients with fractures, such as distal radial fractures, in endemic areas. Second, strict infection-control measures should be implemented for patients with fractures, particularly those undergoing surgical treatment. Third, patients with a fracture and COVID-19 pneumonia should be given more intensive surveillance and treatment. Fourth, surgical treatment for patients with a fracture and COVID-19 pneumonia should be performed in a negative-pressure operating room.

In summary, the symptoms of patients with a fracture with COVID-19 disease were diverse, with cough, fatigue, and fever being the main signs. Older patients with a hip fracture are at a higher risk of death. Future studies on the clinical characteristics of patients who have both a fracture and COVID-19 are essential to provide guidance for treatment in these rare cases.

Appendix

Supporting material provided by the authors is posted with the online version of this article as a data supplement at jbjs.org (http://links.lww.com/JBJS/F821).

Acknowledgments

Note: The views expressed in this article are those of the authors and do not represent the official policy of the China CDC. The authors thank Ximing Liu, Meng Zhao, Ming Chen, Zhonghua Guo, Chengjian He, Zheng Luo, Yaming Li, Dong Chen, Weixin Shi, and Yanzhen Qu for assistance with data collection.

Footnotes

*

Bobin Mi, MD, PhD, and Lang Chen, MD, contributed equally to this work.

Investigation performed at the Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China

Disclosure: This work was supported by the National Science Foundation of China (No. 81772345), National Key Research & Development Program of China (No. 2018YFC2001502, 2018YFB1105705), National Health Commission of the People’s Republic of China (No. ZX-01-018, ZX-01-C2016153), and the Health Commission of Hubei Province (No. WJ2019Z009). The Disclosure of Potential Conflicts of Interest forms are provided with the online version of the article (http://links.lww.com/JBJS/F820).

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Articles from The Journal of Bone and Joint Surgery. American Volume are provided here courtesy of Wolters Kluwer Health

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