Clinical Features and Etiology of Musculoskeletal Infection with or without Sepsis in the Emergency Department.

BACKGROUND: Musculoskeletal infection (MSKI) is a common reason to seek medical care in the emergency department (ED). We aimed to determine the clinical characteristics and etiology of patients with MSKI in our ED, the characteristics of MSKI with sepsis, and the predictors of death in sepsis patients.
METHODS: The study retrospectively analyzed patients with MSKI from April 1, 2017, to March 31, 2021. The patients were divided into non-sepsis and sepsis groups. Clinical data of these patients including their basic information, laboratory results, diagnostic results, and outcomes were collected. Statistical analysis was carried out using GraphPad Prism 5.
RESULTS: In all, 106 patients (70 male, 36 female) were enrolled in this study: 43 MSKI patients with sepsis and 63 MSKI patients without sepsis. Five patients with sepsis died. The patients' age and sex ratio were no significantly different between the sepsis and non-sepsis groups. In the sepsis group, the ratio of rheumatic diseases, diabetes, coronary heart disease, and deep vein thrombosis was significantly different than that in the non-sepsis group (all p<0.05). Fifty-six patients (54.37%) had positive etiology results. Staphylococcus, streptococcus, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Escherichia coli were the most common bacteria found in both groups, but sepsis patients had more Candida albicans infections than non-sepsis patients (p=0.0331, p<0.05). The five patients who died in the sepsis group had higher serum levels of creatinine and procalcitonin (PCT). Multivariate logistic regression analyses showed that PCT (p=0.026; odds ratio, 1.038) was significantly related to mortality.
CONCLUSION: In MSKI patients, rheumatic diseases, diabetes, coronary heart disease, and deep vein thrombosis are the risk factors for sepsis. Staphylococcus, streptococcus, K. pneumoniae, P. aeruginosa, and E. coli were the most common bacteria in MSKI patients, while MSKI patients with sepsis had more C. albicans infections. Elevated PCT was significantly related to death in sepsis patients.

Introduction

Musculoskeletal infection (MSKI) is a common reason to seek medical care in the emergency department (ED). MSKI can present in many forms, depending on the involvement of the various soft-tissue layers, bones, and joints. Infection may manifest as cellulitis, necrotizing fasciitis, pyomyositis, myositis, osteomyelitis, or septic arthritis. It was estimated that MSKI develops in approximately 1.98 million patients every year in the emergency department in the United States, most of whom are diagnosed with cellulitis or a soft-tissue abscess.1 Various reasons including can lead to MSKI. One of the most important features of treating MSKI is the requirement of a multidisciplinary approach including orthopedic surgeons, infectious disease doctors, radiologists, emergency room physicians, and nurses.2 If the MSKI is misdiagnosed and left untreated, the patient’s condition can deteriorate to sepsis, septic shock, and even death.3

Our Xiangya Hospital of Central South University is a Class-A Grade-3 (top level in China) general hospital under the direct supervision of the National Health Commission and an affiliated hospital of the Central South University directly under the Ministry of Education. It is an important center for clinical care, medical education, and scientific and technological innovation in China. Our hospital services 100–200 million people across several provinces in southern China; therefore, the patients who seek treatment in Xiangya Hospital typically present with serious illnesses.

The aim of the present study was to determine the clinical characteristics and etiology of patients with MSKI in our ED, and to determine the characteristics of MSKI with sepsis and the predictors of death in sepsis patients.

Methods

The study retrospectively analyzed patients with MSKI who were admitted to and received treatment in the observation unit, rescue unit, and emergency intensive care unit of the Department of Emergency Medicine, Xiangya Hospital of Central South University from April 1, 2017, to March 31, 2021. Patients who were diagnosed with MSKI in the internal medicine clinics, surgical clinics, and dermatology clinics of the Department of Emergency Medicine and received drugs orally at home but did not undergo treatment in the observation unit, rescue unit, and emergency intensive care unit were not included in the study. The study protocols were approved by the ethics committee (No. 202105088) of our hospital and complied with the tenets of the Declaration of Helsinki.

We first divided patients into non-sepsis and sepsis groups in our ED. The sepsis diagnostic criteria was according to the Third International consensus definitions for sepsis and septic shock (sepsis-3).4 Subsequently, patients in the sepsis group were divided into deceased and survivor groups. Clinical data of these patients including their basic information (age, sex, comorbidities); diagnostic results, and outcomes were collected. Laboratory results at the time of admission included white blood cell (WBC), platelet (PLT), and neutrophil (NC) counts and total bilirubin (TBIL), serum creatinine (CR), C-reaction protein (CRP), and procalcitonin (PCT) levels. All patients underwent imaging examination (X-ray, CT, or MRI) of the lesions and lungs. The source of infection was confirmed by blood culture, joint cavity puncture fluid culture, soft tissue wound secretions culture, and intralesional abscess or bone tissue culture. The etiology results were also collected.

Statistical Analysis

Data were analyzed using GraphPad Prism 5 and SPSS 17.0 software for statistical evaluation. Data are expressed as the mean±standard deviation of the mean. Comparisons of measurement data were performed using t-tests, whereas comparisons of enumeration data were performed with chi-square tests. Multivariate logistic regression analyses were performed to identify independent factors related to the deceased group. The threshold for entry of variables into the multivariate models was p<0.05. Odds ratios (ORs) and 95% confidence intervals (CIs) were also calculated. For all analyses, p<0.05 was considered to indicate statistical significance.

Results

In all, 106 patients (70 male, 36 female) were enrolled in this study: 43 MSKI patients (age: 48.35±18.5 years, 31 male) with sepsis and 63 MSKI patients (age: 53.79±15.22 years, 39 males) without sepsis. Five patients with sepsis died. The patients’ age and sex ratio showed no significant difference between the sepsis and non-sepsis groups (Table 1). However, in the sepsis group, the ratio of rheumatic diseases, diabetes, coronary heart disease, and deep vein thrombosis showed a significant difference than the non-sepsis patients (all p<0.05) (Table 1). Furthermore, there were nine patients with septic arthritis in the non-sepsis group and no patient with septic arthritis in the sepsis group (p=0.0102, p<0.05). However, the other MSKI types between the two groups showed no significant difference.

Table 1

Baseline Patient Demographics

Parameter	Non-Sepsis Patients (n=63)	Sepsis Patients (n=43)	p value
Age (years) (range)	48.35±18.5 (10–85)	53.79±15.22 (16–83)	0.1142
Sex (male)	39	31	0.3036
Comorbidity
Post-trauma or surgery	16	6	0.2227
Rheumatic diseases	10	15	0.0351
Other tissues or organ infection	11	9	1.0000
Tumor	6	2	0.4686
Diabetes	7	18	0.0004
Blood disease	3	5	0.2652
Hypertension	7	11	0.0665
Paraplegia	1	0	1.0000
Coronary Heart Disease	2	7	0.0293
Stroke	3	2	1.0000
Liver cirrhosis	4	4	0.7124
Chronic Kidney Dysfunction	4	5	0.4805
Tuberculosis	1	3	0.3013
Thyroid disease	2	0	0.5132
Pituitary crisis	0	1	0.4057
Peptic ulcer	2	0	0.5132
Shingles	1	0	1.0000
Deep vein thrombosis	1	7	0.0072
Dead patients	0	5	0.0095
Infection
Legs cellulitis	33	25	0.6914
Upper extremity cellulitis	7	5	1.0000
Foot cellulitis	7	6	0.7657
Hand cellulitis	2	1	1.0000
Face cellulitis	5	2	0.6968
Mouth cellulitis	1	0	1.0000
Torso and back cellulitis	2	4	0.2202
Neck cellulitis	2	0	0.5132
Perineum cellulitis	0	3	0.0640
Septic arthritis (total)	9	0	0.0102
Knee	5	0	0.0789
Ankle	3	0	0.2698
Hip	1	0	1.0000
Osteomyelitis (total)	5	3	1.0000
Lumbar spine	1	0	1.0000
Long bones of limbs	3	2	1.0000
Wound infection	1	1	1.0000

In our study, a total of 56 patients (54.37%) had the positive etiology results. The positive ratio in two groups showed no significant difference (p=0.4300, p>0.05), but the fungal infection ratio was higher in the sepsis group than the non-sepsis group (p=0.0394, p<0.05) (Table 2). Staphylococcus, streptococcus,  Klebsiella pneumoniae, Pseudomonas aeruginosa, and Escherichia coli were the most common bacteria in both groups; however, the count of bacterium in each group was no significantly different (all p>0.05). The sepsis group had more cases of Candida albicans infection than the non-sepsis group (p=0.0331, p<0.05).

Table 2

Laboratory and Etiology Results in Non-Sepsis Patients and Sepsis Patients

Parameter	Non-Sepsis Patients (n=63)	Sepsis Patients (n=43)	p value
Laboratory results
WBC	13.41±8.862	14.00±7.934	0.7304
NC	10.98±8.603	11.12±6.665	0.9274
PLT	292.21±54.2	133.1±95.64	0.0001
CRP	93.85±54.00	158.91±17.4	0.0018
PCT	3.644±7.908	20.54±27.17	0.0001
Etiology results
Positive patients (%)	31 (49.2%)	25 (58.13%)	0.4300
Gram stain+ bacterium	23	9	0.0939
Gram− bacterium	21	20
Bacterium	44	29	0.0394
Fungus	1	6
Total	45	35
Methicillin-sensitive Staphylococcus aureus (MSSA)	5	4	1.0000
Methicillin-resistant Staphylococcus aureus (MRSA)	3	2	1.0000
Staphylococcus hominis	1	1	1.0000
Staphylococcus caprae	1	0	1.0000
Staphylococcus ludenica	1	0	1.0000
Staphylococcus haemolyticus	1	0	1.0000
Streptococcus (total)	5	6	0.5209
Pyogenic streptococcus	2	2	1.0000
Streptococcus dysgalactiae	2	3	0.6488
Streptococcus agalactiae	1	1	1.0000
Candida (total)	1	5	0.0811
Candida albicans	0	4	0.0331
Candida glabrata	0	1	0.4375
Candida tropicalis	1	0	1.0000
Klebsiella pneumoniae	4	7	0.1969
Pseudomonas aeruginosa	7	1	0.0735
Acinetobacter baumannii	0	2	0.1981
Escherichia coli	5	1	0.2234
Enterobacter cloacae	1	1	1.0000
Bacillus cereus	0	1	0.4375
Proteus mirabilis	1	0	1.0000
Cryptobacillus hemolyticus	0	1	0.4375
Enterococcus faecalis	1	1	1.0000
Enterococcus avium	1	0	1.0000
Enterococcus raffinose	1	0	1.0000
Enterococcus pluvialis	1	0	1.0000
Prevotella Buccalis	1	0	1.0000
Prevotella oris	1	0	1.0000
Eikenella corrodens	1	0	1.0000
Stenotrophomonas maltophilia	1	0	1.0000
Serratia marcescens	1	0	1.0000
Fusobacterium navicularis	0	1	0.4375
Veronococcus minor	0	1	0.4375
Aeromonas hydrophila	1	0	1.0000
Micromonas parvum	1	0	1.0000
Cyanobacterium marneffei	0	1	0.4375

Table 3 presents the basic information of deceased sepsis patients. Table 4 details different outcomes in sepsis patients. Five patients (11.63%, age: 57.40±14.12 years, 4 male) died in the sepsis group, and 38 patients (age: 53.32±15.47 years, 27 male) were alive. Patients who died had higher levels of serum CR and PCT than the surviving patients (p=0.0421 and p=0.0001, respectively). There were no significant differences with respect to age; sex; comorbidity; WBC, NC, and PLT counts, TBIL, and CRP levels (all p>0.05) when compared between the deceased and alive patients.

Table 3

Deceased Patients’ Basic Information

Deceased Patients	Sex	Age (Years)	Comorbidity	Manifestation	Imaging	Simultaneous Infection
1	Male	69	Rheumatoid arthritis, coronary heart disease, diabetes, hypertension,	Body edema for 1 month, fever for 2 days, unconscious for 4 h, and required cardiopulmonary resuscitation in the ED.	CT showed a large area of soft tissue infection in the abdomen and pressure ulcer on the buttocks	No
2	Female	65	Diabetes, coronary heart disease,	Facial swelling and pain for 7 days, 2 days after cardiopulmonary resuscitation	CT showed facial cellulitis and pneumonia	Pneumonia
3	Male	50	Coronary heart disease, pituitary crisis, deep vein thrombosis	Left lower limb pain for 3 months, fever for half a month	MRI showed whole left lower limb cellulitis	No
4	Male	67	Diabetes, chronic renal impairment, deep vein thrombosis,	Ulcer and swelling of the right lower limb for 20 days	MRI showed right lower limb cellulitis and pressure ulcer	No
5	Male	36	None	Pain and fever all over the body after fighting for 10 days	MRI showed right upper limb and left buttock soft tissue infection	No

Table 4

Comparison of Patients with Different Outcomes with Sepsis

	Deceased (n=5)	Survivors (n=38)	P value
Age (years)	57.40±14.12	53.32±15.47	0.5789
Sex (male)	4	27	1.0000
Comorbidity	2.6±1.517	2.154±1.387	0.5059
WBC	13.68±9.842	14.04±7.808	0.9941
NC	12.72±9.506	10.91±6.346	0.6249
PLT	107.8±64.22	136.4±99.19	0.0779
TBIL	11.54±8.190	24.19±16.79	0.2899
Cr	197.8±78.49	167.9±101.1	0.0421
CRP	194.1±151.3	153.4±113.2	0.0884
PCT	49.81±33.97	16.11±23.56	0.0001

To determine the independent factors related to the deceased patient group, multivariate logistic regression analyses were performed. The threshold for entry of variables into the multivariate models was p<0.05. The results of multivariate logistic regression are shown in Table 5. We found that PCT levels (p=0.026; OR, 1.038) was significantly related to death.

Table 5

Multivariate Logistic Regression Models for Independent Factors Related to Death of Septic Patients

	p	OR	95% CI
Cr	0.603	1.002	0.994–1.010
PCT	0.026	1.038	1.005–1.073

Discussion

The clinical manifestations of MSKI range from isolated osteomyelitis, septic arthritis to systemic multisite infections with several complications, and septic shock.5 In our study, most MSKI patients were diagnosed with soft tissue infection, especially cellulitis, while the bone and joint infection rate was relatively low. Our results are consistent with those of previous studies wherein male subjects were more susceptible to cellulitis, osteomyelitis, and septic arthritis than female subjects. Cellulitis is an acute, diffuse purulent inflammation of the dermis and subcutaneous tissues.6 A previous study confirmed that cellulitis is one of the most common form of skin and soft tissue infection leading to more than 600,000 hospitalizations each year, 1 and more than 9 million patients always along with cutaneous abscess.7 Osteoarticular infection including acute osteomyelitis and septic arthritis is an uncommon disease among adults. In Spain, the incidence was 3.85 cases/100,000 people per year, and most commonly occurred in men, with an in-hospital mortality rate of 1.72%.8 The incidence of acute septic arthritis varies from 2 to 6 cases/100,000 people per year, with the highest incidence occurring in people with older than 55 years.9

In our study, 40.57% MSKI patients met the diagnostic criteria, and MSKI patients with sepsis had a relatively higher rate of comorbidity with rheumatic diseases, diabetes, coronary heart disease, and deep vein thrombosis (DVT). Sepsis results from the host response to infection, and it was well known that rheumatic diseases and diabetes lead to an abnormal immune response including chronic inflammation or metabolic abnormalities, which further worsen the host response against infections.10,11 Coronary heart disease and DVT could result in chronic edema, and chronic edema is a risk factor for cellulitis and recurrent cellulitis.12 Furthermore, both coronary heart disease and DVT were confirmed as risk factors for sepsis.13

The management of MSKI depends on quick and accurate recognition of pathogenic microorganisms and a thorough identification of the infection site and tissue involved.5 The pathogenic microorganisms of septic arthritis in adults may be closely related to the patient’s current medical history, family history, physical condition, and drug abuse, but the pathogens are still mainly Staphylococcus aureus, streptococcus, and gram-negative rods.14 In the case of cellulitis, most identified pathogenic microorganisms are β-hemolytic streptococcus and S. aureus.15 Our results are also in line with those of the previous studies, wherein staphylococcus and streptococcus were the most common pathogenic organisms. However, in the sepsis patients in our study, the ratio of fungal infections was higher than that in the non-sepsis patients. Fungal MSKI infections are complex infections that are rarely encountered in routine clinical practice.16 The most common fungal genus causing MSKI is Candida, which comprises at least 15 distinct species; of these, Candida albicans is by far the most common,16 Our study also showed the same result.

In our study, sepsis patients had higher levels of PCT and CRP than non-sepsis patients, while the WBC and NC counts were not significantly elevated in the sepsis patients. Our study showed that deceased patients with sepsis had higher levels of serum Cr and PCT, and the multivariate logistic regression indicated that higher PCT had a predictive value for mortality. PCT, CRP, WBC, and NC were all used as traditional infection biomarkers. Generally, PCT levels become detectable at 4 h and peak between 12 and 24 h after fungal or bacterial infection. PCT levels are typically not elevated during viral infections.17 Comparatively, CRP typically begins to elevate within 6 h of a stimulus and peak later than PCT, between 24 and 72 h.17 McMichael et al reported that PCT, CRP, and erythrocyte sedimentation rate (ESR) performed reasonably well for the detection of MSKI, while WBC count was not predictive of MSKI.18 Woo et al also confirmed that CRP and PCT had better predictive function for sepsis than WBC count.19 In a multicenter trial, sepsis patients received either PCT-guided discontinuation of antimicrobials or standard of care. The results indicated that PCT guidance was effective in reducing infection-associated adverse events and 28-day mortality.20

Limitations

Our study has some limitations. First, we just performed a retrospective study and did not analyze the relationship between the time of antibiotic use and prognosis. Second, we did not analyze the diagnostic threshold of PCT and CRP for sepsis. Last, owing to the low incidence of septic arthritis and osteomyelitis, most cases included in the study involved soft tissue infection.

Conclusions

In MSKI patients, rheumatic diseases, diabetes, coronary heart disease, and DVT are risk factors for sepsis. Staphylococcus, streptococcus, K. pneumoniae, P. aeruginosa, and E. coli were the most common bacteria in MSKI patients, while sepsis patients had more Candida albicans infections. Elevated PCT levels were significantly related to death in sepsis patients.