Literature DB >> 31959118

Predictors for gram-negative monomicrobial necrotizing fasciitis in southern Taiwan.

Tsung-Yu Huang1,2, Kuo-Ti Peng3,4, Cheng-Ting Hsiao5, Wen-Chih Fann5, Yao-Hung Tsai3, Yen-Yao Li3, Chien-Hui Hung1,2, Fang-Yi Chuang6, Wei-Hsiu Hsu7,8.   

Abstract

BACKGROUND: Necrotizing fasciitis (NF) is a rare and life-threatening necrotizing skin and soft-tissue infection. Infectious pathogens of NF must be detected early and treated rapidly to prevent loss of limb or a fatal outcome. This study aimed to detect more reliable predictors between gram-negative and gram-positive monomicrobial NF of limbs.
METHODS: A total of 100 patients with limb monomicrobial NF were diagnosed prospectively from April 2015 to July 2018. These monomicrobial NF pathogens can be divided into gram-negative and gram-positive groups according to the result of Gram staining and final bacterial reports. Data such as demographics, seawater or seafood contact history, infectious location, comorbidities, presenting signs and symptoms, and laboratory findings were recorded and compared.
RESULTS: A total of 55 patients were infected with gram-negative organisms and 45 patients with gram-positive organisms. Among the 55 cases of monomicrobial gram-negative NF, 48 (87.3%) were caused mainly by Vibrio spp. (38, 69.1%) and Aeromonas spp. (10, 18.2%). A higher incidence of chronic kidney disease, cerebrovascular accident, tachypnea, and septic shock; a higher rate of band forms of leukocytes of more than 3%, serum lactate of more than 20 mg/dL, and C-reactive protein level of less than 150 mg/dL; prolonged prothrombin time; and a lower fibrinogen level were observed in patients with gram-negative infection. In a multivariate analysis, a higher incidence of seawater or seafood contact history (odds ratio [OR]: 66.301; 95% confidence interval [CI]: 7.467-588.702), a higher rate of hyperlactatemia (OR: 7.904; 95% CI: 1.231-50.744), and a low fibrinogen level (OR: 1.013; 95% CI: 1.004-1.023) indicated gram-negative infection.
CONCLUSIONS: In southern Taiwan, NF of limbs mainly affected the lower limbs, exhibited monomicrobial infection, and was predominated by gram-negative bacteria. Gram-negative monomicrobial NF of limbs often occurred in individuals with the more seawater or seafood contact history, hyperlactatemia, and low fibrinogen levels.

Entities:  

Keywords:  Fibrinogen; Gram-negative pathogen; Hyperlactatemia; Necrotizing fasciitis; Seafood

Mesh:

Year:  2020        PMID: 31959118      PMCID: PMC6972015          DOI: 10.1186/s12879-020-4796-3

Source DB:  PubMed          Journal:  BMC Infect Dis        ISSN: 1471-2334            Impact factor:   3.090


Background

Necrotizing fasciitis (NF) is a rare and life-threatening necrotizing skin and soft-tissue infection (NSSTI) characterized by a rapid spread of necrosis in the subcutaneous tissues, particularly the superficial and deep fascia [1, 2]. Necrotizing fasciitis is associated with high mortality despite patients undergoing aggressive operative debridement and fasciotomy and adequate parenteral antibiotic therapy [2]. The overall amputation rate in NF was 4.7–22.5% [3-9], and the mortality rate was 12.1–76% [2-12]. Early fasciotomy, an appropriate antimicrobial regimen ordered with microbiologic proof, or empiric antimicrobial therapy supported by infectious-disease physicians should be performed in critically ill patients suffering from fulminant NF [13-15] to prevent loss of limb and even death. Type I NF is a polymicrobial infection [16] that accounts for nearly 53.9–69.2% of all NF types [3, 4]. However, in Taiwan, the incidence of monomicrobial NF is reportedly 60.4–70.6% [6, 7, 12]. Chang Gung Memorial Hospital-Chiayi (CGMH-Chiayi) is a 1300-bed capacity tertiary teaching hospital situated on the western coast of southern Taiwan. Given the location, patients are exposed to occupations related to seawater or raw seafood. In our previous reports, Vibrio spp. and Aeromonas spp. have been regarded as the most important gram-negative bacteria causing NF since 2004 [8, 9, 11–13, 17–22], and Vibrio cholerae non-O1 keratitis [23]. Our team, “Vibrio NSSTIs Treatment and Research (VTR) Group,” at CGMH-Chiayi consists of professional medical staff working in various departments, namely, emergency medicine, orthopedic surgery, infectious diseases, intensive care unit, and hyperbaric oxygen treatment center. This group has conducted considerable research focused on comparing Vibrio vulnificus with other different infectious microorganisms, including Aeromonas spp. [13], Vibrio cholerae non-O1 [18], and Staphylococcus aureus (S. aureus) [22]. In southwest Taiwan, Gram-negative aerobic bacteria, such as V. vulnificus, A. hydrophila, Klebsiella pneumoniae, and Escherichia coli, were the most frequently isolated microorganisms of NF [6–14, 17–22, 24–26], and they can cause more rapid, fulminant, and deadly NF than gram-positive pathogens [8, 12, 27]. In gram-positive aerobic pathogens of NF, β-hemolytic Streptococcus spp. and S. aureus were extremely important microorganisms [3, 4, 6–10, 12, 16, 22, 27–29]. In comparing gram-negative with gram-positive aerobic NF, the mortality rates of the former group were generally higher than the latter group (17.1–41.2% vs. 9.1–30.8%) [8, 12, 27]. V. vulnificus causes the most rapid fatal NSSTIs, with most patients having died within 48 h after admission [11, 13, 25]. From 1966 to 2014, the pooled estimate of total mortality rates about V. vulnificus NSSTIs from the random-effects meta-analysis was as high as 37.2% [30]. Aeromonas spp. are another fulminant group of microorganisms associated with high mortality of 26.7–50.0% for NF [9, 12–14, 20]. Diagnostic delays of NF are related to increased morbidity and mortality [31]. In 2011, we compared the prognostic factors and characteristics of gram-negative and gram-positive monomicrobial NF [8]. However, insights into the early detection of more reliable predictors between gram-negative and gram-positive monomicrobial NF are rarely discussed. Thus, we used a simple standard protocol that utilizes demographic data, clinical presentations, and laboratory findings to evaluate the possible pathogens of monomicrobial NF of limbs when patients arrived in the emergency department (ED) within 1 h.

Methods

Setting and study design

This is a prospective study performed by the VTR Group at CGMH-Chiayi from April 2015 to July 2018. Between these periods, these patients admitted at the ED and diagnosed with skin and soft-tissue infections were initially enrolled in our study (Fig. 1). Only monomicrobial NF of limbs could be analyzed in the study. It followed the tenets of Declaration of Helsinki. Written consent was obtained before the investigation.
Fig. 1

Flowchart of 100 monomicrobial necrotizing fasciitis

Flowchart of 100 monomicrobial necrotizing fasciitis Patients with monomicrobial NF of limbs were enrolled in the study using the following criteria: (1) NF was defined by surgical findings, including the presence of grayish necrotic skin, subcutaneous fat and fascia, no resistance of normally adherent fascia to digital blunt dissection, and a purulent discharge resembling foulsmelling dishwater [8, 17, 24]; (2) Histopathological tissue specimens were obtained to confirm the diagnoses [3, 32]; (3) monomicrobial infection was documented by isolating single pathogenic bacteria from soft-tissue lesions and/or blood collected immediately after the patient’s arrival at the ED or during surgery [8, 17]; and (4) such bacteria infected any limb.

Demographic data, clinical presentations, and laboratory findings

Patients with monomicrobial NF of limbs were divided into gram-negative and gram-positive groups according to the results of Gram staining and final bacterial reports. Data such as demographics, seawater or seafood contact history, location of infection, comorbidities, presenting signs and symptoms, and laboratory findings were recorded and compared.

Statistical analysis

The predictors for gram-negative monomicrobial NF of limbs were determined using a multivariate logistic regression model. Categorical variables were tested by Fisher’s exact test, continuous variables were tested by Student’s t-test or the Mann–Whitney U test, and a two-tailed p-value < 0.05 was considered statistically significant. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to evaluate the strength of any association, as well as the precision of the estimated effect. All statistical calculations were performed using the Statistical Package for the Social Sciences for Windows, version 18.0 (Chicago, IL, USA).

Results

Patients and microbiology analysis

Between April 2015 and July 2018, 186 patients admitted via the ED were surgically confirmed to have NF of limbs (Fig. 1). Among them, 100 (53.8%) patients had a monomicrobial organism, 37 (19.9%) had polymicrobial organisms, and 49 (26.3%) had no microorganism. The microbiological findings of these 100 monomicrobial NF cases are listed in Table 1. Gram-negative pathogens causing NF were identified in 55 (55%) patients, whereas gram-positive pathogens were detected in 45 (45%) patients. V. vulnificus was the most common infectious organism, accounting for 37 (37%) of the gram-negative bacillary monomicrobial NF cases, followed by the gram-negative organism Aeromonas hydrophila, which was isolated from 9 (9%) patients. Of the gram-positive cocci, methicillin-resistant S. aureus was the most commonly isolated (15%), followed by methicillin-sensitive S. aureus (13%) (Table 1).
Table 1

Summary of microbiology

Identified infectious microorganismsTotal No. (%)
Gram-negative pathogens55 (55)
Vibrio spp.38 (38)
  Vibrio vulnificus37
  Vibrio cholerae non-O11
Aeromonas spp.10 (10)
  Aeromonas hydrophila9
  Aeromonas sobria1
Pseudomonas aeruginosa2 (2)
Enterobacter cloacae2 (2)
Shewanella putrefaciens1 (1)
Escherichia coli1 (1)
Klebsiella pneumoniae1 (1)
Gram-positive pathogens45 (45)
Staphylococcus spp.30 (30)
  MRSAa15
  MSSAb13
  Coagulase-negative staphylcoccus2
 β-hemolytic Streptococcus14 (14)
  Streptococcus Group Non ABD4
  Streptococcus pyogenes2
  Streptococcus agalactiae2
  Streptococcus equisimilis2
  Streptococcus dysgalactiae1
  Streptococcus like3
Peptostreptococcus sp1 (1)
Total100 (100)

Abbreviations: aMRSA Methicillin-resistant Staphylococcus aureus, bMSSA Methicillin-sensitive Staphylococcus aureus

Summary of microbiology Abbreviations: aMRSA Methicillin-resistant Staphylococcus aureus, bMSSA Methicillin-sensitive Staphylococcus aureus The gram-negative group had a higher incidence of bacteremia than the gram-positive group (34/55, 61.8% vs. 8/45, 17.8%; p <  0.001).

Clinical outcomes

The gram-negative group had a higher incidence of mortality rate (9/55, 16.4% vs. 3/45, 6.7%; p = 0.138) and amputation rate (7/55, 12.7% vs. 0/45, 0%; p = 0.013) than the gram-positive group.

Surgical treatment

The gram-negative group had a higher number of debridement (2.05 ± 1.50 vs. 1.56 ± 1.34%; p = 0.085), amputation (0.13 ± 0.34 vs. 0 ± 0; p = 0.013), and fasciotomy (1.11 ± 0.42 vs. 1.04 ± 0.21; p = 0.345) than the gram-positive group.

Demographic data

No significant differences in the parameters of age, gender, and infective regions were observed between these two groups. The gram-negative group was characterized by a higher incidence of seawater or seafood contact history, chronic kidney disease (CKD) and a cerebrovascular accident (CVA) (p <  0.001, p = 0.049, and p = 0.004, respectively; Table 2). Meanwhile, the gram-positive group was characterized by a higher incidence of gout (p = 0.005; Table 2).
Table 2

Demographic data from monomicrobial necrotizing fasciitis patients with gram-negative and gram-positive pathogens

VariableGram-negative pathogen (n = 55)Gram-positive pathogen (n = 45)P-value
Age (years)68.9 ± 12.964.7 ± 15.40.107
Gender, male37 (67.3)32 (71.1)0.680
Involved region
 Upper extremities23 (41.8)17 (37.8)0.682
 Lower extremities32 (58.2)28 (62.2)0.682
Seawater or seafood contact history38 (69.1)7 (15.6)< 0.001*
Underlying chronic diseases
 Alcoholism15 (27.3)12 (26.7)0.946
 Chronic kidney disease18 (32.7)7 (15.6)0.049*
 Cerebrovascular disease14 (25.5)2 (4.4)0.004*
 Chronic liver dysfunction
  HBV10 (18.2)5 (11.1)0.325
  HCV22 (40.0)10 (22.2)0.058
  HBV or HCV29 (52.7)15 (33.3)0.052
 Liver cirrhosis17 (30.9)10 (22.2)0.330
 Diabetes Mellitus23 (41.8)19 (42.2)0.968
 Gout0 (0)6 (13.3)0.005*
 Malignancy11 (20.0)7 (15.6)0.565
 Peripheral vascular disease0 (0)2 (4.4)0.200

Data was presented as mean (standard deviation) or frequency (%)

*: p-value < 0.05

Demographic data from monomicrobial necrotizing fasciitis patients with gram-negative and gram-positive pathogens Data was presented as mean (standard deviation) or frequency (%) *: p-value < 0.05

Clinical presentations

No significant differences in the presentation of an erythematous, swollen, locally hot, and painful lesion; bulla formation; or skin necrosis were observed between these two groups (Table 3). However, the proportion of patients presenting with tachypnea (respiratory rate >  20/min, 43.6% vs. 11.1%; p < 0.001) and shock (systolic blood pressure < 90 mmHg, 45.5% vs. 11.1%; p < 0.001) was higher in the gram-negative group than in the gram-positive group (Table 3).
Table 3

Clinical presentations of patients with gram-negative pathogen and gram-positive pathogen associated monomicrobial necrotizing fasciitis patients

VariableGram-negative pathogen (n = 55)Gram-positive pathogen (n = 45)P-value
Fever (> 38 °C)19 (34.5)13 (28.9)0.546
Tachycardiaa32 (58.2)21 (46.7)0.251
Tachypneab24 (43.6)5 (11.1)< 0.001*
Shockc25 (45.5)5 (11.1)< 0.001*
Erythema51 (92.7)42 (93.3)0.906
Swelling51 (92.7)41 (91.1)0.767
Local hot48 (87.3)42 (93.3)0.315
Pain or tenderness55 (100)45 (100)1.000
Bullous lesions28 (50.9)14 (31.1)0.066
Skin necrosis10 (18.2)4 (8.9)0.183

Data was presented as mean (standard deviation) or frequency (%)

*: p-value < 0.05

aTachycardia: heart beat > 100/min, bTachypnea: respiratory rate >  20/min, cShock: systolic blood pressure < 90 mmHg

Clinical presentations of patients with gram-negative pathogen and gram-positive pathogen associated monomicrobial necrotizing fasciitis patients Data was presented as mean (standard deviation) or frequency (%) *: p-value < 0.05 aTachycardia: heart beat > 100/min, bTachypnea: respiratory rate >  20/min, cShock: systolic blood pressure < 90 mmHg

Laboratory findings

No significant differences in total white blood cell count, hemoglobin, platelet count, sodium, creatinine, glucose, total bilirubin, or hypoalbuminemia (serum albumin < 2.5 g/dL) were observed between the two groups (Table 4). The band forms of leukocytes of more than 3%, hyperlactatemia (serum lactate > 20.0 mg/dL), and C-reactive protein (CRP) of less than 150 mg/L were more frequently increased in the gram-negative group (p = 0.030, p < 0.001, and p < 0.001, respectively; Table 4). In addition, the prothrombin time (PT) values for the gram-negative group were significantly higher than those for the gram-positive group (p = 0.003). The proportion of patients presenting with a lower fibrinogen level was frequently observed and significantly higher in the gram-negative group (p < 0.001). The gram-positive group had a higher Laboratory Risk Indicator for Necrotizing Fasciitis (LRINEC) score (≥6) than the gram-negative group (62.2% vs. 32.7%, p = 0.003; Table 4).
Table 4

Laboratory findings of patients with monomicrobial necrotizing fasciitis by gram-negative pathogen and gram-positive pathogen

VariableGram-negative pathogen (n = 55)Gram-positive pathogen (n = 45)P-value
Total WBCa count
 Leukocytosis (≧ 12,000/uL)28 (50.9)31 (68.9)0.069
 Leukopenia (≦ 4000/uL)4 (7.3)2 (4.4)0.554
 Leukocytosis or Leukopenia32 (58.2)33 (73.3)0.114
Differential count
 Band forms > 3%29 (52.7)14 (31.1)0.030*
 Neutrophilia (>  7500/uL)38 (69.1)35 (77.8)0.330
 Lymphocytopenia (<  1000/uL)34 (61.8)23 (51.1)0.282
Hemoglobin (<  10 g/dL)9 (16.4)4 (8.9)0.269
Thrombocytopenia (<  15 × 104/uL)29 (52.7)18 (40.0)0.205
Hypoalbuminemia (<  2.5 g/dL)7 (12.7)1 (2.2)0.054
Hyperlactatemia (> 20 mg/dL)35 (63.6)7 (15.6)< 0.001*
C-reactive protein (<  150 mg/L)40 (72.7)17 (37.8)< 0.001*
Creatinine (μmol/L)180.4 ± 137.2134.5 ± 109.70.072
D-dimer (mg/L)4.3 ± 6.92.6 ± 5.80.222
Fibrinogen (mg/dL)316.5 ± 145.8517.4 ± 164.5< 0.001*
Glucose (mmol/L)9.7 ± 6.410.3 ± 5.20.647
Sodium (mmol/L)135.5 ± 3.5135.0 ± 3.50.544
LRINECb score≧618 (32.7)28 (62.2)0.003*
PTc (seconds)13.4 ± 4.911.0 ± 2.00.003*
Total bilirubin (mg/dL)1.9 ± 1.91.7 ± 3.90.718

Data was presented as mean (standard deviation) or frequency (%)

Abbreviations: aWBC White blood cell, bLRINEC Laboratory risk indicator for necrotizing fasciitis, cPT Prothrombin time

*: p-value < 0.05

Laboratory findings of patients with monomicrobial necrotizing fasciitis by gram-negative pathogen and gram-positive pathogen Data was presented as mean (standard deviation) or frequency (%) Abbreviations: aWBC White blood cell, bLRINEC Laboratory risk indicator for necrotizing fasciitis, cPT Prothrombin time *: p-value < 0.05

Multivariate analysis

In a multivariate analysis, a higher incidence of seawater or seafood contact history (OR: 66.301; 95% CI: 7.467–588.702; p < 0.001), a higher hyperlactatemia rate (OR: 7.904; 95% CI: 1.231–50.744; p = 0.029), and a lower fibrinogen level (OR: 1.013; 95% CI: 1.004–1.023; p = 0.004) were indicative of a gram-negative pathogen infection (Table 5).
Table 5

Multivariate regression for gram-negative pathogen from monomicrobial necrotizing fasciitis patients

ORa (95% CIb)P-value
Seawater or seafood contact history66.301 (7.467–588.702)< 0.001*
Hyperlactatemia > 20 mg/dL7.904 (1.231–50.744)0.029*
Low fibrinogen (mg/dL)1.013 (1.004–1.023)0.004*
C-reactive protein < 150 mg/L0.153 (0.013–1.863)0.141
Tachypnea1.273 (0.211–7.661)0.792
Band > 3%0.570 (0.084–3.872)0.565
Shock1.490 (0.177–12.566)0.714
Chronic kidney disease0.480 (0.075–3.052)0.437
Cerebrovascular disease5.601 (0.583–53.777)0.135
PT (seconds)0.822 (0.550–1.229)0.339
Gout0.999

Abbreviations: aOR Odds ratio, bCI Confidence interval

*: p-value < 0.05

Multivariate regression for gram-negative pathogen from monomicrobial necrotizing fasciitis patients Abbreviations: aOR Odds ratio, bCI Confidence interval *: p-value < 0.05

Discussion

In our study, 48 (87.3%) of the 55 patients with monomicrobial gram-negative NF were mainly infected by Vibrio spp. (38, 69.1%), followed by Aeromonas spp. (10, 18.2%). From 1988 to 1992, V. vulnificus infection mortality rates had induced 54.2–55.6% of patients with sepsis [25, 33] and 25.3–35.3% of patients with soft-tissue infections [25, 33]. Our VTR Group had persistently reduced the mortality rates of Vibrio NF from 38.5% in 2004 to 13.2% in 2012 [11–13, 17–19, 22] and of V. vulnificus NF from 35.3% in 2007 to 11.1% in 2012 [12, 13, 18, 19, 22]. However, the mortality rate of Aeromonas spp. NF had persistently increased from 26.7% in 2007 to 45.5% in 2015 [12, 13, 20]. Thus, distinguishing gram-negative from gram-positive NF is extremely important. Having a higher incidence of seawater or seafood contact history in gram-negative NF is the most important history in our study. Vibrio and Aeromonas spp. are members of the Vibrionaceae family that can thrive in similar aquatic environments. According to past reports, approximately 53.6–100% of patients with Vibrio infections had a recent history of contact with seawater or raw seafood [11, 17, 18, 25, 33]. Additionally, Aeromonas spp. are often located in fresh or brackish water, sewage, solid, tap water, or nonfecal organic materials [13, 26, 34]. Understanding the demographic findings of patients with NF, especially chronic liver disease (hepatitis or cirrhosis of the liver), chronic alcoholism, CKD, malignant disease, diabetes mellitus, and peripheral vascular disease, is also important [4, 6–8, 11, 14, 21, 25, 27, 33]. According to previous reports, gouty arthritis was more prevalent in gram-positive NF [8, 28], and our study conforms to this result (Table 2). Gram-negative monomicrobial NF had more patients with immunocompromized disorders (CKD, diabetes mellitus, liver dysfunction, or malignancy) [8]. Compared with patients with gram-positive infections, those with gram-negative pathogens were characterized by a higher prevalence of chronic liver dysfunction [8, 12] and more likely to have a baseline malignancy [27]. We also found that the proportion of chronic liver disease and malignancy in the gram-negative group was higher than that in the gram-positive group, but it was not statistically different. This result may be due to the small number of patients. Meanwhile, patients who had NF with CKD in the gram-negative group had a higher mortality rate than those in the gram-positive group [8]. In addition, patients who had NF with CKD and CVA can easily acquire gram-negative infections (Table 2); however, this result has been less discussed in previous literature. These similar phenomena may lead to vascular sclerosis. Furthermore, we need to check the major clinical signs and symptoms of patients with NF. Most of these patients presented with erythematous (52.3–100%) [3, 7–10], swollen (71.1–100%) [7-10], locally hot (41.1–96.6%) [3, 7, 10], painful or tender (54.7–100%) [3, 7–10], and bullous lesions (13.3–44.9%) [3, 7, 10]. In our study, the gram-negative group had a greater proportion of patients with bullous lesions (50.9% vs. 31.1%) than the gram-positive group, but it had no significant statistical difference. Hemorrhagic bullae are an important skin phenomenon of Vibrio infection that generally developed at the time of admission or within 24 h of hospitalization and became more severe every hour [25]. Approximately 37–46.4% of Vibrio infections can develop hemorrhagic bulla, especially primary Vibrio septicemia by 37–54.5% [25, 33] and Vibrio wound infection by 41–60% [25, 33]. Although bulla formation can be divided into hemorrhagic bullae or clear bullae, distinguishing them is sometimes difficult. Secondary skin lesions were found on 65.1% of patients with primary Vibrio septicemia [25] and can occur until 48 h later [21]. Nonetheless, the emergence of hemorrhagic bullae would be considered a feature of Vibrio, but it is not representative of the performance of all gram-negative bacteria. Fever (24.1–52.8%) [3, 7–10, 12, 14, 19], hypothermia (10.9–14.3%) [8, 14], tachycardia (39.8–74.2%) [3, 9], tachypnea (47.6%) [14], and shock (12.1–64.3%) [3, 7–10, 12, 14, 19] were common systemic manifestations of patients with NF. In our past study, patients with gram-negative NF are statistically more likely to have a fever than those with gram-positive NF [12]. In this study, more patients with gram-negative pathogenic infection experienced fever and tachycardia than those with gram-positive pathogenic infection, but no statistical difference was observed. As compared with NF caused by gram-positive pathogens, those with NF caused by gram-negative pathogens tended to have tachypnea and initially presented with septic shock (Table 3). Such results are consistent with those in our past reports [8, 12]. More patients presented with dyspnea in the gram-negative group than in the gram-positive group, but this result is discussed rarely in previous studies. Furthermore, more patients had circulatory infection in the gram-negative group than in the gram-positive group (61.8% vs. 17.8%). This result may be due to the idea that the gram-negative group had more septicemia-related systemic inflammatory response symptoms [35]. Moreover, we need to check specific hematologic and biochemical tests. Gram-negative pathogens are associated with a higher rate of patients with band forms of leukocytes, lymphocytopenia, or thrombocytopenia than gram-negative pathogens [8, 12]. In our study, the band forms of leukocytes of more than 3% were more common in the gram-negative group than in the gram-positive group (Table 4). CRP is synthesized primarily by the liver in response to certain proinflammatory cytokines, and it is a protein of acute systemic inflammation, thereby indicating a prime marker of inflammation. CRP is also an important laboratory parameter of the LRINEC score to distinguish NF from other soft-tissue infections; if patients had an LRINEC score greater than 6 or CRP greater than 150 mg/dL, they are diagnosed with NF [36]. However, in our study, 72.7% of patients with gram-negative NF and 37.8% of those with gram-positive NF had initial CRP values of less than 150 mg/dL on arriving at the ED, and this finding was not reported before. Lower CRP titers can confuse our judgment in diagnosing NF, especially with gram-negative infections. However, CRP can rise several days later and may decline after patients are treated. Monitoring CRP is still important, but it may not be a good tool to diagnose gram-negative NF in our study. Only 46% of patients in the gram-positive group had an LRINEC score of 6 or greater, whereas 32.7% was recorded in the gram-negative group (Table 4). Thus, the LRINEC scoring system is not applicable for determining the early management of patients with suspected Vibrio and Aeromonas NF [19], as well as in this study. In patients with NF, hyperlactatemia is independently associated with in-hospital mortality [37]. Hyperlactatemia generally occurs in patients with shock, respiratory failure, or renal failure [38], consistent with our study. Patients with NF caused by gram-negative pathogens tend to have concurrent bacteremia and initially present with septic shock [14]. Meanwhile, fibrinogen is a kind of acute-phase protein, and its blood levels rise in response to systemic inflammation, tissue injury, and certain events. Elevated fibrinogen levels in inflammation, as well as in cancer and other conditions, have been suggested to be the cause of thrombosis and vascular injury that accompany these conditions [39]. In the present study, fibrinogen consumption was faster in the gram-negative group (Table 4) than in the gram-positive group. The possible cause may be that more septicemia cases in the gram-negative group were complicated with severe tissue damage and systemic inflammation. In a multivariate analysis, we found three important matters related to gram-negative monomicrobial NF: seawater or seafood contact history, hyperlactatemia, and low fibrinogen levels. Gathering a detailed contact history on occupational exposure to warm seawater, trauma, or seafood or freshwater fish ingestion is necessary. If NF is suspected initially, we need to check the fibrinogen and lactate levels. These two blood tests can also reflect gram-negative organisms related to sepsis. The present study was limited by having only 100 patients in a period of over 3 years and 4 months. Another limitation is that in the present study, patients were diagnosed mainly on the basis of microbial cultures; culture-negative and polymicrobial NF were not analyzed. The third limitation was that we merely compared gram-negative NF with gram-positive NF through limb assessment.

Conclusion

This study demonstrated the following important points: (1) In southern Taiwan, NF of limbs involved mainly the lower extremities, exhibited high monomicrobial infection, and was predominated by gram-negative bacteria; (2) a higher incidence of CKD, CVA, tachypnea, and septic shock; a higher rate of band forms of leukocytes of more than 3% and a CRP level of less than 150 mg/dL; more prolonged PT, more hyperlactatemia cases, and a lower fibrinogen level were observed in patients with gram-negative monomicrobial NF than in patients with gram-positive NF; (3) in a multivariate analysis, gram-negative monomicrobial NF of limbs often occurred in individuals with more seawater or seafood contact history, hyperlactatemia, and a low fibrinogen level.
  39 in total

1.  Necrotizing fasciitis: 10 years' experience in a district general hospital.

Authors:  R G Ward; M S Walsh
Journal:  Br J Surg       Date:  1991-04       Impact factor: 6.939

2.  Microbiology and factors affecting mortality in necrotizing fasciitis.

Authors:  Yuag-Meng Liu; Chih-Yu Chi; Mao-Wang Ho; Chin-Ming Chen; Wei-Chih Liao; Cheng-Mao Ho; Po-Chang Lin; Jen-Hsein Wang
Journal:  J Microbiol Immunol Infect       Date:  2005-12       Impact factor: 4.399

3.  Bacteriology of necrotizing fasciitis.

Authors:  A Giuliano; F Lewis; K Hadley; F W Blaisdell
Journal:  Am J Surg       Date:  1977-07       Impact factor: 2.565

Review 4.  Fibrinogen as a key regulator of inflammation in disease.

Authors:  Dimitrios Davalos; Katerina Akassoglou
Journal:  Semin Immunopathol       Date:  2011-10-31       Impact factor: 9.623

5.  Correlation of histopathologic findings with clinical outcome in necrotizing fasciitis.

Authors:  Mohanad Bakleh; Lester E Wold; Jayawant N Mandrekar; William S Harmsen; Haytham H Dimashkieh; Larry M Baddour
Journal:  Clin Infect Dis       Date:  2005-01-06       Impact factor: 9.079

6.  Comparison of necrotizing fasciitis and sepsis caused by Vibrio vulnificus and Staphylococcus aureus.

Authors:  Yao-Hung Tsai; Robert Wen-Wei Hsu; Kuo-Chin Huang; Tsung-Jen Huang
Journal:  J Bone Joint Surg Am       Date:  2011-02-02       Impact factor: 5.284

7.  Microbiology and surgical indicators of necrotizing fasciitis in a tertiary hospital of southwest Taiwan.

Authors:  Yao-Hung Tsai; Kuo-Chin Huang; Shih-Hsun Shen; Wei-Hsiu Hsu; Kuo-Ti Peng; Tsung-Jen Huang
Journal:  Int J Infect Dis       Date:  2011-12-09       Impact factor: 3.623

Review 8.  Necrotizing fasciitis.

Authors:  R J Green; D C Dafoe; T A Raffin
Journal:  Chest       Date:  1996-07       Impact factor: 9.410

9.  Monomicrobial Necrotizing Fasciitis Caused by Aeromonas hydrophila and Klebsiella pneumoniae.

Authors:  Yao-Hung Tsai; Shih-Hsun Shen; Tien-Yu Yang; Po-Han Chen; Kuo-Chin Huang; Mel S Lee
Journal:  Med Princ Pract       Date:  2015-06-11       Impact factor: 1.927

10.  Vibrio cholerae non-O1 - the first reported case of keratitis in a healthy patient.

Authors:  Wei-Dar Chen; Li-Ju Lai; Wei-Hsiu Hsu; Tsung-Yu Huang
Journal:  BMC Infect Dis       Date:  2019-10-29       Impact factor: 3.090

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1.  Stage IV colorectal cancer presenting after necrotizing soft tissue infection.

Authors:  Caroline Freedle; Jasmin Rahesh; Michelle Harris; Virginia Tran; Sharmila Dissanaike
Journal:  Proc (Bayl Univ Med Cent)       Date:  2020-09-08

2.  Different types of bullae of limbs with necrotizing fasciitis predict different outcome: a prospective study.

Authors:  Tsung-Yu Huang; Yao-Hung Tsai; Liang-Tseng Kuo; Wei-Hsiu Hsu; Cheng-Ting Hsiao; Chien-Hui Hung; Wan-Yu Huang; Han-Ru Wu; Hui-Ju Chuang; Yen-Yao Li; Kuo-Ti Peng
Journal:  Infection       Date:  2021-01-03       Impact factor: 7.455

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