Clinical predictors for severe sepsis in patients with necrotizing fasciitis: an observational cohort study in northern Thailand.

BACKGROUND: Necrotizing fasciitis (NF) is a life-threatening infection of skin and fascia. Its progress is extremely fast, with extensive necrosis. Delay in treatment, with subsequent huge soft tissue loss and associated severe sepsis, remains a major cause of death in the management of NF.
OBJECTIVE: The aim of this study was to explore clinical characteristics that may be used to predict severe sepsis in patients with NF, in the context of routine clinical practice in northern Thailand.
METHODS: A retrospective observational cohort study was conducted. The patient cohort in this study consisted of all patients who were diagnosed with NF by surgical or pathological confirmation. The follow-up period started with the admission date and ended with the discharge date. The clinical variables were collected from patients registered at three provincial hospitals in northern Thailand from 2009 to 2012. The clinical predictors for severe sepsis were analyzed using multivariable risk regression.
RESULTS: A total of 1,452 patients were diagnosed with NF, either with severe sepsis (n=237 [16.3%]) or without severe sepsis (n=1,215 [83.7%]). From the multivariable analysis, female sex (relative risk [RR] =1.51; 95% confidence interval [CI] =1.04-2.20), diabetes mellitus (RR =1.40; 95% CI =1.25-1.58), chronic heart disease (RR =1.31; 95% CI =1.15-1.49), hemorrhagic bleb (RR =1.47; 95% CI =1.32-1.63), skin necrosis (RR =1.45; 95% CI =1.34-1.57), and serum protein <6 g/dL (RR =2.67; 95% CI =1.60-4.47) were all predictive factors for severe sepsis.
CONCLUSION: The clinical predictors for severe sepsis in patients with suspicion of NF included female sex, diabetes mellitus, chronic heart disease, hemorrhagic bleb, skin necrosis, and serum protein <6 d/dL. The risk ratio was much higher in patients with total protein less than 6 g/dL, which is associated with malnutrition. Therefore, provision of sufficient nutritional support and close monitoring for these clinical predictors may be beneficial to reduce morbidity and mortality.

Introduction

Necrotizing fasciitis (NF) is a life-threatening infectious disease with a case-fatality rate worldwide of 15%–65%.1–4 It is rare in developed countries, but it is a serious health problem in developing countries. NF has a high prevalence in northern Thailand, with an incidence of 7.45 cases per 100,000 in the general population,5 which is much higher than in developed countries (0.40–1.30 cases per 100,000).6,7

NF is a rapidly progressing soft tissue infection, with extensive necrosis involving the skin, subcutaneous tissue, and superficial fascia or muscle.8–11

In early stages, no pathognomonic signs appear suggest the diagnosis of NF. The signs and symptoms of NF are wide ranging, including cellulitis, vesicles, bullae, edema, crepitus, erythema, and fever. Sometimes, patients are treated for simple cellulitis until rapid decomposition occurs. The complications are usually severe sepsis and death. The reported sepsis rate associated with NF remains at 24%–30%.3,12,13

The identification of specific characteristic evidence and early diagnosis is essential to enable rapid treatment to reduce complications.14 Whenever the diagnosis and treatment are delayed or symptoms unidentified, postoperative morbidity or mortality will increase.15–17 Previous studies have demonstrated that risk factors for severe sepsis or death were sex,18 age,1,6,13,18 underlying disease,1,6,13,19 clinical presentation,1,13,18,19 microorganisms in the wound(s) or hemoculture,13 and time from admission to surgical intervention.8,18 Unfortunately, the time from admission to operation was not available in medical record data, therefore important variables such as delayed operation did not included in data analysis.

The aim of this study was to explore clinical characteristics that may be used to predict severe sepsis, in NF patients undergoing routine clinical treatment in northern Thailand. The findings may be incorporated into clinical evaluation in the future. Awareness and prevention of disease complications may reduce the incidence of severe sepsis.

Patients and methods

This study was a retrospective observational cohort study. Patient ascertained to have NF by surgical or pathological confirmation were the study cohort. A main purpose of the study was the exploration of potential prognostic factors predicting severe sepsis. NF was defined by the presence of necrosis of the subcutaneous tissue and fascia, with variable involvement of skin and muscle, and confirming operative findings by the surgeon. In the absence of histopathology, the diagnosis required the presence of gray necrotic fascia and necrosis detected during surgery.7,16 The Infectious Diseases Society of America practice guidelines were used to diagnose NF patients in this cohort, mainly involving the history, and clinical signs and symptoms of the patients.20 Computed tomography (CT) scan and magnetic resonance imaging (MRI) were not used to diagnose infections or evaluate the patients before surgery because of its unavailability in provincial hospitals.

The patients were registered and treated at three provincial hospitals in Chiang Rai, Kamphaeng Phet, and Phayao, in northern Thailand, from 2009 to 2012. The patient characteristics studied included sex, age, body mass index (BMI), education, occupation, underlying diseases, wound appearance and site of wound. The vital signs and laboratory data were recorded at the time of admission, and 48–72 hours after admission. We clearly excluded all possible severe sepsis cases at admission to avoid incorporation bias. As well immortal time bias should be minimal in this study because the time that potential prognostic factors were collected was at the time of admission. This study aimed to explore factors at admission that predicted severe sepsis afterward, therefore, immortal bias should not have affected the results of this study.

Patients were assessed by emergency department physicians and treated with broad-spectrum antibiotics. All cases were evaluated, and all required surgical procedure. Treatments in this study were defined as surgical procedures in the operating room and included incision, drainage, debridement of the necrotic fascia or muscle, fasciotomy, and amputation. All debrided tissue was dissected, and tissue culture performed. The definition of sepsis was the presence of two or more of the following features of the Systemic Inflammatory Response Syndrome (SIRS) criteria,21 from a collection of clinical signs and laboratory investigations, as follows: fever (core temperature >38.3°C) or hypothermia (core temperature <36°C); heart rate >90/min or >2 standard deviations (SDs) above the normal value for age; tachypnea or partial pressure of carbon dioxide (PCO2) <4.3 kPa; and leukocytosis (white blood cell [WBC] count >12,000/mm3) or leukopenia (WBC count <4,000/mm3) or normal WBC count with >10% immature forms and evidence of source infection causing the above. The study outcome was severe sepsis, which was defined as sepsis with at least one organ dysfunction, including: cardiovascular system (treated with dopamine >5 mcg/kg/min or other vasopressive drugs at any dose, if used to increase BP >1 hour after adequate volume resuscitation); respiratory system (ratio of arterial oxygen partial pressure to fractional inspired oxygen [PaO2/FiO2] <200); renal system (urine output <0.5 mL/kg/hour for at least 2 hours after adequate volume resuscitation); coagulopathy (platelet count <100,000 cell/mm3 or international normalized ratio [INR] >1.5); and metabolic acidosis (blood lactate level > upper normal limit value). Determinants to outcome time started at admission date to discharge date (follow-up time). There were no cases lost to follow up in this cohort.

Patients were divided in two groups: with and without severe sepsis. The study design was prognostic descriptive research with a retrospective cohort. All enrolled patients were registered and treated at three provincial hospitals in Chiang Rai, Kamphaeng Phet, and Phayao province, in northern Thailand. The statistical analysis in this study included three-stage analysis as follows: step 1 involved the analysis of demographic and clinical characteristic patient data, carried out with descriptive statistics and comparing variables among groups with and without severe sepsis. Categorical data were expressed as count and percentage, and analyzed by Fisher’s exact test. Continuous data were expressed as mean or median, with SD or interquartile range analyzed by Student’s t-test or Wilcoxon rank sum test, depending on data distribution. In step 2, univariable analysis was carried out using a risk regression generalized linear model, with cluster hospitals used to identify the independent risk factors for severe sepsis, presented with risk ratio and 95% confidence interval (CI). In step 3, clinically significant variables and statistically significant variables (P-value <0.05) in the univariable analysis model were included in a multivariable risk regression analysis, with generalized linear model cluster hospitals and step-backward method used to identify the independent risk factors for severe sepsis. Presentation with 95% CI and a P-value ≤0.05 were considered statistically significant.

We decided to use a multiple imputation method for variables with ≥10% missing values (an acceptable missing values in general is up to 10%).22 We used logistic regression to estimate missing values for each variable, using STATA. A modest amount of missing formation is recommended for three to five multiple imputations (<30%)23 and then estimate the whole model. After that, we compared results from a complete-case analysis and multiple imputations analysis. If the final model by multiple imputations gave the same results or had only a slightly different RR, we decided to report the result from the complete data set (case analysis).

Multicollinearity among variables in patients characteristics were considered during data analysis. The study flow of this study is shown in Figure 1.

Figure 1

Study flow.

Abbreviation: NF, necrotizing fasciitis.

This study was approved by the Ethics Committees of the Chiang Rai Prachianukroh Hospital and Faculty of Medicine, Chiang Mai University.

Results

A total of 1,452 eligible NF patients were included in this study. In all, 237 patients (16.3%) had severe sepsis, and 1,215 patients (83.7%) had no severe sepsis after treatment. A total of 237 patients had organ dysfunction, and 350 organs were involved as shown in Table 1. Microorganisms in blood and wound cultures are shown in Table 2. The number of positive and negative blood/wound culture was calculated based upon the number of patients where a blood/wound culture was performed, eg, 69 patients of 400, 330 patients of 400, 460 patients of 714, and 254 patients of 714. Blood culture and wound culture were not performed in 1,052 and 738 patients, respectively.

Table 1

Organ dysfunction in patients with necrotizing fasciitis and severe sepsis

Organ involved	n (%)
Acute renal failure	136 (57.4)
Respiratory failure	195 (82.3)
Heart failure	8 (3.4)
CNS (delirium)	11 (4.6)

Notes: The data reflect 237 patients and 350 organs. Values are expressed as n (%).

Abbreviation: CNS, central nervous system.

Table 2

Microorganisms in blood and wound cultures of patients with necrotizing fasciitis

Organism	Severe sepsis		Without severe sepsis
	Blood	Wound	Blood	Wound
Gram-positive
Staphylococcus aureus	3 (2.2)	13 (9.7)	2 (0.8)	76 (13.3)
MRSA	2 (1.4)	2 (1.5)	0 (0.0)	7 (1.2)
Coagulase negative staphylococcus	8 (5.7)	14 (10.7)	13 (5.1)	31 (5.4)
Streptococcus pyogenes	4 (2.9)	32 (24.1)	5 (2.0)	84 (14.7)
Other gram-positive	5 (3.6)	4 (3.1)	5 (2.0)	22 (3.9)
Gram-negative
Acinetobacter spp.	2 (1.5)	9 (6.7)	1 (0.4)	27 (4.7)
MDR Acinetobacter spp.	0 (0.0)	2 (1.5)	0 (0.0)	2 (0.4)
Citrobacter spp.	1 (0.7)	2 (1.5)	1 (0.4)	16 (2.8)
Escherichia coli	3 (2.2)	15 (11.3)	1 (0.4)	33 (5.8)
E. coli (ESBLs)	1 (0.7)	2 (1.5)	1 (0.4)	8 (1.4)
Klebsiella pneumoniae	3 (2.2)	2 (1.5)	1 (0.4)	31 (5.5)
K. pneumoniae (ESBLs)	1 (0.7)	1 (0.8)	0 (0.0)	4 (0.7)
Pseudomonas aeruginosa	5 (3.6)	18 (13.4)	3 (1.2)	33 (5.8)
Aeromonas hydrophila	0 (0.0)	0 (0.0)	0 (0.0)	4 (0.7)
Other gram-negative	0 (0.0)	4 (3.0)	0 (0.0)	27 (4.7)

Notes: Of 1,452 patients, the blood culture was not done in 1,052 (72.5%). Positive isolates were found in 69 patients (4.8%), and no bacterium was found in 330 patients (22.7%). Wound culture was carried out with 714 patients (49.2%), and 460 patients showed positive isolated specimens (31.7%); 254 patients (17.5%) had negative wound culture. Values are expressed as n (%).

Abbreviations: ESBL, extended spectrum β lactamase; MDR, multidrug resistant; MRSA, methicillin-resistant Staphylococcus aureus.

Streptococcus pyogenes was the most common gram-positive organism in wound cultures, both in the severe sepsis group (49.2%) and in the “without severe sepsis” group (38.1%). Coagulase-negative staphylococcus was the most common gram-positive pathogen in blood cultures, both in the severe sepsis group (36.4%) and without severe sepsis group (52%). Overall, the percentage of S. pyogenes infection was 41.4% in the severe sepsis group and 36.3% in the without severe sepsis group. The overall percentage coagulase-negative staphylococcus infection was 25.3% in the severe sepsis group and 18.0% in the without severe sepsis group. Methicillin-resistant Staphylococcus aureus (MRSA) was found in 4.6% and 2.9% of the severe sepsis group and without severe sepsis group, respectively.

Pseudomonas aeruginosa was the most common gram-negative organism in blood cultures and wound cultures, and was found in 31.3% and 32.7.5%, respectively, of the severe sepsis group and in 37.5% and 17.8%, respectively, of the without severe sepsis group. The overall percentage of P. aeruginosa infection was 32.4% in the severe sepsis group and 18.7% in the without severe sepsis group. Multidrug resistant Acinetobacter spp. were found in 2.8% of the severe sepsis group and 1.0% of the without severe sepsis group. Extended spectrum β lactamases (ESBL)-producing strains isolates of Escherichia coli and Klebsiella pneumonia were found in 2.1% and1.4% in severe sepsis group and 4.6% and 2.1% in without severe sepsis group respectively. Sex, age, education, occupation, some underlying diseases (chronic heart disease, renal disease, hypertension, and gout), some of the wound characteristics (erythema and hemorrhagic bleb), severe pain, some laboratory results on admission (polymorphonuclear neutrophils [PMNs], creatinine, bicarbonate, and total protein), laboratory results at 48 and 72 hours (WBC, PMNs, creatinine, bicarbonate, total protein), some of the vital signs on admission (pulse, respiratory rate, and systolic and diastolic blood pressure), and the vital signs at 48–72 hours (body temperature, pulse, respiratory rate, and systolic and diastolic blood pressure) showed statistically significant differences between the groups, as shown in Table 3 and Table 4. The number of amputations in the severe sepsis group was significantly higher than that in the without severe sepsis group (13.5% in the severe sepsis group and 7.8% in the without severe sepsis group) (P=0.008).

Table 3

Demographic characteristics and clinical manifestations in patients with necrotizing fasciitis, with severe sepsis and without severe sepsis (n=1,452)*

Characteristics	Severe sepsis (n = 237)	Without severe sepsis (n = 1,215)	P-value
Sex			0.027
Male	118 (49.8)	700 (57.7)
Female	119 (50.2)	514 (42.3)
Age (years)			<0.001
<60	77 (32.9)	594 (49.3)
≥60	157 (67.1)	611 (50.7)
BMI			0.668
≤18.50	27 (13.1)	162 (14.9)
18.51–29.99	161 (78.2)	844 (77.6)
≥30.00	18 (8.7)	81 (7.5)
Education			<0.001
No education	135 (57.2)	483 (39.8)
Primary education	97 (41.1)	648 (53.4)
Secondary education	4 (1.7)	56 (4.6)
Bachelor’s degree and more	0 (0.0)	26 (2.2)
Occupation			0.010
Elderly who stays at home	129 (54.4)	537 (44.2)
Farmers/laborers	101 (42.6)	612 (50.4)
Officials	7 (3.0)	65 (5.4)
Underlying disease
Diabetes	70 (29.5)	308 (25.4)	0.195
Heart disease	29 (12.3)	61 (5.0)	<0.001
Renal disease	13 (5.5)	30 (2.5)	0.019
Cirrhosis	14 (5.9)	42 (3.5)	0.094
Hypertension	107 (45.2)	406 (33.4)	0.001
Gout	39 (16.5)	100 (8.3)	<0.001
Chronic alcoholism	40 (16.9)	185 (15.2)	0.556
Wound appearance
Soft tissue swell	193 (81.4)	1,018 (83.8)	0.390
Erythema	154 (65.0)	587 (48.3)	<0.001
Bleb	133 (56.1)	489 (40.3)	<0.001
Necrosis	73 (30.8)	317 (26.1)	0.149
Gangrene	8 (3.4)	29 (2.4)	0.368
Severe pain	222 (93.7)	1,045 (86.1)	0.001
Site of wound			0.384
Head and neck	1 (0.4)	5 (0.4)
Trunk	7 (3.0)	19 (1.6)
Upper limb	47 (19.8)	213 (17.5)
Lower limb	175 (73.9)	952 (78.3)
Fournier’s gangrene	6 (2.5)	23 (1.9)
Multiple sites	1 (0.4)	3 (0.3)
Hospital			0.718
Chiang Rai	121 (51.1)	654 (53.8)
Kamphaeng Phet	95 (40.1)	455 (37.5)
Phayao	21 (8.8)	106 (8.7)

Notes: values are n (%).

Some variables have missing data, therefore, the total number of patients in each group maybe different from the number that shown in the title.

Abbreviation: BMI, body mass index.

Table 4

Laboratory findings, vital sign measurements, and outcomes in patients with necrotizing fasciitis, with severe sepsis and without severe sepsis (n=1,452)

Characteristics	Severe sepsis (n=237)	Without severe sepsis(n=1,215)	P-value
Laboratory on admission
WBC (/mm3)	17,755.7±10,808.7	16,897.8±8,782.5	0.609
PMN (%)	85.5±10.2	81.5±11.9	<0.001
Creatinine (mg/dL)	2.9±1.7	1.7±1.3	<0.001
Bicarbonate (mmol/L)	17.2±5.4	22.7±4.6	<0.001
Total protein (g/dL)	5.7±1.0	6.6±1.0	<0.001
Laboratory 48–72 hours
WBC (/mm3)	16,462.0±8,182.7	13,509.9±7,700.0	<0.001
PMN (%)	84.5±12.8	76.2±14.5	<0.001
Creatinine (mg/dL)	2.8±1.9	1.9±1.6	<0.001
Bicarbonate (mmol/L)	23.4±28.6	22.4±5.1	0.002
Total protein (g/dL)	5.2±1.2	6.2±1.0	<0.001
Vital sign on admission
Body temp (°C)	37.2±1.0	37.3±0.9	0.183
Pulse (/minute)	96.6±17.2	89.6±14.6	<0.001
Respiratory rate (/minute)	21.5±5.1	20.3±1.7	<0.001
Systolic blood pressure (mmHg)	103.5±26.2	120.6±22.5	<0.001
Diastolic blood pressure (mmHg)	62.2±15.8	72.2±13.5	<0.001
Vital sign 48–72 hours
Body temp (°C)	37.5±1.1	37.2±0.7	<0.001
Pulse (/minute)	96.0±19.6	86.1±12.3	<0.001
Respiratory (/minute)	17.9±8.0	19.9±2.6	<0.001
Systolic blood pressure (mmHg)	117.1±21.4	121.3±16.7	0.002
Diastolic blood pressure (mmHg)	69.0±14.6	73.8±10.5	<0.001
Treatment and outcome
I&D	6 (2.5)	38 (3.1)	0.836
Debridement	152 (64.1)	796 (65.5)	0.709
Fasciotomy	95 (40.1)	525 (43.3)	0.389
Amputation	32 (13.5)	95 (7.8)	0.008
Antibiotic use in admission date			0.052
Cephalosporin + clindamycin	81 (34.2)	409 (33.7)
Cefazolin + cloxacillin + clindamycin	21 (8.9)	54 (4.5)
Cephalosporin + cloxacillin	16 (6.8)	46 (3.8)
Cloxacillin + clindamycin	25 (10.6)	189 (15.6)
Augmentin	16 (6.8)	164 (13.5)
Cloxacillin	12 (5.1)	142 (11.7)
Clindamycin	9 (3.8)	38 (3.1)
Other	57 (24.1)	171 (14.1)
Activity
Broad-spectrum antibiotic	126 (53.2)	539 (44.4)	0.015
In-hospital mortality rate	165 (69.6)	66 (5.5)	<0.001
Entire 28 days mortality rate	18 (7.6)	2 (0.2)
Length of hospitals stay (days) Median (IQR)	9 (3–17)	8 (5–14)	0.805

Note: Values are mean ± standard deviation or n (%).

Abbreviations: I&D, incision and drainage; PMN, polymorphonuclear neutrophils; WBC, white blood cell count; IQR, interquartile range.

The most common antibiotic used in both groups was a third-generation cephalosporin combined with clindamycin (34.2% in the severe sepsis group and 33.7% in the without severe sepsis group); however, overall, broad-spectrum antibiotic use was only 53. 2% in the severe sepsis group and 44.4% in the without severe sepsis group. In univariable analysis, broad-spectrum antibiotic use was significantly higher in the severe sepsis group; however, in multivariable analysis, there was no statistically significant difference.

In patients with severe sepsis and without severe sepsis, 165 of 237 patients (90.2%) and 66 of 1,215 patients (97.1%), respectively, died in hospital, and the entire 28-day mortality rate was 18 of 237 (9.8%) and two of 1,215 (2.9%), respectively, as shown in Table 4. In the subgroup analysis, the number of females ≥60 years was higher than for males (57.6% versus 50.1%) (P=0.005). Moreover, the number of females who had underlying diabetes or heart disease was significantly higher than that for males, as shown in Table 5.

Table 5

Subgroup analysis of age and underlying between male and female in patients with necrotizing fasciitis (n=1,438–1,451)

Characteristics	Male	Female	P-value
Age (year)			0.005
≥60	406 (50.1)	361 (57.6)
<60	405 (49.9)	266 (42.4)
Underlying			<0.001
Diabetes
Yes	182 (22.3)	195 (30.9)
No	636 (77.7)	437 (69.1)
Heart disease			0.011
Yes	39 (4.8)	51 (8.1)
No	778 (95.2)	580 (91.9)
Renal disease			0.086
Yes	30 (3.7)	13 (2.1)
No	787 (96.3)	620 (97.9)
Cirrhosis			<0.001
Yes	45 (5.5)	11 (1.7)
No	773 (94.5)	622 (98.3)
Hypertension			<0.001
Yes	243 (29.7)	269 (42.5)
No	575 (70.3)	364 (57.5)
Gout			<0.001
Yes	113 (13.8)	26 (4.1)
No	705 (86.2)	607 (95.9)

All variables were analyzed by univariable risk regression analysis, as shown in Table 6, and the characteristics and clinically significant variables, such as necrosis, diabetes and all statistically significant variables (P-value <0.05) in the univariable model were included in the multivariable analysis model. The step backward elimination method of multivariable risk regression analysis was used to identify independent predictive factors of severe sepsis, as shown in Table 7. The results demonstrated that the characteristics related to severe sepsis were: female (relative risk [RR] =1.51, 95% CI =1.04–2.20, P=0.03), age ≥60 year (RR =1.25, 95% CI =0.98–1.61, P=0.076), diabetes mellitus (RR =1.40, 95% CI =1.25–1.58, P<0.001), chronic heart disease (RR =1.31, 95% CI =1.15–1.49, P<0.001), hemorrhagic bleb (RR =1.47, 95% CI =1.32–1.63, P<0.001), skin necrosis (RR =1.45, 95% CI =1.34–1.57, P<0.001), and serum protein <6 g/dL (RR =2.67, 95% CI =1.60–4.47, P<0.001).

Table 6

Data shown univariable risk regression analysis of severe sepsis demonstrated by risk ratio, 95% confidence interval and P-value

Risk factors	RR	95% CI	P–value
Female	1.30	0.86–1.98	0.213
Age ≥60	1.78	1.42–2.24	<0.001
BMI ≤18.50	0.89	0.61–1.31	0.556
BMI ≥30.00	1.13	0.59–2.17	0.720
Primary education	0.66	0.58–0.75	<0.001
Secondary education	0.40	0.14–1.10	0.075
Bachelor’s degree and more	1.11	2.31–5.33	<0.001
Elderly who stay at home	1.40	1.21–1.64	<0.001
Famers/labors	0.77	0.68–0.87	<0.001
Official	0.58	0.35–0.96	0.033
Diabetes	1.19	0.79–1.78	0.401
Heart disease	2.12	1.83–2.44	<0.001
Renal disease	1.90	0.97–3.73	0.062
Cirrhosis	1.57	0.81–3.01	0.180
Hypertension	1.51	1.31–1.74	<0.001
Gout	1.86	1.72–2.21	<0.001
Chronic alcoholism	1.11	0.85–1.45	0.458
Swell	0.87	0.59–1.29	0.494
Erythema	1.78	1.17–2.70	0.007
Bleb	1.71	1.40–2.09	<0.001
Skin necrosis	1.21	1.06–1.38	0.005
Gangrene	1.34	0.95–1.88	0.099
Severe pain	2.15	1.74–2.65	<0.001
Head and neck	1.02	0.14–7.36	0.983
Trunk	1.67	1.32–2.12	<0.001
Upper limb	1.13	0.89–1.14	0.305
Lower limb	0.81	0.77–0.86	<0.001
Fournier’s gangrene	1.27	0.87–1.87	0.213
Multiple site	1.53	0.71–3.34	0.280
Total protein <6 (g/dL)	2.97	2.09–4.21	<0.001
Broad-spectrum antibiotic	1.33	1.08–1.65	0.007

Abbreviations: BP, blood pressure; BMI, body mass index; CI, confidence interval; nd, not defined; PMN, polymorphonuclear neutrophils; RR, relative risk ratio; WBC, white blood cell.

Table 7

Summarized independent predictors of severe sepsis in patients with necrotizing fasciitis using multivariable analysis generalized linear model with step backward method (n=1,452)

Risk factors	RR	95% CI	P–value
Female	1.51	1.04–2.20	0.032
Age >60 years	1.25	0.98–1.61	0.076
Diabetes	1.40	1.25–1.58	<0.001
Heart disease	1.31	1.15–1.49	<0.001
Bleb	1.47	1.32–1.63	<0.001
Necrosis	1.45	1.34–1.57	<0.001
Total protein <6 g/dL	2.67	1.60–4.47	<0.001

Abbreviations: CI, confidence interval; RR, relative risk ratio.

Discussion

In northern Thailand, the major occupations are farmers and laborers who have poor hygiene practices and low education; therefore, appropriate wound care can be a common problem and has become the leading cause of adverse events among NF patients.

Previously, many studies have reported the risk factors for mortality or morbidity in NF patients and found that female sex, advanced age, underlying heart disease, diabetic mellitus, liver cirrhosis, and signs and symptoms such as low systolic blood pressure, hemorrhagic bullae, skin necrosis, or gas gangrene/crepitus, large body surface area, renal insufficiency (serum creatinine >2 mg/dL), elevated blood lactate level, hyponatremia, longer time from admission to first debridement, type of organism, leukocytosis, acidosis, and hypoproteinemia or hypoalbuminemia were all risk factors of morbidity and severe sepsis. However, these studies had no definite conclusion, and the sample size of each study was quite low (67–472 cases).1,6,13,18,19,24–28

NF is frequently associated with severe sepsis and rapid death. The overall severe sepsis rate for NF was 16.3% in this study, lower than that reported in other studies.3,12,13 Huang et al13 reported the overall rate of bacteremia was 23.7% – because patients had not received antimicrobial therapy in the time at the emergency room, this lead to the high rate of bacteremia. In our cohort, all patients were assessed by emergency physicians and treated with broad-spectrum antibiotics in the emergency room, and this may have caused the low rate of severe sepsis.

This study found that the clinical profiles related to severe sepsis were female sex, diabetes, chronic heart disease, serum protein <6 d/dL, hemorrhagic bleb, and skin necrosis. Huang et al13 reported that bacteremia was a frequent complication of NF, presenting in 23.7% of 472 patients. They found predictors of mortality involving NF included cirrhosis, subcutaneous emphysema, Aeromonas infection, age older than 60 years, band neutrophils, neutrophils greater than 10%, activated partial thromboplastin time greater than 60 seconds, bacteremia, and serum creatinine level greater than 2 mg/dL.

Tsai et al29 carried out a study involving 143 patients with NF and found that lower systolic blood pressure, lower total and segmented leukocyte counts, higher banded leukocyte counts, and lower serum albumin levels could predict mortality.

The results of this study revealed that in NF patients, females had significantly higher risk of severe sepsis than males. In the subgroup analysis, we found that females had more advanced age than males; the number of females ≥60 years was higher than that of males (57.6% versus 50.1%) (P=0.005). Moreover, the number of females who had underlying diabetes or heart disease were significantly higher than for males (30.9% versus 22.3% [P<0.001] and 8.1% versus 4.8% [P=0.011], respectively). These results were similar to those reported in the study of Elliott et al18 demonstrating that being female and having advanced age increased the risk of mortality. However, a few studies showed that occurrence among females showed no statistically significant difference.3,13,19 Having diabetes and chronic heart disease also increased the risk of severe sepsis, due to low immunity. The low immunity could be caused by tissue ischemia from the peripheral vascular compromise, which decreases phagocytosis; moreover, hyperglycemia can promote bacterial growth.1,30,31 Underlying conditions such as diabetes mellitus and cutaneous gangrene with evidence of sepsis on admission were associated with amputation as presented by Dworkin et al;1 however, other studies found that underlying disease had no effect on the risk of amputation.3,18 Our study found that gout was seemingly related with severe sepsis in univariable analysis but was not associated with severe sepsis in the multivariable model, as found in previous study.32

Clinical characteristics such as hemorrhagic bleb (RR =1.47, 95% CI =1.32–1.63, P<0.001) and skin necrosis (RR =1.45, 95% CI =1.34–1.57, P<0.001) on admission increase the risk of severe sepsis. The traumatized skin in these conditions allows easy access for bacteria, and then the bacteria multiply swiftly within the subcutaneous tissue and fasciae. Infection also spreads to venous and lymphatic channels, resulting in ischemia and gangrene; the spread of bacteria results in thrombosis of the blood vessels, and nerve, skin, and epidermis damage, leading to tissue edema and possible progression to hemorrhagic bleb.3,8 In previous studies,16,33 the presence of hemorrhagic bleb and skin necrosis were seen in the later stages of NF. In addition, infection with toxin-producing bacteria can result in sepsis and multiple organ failure.33–36 Hsiao et al25 reported that hemorrhagic bleb was an independent predictor of mortality in patients with NF. This means that NF patients presenting hemorrhagic bleb on admission have a poor prognosis of survival.

This study also found that total protein levels <6 g/dL increases the risk of severe sepsis. Proteins are one of the most important factors for the tissue healing process and for hormonal and immunological functions. Patients who have serum total protein <6 g/dL may have an association with malnutrition, nephrotic syndrome, chronic renal failure, or severe liver disease and may have an increased risk of severe sepsis. Previous studies26,37 have demonstrated that albumin levels in the plasma, reflecting the patient’s nutritional status and serum albumin concentration, were a better predictor of surgical outcomes than were most preoperative patient characteristics. Provision of sufficient nutritional support reduced the progression to organ failure and improved outcome.

In clinical practice, antibiotic resistance is one of the most important universal problems. The prevalence of drug resistance differs from place to place. Previous studies have reported risk factors for drug resistance were long-term use of antibiotics, dose antibiotic usage, prolonged hospital stay, and underlying diabetes.38–40 The best strategies for prevention and control of antibiotic drug resistance are optimizing antibiotic usage and infection control. The pathogens most commonly found to cause of NF are S. aureus and S. pyogenes. Therefore, MRSA and erythromycin-resistant S. pyogenes might occur and cause problematic choices of antibiotic use.38 In this study, the incidence of MRSA and ESBL producing strains isolates of E. coli and K. pneumonia infection were high in patients with severe sepsis, however, there were no statistically significant differences between the severe sepsis and the non-severe sepsis group. The risk factors for MRSA infection according to previous studies38–40 are elderly patients with diabetes mellitus (five cases), long-term use of antibiotics and prolonged hospital stay in ICU (four cases), and having history of previous operation (three cases). Because of the low incidence of MRSA and ESBL infection in this study, we could not identify statistically significant risk factors for these infections, which were mentioned in previous reports.38–40

One of the most important determinants of mortality and morbidity is the delay of surgical intervention after admission. Early diagnosis associated with early surgical intervention and antibiotic treatments are mainstays in the treatment of NF. Previous studies reported that delayed operation for debridement was associated with increased mortality rates.3,8,18 Unfortunately, the timing of surgical variables was not available in this study because our study was a retrospective nature and some important variables were omitted from the medical records. However, Salvador et al26 reported that a delay in debridement of over 24 hours after admission was not associated with increased risk for mortality. Regarding antibiotic treatment, this study found that only 45.8% (665 in 1,542) of patients received broad-spectrum antimicrobial therapy. The possible reason was missed diagnosis at the time of admission, as cellulitis is quite difficult to distinguish at the early stage of NF. However, from multivariable analysis, antibiotic used was not a predictor for severe sepsis.

According to the review literature, the prognostic tool for evaluation of the severity of NF on admission is the Laboratory Risk Indicator for Necrotizing Fasciitis (LRINEC) score.41 The LRINEC score includes six marker variables (C-reactive protein, total WBC count, hemoglobin, serum sodium, serum creatinine, and serum glucose). In addition, in critical care, a prognostic scoring system used to evaluate disease and describe morbidity is the Acute Physiology and Chronic Health Evaluation II (APACHE II)42 score. This study could not apply either of these index scores because of its retrospective design, wherein some important variable data were unavailable – because of laboratory limitations in provincial hospitals, tests such as serum C-reactive protein, arterial blood gas, and organism cultures were not performed in all cases.

Mortality rate in NF patients with severe sepsis both in-hospital and over the entire 28 days were significantly higher than in patients without severe sepsis (P<0.001). Thus severe sepsis was associated with increased mortality rate, similar to previous studies.13,18

Although the results of this study do not differ much from the many discussed above, the sample size of previous studies was quite low, and no definite conclusions were drawn. We developed a retrospective cohort study with a large sample size (1,452 patients) to identify risk factors for severe sepsis in NF patients. We focused on clinical history, physical examination, and laboratory findings available under the routine clinical practices and limited resources of provincial hospitals, to identify the clinical risk factors to predict severe sepsis. The results of this study are valuable because they are suitable for specific regional areas where physicians can use these risk factors to assess their patients using the limited resources that may be available at local hospitals. This is a realistic situation currently occurring in northern Thailand. However, the results of this study cannot be generalized to other parts of Thailand or to other developing countries in Asia where the development of medical resources and services, including surgical techniques and types of antibiotics, has rapidly improved. Interpretation and application of the results of this study to clinical practice should be done with care. Because this study used an exploratory model, all determinants played a role as predictors of the outcome, and therefore, no confounders were found in this study. The limitation of this study is its retrospective nature, and some important variables could not be extracted from medical record, as discussed above.

Conclusion

Clinical indicators for severe sepsis in patients with NF were female sex, diabetes mellitus, chronic heart disease, hemorrhagic bleb, skin necrosis, and serum protein <6 d/dL. Thus, patients presenting with at least one of these clinical predictors should be aware of the risk of disease progression to severe sepsis, and clinicians might consider investigating or monitoring systemic involvement progressing to morbidity and mortality.