| Literature DB >> 35189821 |
Pascal M Frey1,2, Annelies S Zinkernagel2, Silvio D Brugger2, Daniel A Hofmaenner3, Pedro David Wendel Garcia4, Manuel R Blum1,5, Sascha David4, Reto A Schuepbach4, Philipp K Buehler4.
Abstract
BACKGROUND: Necrotizing soft-tissue infections are infections with high mortality. The use of immunoglobulins within a combination therapy including broad-spectrum antibiotics has been debated. We assessed potential benefits of immunoglobulins and hypothesized that they were associated with a treatment benefit in a high-resource setting.Entities:
Keywords: Combination therapy; Decision making; Intravenous immunoglobulins; Necrotizing soft tissue infections
Mesh:
Substances:
Year: 2022 PMID: 35189821 PMCID: PMC8862556 DOI: 10.1186/s12879-022-07135-6
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Baseline parameters, comorbidities, etiology and disease characteristics, microbiologic type, treatment, laboratory parameters at admission and antibiotics used
| Non-IVIG (n = 26) | IVIG (n = 22) | p-value | |
|---|---|---|---|
| Patient characteristics | |||
| Age (y) | 62.5 [54–71] (55–66) | 51 [43–63] (44–63) | 0.027 |
| Male sex | 17 (65.4%) | 10 (45.5%) | 0.244 |
| Smoking | 9 (34.6%) | 6 (27.3%) | 0.756 |
| Alcohol abuse | 5 (19.2%) | 4 (18.2%) | > 0.99 |
| Drug abuse | 3 (11.5%) | 1 (4.5%) | 0.614 |
| Steroids before NSTI diagnosis | 4 (15.4%) | 4 (18.2%) | > 0.99 |
| Immunosuppressed | 2 (7.7%) | 1 (4.5%) | > 0.99 |
| SAPS II score | 37 [21–64] (26–58) | 46.5 [36–69] (39–69) | 0.148 |
| Comorbidities | |||
| HIV | 0 (0%) | 1 (4.5%) | 0.458 |
| Hepatitis B/C | 4 (15.4%) | 1 (4.5%) | 0.357 |
| Active cancer | 3 (11.5%) | 0 (0%) | 0.239 |
| Diabetes | 7 (26.9%) | 4 (18.2%) | 0.514 |
| Arterial occlusion disease | 3 (11.5%) | 0 (0%) | 0.239 |
| Venous insufficiency | 1 (3.8%) | 2 (9.1%) | 0.587 |
| Renal impairment at admission | 7 (26.9%) | 13 (59.1%) | 0.039 |
| Liver impairment at admission | 1 (3.8%) | 5 (22.7%) | 0.081 |
| Etiology of NSTI | |||
| Trauma/wound | 10 (38.5%) | 5 (22.7%) | 0.351 |
| Skin lesion | 7 (26.9%) | 7 (31.8%) | 0.758 |
| Drug injection (iv) | 1 (3.8%) | 0 (0%) | > 0.99 |
| Intramuscular injection | 1 (3.8%) | 0 (0%) | > 0.99 |
| Hematogenic | 3 (11.5%) | 0 (0%) | 0.239 |
| Animal/insect bite | 2 (7.7%) | 2 (9.1%) | > 0.99 |
| Unknown/others | 2 (7.7%) | 8 (36.4%) | 0.152 |
| Characteristics of NSTI | |||
| Onset of symptoms until surgery (d) | 4 [2–10] (2–9) | 2.5 [2–5] (2–4) | 0.164 |
| Affected body surface area (%) | 5 [2–9] (4–9) | 6.5 [5–9] (5–9) | 0.228 |
| Affected body region | |||
| Arms | 5 (19.2%) | 2 (9.1%) | 0.429 |
| Legs | 15 (57.7%) | 12 (54.5%) | > 0.99 |
| Trunk | 4 (15.4%) | 6 (27.3%) | 0.478 |
| Genitals | 1 (3.8%) | 2 (9.1%) | 0.587 |
| Head/neck | 1 (3.8%) | 0 (0%) | > 0.99 |
| Type of NSTI | |||
| Polymicrobial | 9 (34.6%) | 4 (18.2%) | 0.329 |
| Monomicrobial | 14 (53.8%) | 17 (77.3%) | 0.132 |
| Unknown | 3 (11.5%) | 1 (4.5%) | 0.614 |
| Treatment | |||
| Negative pressure wound therapy | 21 (80.8%) | 19 (86.4%) | 0.71 |
| Amputation | 3 (11.5%) | 1 (4.5%) | 0.614 |
| Scrotectomy | 1 (3.8%) | 0 (0%) | > 0.99 |
| Secondary suture | 7 (26.9%) | 9 (40.9%) | 0.366 |
| Local flap | 1 (3.8%) | 2 (9.1%) | 0.587 |
| Free flap | 6 (23.1%) | 7 (31.8%) | 0.532 |
| Mesh-graft/euroskin transplantation | 19 (73.1%) | 17 (77.3%) | > 0.99 |
| Number of reoperations | 3.5 [3–7] (3–5) | 5.5 [4–8] (4–7) | 0.116 |
| Laboratory parameters (admission) | |||
| LRINEC score | 6 [4–8] (6–8) | 7 [5–9] (7–10) | 0.255 |
| White blood count (G/L) | 14.4 [7.5–22.7] (9.2–19.7) | 16.3 [8–25.2] (11.2–23) | 0.569 |
| Hemoglobin (g/dl) | 11.1 [8.1–13.1] (9.1–12.6) | 11.4 [9.6–12.3] (10–11.9) | 0.804 |
| Hematocrit (%) | 32.4 [24.7–38.4] (26.6–35.8) | 34.5 [29.5–36.1] (31.5–35.7) | 0.42 |
| Platelet count (G/L) | 216.5 [142–293] (168–276) | 141 [69–217] (90–217) | 0.088 |
| Alanine aminotransferase (U/L) | 39 [22–70] (24–58) | 49 [26–66] (30–66) | 0.622 |
| Alkaline phosphatase (U/L) | 95 [49–126] (66–115) | 96.5 [62–138] (62–130) | 0.833 |
| Lactate dehydrogenase (U/L) | 421.5 [279.5–647.5] (325–626) | 527 [425–567] (447–554) | 0.593 |
| Blood glucose level (mmol/l) | 6.9 [5.4–8.3] (5.7–8) | 6 [5.1–7.6] (5.3–6.6) | 0.258 |
| Urea (mmol/l) | 10 [5.6–12.6] (5.8–11.8) | 10.1 [7.1–17] (7.1–17) | 0.4 |
| Creatinine (umol/l) | 93 [73–173] (84–124) | 144.5 [92–280] (102–227) | 0.03 |
| Sodium (mmol/L) | 139 [133–142] (137–142) | 135.5 [133–139] (133–138) | 0.093 |
| Potassium (mmol/L) | 3.9 [3.7–4.2] (3.8–4.4) | 4 [3.6–4.4] (3.7–4.4) | 0.633 |
| C-reactive protein (mg/L) | 217.5 [91–324] (132–305) | 289 [118–350] (196–348) | 0.234 |
| Antibiotics used according to group | |||
| Aminopenicillins | 19 (73.1%) | 10 (45.5%) | |
| Cephalosporins | 12 (46.2%) | 18 (81.8%) | |
| Carbapenems | 13 (50%) | 9 (41%) | |
| Lincosamides | 21 (80.8%) | 22 (100%) | |
| Glycopeptides | 9 (34.6%) | 5 (22.7%) | |
| Quinolones | 8 (30.8%) | 2 (9.1%) | |
| Others | 6 (23.1%) | 4 (18.2%) | |
Data expressed as number (%) or median, [Interquartile Range] and (95% confidence interval), calculated where appropriate. Groups compared using Mann–Whitney U Test or Fisher’s exact test, as appropriate. IVIG, intravenous immunoglobulins; SAPS II, Simplified Acute Physiology Score II; NSTI, necrotizing soft tissue infection; LRINEC, laboratory risk indicator for necrotizing soft tissue infection
Fig. 1Isolated microorganisms from patients with monomicrobial etiology of NSTI (31 of 48 patients). The two detected Clostridium spp. were Clostridium perfringens and Clostridium septicum
Cumulative causative microorganisms stratified by IVIG treatment
| Non-IVIG (n = 44) | IVIG (n = 35) | |
|---|---|---|
| Group A streptococci | 6 (13.6) | 14 (40) |
| Other streptococci | 5 (11.4) | 3 (8.6) |
| Methicillin-sensitive | 8 (18.2) | 1 (2.9) |
| Methicillin-resistant S | 1 (2.3) | 0 |
| 2 (4.5) | 0 | |
| 5 (11.4) | 3 (8.6) | |
| Other Enterobacterales | 3 (6.8) | 2 (5.7) |
| 4 (9.1) | 0 | |
| 2 (4.5) | 2 (5.7) | |
| 3 (6.8) | 0 | |
| Others | 5 (11.4) | 10 (28.6) |
Data expressed as numbers and (percentages) per group. Number of causative pathogens may be larger than number of patients due to occasional polymicrobial infection. The two detected Clostridium spp. were Clostridium perfringens and Clostridium septicum. IVIG, intravenous immunoglobulins
Clinical outcomes according to group
| Non-IVIG (n = 26) | IVIG (n = 22) | |
|---|---|---|
| Clinical outcomes | ||
| In-hospital death | 8/26 (30.8%) | 5/22 (22.7%) |
| ICU length of stay (d) | 11.5 (3–19) | 11 (6–21) |
| Development of acute renal failure | 13/26 (50%) | 18/22 (81.8%) |
| Development of ARDS | 6/26 (23.1%) | 5/22 (22.7%) |
| Development of septic shock | 12/26 (46.2%) | 17/22 (77.3%) |
Data expressed as numbers and percentage (%) or median and (interquartile range, IQR). ICU, intensive care unit; ARDS, acute respiratory distress syndrome; IVIG, intravenous immunoglobulins
Treatment with intravenous immunoglobulins and clinical outcomes
| Clinical outcomes | Adjusted HR/SHRa (95% CI) |
|---|---|
| In-hospital death | 2.20 (0.24 to 20.2) |
| ICU length of stay | 0.90 (0.41 to 1.98) |
| Acute renal failure | 2.86 (1.33 to 6.15) |
| ARDS | 1.20 (0.36 to 4.03) |
| Septic shock | 1.86 (1.02 to 3.40) |
ICU, intensive care unit; ARDS, acute respiratory distress syndrome; HR, hazard ratio; SHR, subhazard ratio; CI, confidence interval
aFor death a Cox regression model was used, resulting in a hazard ratio (HR) as estimate of effect, while for all other clinical outcomes the use of a competing risk regression model according to Fine and Gray resulted in subhazard ratios (SHR). All analyses were adjusted for age, sex, affected body surface area and simplified acute physiology score (SAPS) II at admission. Values < 1 correspond with a lower risk of the outcome in patients treated with intravenous immunoglobulins