| Literature DB >> 33605900 |
Xiao-Hui Chen1, Peng-Pai Qin2, Zhong-Xing Zhang2, Ji-Yan Lin1, Jing-Jing Zhang3.
Abstract
Entities:
Mesh:
Year: 2021 PMID: 33605900 PMCID: PMC8451494 DOI: 10.4103/aja.aja_6_21
Source DB: PubMed Journal: Asian J Androl ISSN: 1008-682X Impact factor: 3.285
Fournier’s gangrene severity index
|
|
|
|
| ||||||
|---|---|---|---|---|---|---|---|---|---|
|
|
| ||||||||
|
|
|
|
|
|
|
|
|
| |
| Temperature (°C) | >41 | 39–40.9 | - | 38.5–38.9 | 36–38.4 | 34–35.9 | 32–33.9 | 30–31.9 | <29.9 |
| Heart rate | >180 | 140–179 | 110–139 | - | 70–109 | - | 55–69 | 10–54 | <39 |
| Respiratory rate | >50 | 35–49 | - | 25–34 | 12–24 | 10–11 | 6–9 | - | <5 |
| Serum sodium (mmol l-1) | >180 | 160–179 | 155–159 | 150–154 | 130–149 | - | 120–129 | 111–119 | <110 |
| Serum potassium (mmol l-1) | >7 | 6–6.9 | - | 5.5–5.9 | 3.5–5.4 | 3–3.4 | 2.5–2.9 | - | <2.5 |
| Serum creatinine (mg per 100 ml, ×2 for acute renal failure) | >3.5 | 2–3.4 | 1.5–1.9 | - | 0.6–1.4 | - | <0.6 | - | - |
| Hematocrit (%) | >60 | - | 50–59.9 | 46–49.9 | 30–45.9 | - | 20–29.9 | - | <20 |
| White blood count (total mm-3 × 103) | >40 | - | 20–39.9 | 15–19.9 | 3–14.9 | - | 1–2.9 | - | <1 |
| Serum bicarbonate (venous, mmol l-1) | >52 | 41–51.9 | - | 32–40.9 | 22–31.9 | - | 18–21.9 | 15–17.9 | <1.5 |
Nine variables including temperature, heart rate, respiratory rate, serum sodium, serum potassium, white blood count, serum creatinine, hematocrit, and serum bicarbonate were collected and assessed. -: no result
Comparison of gender differences on outcome in patients with Fournier’s gangrene
|
|
|
| |
|---|---|---|---|
| Age | 43.05±13.39 | 46.86±13.95 | 0.482 |
| Number of debridement | 1.55±0.84 | 1.43±0.53 | 0.708 |
| The days for the duration of hospital stay | 14.1±8.75 | 11.7±4.46 | 0.488 |
| FGSI | 1.87931±2.29475 | 1.71429±1.70434 | 0.855 |
Categorical variables were designated as the frequency (%) and the quantitative variables were designated as the mean±s.d. A comparison between categorical variables was carried out by Fisher’s exact or Chi-square test, while the difference between quantitative and ordinal variables was performed by applying Mann–Whitney U or Wilcoxon rank sum test. Statistical analysis was IBM SPSS Statistics version 25.0 (SPSS Inc., Chicago, IL). Data were considered significant when P<0.05. s.d.: standard deviation; FGSI: Fournier’s gangrene severity index