{Reference Type}: Journal Article
{Title}: Lymphocyte-to-C-reactive protein ratio as a new biomarker for predicting mortality and morbidity in Fournier's gangrene.
{Author}: Yildirim M;Gul SC;Angın YS;Saglam AI;Ozsoy U;Koca B;Ozkan N;
{Journal}: Cir Cir
{Volume}: 92
{Issue}: 2
{Year}: 2024
{Factor}: 0.416
{DOI}: 10.24875/CIRU.22000529
{Abstract}: OBJECTIVE: The purpose of this study was to research the neutrophil-lymphocyte ratio (NLR), lymphocyte-to-C-reactive protein ratio (LCR), and Fournier's Gangrene Severity Index (FGSI) for predicting prognosis and mortality in patients with Fournier's gangrene (FG).
METHODS: Patients diagnosed with FG and treated in a tertiary referral hospital in the period from January 2013 to June 2020 were reviewed. LCR, FGSI, and NLR values were calculated.
RESULTS: Our series included a total of 41 patients. Of the patients, 78% survived and 21.9% (n = 9) died. Survivors were significantly younger than non-survivors (p = 0.009). Hospital costs were higher in non-survivors and close to statistical significance (p = 0.08). The ROC analysis revealed that the FGSI, LCR, and NLR parameters were significant in identifying survivors and non-survivors (AUC = 0.941 [0.870-1.000], p < 0.001; AUC = 0.747 [0.593-0.900], p = 0.025; and AUC = 0.724 [0.548-0.900], p = 0.042).
CONCLUSIONS: A low LCR value can be used as a marker to assess mortality and disease severity in patients with Fournier's gangrene.
OBJECTIVE: Investigar el cociente neutrófilos-linfocitos (CNL), el cociente linfocitos-proteína C reactiva (CLP) y el índice de gravedad de la gangrena de Fournier (IGGF) para predecir el pronóstico y la mortalidad en pacientes con gangrena de Fournier (GF).
UNASSIGNED: Se revisaron los pacientes diagnosticados de GF y atendidos en un hospital de tercer nivel de referencia en el período de enero de 2013 a junio de 2020. Se calcularon los valores de CLP, IGGF y CNL.
RESULTS: Nuestra serie incluyó 41 pacientes, de los cuales el 78% sobrevivieron y el 21.9% (n = 9) fallecieron. Los supervivientes eran significativamente más jóvenes que los no supervivientes (p = 0.009). Los costes hospitalarios fueron mayores en los no supervivientes y cercanos a la significación estadística (p = 0.08). El análisis ROC reveló que los parámetros IGGF, CLP y CNL fueron significativos para identificar supervivientes y no supervivientes (AUC: 0.941 [0.870-1.000], p < 0.001; AUC: 0.747 [0.593-0.900], p = 0.025; AUC: 0.724 [0.548-0.900], p = 0.042).
CONCLUSIONS: Un valor bajo de CLP se puede utilizar como marcador para evaluar la mortalidad y la gravedad de la enfermedad en pacientes con GF.