TY - JOUR
T1 - Immature granulocyte and mean platelet volume as a predictor of 30-day postoperative mortality in patients with sepsis caused by peritonitis
AU - Sinaga, Rudi Hartono
AU - Utariani, Arie
AU - Wardhani, Puspa
AU - Hardiono, Hardiono
N1 - Publisher Copyright:
© 2020 Bali Journal of Anesthesiology | Published by Wolters Kluwer-Medknow.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - Background: Prompt and reliable identification and risk stratification in sepsis patients are needed to reduce the risk of mortality. Immature granulocytes (IG) and mean platelet volume (MPV) are considered as the predictors of 30-day mortality in sepsis patients. This study aims to analyze the relationship between IG and MPV with 30-day mortality following emergency laparotomy in patients with sepsis due to peritonitis. Materials and Methods: In this observational retrospective study, IG, MPV value, and 30-day mortality were obtained from the medical records of sepsis patients due to peritonitis who underwent an emergency laparotomy that met the inclusion criteria. We recorded the patients' data that met the inclusion criteria from the medical records that consisted of age, sex, diagnosis, sequential organ failure assessment score, and routine laboratory examination at the time of admission. Then, we analyzed each variable to determine the valid predictors of mortality. Results: From a total of 107 patients, the mortality rate was 34.58%. IG of day 1 (cutoff = 1.05), MPV of day 3 (cutoff = 10.35), and mean difference of platelet volume between day-0 and day-3 (cutoff = 0.35) were valid predictors for 30-day mortality (P = 0.004, P = 0.006, and P < 0.001, respectively). The mean difference of platelet volume day-0 and day-3 had the highest sensitivity and specificity, which was 67.6% and 72.9%, respectively. Conclusion: The number of IG on day-1, MPV on day-3, and mean difference of platelet volume between day-0 and day-3 are the valid predictors of mortality in sepsis patients due to peritonitis who underwent emergency surgery within 30 days.
AB - Background: Prompt and reliable identification and risk stratification in sepsis patients are needed to reduce the risk of mortality. Immature granulocytes (IG) and mean platelet volume (MPV) are considered as the predictors of 30-day mortality in sepsis patients. This study aims to analyze the relationship between IG and MPV with 30-day mortality following emergency laparotomy in patients with sepsis due to peritonitis. Materials and Methods: In this observational retrospective study, IG, MPV value, and 30-day mortality were obtained from the medical records of sepsis patients due to peritonitis who underwent an emergency laparotomy that met the inclusion criteria. We recorded the patients' data that met the inclusion criteria from the medical records that consisted of age, sex, diagnosis, sequential organ failure assessment score, and routine laboratory examination at the time of admission. Then, we analyzed each variable to determine the valid predictors of mortality. Results: From a total of 107 patients, the mortality rate was 34.58%. IG of day 1 (cutoff = 1.05), MPV of day 3 (cutoff = 10.35), and mean difference of platelet volume between day-0 and day-3 (cutoff = 0.35) were valid predictors for 30-day mortality (P = 0.004, P = 0.006, and P < 0.001, respectively). The mean difference of platelet volume day-0 and day-3 had the highest sensitivity and specificity, which was 67.6% and 72.9%, respectively. Conclusion: The number of IG on day-1, MPV on day-3, and mean difference of platelet volume between day-0 and day-3 are the valid predictors of mortality in sepsis patients due to peritonitis who underwent emergency surgery within 30 days.
KW - Immature granulocyte
KW - mean platelet volume
KW - peritonitis
KW - sepsis
UR - http://www.scopus.com/inward/record.url?scp=85116425202&partnerID=8YFLogxK
U2 - 10.4103/BJOA.BJOA_114_20
DO - 10.4103/BJOA.BJOA_114_20
M3 - Article
AN - SCOPUS:85116425202
SN - 2549-2276
VL - 4
SP - 166
EP - 171
JO - Bali Journal of Anesthesiology
JF - Bali Journal of Anesthesiology
IS - 4
ER -