title: Prediction of the length of repeat post C-section hospital stay and comparison of perinatal outcomes in patients with ≥3 versus <3 previous C-section.
abstract: OBJECTIVE
  To create a model for prediction of repeat post cesarean section (CS) length of hospital stay (LOHS) in patients undergoing repeat CS. Our other aim was to compare the perinatal outcomes in patients with ≥3 versus <3 previous CS procedures.
  
  
  METHODS
  Individual characteristics, pre-, intra- and post-operative data of 186 pregnant women who had ≥3 previous CS were compared with 195 pregnant women with <3 previous CS.
  
  
  RESULTS
  Regression analyses revealed that models can be used to predict the dependents "postpartum LOHS" and "needed units of erythrocyte suspension", both pre-operatively and intra-operatively. Patients with ≥3 previous CS procedures were older, delivered earlier and had lower Apgar 1 and Apgar 5 values than patients with <3 previous CS. The rate of elective CS operations was lower in patients with ≥3 previous CS. Pregnant women ≥3 previous CS had significantly more severe intraperitoneal adhesion (IPA) and higher rate of bladder injury.
  
  
  CONCLUSIONS
  Prediction models can be conducted for LOHS and other perinatal and operative parameters in patients with previous CS. Pregnancy and repeat CS, even in patients with ≥3 previous CS procedures, are both safe conditions with optimal follow-up and management.
authors.affiliation: a Department of Perinatology , Zekai Tahir Burak Women's Health Care, Training and Research Hospital , Ankara , Turkey and.
authors.forename: Aykan
authors.initials: A
authors.lastname: Yucel
authors.affiliation: a Department of Perinatology , Zekai Tahir Burak Women's Health Care, Training and Research Hospital , Ankara , Turkey and.
authors.forename: Cem Yasar
authors.initials: CY
authors.lastname: Sanhal
authors.affiliation: a Department of Perinatology , Zekai Tahir Burak Women's Health Care, Training and Research Hospital , Ankara , Turkey and.
authors.forename: Ali Ozgur
authors.initials: AO
authors.lastname: Ersoy
authors.affiliation: b Department of Biostatistics , Yıldırım Beyazıt University , Ankara , Turkey.
authors.forename: Selcen
authors.initials: S
authors.lastname: Yuksel
authors.affiliation: a Department of Perinatology , Zekai Tahir Burak Women's Health Care, Training and Research Hospital , Ankara , Turkey and.
authors.forename: Salim
authors.initials: S
authors.lastname: Erkaya
authors.affiliation: a Department of Perinatology , Zekai Tahir Burak Women's Health Care, Training and Research Hospital , Ankara , Turkey and.
authors.forename: Dilek
authors.initials: D
authors.lastname: Uygur
mesh_terms: D000328:Adult; D017604:Cesarean Section, Repeat / Q000009:adverse effects* / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D007902:Length of Stay / Q000706:statistics & numerical data*; D016015:Logistic Models; D008875:Middle Aged; D011247:Pregnancy; D011256:Pregnancy Outcome; D012044:Regression Analysis; D012189:Retrospective Studies; D055815:Young Adult
keywords: Cesarean section; hospital stay length; outcomes; prediction