Jiao Fang, Chun Gong, Puyu Su, Yuhui Wan, Zhihua Zhang, Fangbiao Tao, Ying Sun
Polygenic interactions with adiposity rebound in the prediction of thelarche
Pediatric research
puerperal sepsis significant factor maternal morbidity mortality especially regions lower income levels maternal mortality rates highest however largely avoided detected time recognizing dealing root causes early essential addressing problem therefore study aimed identify determinants puerperal sepsis among postpartum women tertiary care hospital ethiopia institutionalbased unmatched casecontrol study conducted among 266 postpartum women 88 cases 178 controls october 1 2023 november 30 2023 case two controls chosen using systematic random sampling approach data collected using intervieweradministered structured questionnaire medical record review collected data entered epi info version 72 analyzed using spss version 27 binary logistic regression analysis used model association puerperal sepsis independent variables variables crude association bivariable analysis p 025 entered analyzed multivariable binary logistic regression model identify statistically significant factors final model adjusted odds ratios 95 confidence intervals calculated determine strength association statistical significance declared p 005 rural residence aor 69 95 ci2771710 formal education aor 38 95 ci 255 1076 cesarean section delivery aor 51 95 ci 130 1100 complication pregnancy aor 46 95 ci 196 1110 independent determinants puerperal sepsis place residence maternal education level mode delivery complication pregnancy determinants puerperal sepsis crucial implement education awareness initiatives aimed mothers ensure universal access healthcare services advocate evidencebased delivery protocols conduct comprehensive antenatal screenings