Reproductive health of Syrian refugee women in Lebanon: a descriptive analysis of the Sijilli electronic health records database.

BACKGROUND: The Syrian conflict has been responsible for the highest exodus of refugees, with Lebanon hosting the greatest number of refugees per capita, which placed a significant strain on an already overburdened healthcare system. Women are the most vulnerable group in times of conflict and displacement, with sexual and reproductive health and rights often neglected. This study focuses on the obstetric characteristics and pregnancy outcomes of Syrian Refugee (SR) women in Lebanon, in Comparison to their pre-displacement data. METHODS: This study is a secondary analysis of de-identified data from the Sijilli database. The data reported and analyzed were the refugees' socio-demographics, obstetric history, pregnancy outcomes, experienced maternal and neonatal complications, breastfeeding history and duration, and contraception use and types. Data were reported in both frequencies and means/medians. Chi-square test, t-test, and ANOVA tests were used to compare pregnancies in Syria to those that happened in Lebanon. RESULTS: A total of 1065 female records were included in this study, with 634 ever-pregnant women and the total number of pregnancies being 3272. SR women were shown to get pregnant in Lebanon at a younger age compared to cases in Syria. The number of gravidities is equal in women who got pregnant in Syria and those who moved later to Lebanon. The mean spacing between pregnancies has decreased comparing SR women who got pregnant in Syria only versus those who got pregnant in Lebanon only. Among the mixed group, the mean spacing between pregnancies as well as the prevalence of spontaneous abortions significantly increased after displacing to Lebanon. C-section rate was higher among SR women after moving to Lebanon. Also, maternal complications and not breastfeeding have increased after moving to Lebanon. A prior pregnancy was significantly associated with higher contraception use rate. The most common methods of contraception were oral contraceptive pills and intra-uterine devices. CONCLUSION: The C-section deliveries, spontaneous abortions and maternal complications have all increased among SR women after being displaced to Lebanon. While the age at first pregnancy, mean spacing between their pregnancies and breastfeeding rates have decreased after moving to Lebanon. SR women are less likely to use contraceptives after their displacement. It is necessary to address access to reproductive healthcare and antenatal care delivery among displaced refugee women living in informal tented settlements.

Predictors of surgical site infection following reconstructive flap surgery: A multi-institutional analysis of 37,177 patients.

Purpose: Rates of surgical site infection (SSI) following reconstructive flap surgeries (RFS) vary according to flap recipient site, potentially leading to flap failure. This is the largest study to determine predictors of SSI following RFS across recipient sites. Methods: The National Surgical Quality Improvement Program database was queried for patients undergoing any flap procedure from years 2005 to 2020. RFS involving grafts, skin flaps, or flaps with unknown recipient site were excluded. Patients were stratified according to recipient site: breast, trunk, head and neck (H&N), upper and lower extremities (UE&LE). The primary outcome was the incidence of SSI within 30 days following surgery. Descriptive statistics were calculated. Bivariate analysis and multivariate logistic regression were performed to determine predictors of SSI following RFS. Results: 37,177 patients underwent RFS, of whom 7.5% (n = 2,776) developed SSI. A significantly greater proportion of patients who underwent LE (n = 318, 10.7%) and trunk (n = 1,091, 10.4%) reconstruction developed SSI compared to those who underwent breast (n = 1,201, 6.3%), UE (n = 32, 4.4%), and H&N (n = 100, 4.2%) reconstruction (p < .001). Longer operating times were significant predictors of SSI following RFS across all sites. The strongest predictors of SSI were presence of open wound following trunk and H&N reconstruction [adjusted odds ratio (aOR) 95% confidence interval (CI) 1.82 (1.57-2.11) and 1.75 (1.57-1.95)], disseminated cancer following LE reconstruction [aOR (CI) 3.58 (2.324-5.53)], and history of cardiovascular accident or stroke following breast reconstruction [aOR (CI) 16.97 (2.72-105.82)]. Conclusion: Longer operating time was a significant predictor of SSI regardless of reconstruction site. Reducing operating times through proper surgical planning might help mitigate the risk of SSI following RFS. Our findings should be used to guide patient selection, counseling, and surgical planning prior to RFS.