Prenatal predictors of postpartum depression trajectories from birth to 24 months amongst smoking women.

AIMS AND OBJECTIVES: We aimed to identify postpartum depression (PPD) trajectories and examine relevant predictors amongst smoking women. BACKGROUND: PPD can adversely affect families. Predictors of PPD trajectories amongst smoking women are understudied. DESIGN: Longitudinal cohort study. METHODS: A cohort of 49 U.S. women (current or ex-smoking) completed the Edinburgh Postnatal Depression Scale from birth to 24 months postpartum. Latent class growth modelling was used to identify PPD trajectories. Predictors of PPD trajectories were identified, adjusting for confounders. Effect modification by prenatal Patient Health Questionnaire (PHQ) depression score was also assessed. STROBE guidelines were followed in reporting results. RESULTS: Three PPD trajectories were identified: non-PPD, transient PPD and chronic PPD. In multinomial logistic regression, social support was associated with lower odds of membership in the chronic PPD trajectory compared to non-PPD trajectory: being married or having a partner sharing resources (odds ratio OR = .14 [.02, .85], p-value = .03), greater partner support (OR = .87 [.77, .98], p-value = .02) and greater family/friends support (OR = .53 [.34, .82], p-value = .004). Transient PPD showed no differences with non-PPD on any predictors. In ordinal logistic regression models, social support was associated with lower odds of membership in a more severe PPD depression trajectory when prenatal PHQ depression score was in the low range (being married or having a partner sharing resources: p for effect modification = .06; partner support: p for effect modification = .05; and family/friends support: p for effect modification = .005). RELEVANCE TO CLINICAL PRACTICE: Compared to the general population, chronic PPD trajectories were more common amongst smoking women. Social support was an important predictor of more severe PPD trajectories, especially when prenatal depression is low. CONCLUSION: Our findings indicated that social support might decrease likelihood of severe PPD trajectories, especially when prenatal depression was low. Relevant predictors of transient PPD remained elusive.

The Effect of Diabetes on Complications after Spinal Fusion: A Systematic Review and Meta-Analysis.

OBJECTIVE: Spinal fusion procedures are used to treat a wide variety of spinal pathologies. Diabetes mellitus (DM) has been shown to be a significant risk factor for several complications following these procedures in previous studies. To the authors' knowledge, this is the first systematic review and meta-analysis elucidating the relationship between DM and complications occurring after spinal fusion procedures. METHODS: Systematic literature searches of PubMed and EMBASE were performed from their inception to October 1, 2022, to identify studies that directly compared postfusion complications in patients with and without DM. Studies met the prespecified inclusion criteria if they reported the following data for patients with and without DM: (1) demographics; (2) postspinal fusion complication rates; and (3) postoperative clinical outcomes. The included studies were then pooled and analyzed. RESULTS: Twenty-eight studies, with a cumulative total of 18,853 patients (2695 diabetic patients), were identified that met the inclusion criteria. Analysis showed that diabetic patients had significantly higher rates of total number of postoperative complications (odds ratio [OR] = 1.33; 95% confidence interval [CI] = 1.12-1.58; P = 0.001), postoperative pulmonary complications (OR=2.01; 95%CI=1.31-3.08; P = 0.001), postoperative renal complications (OR=2.20; 95%CI=1.27-3.80; P = 0.005), surgical site infection (OR=2.65; 95%CI=2.19-3.20; P < 0.001), and prolonged hospital stay (OR=1.67; 95%CI=1.47-1.90; P < 0.001). CONCLUSIONS: Patients with DM had a significantly higher risk of developing complications after spinal fusion, particularly pulmonary and renal complications, in addition to surgical site infections and had a longer length of stay. These findings are important for informed discussions of surgical risks with patients and families before surgery.