Objective: To estimate overall prevalence of bipolar disorder (BD) and the prevalence and timing of bipolar-spectrum mood episodes in perinatal women. Data Sources: Databases (PubMed, Scopus, PsycINFO, CINAHL, Cochrane, ClincalTrials.gov) were searched from inception to March 2020. Study Selection: Included studies were original research in English that had (1) populations of perinatal participants (pregnant or within 12 months postpartum), aged ≥ 18 years, and (2) a screening/diagnostic tool for BD. Search terms described the population (eg, perinatal), illness (eg, bipolar disorder), and detection (eg, screen, identify). Data Extraction: Study design data, rates, and timing of positive screens/diagnoses and mood episodes were extracted by 3 independent reviewers. Pooled prevalences were estimated using random-effects meta-analyses. Results: Twenty-two articles were included in qualitative review and 12 in the meta-analysis. In women with no known psychiatric illness preceding the perinatal period, pooled prevalence of BD was 2.6% (95% CI, 1.2%-4.5%) and prevalence of bipolar-spectrum mood episodes (including depressed, hypomanic/manic, mixed) during pregnancy and the postpartum period was 20.1% (95% CI, 16.0%-24.5%). In women with a prior BD diagnosis, 54.9% (95% CI, 39.2%-70.2%) were found to have at least one bipolar-spectrum mood episode occurrence in the perinatal period. Conclusions: Our review suggests that the perinatal period is associated with high rates of bipolar-spectrum mood episodes and that pregnant and postpartum women represent a special risk population. This review may help to inform clinical care recommendations, thus helping to identify those who may have.

Background: U.S. nursing homes provide long-term care to over 1.2 million older adults, 60% of whom were physically frail and 68% had moderate or severe cognitive impairment. Limited research has examined the longitudinal experience of these two conditions in older nursing home residents. Methods: This national longitudinal study included newly-admitted non-skilled nursing care older residents who had Minimum Data Set (MDS) 3.0 (2014-16) assessments at admission, 3 months, and 6 months (n = 266,001). Physical frailty was measured by FRAIL-NH and cognitive impairment by the Brief Interview for Mental Status. Separate sets of group-based trajectory models were fitted to identify the trajectories of physical frailty and trajectories of cognitive impairment, and to estimate the association between older residents' characteristics at admission with each set of trajectories. A dual trajectory model was used to quantify the association between the physical frailty trajectories and cognitive impairment trajectories. Results: Over the course of the first six months post-admission, five physical frailty trajectories ["Consistently Frail" (prevalence: 53.0%), "Consistently Pre-frail" (29.0%), "Worsening Frailty" (7.6%), "Improving Frailty" (5.5%), and "Consistently Robust" (4.8%)] and three cognitive impairment trajectories ["Consistently Severe Cognitive Impairment" (35.5%), "Consistently Moderate Cognitive Impairment" (31.8%), "Consistently Intact/Mild Cognitive Impairment" (32.7%)] were identified. One in five older residents simultaneously followed the trajectories of "Consistently Frail" and "Consistently Severe Cognitive Impairment". Characteristics associated with higher odds of the "Improving Frailty", "Worsening Frailty", "Consistently Pre-frail" and "Consistently Frail" trajectories included greater at-admission cognitive impairment, age ≥ 85 years, admitted from acute hospitals, cardiovascular/metabolic diagnoses, neurological diagnoses, hip or other fractures, and presence of pain. Characteristics associated with higher odds of the "Consistently Moderate Cognitive Impairment" and "Consistently Severe Cognitive Impairment" included worse at-admission physical frailty, neurological diagnoses, hip fracture, and receipt of antipsychotics. Conclusions: Findings provided information regarding the trajectories of physical frailty, the trajectories of cognitive impairment, the association between the two sets of trajectories, and their association with residents' characteristics in older adults' first six months post-admission to U.S. nursing homes. Understanding the trajectory that the residents would most likely follow may provide information to develop a comprehensive care approach tailored to their specific healthcare goals.