Maternal anxiety, depression and posttraumatic stress disorder (PTSD) after natural disasters: a systematic review.

OBJECTIVE: To measure the prevalence of maternal anxiety, depression and posttraumatic stress disorder (PTSD) in those exposed to natural disasters. METHODS: A literature search of the PubMed database and www.clinicaltrials.gov from January 1990 through June 2020 was conducted. A PRISMA review of the available literature regarding the incidence and prevalence of maternal anxiety, depression and posttraumatic stress disorder (PTSD) following natural disasters was performed. A natural disaster was defined as one of the following: pandemic, hurricane, earthquake and post-political conflict/displacement of people. Studies were selected that were population-based, prospective or retrospective. Case reports and case series were not used. The primary outcome was the prevalence of maternal anxiety, depression and PTSD in the post-disaster setting. Two independent extractors (I.F. & H.G.) assessed study quality using an adapted version of the Effective Public Health Practice Project Quality Assessment tool. Given the small number of studies that met inclusion criteria, all 22 studies were included, regardless of rating. Data were extracted and aggregate rates of depression, anxiety, and PTSD were calculated to provide synthesized rates of maternal mental health conditions among participants. RESULTS: Twenty-two studies met the inclusion criteria. A total of 8357 pregnant or birthing persons in the antepartum and postpartum periods were studied. The prevalence of post-pandemic anxiety, depression and PTSD were calculated to be 48.2%, 27.3%, and 22.9%. Post-earthquake depression and PTSD rates were 38.8% and 22.4%. The prevalence of post-hurricane anxiety, depression and PTSD were 17.4%, 22.5%, and 8.2%. The rates of post-political conflict anxiety, depression and PTSD were 48.8%, 31.6% and 18.5%. CONCLUSION: Given the high rates of anxiety, depression and PTSD among pregnant and birthing persons living through the challenges of natural disasters, obstetrician-gynecologists must be able to recognize this group of patients, and provide a greater degree of psychosocial support.

Predictors of Interest in Radiation Oncology: The Effect of Race, Ethnicity, Gender, and Other Diversity Measures.

Purpose: The presence of women and people underrepresented in medicine (URiM) continues to be lower in radiation oncology (RO) than within the United States population, medical school graduates, and oncology fellowship applicants. The objective of this study was to identify demographics of matriculating medical students who are inclined to consider pursuing a residency in RO and identify barriers to entry that students may perceive before medical school training. Methods and Materials: A survey of incoming medical students at New York Medical College was distributed via e-mail and assessed demographic background information, interest in and awareness of oncologic subspecialties, and perceived barriers to RO. Results: Students of the incoming class of 2026 had a complete response rate of 72% (155 complete responses and 8 incomplete responses of 214 class members). Two-thirds of participants had prior awareness of RO, and half have considered pursuing an oncologic subspecialty, but less than one-fourth have ever previously considered a career in RO. Students responded that they need more education, clinical exposure, and mentorship to increase their chance of choosing RO. Male participants had 3.4 times the odds of having an acquaintance in the community tell them about the specialty and also had significantly greater interest in using advanced technologies. There were no URiM participants who had personal relationships with an RO physician compared with 6 (4.5%) non-URiM participants. The average response to "What is the likelihood that you will pursue a career in RO?" showed no significant difference between genders. Conclusions: All races and ethnicities scored a similar likelihood of pursuing a career in RO, which differs greatly from the current RO workforce. Responses emphasized the importance of education, mentorship, and exposure to RO. This study demonstrates the need for support of female and URiM students during medical school.

Acute kidney injury and the compensation of kidney function after nephrectomy in living donation.

Acute kidney injury (AKI) incidence is growing rapidly, and AKI is one of the predictors of inpatient mortality. After nephrectomy, all the patients have decreased kidney function with AKI and recover from AKI. However, the characteristic and behavior of AKI is different from usual AKI and compensatory kidney function has been well known in the postoperative setting, especially in living donors. In this review, we have focused on the compensation of kidney function after nephrectomy in living donors. We discuss factors that have been identified as being associated with kidney recovery in donors including age, sex, body mass index, remnant kidney volume, estimated glomerular filtration rate, and various comorbidities.

Is Compensation Prediction Score Valid for Contralateral Kidney After Living-Donor Nephrectomy in the United States?

BACKGROUND: Compensation after living donor nephrectomy is well known, and a compensation prediction score (CPS) was made in Japan previously. The aim of this study was to perform external validation of CPS in the United States. METHODS: We studied retrospectively 78 living donor nephrectomies in our institution. We defined a favorable compensation as a postdonation estimated glomerular filtration rate (eGFR) at 1 year of >60% of the predonation eGFR. We analyzed the living donors' clinical characteristics and outcomes and validated CPS score. RESULTS: The median (range) donor age was 43 (21-63) years, and median body mass index was 26.9 (18.3-35.9) kg/m2. Forty-four percent of donors were White. The donor predonation eGFR was 105 (61-134) mL/min/1.73 m2, and the postdonation eGFR at 1 year was 73.2 (0-115) mL/min/1.73 m2. Eighty-three percent of donors had a favorable compensation. The CPS was 9.6 (1.6-15.6) and showed strong diagnostic accuracy for predicting favorable compensation (area under the curve, 0.788; 95% confidence interval, 0.652-0.924; P = .001). The CPS showed a significant positive correlation with the postdonation eGFR at 1 year (R = 0.54; P < .001). CONCLUSIONS: In the United States, the CPS would be a valid tool with which to predict a favorable compensation of remnant kidney function.