The dynamic changes of cellular immunity among frontline medical workers who supported Wuhan for fighting against the COVID-19

Analysis of mental health of healthcare workers and its influencing factors in three consecutive years

Background: Healthcare workers are an indispensable part of society, and a healthy mind and body are important to them, but today's exacerbation of psychological problems in healthcare, has attracted the attention of society. Objective: This study spans two particular phases: the COVID-19 pandemic phase and the full liberalization of epidemic control. To explore trends in the mental health status of healthcare workers, particularly anxiety, depression and sleep quality, and to analyze the influencing factors and inform the development of interventions through data collection over three consecutive years. Methods: A general information questionnaire, SAS, SDS, and PSQI were used to survey in-service healthcare workers in a regional tertiary care hospital for three consecutive years, and data were collected to cover multiple time points to observe trends in mental health and to synthesize and analyze potential influencing factors such as demographic characteristics. Results: The SAS, SDS, and PSQI scores of the healthcare workers were significantly higher than the national norm. With psychological interventions, the incidence of depression and sleep problems decreased year by year, and the incidence of anxiety problems fluctuated little. Anxiety, depression and sleep problems are affected by a variety of factors, and healthcare workers whose gender is female, whose occupation is nurseing whose age is younger, whose job title is lower, and whose position is on the front line of epidemic prevention are more likely to have mental health problems. Conclusions: This study identifies the severity and complexity of mental health problems among healthcare workers, analyzes their mental health needs and factors affecting mental health, and provides a scientific basis for providing psychological interventions.

Can Pre-Transplant Psychometric Testing Predict Tacrolimus Intrapatient Variability After Living Kidney Transplantation?

OBJECTIVE

Tacrolimus intrapatient variability (Tac IPV) has been considered a marker for post-graft risk. We investigated pre-transplant psychometric testing to predict Tac IPV after living kidney transplantation.

METHODS

Minnesota Multiphasic Personality Inventory-2 (MMPI-2) examined during pre-transplant evaluation by 102 recipients were analyzed. Subjects were divided into two groups, low IPV (L-IPV) and high IPV (H-IPV), by cutoffs of Tac IPV: median of 24 and value of 30. T-scores of MMPI-2 scales were used to analyze difference between L-IPV and H-IPV using independent t-tests. Stepwise multiple logistic regression was used to test whether MMPI-2 scales affected Tac IPV. Confusion matrix of logistic regression was used to explain statistical power. Cutoff values of significant scales for H-IPV were analyzed by constructing receiver operating characteristic curves.

RESULTS

Hysteria (Hy) and depression (D) scale scores and Tac IPV were associated in IPV 24 (odds ratio [OR]: 1.08, p<0.01 for Hy; OR: 0.93, p<0.01 for D) and IPV 30 models (OR: 1.09, p<0.01 for Hy; OR: 0.92, p<0.01 for D). Paranoia (Pa) scale scores were associated with Tac IPV in IPV 24 model (OR=1.10, p<0.01) and were significantly higher in H-IPV 24 (p<0.01). F1 scores of confusion matrix in IPV 24 and 30 models were 0.70 and 0.71, respectively. Cutoffs of Hy, D, and Pa scales were 51, 57, and 47, respectively.

CONCLUSION

MMPI-2 profile is suggested as a predictor for high Tac IPV after living kidney transplantation.

Dynamic changes of complete blood cell count parameters among airport workers during the COVID-19 pandemic in Chongqing, China: A retrospective longitudinal study

Background and aims

This study aimed to examine the dynamic changes in the complete blood counts of airport staff from 2019 to 2021 and assess the impact of the coronavirus disease 2019 (COVID-19) on their overall health status during the first pandemic wave.

Materials and methods

A total of 2144 airport staff members from Chongqing Jiangbei International Airport who underwent health examinations for three consecutive years from 2019 to 2021 were recruited for this study. Venous blood samples were collected for a complete blood cell count.

Results

Changes were observed in blood routine parameters from airport staff over three consecutive years. After adjusting for age, body mass index, and systolic blood pressure, the red blood cell count decreased consecutively during the COVID-19 pandemic. Hemoglobin and basophil counts decreased significantly during COVID-19 year 1. Lymphocyte and platelet counts decreased, whereas the monocyte-to-lymphocyte ratio increased in COVID-19 year 2. However, the white blood cell count, neutrophil count, neutrophil-to-lymphocyte ratio, and eosinophil count did not change from 2019 to 2021.

Conclusion

This study showed changes in complete blood counts in frontline airport workers, especially men, during the COVID-19 pandemic. Therefore, paying more attention to the overall health conditions and immune function of airport staff engaged in intensive work is necessary.

Impact of Beta Blockers on Breast Cancer Incidence and Prognosis

Several studies have investigated the link between beta blockers (BB) and breast cancer outcomes but have reported mixed results. Our aim was to investigate the relationship between BB and breast cancer outcomes. Literatures investigating the relationship between BB and breast cancer outcomes were searched through PubMed and Embase. A total 43 articles were included by meta-analysis. We found BB increased breast cancer risk (n = 22, RR: 1.169, 95% CI: 1.063-1.285). We also found BB were associated with a lower overall survival (OS, n = 19, RR: 1.125, 95% CI: 1.078-1.173) and a higher recurrence risk (n = 8, RR: 1.130, 95% CI: 1.040-1.227) for breast cancer. Interestingly, subgroup analyses found only selective BB increased breast cancer risk (n = 5, RR: 1.766, 95% CI: 1.148-2.718) and recurrence risk (n = 2, RR: 1.168 -, 95% CI: 1.026-1.328) while only nonselective BB were associated with a lower OS (n = 4, RR: 1.135, 95% CI: 1.073-1.202) for breast cancer. Moreover, we found BB were associated with a significantly lower OS (n = 3, RR: 2.751, 95% CI: 1.213-6.238) and higher recurrence (n = 2, RR: 1.284, 95% CI: 1.102-1.497) only in luminal breast cancer while with a higher PFS (n = 2, RR: 0.585, 95% CI: 0.343-0.997) in Her2+ breast cancer. No significant differences in terms of CSM (n = 19, RR: 1.009, 95% CI: 0.947-1.077), PFS (n = 4, RR: 0.932, 95% CI: 0.616-1.305), and DFS (n = 2, RR: 0.776, 95% CI: 0.512-1.176) were observed. Our results provide evidence of the relationship between BB and breast cancer incidence and prognosis.

Association between immune cells in peripheral blood and psychiatric symptoms

BACKGROUND

There are bidirectional associations between immunological dysfunction and psychiatric symptoms. However, the associations between the levels of immune cells in the peripheral blood and psychiatric symptoms remain unclear. The present study aimed to evaluate levels of immune cells in peripheral blood in people with positive psychiatric symptoms.

METHODS

This retrospective study analyzed data from routine blood tests and psychopathology and sleep quality assessments. Data were compared between a group of 45 patients with de novo psychological symptoms and 225 matched controls.

RESULTS

Patients with psychiatric symptoms had higher white blood cell and neutrophil counts compared with controls. However, in a subgroup analysis, neutrophil counts were significantly higher than in controls only in patients with multiple psychiatric symptoms. Furthermore, monocyte counts were significantly higher in patients with multiple psychiatric symptoms than in controls. Further, sleep quality was lower in patients with psychiatric symptoms than in controls.

CONCLUSION

White blood cell and neutrophil counts in the peripheral blood of patients with psychiatric symptoms were significantly higher and sleep quality was significantly lower than in controls. Participants with multiple psychiatric symptoms showed more significant differences in peripheral blood immune cell counts than other subgroups. These results provided evidence for the relationship between psychiatric symptoms, immunity, and sleep.

Comparison of peripheral blood T, B, and NK lymphocytes between frontline medical workers for treating patients of COVID-19 and normal outpatient and emergency medical workers in China

The outbreak of the novel coronavirus disease 2019 (COVID-19) has led to significant mental stress for frontline medical workers treating patients with confirmed COVID-19 in China. Psychological stress has an impact on the immune system. The number and percentage of lymphocyte subsets are standard indicators of cellular immune detection. Here, we reported the differences in CD3, CD4, CD8, CD19, and CD56 lymphocytes between 158 frontline medical workers and 24 controls from medical staffs of the outpatient and emergency departments. We found that frontline medical workers had significantly lower absolute values and percentages of CD19⁺ B cells, especially in the female and the aged ≥40 years subgroup. Stratification analysis showed that the absolute values of CD4⁺ T cells were significantly lower in the aged <40 years subgroup, while percentages of CD8⁺ T cells were lower and percentages of CD56⁺ NK cells were higher in the aged ≥40 years subgroup. In summary, this study suggests paying more attention to frontline medical workers' mental health and immune function, and properly providing them with psychological interventions and measures of care.