Impact of Public Health and Social Measures on Cosmetic Treatments in the COVID-19 Pandemic: A Retrospective Multi-Center Study Combined With a Questionnaire-Based Cross-Sectional Study

BACKGROUND

Public health and social measures (PHSMs) are considered the most effective approaches for controlling epidemic diseases. This study aimed to explore variations in the time-dependent characteristics of and public preferences for cosmetic treatments during and after the implementation of PHSMs during the COVID-19 pandemic.

METHOD

Medical records from six medical institutions were extracted retrospectively. Time-series analyses were conducted to reveal the variations in characteristics in volume and proportion of cosmetic treatments according to PHSMs. A cross-sectional study was conducted with online questionnaire designed for the general population during and after the implementation of PHSMs.

RESULT

A total of 141 033 records were included in this retrospective study. The implementation of PHSMs led to extremely low treatment volumes; compared with the increases in private hospitals, the treatment volumes in public hospitals exhibited earlier and more significant increases, even higher than pre-PHSM levels (p < 0.05), which mainly contributed to the increase in plastic surgery volumes during and after the implementation of PHSMs. The differences in the anxiety state, self-perceived appearance, and cosmetic treatment intentions of the participants were illustrated during and after PHSMs. We further demonstrated the participants' decisions on cosmetic treatments after the implementation of PHSMs during the COVID-19 pandemic.

CONCLUSION

The immediate effects and aftereffects of PHSMs on cosmetic treatments were different in public and private hospitals. Furthermore, as PHSMs guided the adjustment of cosmetic treatments in the post-COVID-19 era, the intention to undergo cosmetic treatment during PHSMs was associated with the anxiety states and preferences of the population.

Identification of key regulatory genes in the pathogenesis of COVID-19 and sepsis: An observational study

Patients with severe COVID-19 and those with sepsis have similar clinical manifestations. We used bioinformatics methods to identify the common hub genes in these 2 diseases. Two RNA-seq datasets from the Gene Expression Omnibus were used to identify common differentially expressed genes (DEGs) in COVID-19 and sepsis. These common genes were used for analysis of functional enrichment; pathway analysis; identification of associated transcription factors, metabolites, and miRNAs; and mapping of protein-protein interaction networks. The major hub genes of COVID-19 and sepsis were identified, and validation datasets were used to assess the value of these hub genes using receiver operating characteristic (ROC) curves. Analysis of the 800 common DEGs for COVID-19 and sepsis, as well as common transcription factors, miRNAs, and metabolites, demonstrated that the immune response had a key role in both diseases. DLGAP5, BUB1, CDK1, CCNB1, and BUB1B were the most important common hub genes. Analysis of a validation cohort indicated these 5 genes had significantly higher expression in COVID-19 patients and sepsis patients than in corresponding controls, and the area under the ROC curves ranged from 0.832 to 0.981 for COVID-19 and 0.840 to 0.930 for sepsis. We used bioinformatics tools to identify common DEGs, miRNAs, and transcription factors for COVID-19 and sepsis. The 5 identified hub genes had higher expression in validation cohorts of COVID-19 and sepsis. These genes had good or excellent diagnostic performance based on ROC analysis, and therefore have potential use as novel markers or therapeutic targets.

Altered association between cortisol and adrenocorticotropic hormone levels in the early stage of type 2 diabetic ketoacidosis

Objectives

In the early stages of various critical infections and diseases, altered association of cortisol and adrenocorticotropic hormone (ACTH) levels occurs, with cortisol levels increasing and ACTH levels remaining normal or decreasing. This study aimed to explore the relationship between ACTH and cortisol levels in patients with diabetic ketoacidosis (DKA) and the influence of the severity of DKA.

Methods

A total of 106 type 2 diabetes patients with DKA admitted to the Endocrinology Department of Yantai Yuhuangding Hospital from February 2018 to May 2023 were divided into groups without (n=54) and with bacterial infection (n=52). Twenty type 2 diabetes patients without infection or DKA admitted during the same period were included as the control group. Cortisol and ACTH levels were measured on the first day of admission and the day after DKA correction for patients with DKA and on the first day of admission and the day before discharge for the control group.

Results

Compared with the control group, the DKA groups both with and without infection had significantly higher cortisol levels (P<0.05) and significantly lower ACTH levels (P<0.01) at admission. DKA patients with infection had significantly higher cortisol levels at admission than those without infection (734.51 ± 348.69 nmol/L vs 508.79 ± 268.72 nmol/L, P<0.01), while ACTH levels did not differ significantly between the two groups (P>0.05). After correction of DKA, no differences in cortisol or ACTH levels were observed among the three groups. Compared with levels at admission, DKA patients both with and without infection had lower cortisol levels and higher ACTH levels after DKA correction (all P<0.001). Multiple stepwise regression analysis showed that for all DKA patients and for subgroups with and without infection, the cortisol level at admission was independently positively correlated with the ACTH level and negatively correlated with the bicarbonate level (both P<0.01).

Conclusions

In the early stage of DKA, a phenomenon of altered association between cortisol-ACTH occurs and is especially prominent in DKA patients with infection. This altered association between cortisol-ACTH disappears after DKA correction, and the severity of DKA is an independent influencing factor on the cortisol level in early-stage DKA.