Effect of Personality and Pain Catastrophizing on Postoperative Analgesia Following Cesarean Section: A Prospective Cohort Study.

Purpose: This study aimed to investigate the effects of different psychological personalities and pain catastrophizing levels on postoperative analgesia in patients undergoing cesarean section. Patients and Methods: Puerperas who underwent cesarean section at our hospital between January and August 2023 were recruited into the study and assessed using the Eysenck Personality Questionnaire-Revised Short Scale (EPQRSC) and Pain Catastrophizing Scale (PCS). Data on the numerical pain intensity at rest and during activity 24 h after surgery, number and dosage of analgesia pumps, and satisfaction with analgesia were recorded. According to the numerical pain score during activity 24 h post-operation, the patients were divided into the analgesia incomplete group (≥4) and control group (<4). Univariate analysis, Spearman correlation analysis, and binary logistic regression analysis were used to evaluate the influence of personality characteristics and PCS on postoperative analgesia. Results: A total of 778 women were included in the study. The incidence of inadequate analgesia was 89.8%. The satisfaction rate of analgesia was 66.8%. Univariate analysis showed that extraversion; neuroticism; PCS; numbers of previous cesarean delivery; ASA; analgesic satisfaction; and 24-h analgesia pump compressions and dosage were associated with postoperative analgesia after cesarean section (P<0.05). Using binary logistic regression analysis, the first cesarean section (odds ratio [OR]=0.056, 95% confidence interval [CI]=1.913-19.174), the number of 24-h analgesic pump compressions (OR=8.464, 95% CI=0.356-0.604), extraversion (OR=0.667, 95% CI=0.513-0.866), neuroticism (OR=1.427, 95% CI=1.104-1.844), and PCS (OR=7.718, 95% CI=0.657-0.783) were factors affecting postoperative analgesia. Conclusion: The incidence of inadequate analgesia after a cesarean section was high (89.8% on the first day after surgery). Formulating accurate analgesia programs for women undergoing cesarean section with extraversion, neuroticism personality characteristics, and pain catastrophizing behaviors is necessary for improving their postoperative analgesia effects and satisfaction and promoting postpartum comfort.

Micronutrient Level Is Negatively Correlated with the Neutrophil-Lymphocyte Ratio in Patients with Severe COVID-19.

Aim: To explore the potential relationship between NLR and micronutrient deficiency in patients with severe COVID-19 infection. Methods: Sixteen patients were categorized into the mild group (mild COVID-19) and severe group (severe COVID-19) based on the guideline of the management of COVID-19. The lactate dehydrogenase (LDH); superoxide dismutase (SOD), the inflammatory markers (neutrophil lymphocyte ratio (NLR)), erythrocyte sedimentation rate (ESR), c-reactive protein (CRP), selenium (Se), iron (Fe), zinc (Zn), nickel (Ni), copper (Cu), chromium (Cr), cadmium (Cd), arsenic (As), and manganese (Mn) were measured in the blood. Results: Compared to the mild group, the NLR (P < 0.05) and the level of Se (P < 0.01), Fe (P < 0.05), and Zn (P < 0.05) were significantly decreased in the severe group. The level of Se, Fe, and Zn was significantly correlated to NLR levels. Furthermore, close positive correlation was found between NLR and severity of COVID-19. Conclusion: The micronutrient deficiency in the blood is associated with NLR in the severity of COVID-19 patients.

A Method of Green Citrus Detection in Natural Environments Using a Deep Convolutional Neural Network.

The accurate detection of green citrus in natural environments is a key step in realizing the intelligent harvesting of citrus through robotics. At present, the visual detection algorithms for green citrus in natural environments still have poor accuracy and robustness due to the color similarity between fruits and backgrounds. This study proposed a multi-scale convolutional neural network (CNN) named YOLO BP to detect green citrus in natural environments. Firstly, the backbone network, CSPDarknet53, was trimmed to extract high-quality features and improve the real-time performance of the network. Then, by removing the redundant nodes of the Path Aggregation Network (PANet) and adding additional connections, a bi-directional feature pyramid network (Bi-PANet) was proposed to efficiently fuse the multilayer features. Finally, three groups of green citrus detection experiments were designed to evaluate the network performance. The results showed that the accuracy, recall, mean average precision (mAP), and detection speed of YOLO BP were 86, 91, and 91.55% and 18 frames per second (FPS), respectively, which were 2, 7, and 4.3% and 1 FPS higher than those of YOLO v4. The proposed detection algorithm had strong robustness and high accuracy in the complex orchard environment, which provides technical support for green fruit detection in natural environments.

Correction to: Correlation analysis on serum inflammatory cytokine level and neurogenic pulmonary edema for children with severe hand-foot-mouth disease.

The original publication of this article [1] contained two erroneous paragraphs related to the time and place for the admission of the pediatric patients with clinically diagnosed severe HFMD. The updated information has been indicated in bold.

Correlation analysis on serum inflammatory cytokine level and neurogenic pulmonary edema for children with severe hand-foot-mouth disease.

OBJECTIVE: This study aims to discuss the correlation between serum inflammatory cytokines and neurogenic pulmonary edema (NPE) in children with severe hand-foot-mouth disease (HFMD). METHODS: A total of 89 patients with severe HFMD were enrolled into this study. These patients were divided into two groups, according to the presence of NPE: central nervous system disease (CNSD) group and NPE group. Serum IL-4, IL-10, IL-6, IL-17, tumor necrosis factor-α (TNF-α), and interferon-γ (IFN-γ) levels were measured in patients by enzyme-linked immunosorbent assay at 1, 3, and 5 days after admission. Furthermore, risk factors for NPE were screened using multivariable logistic regression analysis. RESULTS: IL-6, TNF-α, IL-10, and interferon-γ (IFN-γ) levels in the NPE group were higher than in the CNSD group. TNF-α, IL-10, and IFN-γ levels reached a peak on the 3rd day of admission. Age, continuous fever, blood sugar, white blood cell count, and IL-10 were risk factors for the occurrence of NPE in severe HFMD. CONCLUSION: The dynamic unbalance of inflammatory cytokines is related to the occurrence and progress of NPE.

Adjuvant Corticosteroid Treatment in Adults With Influenza A (H7N9) Viral Pneumonia.

OBJECTIVE: To determine the impact of adjuvant corticosteroids administered to patients hospitalized with influenza A (H7N9) viral pneumonia. DESIGN: The effects of adjuvant corticosteroids on mortality were assessed using multivariate Cox regression and a propensity score-matched case-control study. Nosocomial infections and viral shedding were also compared. SETTING: Hospitals with influenza A (H7N9) viral pneumonia patient admission in 84 cities and 16 provinces of Mainland China. PATIENTS: Adolescent and Adult patients aged >14 yr with severe laboratory-confirmed influenza A (H7N9) virus infections were screened from April 2013 to March 2015. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The study population comprised 288 cases who were hospitalized with influenza A (H7N9) viral pneumonia. The median age of the study population was 58 years, 69.8% of the cohort comprised male patients, and 51.4% had at least one type of underlying diseases. The in-hospital mortality was 31.9%. Two hundred and four patients (70.8%) received adjuvant corticosteroids; among them, 193 had hypoxemia and lung infiltrates, 11 had chronic obstructive pulmonary disease, and 11 had pneumonia only. Corticosteroids were initiated within 7 days (interquartile range, 5.0-9.4 d) of the onset of illness and the maximum dose administered was equivalent to 80-mg methylprednisolone (interquartile range, 40-120 mg). The patients were treated with corticosteroids for a median duration of 7 days (interquartile range, 4.0-11.3 d). Cox regression analysis showed that compared with the patients who did not receive corticosteroid, those who received corticosteroid had a significantly higher 60-day mortality (adjusted hazards ratio, 1.98; 95% CI, 1.03-3.79; p = 0.04). Subgroup analysis showed that high-dose corticosteroid therapy (> 150 mg/d methylprednisolone or equivalent) significantly increased both 30-day and 60-day mortality, whereas no significant impact was observed for low-to-moderate doses of corticosteroids (25-150 mg/d methylprednisolone or equivalent). The propensity score-matched case-control analysis showed that the median viral shedding time was much longer in the group that received high-dose corticosteroids (15 d), compared with patients who did not receive corticosteroids (13 d; p = 0.039). CONCLUSIONS: High-dose corticosteroids were associated with increased mortality and longer viral shedding in patients with influenza A (H7N9) viral pneumonia.