The interpretable machine learning model associated with metal mixtures to identify hypertension via EMR mining method.

There are limited data available regarding the connection between hypertension and heavy metal exposure. The authors intend to establish an interpretable machine learning (ML) model with high efficiency and robustness that identifies hypertension based on heavy metal exposure. Our datasets were obtained from the US National Health and Nutrition Examination Survey (NHANES, 2013-2020.3). The authors developed 5 ML models for hypertension identification by heavy metal exposure, and tested them by 10 discrimination characteristics. Further, the authors chose the optimally performing model after parameter adjustment by Genetic Algorithm (GA) for identification. Finally, in order to visualize the model's ability to make decisions, the authors used SHapley Additive exPlanation (SHAP) and Local Interpretable Model-Agnostic Explanations (LIME) algorithm to illustrate the features. The study included 19 368 participants in total. A best-performing eXtreme Gradient Boosting (XGB) with GA for hypertension identification by 16 heavy metals was selected (AUC: 0.774; 95% CI: 0.772-0.776; accuracy: 87.7%). According to SHAP values, Barium (0.02), Cadmium (0.017), Lead (0.017), Antimony (0.008), Tin (0.007), Manganese (0.006), Thallium (0.004), Tungsten (0.004) in urine, and Lead (0.048), Mercury (0.035), Selenium (0.05), Manganese (0.007) in blood positively influenced the model, while Cadmium (-0.001) in urine negatively influenced the model. Study participants' hypertension associated with heavy metal exposure was identified by an efficient, robust, and interpretable GA-XGB model with SHAP and LIME. Barium, Cadmium, Lead, Antimony, Tin, Manganese, Thallium, Tungsten in urine, and Lead, Mercury, Selenium, Manganese in blood are positively correlated with hypertension, while Cadmium in blood is negatively correlated with hypertension.

Low Trend for VZV-Associated Disease Patients to Visit Neurologists.

Background: Herpes zoster (HZ) is a skin disease that can also cause virus-infectious peripheral neuropathies. Despite this, there is limited information on patient preferences for seeking medical attention for HZ and zoster-associated pain (ZAP). Our study aimed to evaluate how frequently patients with ZAP choose to visit neurologists for their symptoms. Methods: This study conducted a retrospective review of electronic health records in three general hospitals from January 2017 to June 2022. Using association rule mining, the study analyzed referral behaviors. Results: We identified 33,633 patients with 111,488 outpatient visits over 5.5 years. The study found that the majority of patients (74.77-91.22%) visited dermatologists during their first outpatient visit, while only a small percentage (0.86-1.47%) preferred to consult a neurologist. The proportion of patients referred to a specialist during their medical visit varied significantly between different specialties within the same hospital (p <0.05) and even within the same specialty (p<0.05). There was a weak association (Lift:1.00-1.17) of referral behaviors between dermatology and neurology. Across the three hospitals, the average number of visits to a neurologist for ZAP was 1.42-2.49, with an average electronic health record duration of 11-15 days per patient. After consulting with a neurologist, some patients were referred to other specialists. Conclusion: It was observed that patients with HZ and ZAP tended to visit a variety of specialists, with only a small number seeking the assistance of neurologists. However, from the perspective of neuroprotection, it is the duty of neurologists to provide more means.

Cost supervision mining from EMR based on artificial intelligence technology.

BACKGROUND: To effectively monitor medical insurance funds in the era of big data, the study tries to construct an inpatient cost rationality judgement model by designing a virtuous cycle of inpatient cost supervision information system and exploring a complete set of inpatient cost supervision methods. OBJECTIVE: To lay the foundation for applying artificial intelligence (AI) technology in medical insurance cost control supervision and provide feasible paths and available tools for medical insurance cost control managers. METHODS: By way of collecting and cleaning electronic medical record (EMR) data from 2016 to 2018 of a city in East China, focusing on basic patient information and cost information, and using a combination of machine learning modeling and information system construction, the study tries to form a feasible inpatient cost supervision method and operation path. RESULTS: The set of the regulatory method, applied in nursing homes of a city in East China, is compelling. The accuracy rates of rationality judgement in different main diseases are stable up to 80%, the false positive rate is steady within 10%, and rehabilitation fee days of hospitalization, and the number of complications are important factors affecting the rationality of the inpatient cost. CONCLUSION: The model construction and optimization method combining machine learning and information system can make practical cost rationality judgement on medical institution's inpatient cost data, which can directly reflect the key influencing factors of relevant inpatient costs, and achieve the effect of guiding medical behavior and improving the efficiency of medical insurance fund use.

Covid-19 vaccine effectiveness during Omicron BA.2 pandemic in Shanghai: A cross-sectional study based on EMR.

Large-scale vaccination against the spread and mutation of COVID-19 is being implemented in many countries. We aimed to assess the effectiveness of certain vaccines (87.35% inactivated), mainly Sinovac - CoronaVac and Sinopharm (Beijing) - BBIBP-CorV, during the Omicron BA.2 pandemic by cross-sectional study. The study was conducted in a cabin hospital of Shanghai, China. A total of 1194 Covid-19 patients infected with Omicron BA.2 were enrolled and epidemiological survey information was collected from the subjects through electronic medical records and questionnaires, from March 23th to April 1st in 2022. Vaccine effectiveness was reflected by the occurrence of multi-dimensional symptoms while adjusting for confounding variables. In the unstandardized vaccinated group, the Covid-19 vaccine effectiveness of Omicron BA.2 in the male group was higher than in the female group (P = .0171). In the standardized vaccinated group, vaccine effectiveness in [20, 40) age group was higher than in other age groups (P = .0002). Adjusting for gender and age, Covid-19 vaccine effectiveness of Omicron BA.2 at the specific level was 87.42% (95% confidence interval [CI], 72.35-94.28, P < .0001), and 62.65% (95% CI, 1.47-85.84, P = .047) in the unstandardized vaccinated and the standardized vaccinated group, respectively. Covid-19 vaccine effectiveness of Omicron BA.2 was not apparent at the general level but remained effective for the specific symptom. Further development for the Covid-19 vaccine is necessary.

Achieving Universal Wearing of Face Masks During the COVID-19 Pandemic: A Practical Solution from Shanghai, China.

BACKGROUND: Face masks are basic protective equipment for preventing respiratory infectious diseases. The measures to properly dispose of and allocate face masks during the early stage of an epidemic caused by respiratory infectious diseases deserve worldwide attention. METHODS: A qualitative research approach was used to document the practice of a citywide face mask-wearing strategy of the Shanghai Municipal Government (called the "Shanghai solution" in this article). Based on data from government work documents, an online face mask-allocation and sales system was built to offer real-time updates of face-mask appointments and sales information in all designated pharmacies and neighborhood committees in Shanghai. RESULTS: In the Shanghai solution, a total of 24.8 million residents in 6,031 committees were covered, in order to achieve universal wearing of face masks during the COVID-19 crisis. Up to 110 million face masks were dispensed to residents in six rounds of face-mask allocation during February to April. This practical experience in Shanghai solved two key problems (insufficient face-mask capacity, protection of vulnerable population) with the supply of face masks by addressing four essential characteristics: overall coordination, on-demand distribution, efficient distribution, and technical support. CONCLUSION: The practice of the citywide face mask-supply strategy of Shanghai could provide several pointers for management of a shortage of emergency materials, dispatch, and transport to other countries during the pandemic.

[Psychological care combined with enhanced recovery after surgery management in perioperative nursing care of andrological patients: A randomized controlled study].

OBJECTIVE: To evaluate the validity of psychological care combined with enhanced recovery after surgery (PC+ERAS) management in perioperative nursing care of andrological patients. METHODS: A total of 300 male patients undergoing andrological surgery were included in this study, 150 given PC+ERAS and the other 150 receiving routine nursing care as controls. We evaluated anxiety and depression of all the patients on admission and discharge using Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS), and compared post-operative hospital days, off-bed time, first passage of flatus, Visual Analog Scale (VAS) score and satisfaction with nursing care between the two groups of patients. RESULTS: On discharge, significant improvement was observed in SAS and SDS scores in the PC+ERAS group compared with the baseline, even more significant than in the control group (P < 0.01), but no obvious improvement was seen in the controls (P > 0.05). The patients in the PC+ERAS group also achieved a significantly shorter post-operative hospital stay, earlier post-operative off-bed time and passage of flatus, lower VAS score, and higher satisfaction with nursing care than those in the control group (P < 0.05). CONCLUSIONS: Psychological care combined with ERAS management deserves wide application in the perioperative nursing care of andrological patients, which can significantly improve the patients' anxiety and depression, shorten post-operative hospital stay, reduce VAS score, and increase their satisfaction with nursing care.

Local Injection of Methylcobalamin Combined with Lidocaine for Acute Herpetic Neuralgia.

OBJECTIVE: To determine the efficacy of methylcobalamin combined with lidocaine for acute herpetic neuralgia. DESIGN: Randomized controlled trial with longitudinal analysis. SUBJECTS: The authors recruited 204 patients (>50 years) with T5-10 dermatomal acute herpetic neuralgia with rash onset within 7 days. Patients were divided into two groups based on the time of onset: immediate-early (IE, 1-3 days) and early stage (ES, 4-7 days) groups and then subdivided randomly into control (IE-Ctl, ES-Ctl) and treatment (IE-Tr, ES-Tr) groups. METHODS: Control groups received intramuscular methylcobalamin in addition to local lidocaine injection, while treatment groups received local methylcobalamin combined with lidocaine injection for 14 days. Treatment efficacy was assessed based on rash healing time, alteration in pain intensity, and interference with quality of life. Multilevel mixed modeling and survival analysis were employed to examine treatment responses. RESULTS: There was no significant difference in the rash healing time between IE and ES. The mean pain scores in IE-Tr (2.4 ± 0.7) and ES-Tr (1.3 ± 0.7) decreased significantly compared with those in the control groups. The median satisfactory response time was 6 days in ES-Tr and 11 days in IE-Tr. The benefit ratio for ES-Tr versus IE-Tr was 14.94. The subjects in IE-Tr and ES-Tr had higher quality of life scores (81.2 ± 6.9 vs 88.3 ± 8.6, respectively) than those in the control groups. The incidence of postherpetic neuralgia was 1.1% at 3 months. CONCLUSIONS: Local methylcobalamin combined with lidocaine, optimally administered within 4-7 days of onset, may be an effective therapeutic option for acute herpetic neuralgia.

Local Administration of Methylcobalamin and Lidocaine for Acute Ophthalmic Herpetic Neuralgia: A Single-Center Randomized Controlled Trial.

OBJECTIVES: To determine the therapeutic efficacy of combined methylcobalamin and lidocaine for acute ophthalmic herpetic neuralgia (AOHN). METHODS: Based on the onset, patients with AOHN (n = 98) were randomly allocated into groups A (≤ 3 days) and B (4 to 7 days) and then subdivided into control (A0, B0; received intramuscular methylcobalamin in addition to local lidocaine injection) and treatment (A1, B1; received local injection of the methylcobalamin and lidocaine combination for 14 days) groups. Treatment efficacy was assessed based on rash healing time, alteration of pain intensity, and interference with quality of life. Multilevel modeling and survival analysis were performed. RESULTS: The time (hours) to start and full opening of the affected eye and the time (hours) to start and full crusting were significantly reduced in both treatment groups (P < 0.05 vs. controls). The mean pain scores in A1 (2.6 ± 0.7) and B1 (1.2 ± 0.8) decreased significantly compared with those in A0 (7.0 ± 1.7) and B0 (5.6 ± 1.9), and the difference between the two therapeutic strategies significantly increased over time. The median minimum intervention time was 6 days in B1 and 11 days in A1. The incidence of postherpetic neuralgia (PHN) was 2.04% at 3 months. CONCLUSIONS: Methylcobalamin combined with lidocaine mediated detumescence and improved cutaneous healing of the affected area, as well as a significant and sustained analgesic effect on AOHN. The incidence of PHN was also significantly decreased. Local methylcobalamin intervention within 4 to 7 days of onset may be an effective therapeutic option for AOHN.