Shortening door-to-puncture time and improving patient outcome with workflow optimization in patients with acute ischemic stroke associated with large vessel occlusion.

OBJECTIVE: We aimed to evaluate door-to-puncture time (DPT) and door-to-recanalization time (DRT) without directing healthcare by neuro-interventionalist support in the emergency department (ED) by workflow optimization and improving patients' outcomes. METHODS: Records of 98 consecutive ischemic stroke patients who had undergone endovascular therapy (EVT) between 2018 to 2021 were retrospectively reviewed in a single-center study. Patients were divided into three groups: pre-intervention (2018-2019), interim-intervention (2020), and post-intervention (January 1st 2021 to August 16th, 2021). We compared door-to-puncture time, door-to-recanalization time (DRT), puncture-to-recanalization time (PRT), last known normal time to-puncture time (LKNPT), and patient outcomes (measured by 3 months modified Rankin Scale) between three groups using descriptive statistics. RESULTS: Our findings indicate that process optimization measures could shorten DPT, DRT, PRT, and LKNPT. Median LKNPT was shortened by 70 min from 325 to 255 min(P < 0.05), and DPT was shortened by 119 min from 237 to 118 min. DRT shortened by 132 min from 338 to 206 min, and PRT shortened by 33 min from 92 to 59 min from the pre-intervention to post-intervention groups (all P < 0.05). Only 21.4% of patients had a favorable outcome in the pre-intervention group as compared to 55.6% in the interventional group (P= 0.026). CONCLUSION: This study demonstrated that multidisciplinary cooperation was associated with shortened DPT, DRT, PRT, and LKNPT despite challenges posed to the healthcare system such as the COVID-19 pandemic. These practice paradigms may be transported to other stroke centers and healthcare providers to improve endovascular time metrics and patient outcomes.

Credit risk assessment in bank based on SMEs using PCA

In recent years, small and medium-sized enterprises (SMEs) have gradually become the backbone of China’s national economic development due to their strong innovation ability and high operational efficiency. However, such enterprises have poor anti risk ability in the early stage of development and need banks to lend to them. In order to help banks quickly and accurately evaluate the ability of small and medium-sized enterprises to determine the amount of loans, this paper proposes a comprehensive ability evaluation model based on PCA algorithm. Considering the strong impact of the new COVID-19 on SMEs in 2020, we introduce this sudden factor into the model to improve the adaptability of the model and help banks to accurately evaluate the enterprise capacity under the COVID-19.

AI-assisted quantitative lung CT evaluation following umbilical cord mesenchymal stem cell treatment in severe COVID-19 patients (preprint)

Background: The COVID-19 has high transmission and mortality. Previous studies support the efficacy and safety of mesenchymal stem cells (MSCs) in the treatment of lung injury. In this study, We aimed to evaluate the CT changes of lung lesions in severe COVID-19 patients treated with umbilical cord mesenchymal stem cells (UC-MSCs) by using AI-assisted quantification method.Methods46 patients with severe COVID-19 from March 5 to April 1, 2020 were selected by single-blind, non-randomized controlled clinical study and divided into three groups: 11 cases in UC-MSCs treatment group 1 (MSC-1, with cells infusion once), 26 cases in UC-MSCs treatment group 2 (MSC-2, with cells infusion twice or three times), and 9 cases in control group with routine treatment. Repeated measure ANOVA was used to compare the effects of treatment factors on chest CT parameters of COVID-19 patients between control and experimental groups, and pairwise comparison using LSD test.FindingsThe differences between the percentage of GGO in total lung or the percentage of total lung infection volume on day 0 and that in day 60 as well as in day 90 were statistically significant among the three groups. The P values were 0.034 and 0.018 respectively. Pairwise comparison results showed that the percentage difference of the whole lung GGO and total lung infection volume in MSC-1 group was smaller than that in control group and MSC-2 group respectively, but there was no statistical difference between control group and MSC-2 group. The distribution characteristics and other CT parameters post-proceeded by AI software were not significantly different among the three groups. There were no serious adverse events related to stem cell infusion in all treated patients.InterpretationUC-MSC infusion is safe for the treatment of severe COVID-19 patients. The absorption of lung lesions at 60 days and 90 days after UC-MSC infusion once was more obvious than that in the control group. AI quantification of lung lesions is more suitable for comparative studies before and after treatment.

The Significance of KL-6 as Prognosis Monitoring Biomarker in Patients With Severe COVID-19 From Stabilized Stage Toward Convalescence (preprint)

Background: This study aims to identify some biomarkers for monitoring the recovery of lung injury in severe COVID-19 patients from stabilized stage toward convalescence.Methods: We enrolled participants who diagnosed with severe COVID-19 (n = 28) and health volunteers (n = 25) from Taikang Tongji (Wuhan) Hospital. The patients were in a stabilized stage and had a course of 48.1±12.8 days. We followed these patients for 90 days. The blood routine, cytokines (IL-1β, IL-2, IL-4, IL-5, IL-6, IL-10, IL-12p70, IL-17A, TNF-α, IFN-α, IFN-γ), type II alveolar epithelium injury indicators (Surfactant protein A (SP-A), Krebs von den Lungen-6 (KL-6)) and chest CT were tested on the 1, 30, 60, and 90 days after enrollment. Results: In stabilized stage, the parameters of blood routine and some cytokines (IL-1β, IL-2, IL-4, IL-12p70, TNF-α) had bounced back to normal (p>0.05). Some cytokines (IL-5, IL-6, IL-10, IL-17A, IFN-α, IFN-γ) and type II alveolar epithelium injury indicators (SP-A and KL-6) were still higher than normal (p<0.05). During the stabilized stage to convalescence, in spite of the variation of monocyte count, monocyte/lymphocyte ratio, IL-5, IL-10, IL-12p70, IL-17A, IFN-γ, IFN-α, SP-A and KL-6 were downward trend (p<0.05), only KL-6 level (p<0.05) could simultaneously reflect the lung injury volume which be measured by CT. Conclusions: Our preliminary data indicated that KL-6 could be an effective prognostic biomarker for monitoring the recovery of lung function in patients with severe COVID-19 from stabilized stage toward convalescence.

Discovering Correlations between the COVID-19 Epidemic Spread and Climate.

The outbreak of Corona Virus Disease 2019 (COVID-19) has affected the lives of people all over the world. It is particularly urgent and important to analyze the epidemic spreading law and support the implementation of epidemic prevention measures. It is found that there is a moderate to high correlations between the number of newly diagnosed cases per day and temperature and relative humidity in countries with more than 10,000 confirmed cases worldwide. In this paper, the correlation between temperature/relative humidity and the number of newly diagnosed cases is obvious. Governments can adjust the epidemic prevention measures according to climate change, which will more effectively control the spread of COVID-19.

[Dandelion clock-like sign on CT for diagnose of COVID-19].

OBJECTIVE: To explore the value of the "dandelion clock-like" sign on chest CT for diagnosis of SARS-CoV-2-associated pneumonia. METHODS: This retrospective analysis was conducted based on the data of 119 cases from the Department of Fever and the Department of Infection undergoing chest high-resolution CT examinations in Sanshui District People's Hospital between January, 24 and February 10, 2020. The cases with no abnormality on chest CT were excluded. Twenty-three patients were diagnosed to have pneumonia, including 9 with SARS-CoV-2-associated pneumonia and 14 with other types of pneumonia. We comparatively analyzed the CT signs, location of the lesions and the dandelion clock-like sign among different types of pneumonia. RESULTS: Among the 23 patients with pneumonia, 9 (39.1%) had common or severe SARS-CoV-2- associated pneumonia with a positive epidemiological history and corresponding respiratory symptoms. Seven of the SARSCoV-2-associated pneumonia patients had multiple lesions in bilateral lungs, compromising mainly the lung field and the subpleural area and showing patchy, lumpy, and umbrella-shaped ground glass opacity, often accompanied by pulmonary vascular thickening and increased microvessels, interlobular septal thickening and fibrosis and lined with grid-like and small-bubble-like "crazy-paving" patterns. The dandelion clock-like sign was found in all the 9 patients with SARSCoV-2-associated pneumonia, with a total of 46 lesions (60.5%, 76 total lesions); 9 of the lesions presented with a "dandelion clek-like" sign and 37 with a "dandelion seed sign". These signs were not found in the 14 patients with other types of pneumonia. CONCLUSIONS: The dandelion clock-like sign is a common and characteristic chest CT finding in patients with SARS-CoV-2-associated pneumonia, and can help to distinguish SARS-CoV-2-associated pneumonia from other types of pneumonia.