Pulmonary Microcirculation during Experimental Pulmonary Thromboembolism under Conditions of Activation and Blockade of Muscarinic Acetylcholine Receptors

Evlakhov, V. I.; Berezina, T. P.; Poyassov, I. Z.; Ovsyannikov, V. I.

doi:10.1007/s10517-021-05194-4

Cited by 6 publications

(1 citation statement)

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“…Patients can be diagnosed if they meet any of the following 5 items: (1) CT pulmonary angiography suggests pulmonary embolism; (2) pulmonary angiography suggests pulmonary embolism; (3) pulmonary radionuclide ventilation and perfusion scans indicate that ventilation and perfusion imaging do not match and indicate pulmonary embolism, while clinical tests indicate a high probability of pulmonary embolism; (4) surgery or autopsy confirms thrombosis in the pulmonary artery; and (5) pulmonary embolism is diagnosed within three months of follow-up [ 19 ].…”

Section: Methodsmentioning

confidence: 99%

Clinical Characteristics of Patients with Pulmonary Thromboembolism Based on Computer Statistical Analysis

Wang

Jia

Pang

2022

Journal of Healthcare Engineering

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In order to explore the reliable clinical characteristics of patients with pulmonary thromboembolism, this paper applies computer statistical analysis methods to the analysis of clinical characteristics of patients with pulmonary thromboembolism. Moreover, starting from the actual situation, this paper combines experiments to study the case, uses sample screening and sample processing to group samples freely, and conducts grouping reliability research through data statistics methods. After verifying the reliability of the grouping, this paper combines the samples to test the effectiveness of the computer statistical analysis method applied to the clinical characteristic analysis of patients with pulmonary thromboembolism and conducts numerical analysis in combination with the comparative analysis method. The results of the research show that the computer statistical method proposed in this paper has a good effect on the clinical characteristics of patients with pulmonary thromboembolism and meets the actual needs of clinical analysis.

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Section: Methodsmentioning

confidence: 99%