关键词: 家族聚集性, 新型冠状病毒肺炎, 体层摄影术, X线计算机, 转归

Abstract: Objective To investigate the chest CT manifestations and outcomes of 25 cases of family clustering coronavirus disease 2019 (COVID-19) in 8 families. Methods Retrospectively, clinical and CT imaging data of 8 groups of family clustering COVID-19 patients admitted to the Eighth People's Hospital of Guangzhou was collected.Results Seven patients (28.0%) had negative chest CT from onset, cured to discharged. Another 4 patients (16.0%) had a positive chest CT 6 days after admission. Two patients (8.0%) had scattered single lung lobe and 16 patients (64.0%) with a multiple lesion of both lungs, mainly manifested by ground glass shadow (16/25, 64.0%); while a few fibrous cord shadow and ground glass shadow coexist (2/25, 8.0%), and some are accompanied by bilateral pleural thickening (3/25,12.0%). On April 9, 2020, all groups of 5 families were discharged from the hospital, 1 group of 3 critically ill patients was still being treated, 1 group of 1 severely ill patient was transferred to hospital for treatment, and another 1 group of imported cases has reached the discharge standard, but still under isolation observation. The earliest and latest onset of 8 groups of families was (6.1 ± 4.3) d, time from onset to visit was (4.3 ± 3.9) d, nucleic acid negative time was (18.0 ± 8.6) d, CT progression time was (9.6 ± 3.3) d, CT absorption time was (15.0 ± 2.9) d, and the total course of disease was (20.2 ± 6.3) d. Conclusion COVID-19 and HBV family clustering pattern infections are the same. The two aggregation methods of sibling infection and parent-child infection are the most common. The CT performance of family members does have certain similarities, but because some family members have different onset times, there are some differences in the stage of the chest CT image, the early stage and the advanced stage, but the overall distribution characteristics of the lesions gradually progress toward the same when the disease progresses.

Key words: Family clustering, Coronavirus disease 2019, Tomography, X-ray computed, Outcome