Clinical Characteristics And α-HBDH Of 133 COVID-19 Patients :a Cohort Study

Objective: To summarize and analyze the epidemic history,clinical symptoms,outcome,CT results and laboratory results of COVID-19 patients.Methods: In the electronic medical record system,the age,sex,clinical symptoms and laboratory examination of all COVID-19 patients in Xiangyang No1 people’s Hospital before February 29,2020 were collected and statistically analyzed.Results: A total of 133 COVID-19 patients were enrolled in this study,including64 males and 69 females,aged 49.39±18.02 years.The peak frequency of symptoms occurred on the first day,and the peak period was from 1st to 7th days,showing a gradual downward trend,95% of the symptoms disappeared in 29 days.The peak of CT score appeared on the 11 th day,and showed an upward trend from 1st to 11 th days.There were significant differences in the types and frequency of symptoms and CT imaging scores among patients with different clinical types.The value of α-HBDH increased at first and then decreased in ≥61 years old group,severe group,critical group and death group,but there was no significant change in other groups.There were significant differences in α-HBDH among different age groups,different clinical types and different prognosis groups(p < 0.001).The optimal scale regression model showed that α-HBDH value(p < 0.001)and age(p < 0.001)were related to clinical type.The first test of α-HBDH since exposure onset appeared on the 8th day,it increased from the8 th day to 18 th day and decreased after the 18 th day.α-HBDH value started to increase1 day before transforming to severe type,while it continued to increase during 4 days before and after transforming to critical type.The α-HBDH median value ranged from191.11 U/L to 455.11U/L before death.Conclusion: The results show that most of the patients in our team are second-generation transmission,and the implementation of isolation from home and restrictions on the movement and contact of people are effective ways to control the second-generation transmission.The elderly,men and patients with underlying diseases are more likely to develop severe and critical type.The difference between death and survival group in early stage might provide a approach to judge the prognosis.The accuracy of the model to distinguish severe/critical type and other types was 85.84%,suggesting that α-HBDH could judge the clinical type accurately.α-HBDH increases1 day before transforming to severe type,continues to increase in critical type and death patients,increases rapidly 5 days before death.The increase of α-HBDH suggests that COVID-19 patients have tissues and organs damage,mainly in heart.In brief,α-HBDH is an important indicator to judge the severity and prognosis of COVID-19.