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1.
World J Clin Cases ; 10(25): 8872-8879, 2022 Sep 06.
Article in English | MEDLINE | ID: covidwho-2006526

ABSTRACT

BACKGROUND: Misuse of disinfectants during the coronavirus disease 2019 pandemic has led to several poisoning incidents. However, there are few clinical case reports on poisoning caused by improper mixing of household disinfectants. AIM: To summarize the clinical characteristics and treatment effects of chlorine poisoning caused by improper mixing of hypochlorite bleach with acidic cleaning agents.METHODSWe retrospectively analyzed baseline and clinical data, clinical symptoms, and treatment methods of seven patients with chlorine poisoning who were admitted to the National Army Poisoning Treatment Center. RESULTS: Among the seven patients, the average poisoning time (exposure to admission) was 57 h (4-240 h). All patients were involved in cleaning bathrooms. Chest computed tomography scans revealed bilateral lung effusions or inflammatory changes in five patients. The partial pressure of oxygen decreased in six patients, and respiratory failure occurred in one. Five patients had different degrees of increase in white blood cell count. Humidified oxygen therapy, non-invasive mechanical ventilation, anti-inflammatory corticosteroids, antioxidants, and antibiotics were administered for treatment. The average length of hospital stay was 7 d (4-9 d). All seven patients recovered and were discharged. CONCLUSION: Improper mixing of household disinfectants may cause damage to the respiratory system due to chlorine poisoning. Corticosteroids may improve lung exudation in severe cases, and symptomatic supportive treatment should be performed early.

2.
Ann Med ; 53(1): 34-42, 2021 12.
Article in English | MEDLINE | ID: covidwho-1574894

ABSTRACT

BACKGROUND: Studies have demonstrated the diagnostic efficiency of antibody testing in COVID-19 infection. There is limited data on the IgM/IgG changes in asymptomatic and discharged patients with reoccurring positive nucleic acid test (RPNAT). This study aims to investigate these IgM/IgG changes. METHODS: There were 111 patients with positive nucleic acid test (NAT) and 40 suspected patients enrolled in the study. The serum SARS-CoV-2 specific IgM/IgG antibody levels were retrospectively analysed with the disease progress in asymptomatic and RPNAT patients. RESULTS: The best overall performance was found by combining the IgM, IgG, and CT; 95.1% sensitivity and 75% specificity. This was tested in 111 RT-PCR positive cases. The median IgM and IgG levels were lower in the asymptomatic group compared to the symptomatic group (p < .01). Among 15 RPNAT cases, the IgM levels of the RPNAT group at the time of discharge (IgM2.79, IQR: 0.95-5.37) and retest (IgM 2.35, IQR: 0.88-8.65) were significantly higher than those of the non-reoccurring positive nucleic acid test group (Non-RPNAT) (IgM on discharge: 0.59, IQR: 0.33-1.22, IgG on retest: 0.92, IQR: 0.51-1.58). CONCLUSION: Serum SARS-CoV-2 specific IgM/IgG antibody levels remained at a low level during hospitalisation for asymptomatic patients. Elevated IgM levels may have implications in the identification of RPNAT patients before discharge. Key messages This study determined the IgM/IgG changes in asymptomatic and RPNAT patients. The rate of serum SARS-CoV-2 specific IgM/IgG antibody levels increase in the asymptomatic group was lower than in the symptomatic group during hospitalisation. The IgM level did not decrease significantly at discharge in the RPNAT patients, and was higher than that of the Non-RPNAT group on discharge. These results highlight the importance of timely monitoring of IgM levels to identify RPNAT patients before discharge.


Subject(s)
Antibodies, Viral/blood , Betacoronavirus/isolation & purification , Coronavirus Infections/immunology , Immunoglobulin G/blood , Immunoglobulin M/blood , Pneumonia, Viral/immunology , COVID-19 , COVID-19 Testing , Case-Control Studies , Clinical Laboratory Techniques , Coronavirus Infections/diagnosis , Female , Humans , Immunoenzyme Techniques/methods , Male , Pandemics , Retrospective Studies , SARS-CoV-2
3.
Curr Med Imaging ; 17(11): 1324-1329, 2021.
Article in English | MEDLINE | ID: covidwho-1574892

ABSTRACT

BACKGROUND AND AIMS: Coronavirus Disease 2019 (COVID-19) pandemic has become a global health issue. This study aimed to explore the clinical characteristics and CT imaging features of patients with COVID-19 on admission. METHODS: Consecutive patients with laboratory-confirmed COVID-19 were retrospectively recruited to this study from January 2020 to March 2020. According to the disease severity status on admission, patients were divided into two groups, the common group, and the severe group. RESULTS: Forty-four patients (F/M 20/24) who were COVID-19 positive were enrolled in this study. The most common onset symptom was fever (90.9%), followed by cough (43.2%). As for the laboratory tests, common findings included increased C reactive protein (47.7%) and erythrocyte sedimentation rate (43.2%) and decreased lymphocyte (34.1%). The frequency of decreased lymphocyte count and increased lactate dehydrogenasewas higher in the severe group (n=14) than in the common group (n=30). About 86% of patients showed typical imaging findings of COVID-19 infection, including ground-glass opacity with ill-defined margins, air bronchogram, interlobular septal thickening, and consolidation. Lesions were mainly located in the peripheral and subpleural regions with diffused distribution and multiple lung lobes were found to be affected. CONCLUSION: Fever and cough were the most common onset symptoms of COVID-19. Increased C reactive protein and erythrocyte sedimentation rate were the most common laboratory findings. Typical signs of chest CT imaging of COVID-19 included ground-glass opacity with ill-defined margins, air bronchogram, interlobular septal thickening, and consolidation.


Subject(s)
COVID-19 , Humans , Retrospective Studies , SARS-CoV-2
4.
Chinese Journal of Virology ; 36(4):549-553, 2020.
Article in Chinese | GIM | ID: covidwho-1408665

ABSTRACT

To investigate the recurrence rate of coronavirus disease 2019(COVID-19) after discharge and type of SARS-CoV-Z nucleic acid-positive samples from patients with recurrence of SARS-CoV-Z in Dazu District, Chongqing, China, all patients were kept in isolation for 14 days, then quarantined at home for 4 weeks after discharge, during which time nasopharyngeal swabs, oropharyngeal swabs, feces, saliva, and urine were collected to test for SARS-CoV-Z nucleic acids by RT-PCR, and symptoms and signs were documented. Results showed that there were no symptoms or signs during isolation for any patient. However, specimens from three patients were confirmed positive for SARS-CoV-Z nucleic acids 3 to 14 days after discharge. SARS- CoV-Z nucleic acids were detected in saliva samples from two patients with recurrence of SARS-CoV-Z. The present study suggested that there is a relatively high incidence of positive tests for SARS-CoV-Z nucleic acids in patients after discharge. This is the first time that SARS-CoV-Z nucleic acids were detected in saliva samples. Whether the virus is infectious in these patients requires further study.

5.
Chin Med Sci J ; 36(1): 66-71, 2021 Mar 31.
Article in English | MEDLINE | ID: covidwho-1187235

ABSTRACT

In the era of coronavirus disease 2019 (COVID-19) pandemic, imported COVID-19 cases pose great challenges to many countries. Chest CT examination is considered to be complementary to nucleic acid test for COVID-19 detection and diagnosis. We report the first community infected COVID-19 patient by an imported case in Beijing, which manifested as nodular lesions on chest CT imaging at the early stage. Deep Learning (DL)-based diagnostic systems quantitatively monitored the progress of pulmonary lesions in 6 days and timely made alert for suspected pneumonia, so that prompt medical isolation was taken. The patient was confirmed as COVID-19 case after nucleic acid test, for which the community transmission was prevented timely. The roles of DL-assisted diagnosis in helping radiologists screening suspected COVID cases were discussed.


Subject(s)
COVID-19 Testing/methods , COVID-19/diagnostic imaging , Deep Learning , Lung/diagnostic imaging , Tomography, X-Ray Computed/methods , Adult , Beijing , Community-Acquired Infections/diagnostic imaging , Humans , Male
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