Most patients with coronavirus disease 2019 (COVID-19) have a good prognosis, but a certain proportion of the elderly and people with underlying diseases are still prone to develop into severe and critical COVID-19. Kidney is one of the common target organs of COVID-19. Acute kidney injury (AKI) is a common complication of severe COVID-19 patients, especially critical COVID-19 patients admitted to intensive care units. AKI associated with COVID-19 is also an independent risk factor for poor prognosis in patients. This article mainly focuses on the epidemiological data, possible pathogenesis, diagnostic criteria, and prevention and treatment based on the 5R principle of AKI associated with COVID-19. It summarizes the existing evidence to explore standardized management strategies for AKI associated with COVID-19.
ObjectiveTo analyze the clinical characteristics and epidemiological characteristics of patients with coronavirus disease 2019 treated early in Jiangxi province.MethodsFour-night patients with coronavirus disease 2019 treated in this hospital from January 21st to 27th, 2020 were included in this study. The epidemiological and clinical data of patients after admission were collected, and laboratory tests such as blood routine, urine routine, stool routine, liver and kidney function, electrolytes, myocardial enzymes, erythrocyte sedimentation (ESR), C-reactive protein (CRP), calcitonin, coagulation, T cell subset and Chest CT were reviewed. The clinical results of common and severe/critically ill patients were compared.ResultsOf the 49 patients, 40 were common and 9 were severe/critical. Fourty-six patients had a clear history of contact with Wuhan or other areas of Hubei. The sex ratio was 2.06∶1, and the average age was 42.9 years. The symptoms were mainly fever (78.7%), cough (38.8%), and fatigue (18.4%). 28.6% (14 cases) of patients had hypertension and diabetes. Serum lymphocyte count and calcium concentration of the patients were decreased, but lactate dehydrogenase, ESR, CRP and serum amyloid A were increased in these patients. T lymphocyte subsets (CD3+, CD4+, CD8+) decreased significantly in these patients. Forty-seven patients (95.9%) had single or scattered patchy ground glass density shadows on the chest CT. Compared with common patients, the patients with severe/critical patients were older (P=0.023), hospitalized later (P=0.002), and had higher comorbidities (P=0.017). ESR (P=0.001）, CRP (P=0.010) and the serum amyloid A (P=0.040) increased significantly, while CD3+ (P<0.001), CD4+ (P=0.012), CD8+ (P=0.006) decreased significantly in severe/critical patients.ConclusionsThe patients with coronavirus disease 2019 in Jiangxi province are commonly imported from Wuhan. Severe/critical patients are older, hospitalized later, and have more medical complications and more severe systemic inflammatory reactions than common patients.
Since January 2020, due to the epidemic of coronavirus disease 2019, all universities in China have postponed their studies or even suspend their studies. In response to the teaching policy of “suspending class, but keeping teaching and learning” , college teachers have rapidly changed into online teaching mode. However, how to ensure the quality and effect of online teaching still needs further exploration. Through analyzing the course characteristics of medical imaging diagnostics and students’ learning situations, this study discusses how to design detailed online teaching projects and improve the teaching quality and how to select online software suitable for the course. A questionnaire survey was conducted to evaluate the effect of online teaching during the spring course in 2020, selecting a total of 297 clinical and other undergraduate students of grade 2017 from West China School of Medicine of Sichuan University. The results showed that the detailed online teaching programs including “video learning” “distance teaching” “periodic examination” “weakness tutorial” were helpful to the learning process agreed by the majority of students. During the epidemic period, online teaching method can help students master the content of medical imaging diagnosis. In the era of Internet, the “online+offline” teaching mode is expected to be popularized in the future.
ObjectiveTo investigate the high-resolution computed tomography (HRCT) signs of patients diagnosed with the coronavirus disease 2019 (COVID-19) and explore its evolution features during hospitalization.MethodsFrom January 17, 2020 to February 26, 2020, HRCT images from 15 COVID-19 patients were analyzed. All the patients had positive nucleic acid test results of SARS-CoV-2. The imaging features of initial and follow-up of each patient were reviewed and graded based on the severity of lung lesions.ResultsAmong the 15 COVID-19 patients, ground-glass opacity (GGO) was found in 14 cases. Six patients presented with consolidation and 3 with fibrosis. Five patients had multi-lobe involvement. Subpleural distribution pattern was present in 12 patients (80.0%) and peribronchovascular distribution pattern was present in 2 patients (13.3%). The severity score on HRCT images at the follow-up was significantly higher than that at the initial (4.6±3.4 vs. 3.5±2.5, P=0.018 2). Increase of random distribution pattern (5 cases) were also noted at the follow-up.ConclusionsChest HRCT of COVID-19 patients is characterized with GGO mainly distributed in subpleural areas and a rapid progression within a short time interval. HRCT could provide a sensitive monitor to observe disease progression for COVID-19 patients.
ObjectiveTo compile the information overload severity scale in the situation of coronavirus disease 2019 epidemic, and evaluate the reliability and validity.MethodsFrom February to March 2020, according to the procedures of literature analysis, semi-structured interview, and expert consultation, an initial scale was formed; and then the online scale was measured, and the scale items were screened based on the measured results of the scale. The reliability was evaluated by Cronbach’s α coefficient, and the validity was tested by exploratory factor analysis.ResultsThere were 8 items in the initial scale. The scale items were screened based on the degree of dispersion, the correlation coefficient with the total score, and the factor-load-related indicators, and finally a 7-item scale was formed. The factor analysis results of the scale showed that one component could be extracted from the scale, and the reliability analysis showed that the total Cronbach’s α coefficient of the scale was 0.863.ConclusionThe information overload severity scale has good reliability and validity, which can provide strong support for related research after the outbreak of coronavirus disease 2019 and other major public events.
ObjectiveTo analyze dynamic characteristics of peripheral blood cells in patients with different types of coronavirus disease 2019 (COVID-19), so as to investigate the predictive value of peripheral blood cells and their dynamic changes for clinical outcome of patients with COVID-19.MethodsForty-eight patients with COVID-19 were collected and analyzed from East Hospital of Renmin Hospital of Wuhan University from February 2 to March 15, 2020. These patients were divided into general group (group A, 17 cases), severe survival group (group B, 21 cases), and severe death group (group C, 10 cases). Blood routine examination was done and analyzed before and after admission and among the three groups. The changes of neutrophils and lymphocytes were compared. The predictive power of neutrophils, lymphocytes, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) for clinical outcomes was analyzed through the receiver operating characteristic (ROC) curve.ResultsIn group B, the lymphocyte count at discharge was significantly higher than at admission (P=0.002), and the neutrophil count, NLR and PLR were significantly lower than at admission (P values were 0.012, 0.001 and 0.007, respectively). The lymphocyte counts in the A, B, and C groups were ranked from high to low upon admission, and the differences among the three groups were statistically significant (P values were 0.020, <0.001 and 0.006 for the contrasts between groups A and B, groups A and C, groups B and C, respectively), the NLR were ranked from low to high, and the differences among the three groups were statistically significant (P values were 0.001, <0.001 and 0.026 for the contrasts between groups A and B, groups A and C, groups B and C, respectively). Before discharge or death, there was no significant difference in lymphocyte counts and NLR between A and B groups (P>0.05), and there were statistically significant differences between group C and groups A and B (all P values were<0.001). The proportions of “Neutrophils Lymphocytes Convergence” in groups A and B were 64.7% and 76.2%, respectively, which were significantly higher than that in group C (10.0%). The proportions of “Neutrophils Lymphocytes Separation” in group C was 70.0%, which was significantly higher than those in groups A (0) and B (4.8%). The area under the curve of NLR predicting patients with severe disease (excluding death) was 0.843, with the sensitivity and specificity of ≥3.55 be 0.810 and 0.882; The area under the curve of lymphocyte count predicting death in severe patients was 0.845, with the sensitivity and specificity be 0.700 and 0.905, respectively.ConclusionsDynamic changes in the composition of peripheral blood cells are one of the clinical features of COVID-19, “Neutrophils Lymphocytes Convergence” and “Neutrophils Lymphocytes Separation” predict better and worse clinical outcomes, respectively. NLR and lymphocyte counts are effective indicators for predicting the severity and death of COVID-19.
Coronavirus disease 2019 has been widespread in Hubei province since the beginning of 2020. Many medical teams went to aid Hubei from the whole country. The medical team of West China Hospital of Sichuan University arrived in Jianghan district of Wuhan on January 25, 2020. As one of the earliest teams arriving Hubei, we explored the measures for infection prevention and control of resident, in order to reduce the risk for infection of medical team. The infection prevention and control experiences on the establishment of infection control team, process management, behavior management, clean disinfection, infection monitoring and emergency response and emergency response to exposure of the medical team of West China Hospital were summarized in this article.
Objective To evaluate the coronavirus disease 2019 (COVID-19) impact on diagnosis related groups (DRGs) in a general hospital based on the front page of the medical record. Methods The first page data of discharge medical records of Nanjing First Hospital from February to March 2019 (before the epidemic) and from February to March 2020 (during the epidemic) were selected. Five indexes including total weight, number of DRGs, case mixed index index, time consumption index and cost consumption index were calculated. The rank of DRGs indexes of departments was compared by rank-sum ratio (RSR) method. The departments were sorted by frequency distribution and linear regression equation. Meanwhile, the COVID-19 impact on DRGs index of surgical departments and non operative departments was observed. Results Twenty-eight departments were included from February to March 2019, and 25 departments were included from February to March 2020. After the outbreak of COVID-19, the total DRGs index rank (RSR) decreased from 12.982 to 11.710. Ophthalmology, burn and plastic surgery, orthopedics, otorhinolaryngology, stomatology and pain department were the departments with lower ranking; the departments of gynecology, oncology, immunology and neurology were ranked higher. After the outbreak of COVID-19, the DRGs related indexes of surgical departments and non-surgical departments decreased significantly in terms of total weight and the number of DRGs (P<0.05). Conclusions COVID-19 affects the overall quality of hospital difficulty, and the surgical departments are significantly involved. The RSR level of several departments is reduced. In the face of the epidemic situation, hospitals should offset or weaken the uncertainty brought by the epidemic situation to the hospital disease treatment and ensure the high-quality hospital treatment by improving the “technical source”, ensuring the “disease source pool”, optimizing the “process chain” and strengthening the “new media”.
ObjectiveTo analyze the epidemiological and clinical characteristics of severe cases of coronavirus disease 2019 (COVID-19) in order to provide reference for clinical diagnosis and treatment.MethodThe epidemiological histories, clinical characteristics, laboratory examinations, chest images, and treatment outcomes of 20 confirmed cases of severe COVID-19 admitted to Public Health Clinical Center of Chengdu from January 16th to February 5th, 2020 were retrospectively analyzed.ResultsAmong the 20 patients with severe COVID-19, 12 were male and 8 were female. The age ranged from 34 to 84 years old, with an average of (57.4±16.5) years old. Thirteen patients (65.0%) had one or more co-existing diseases, such as hypertension (9 cases), diabetes (6 cases), and coronary atherosclerotic heart disease (4 cases). Eleven cases (55.0%) had a history of living or traveling in Wuhan, 4 cases (20.0%) had a history of living in non-Wuhan areas of Hubei Province, 3 cases (15.0%) had a history of contact with confirmed COVID-19 patients, while 2 cases had no above-mentioned epidemiological history, but had a history of traveling in non-epidemic areas. The main symptoms were fever (100.0%), cough (100.0%), shortness of breath (75.0%), and fatigue (65.0). Some patients developed into acute respiratory distress syndrome in 3-10 d after onset. The white blood cell count of the patients was normal or decreased, the hypersensitive C-reactive protein and serum amyloid protein significantly increased, while the CD4+ T lymphocyte count and CD56+ natural killer cell count significantly decreased. Sixteen patients (80.0%) were given transnasal hyperbaric oxygenation [among whom 6 patients (30.0%) were transferred to non-invasive ventilator after no improvement], 3 patients (15.0%) were given tracheal intubated ventilator, and 1 patient (5.0%) was treated by tracheal intubated ventilator combined with extracorporeal membrane oxygenation to support breathing. By April 8th, 2020, 3 patients died and the remaining 17 had been cured and discharged, with an average length of hospital stay of 21.4 d. The 3 death cases were all elderly with underlying diseases such as heart disease and pulmonary disease.ConclusionsSevere COVID-19 is associated with hypertension, diabetes, heart disease, and other basic diseases, and some patients develope acute respiratory distress syndrome. Respiratory support may help to improve prognosis.
Due to the coronavirus disease 2019 pandemic, the traditional outpatient and medical center pulmonary rehabilitation models for chronic obstructive pulmonary disease have been limited, while pulmonary rehabilitation technology has always been the focus of clinical and scientific research in rehabilitation. This article reviews the application status of remote pulmonary rehabilitation for chronic obstructive pulmonary disease under the coronavirus disease 2019 epidemic in recent years. From the selection and method of remote pulmonary rehabilitation equipment before the epidemic, to the development of rehabilitation forms and equipment innovation after the epidemic, the current status and problems of remote pulmonary rehabilitation are clarified. Establishing a remote pulmonary rehabilitation model in line with China’s national conditions is the direction and goal of future development.