Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 22
Filter
1.
authorea preprints; 2024.
Preprint in English | PREPRINT-AUTHOREA PREPRINTS | ID: ppzbmed-10.22541.au.170668185.59210467.v1

ABSTRACT

Background: We just right were carrying out a multicenter cohort study about ICH when COVID-19 broke out in Wuhan,and we wondered whether COVID-19 pandemic was associated with the manifestations and outcomes of intracerebral hemorrhage (ICH). Methods: : Acute ICH patients before (1/12/2018-30/11/2019) and during COVID-19(1/12/2019-30/11/2020) pandemic at 31 centers in China, were entered into the analysis. Demographic information, clinical manifestations and outcomes were collected and compared between the two groups. Results: : From December 1, 2018 to November 30, 2020, a total of 3460 patients with ICH were enrolled and eventually analyzed. Results showed that patients with ICH were more likely to be older, have higher systolic blood pressure (BP) (P<0.001), diastolic-BP (P=0.002), higher admission NIHSS score (P=0.039) and higher fasting blood glucose (P=0.003) during COVID-19 pandemic compared with before. After adjusting age, gender, COVID-19 pandemic was associated with 3-month poor outcome (OR = 1.206, 95%CI: 1.043-1.395) and 3-month mortality (OR = 1.711, 95%CI: 1.428-2.050) after ICH onset. Conclusions: : COVID-19 pandemic deteriorated the manifestations and outcomes of ICH.


Subject(s)
Cerebral Hemorrhage , Hypotension , COVID-19
2.
Traditional Medicine Research ; 8(4):1-11, 2023.
Article in English | Academic Search Complete | ID: covidwho-2258975

ABSTRACT

Towards the end of 2019, a novel coronavirus pneumonia (coronavirus disease 19, COVID-19) caused by SARS-CoV-2 infection emerged in Wuhan. The SARS-CoV-2 virus quickly spread across the globe, seriously affecting public health and economic development of countries worldwide. Currently, antiviral drugs developed for COVID-19 lack strong clinical trial support and the high mutation rate of the virus causes difficulties in vaccine development, thus a complex and delayed large scale role out of an efficacious vaccine. Traditional Chinese medicine (TCM) has been used for treating various conditions for thousands of years and has a unique systems theory. It can be individualized into specific therapeutic regimens according to the patients' physical condition, clinical symptoms, and other distinguishing factors. In addition, TCM often has different effects at different disease stages, thus contributing to disease prevention, treatment, and rehabilitation. Existing evidence shows that TCM has efficacy in the treatment of COVID-19. The active ingredients of TCM have various pharmacological properties, including antiviral, anti-inflammatory, and immunomodulatory activity, with clinical trials showing that these prescriptions reduce symptoms of COVID-19, promote viral clearance, and ultimately improve survival in infected patients. This article discusses the advantages and mechanisms of TCM in the treatment of COVID-19, hoping to provide a reference platform in the fight against the disease. [ FROM AUTHOR] Copyright of Traditional Medicine Research is the property of TMR Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

3.
Interaction (Melbourne) ; 50(4):23-26, 2022.
Article in English | Academic Search Complete | ID: covidwho-2167764

ABSTRACT

The article discusses international collaboration, trade, and technological advancements assisting in raising global living standards in Australia. Topics discussed including gradual increased reported cases of racism and xenophobia during the COVID-19 pandemic, 25 percent of teachers in Australia work in schools where 30 percent of the students are from socioeconomically disadvantaged homes, and Australian Curriculum has adopted that all teachers are required to support students.

4.
Bioactive Materials ; 21:531-546, 2023.
Article in English | ScienceDirect | ID: covidwho-2041591

ABSTRACT

Hemophagocytic lymphohistiocytosis (HLH) is a highly fatal condition with the positive feedback loop between continued immune cell activation and cytokine storm as the core mechanism to mediate multiple organ dysfunction. Inspired by macrophage membranes harbor the receptors with special high affinity for proinflammation cytokines, lipopolysaccharide (LPS)-stimulated macrophage membrane-coated nanoparticles (LMNP) were developed to show strong sponge ability to both IFN-γ and IL-6 and suppressed overactivation of macrophages by inhibiting JAK/STAT signaling pathway both in vitro and in vivo. Besides, LMNP also efficiently alleviated HLH-related symptoms including cytopenia, hepatosplenomegaly and hepatorenal dysfunction and save the life of mouse models. Furthermore, its sponge effect also worked well for five human HLH samples in vitro. Altogether, it's firstly demonstrated that biocompatible LMNP could dampen HLH with high potential for clinical transformation, which also provided alternative insights for the treatment of other cytokine storm-mediated pathologic conditions such as COVID-19 infection and cytokine releasing syndrome during CAR-T therapy.

5.
Security and Communication Networks ; 2022, 2022.
Article in English | ProQuest Central | ID: covidwho-1832698

ABSTRACT

Robot Operating System (ROS) has received widespread utilization with the development of robotics, self-driving, etc., recently. Meanwhile, the other technology blockchain is frequently applied to various fields with its trustworthy characteristics and immutability in data storage. However, ROS has no ability to interact with the blockchain, which hinders research in related fields. Therefore, we wonder if we can develop a convenient tool to bridge ROS and blockchain. Inspired by this, we propose ROS-Ethereum. It bridges ROS and Ethereum, a widely used blockchain platform. ROS-Ethereum is based on the User Datagram Protocol (UDP) communication mechanism and the SM algorithm family along with Ethereum technology. Simply put, ROS-Ethereum allows users to invoke the contract when interacting with the blockchain, which makes this process easier and safer. We conduct experiments in real robots to verify the effectiveness of ROS-Ethereum and evaluate it from the following metrics: (1) the encryption efficiency and stability of the algorithm and (2) ROS-Ethereum transaction response time and packet loss rate.

7.
medrxiv; 2022.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2022.03.03.22271828

ABSTRACT

Background Vaccination plays an imperative role in protecting public health and preventing avoidable mortality. Yet, the reasons for vaccine hesitancy are not well understood. This study investigates the factors associated with the acceptability of COVID-19 vaccine in Mozambique. Methods The data came from the three waves of the COVID-19 Knowledge, Attitudes and Practices (KAP) survey which followed a cohort of 1,371 adults in Mozambique over three months (N=3,809). Data collection was through a structured questionnaire using telephone interviewing (CAPI). Multilevel regression analysis was conducted to identify the trajectories of, and the factors associated with COVID-19 vaccine acceptability. Results There was great volatility in COVID-19 vaccine acceptability over time. Institutional trust was consistently and strongly correlated with different measures of vaccine acceptability. There was a greater decline in vaccine acceptability in people with lower institutional trust. The positive correlation between institutional trust and vaccine acceptability was stronger in younger than older adults. Vaccine acceptability also varied by gender and marital status. Conclusions Vaccine acceptability is sensitive to news and information circulated in the public domain. Institutional trust is a central driver of vaccine acceptability and contributes to the resilience of the health system. Our study highlights the importance of health communication and building a trustful relationship between the general public and public institutions in the context of a global pandemic.


Subject(s)
COVID-19
10.
authorea preprints; 2020.
Preprint in English | PREPRINT-AUTHOREA PREPRINTS | ID: ppzbmed-10.22541.au.160684078.83449304.v1

ABSTRACT

P2Y receptors (P2YRs), a δ group of rhodopsin-like G protein-coupled receptors (GPCRs), have many essential functions in physiology and pathology, such as platelet aggregation, immune responses, neuroprotective effects, inflammation, and cellular proliferation; thus, they are among the most researched therapeutic targets for use in the clinical treatment of diseases (e.g., clopidogrel, an antithrombotic drug, and Prolacria, a treatment for dry eye). Over the past two decades, GPCRs have been revealed to transmit signals as dimers to increase the diversity of signalling pathways or pharmacological activities. Many studies have frequently confirmed dimerization between P2YRs and other GPCRs due to their functions in cardiovascular and cerebrovascular processes in vivo and in vitro. Recently, some P2YR dimers that dynamically balance physiological functions in the body were shown to be involved in effective signal transduction and exert pathological pharmacological effects. In this review, we summarize the types, pharmacological changes, and active regulators of P2YR-related dimerization. In summary, our review delineates that P2YR-related dimers have new functions and pharmacological activities and maybe a novel direction to improve the effectiveness of medications such as thrombotic events associated with COVID-19.


Subject(s)
COVID-19 , Cerebrovascular Disorders
11.
researchsquare; 2020.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-81790.v1

ABSTRACT

The aim of our study was to describe the clinical characteristics and outcomes of patients with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia who underwent elective tracheostomies. We investigated all COVID-19 patients who underwent elective tracheostomies in intensive care units (ICUs) of 23 hospitals in Hubei Province, China, from January 8, 2020 to March 25, 2020. Demographic information, clinical characteristics, treatment, details of the tracheostomy procedure, successful weaning after tracheostomy, and living status were collected and analyzed. A total of 80 patients were included. The median duration from endotracheal intubation to tracheostomy was 17.5 [IQR 11.3-27.0] days. Most tracheotomies were performed by ICU physicians (62 (77.5%)) and using percutaneous techniques (63 (78.8%)) at the ICU bedside (76 (95.0%)). At 60 days after intubation, 31 (38.8%) patients experienced successful weaning from the ventilator, 17 (21.2%) patients were discharged from the ICU, and 43 (53.8%) patients had died. Higher 60-day mortality (22 (73.3%) vs 21 (42.0%)) was identified in patients who underwent early tracheostomy. In patients with SARS-CoV-2 pneumonia, tracheostomies were feasible to conduct by ICU physicians at bedside with few major complications. However, tracheostomies within 14 days of endotracheal intubation should be avoided.


Subject(s)
COVID-19 , Severe Acute Respiratory Syndrome
12.
researchsquare; 2020.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-23836.v5

ABSTRACT

Objective: Coronavirus disease 2019 (COVID-19) is currently the most serious infectious disease in the world. An accurate diagnosis of this disease in the clinic is very important. This study aims to improve the differential ability of computed tomography (CT) to diagnose COVID-19 and other community-acquired pneumonias (CAPs) and evaluate the short-term prognosis of these patients. Methods: The clinical and imaging data of 165 COVID-19 and 118 CAP patients diagnosed in seven hospitals in Anhui Province, China from January 21 to February 28, 2020 were retrospectively analysed. The CT manifestations of the two groups were recorded and compared. A correlation analysis was used to examine the relationship between COVID-19 and age, size of lung lesions, number of involved lobes, and CT findings of patients. The factors that were helpful in diagnosing the two groups of patients were identified based on specificity and sensitivity. Results : The typical CT findings of COVID-19 are simple ground-glass opacities (GGO), GGO with consolidation or grid-like changes. The sensitivity and specificity of the combination of age, white blood cell count, and ground-glass opacity in the diagnosis of COVID-19 were 92.7% and 66.1%, respectively. Pulmonary consolidation, fibrous cords, and bronchial wall thickening were used as indicators to exclude COVID-19. The sensitivity and specificity of the combination of these findings were 78.0% and 63.6%, respectively. The follow-up results showed that 67.8% (112/165) of COVID-19 patients had abnormal changes in their lung parameters, and the severity of the pulmonary sequelae of patients over 60 years of age worsened with age. Conclusions : Age, white blood cell count and ground-glass opacity have high accuracy in the early diagnosis of COVID-19 and the differential diagnosis from CAP. Patients aged over 60 years with COVID-19 have a poor prognosis. This result provides certain significant guidance for the diagnosis and treatment of new coronavirus pneumonia.


Subject(s)
Coronavirus Infections , Lung Diseases , Communicable Diseases , COVID-19
13.
Indian J Crit Care Med ; 24(4): 283-284, 2020 Apr.
Article in English | MEDLINE | ID: covidwho-611651

ABSTRACT

How to cite this article: Xiao-Bo H, Poonyathawon S, Semedi BP, Xiao-Yi Z, Wei F, Da-Wei W, et al. International-focused Online Forum: A Good Way to Jointly Manage the COVID-19 Pandemic for Global Critical Care Community. Indian J Crit Care Med 2020;24(4):283-284.

14.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.06.23.20138149

ABSTRACT

Background: With coronavirus disease 2019 (Covid-19) ravaging the global, concern has been aroused whether discharged Covid-19 patients with reappeared positive nucleic acid test results are infected again. Objective: To analyze the clinical characteristics of discharged Covid-19 patients with reappeared positive nucleic acid test results and to track clinical outcomes of them. Methods: We extracted clinical data on 938 Covid-19 patients from Wuhan Union Hospital (West Branch), and we obtained information about residual symptoms and nucleic acid tests after discharge through follow-up study. We evaluated the relationship of clinical characteristics and reappeared positive results. Each patient had at least 44 days of follow-up. Results: Of 938 discharged patients, a total of 58 (6.2%) had reappeared positive nucleic acid test results and 880 remain negative. Among patients over the age of 50, the factors we found to be associated with re-positive results were coronary artery disease (14.1%, vs. 5.5% among those without coronary artery disease; odds ratio, 2.81; 95% confidence interval [CI], 1.28 to 6.15), and hypertension (9.5%, vs. 4.9% among those without hypertension; odds ratio, 2.05; 95% CI, 1.10 to 3.82). As of May 11, 2020, 54 (93.1%) re-positive patients turned negative again while two patients remained positive, and two patients was lost to the second follow-up. Conclusion: Coexisting diseases including coronary artery disease and hypertension were substantial risk factors for re-positive outcomes among patients over 50. And most re-positive patients tended to return negative eventually.


Subject(s)
COVID-19 , Hypertension , Coronary Artery Disease
15.
preprints.org; 2020.
Preprint in English | PREPRINT-PREPRINTS.ORG | ID: ppzbmed-10.20944.preprints202004.0441.v1

ABSTRACT

Background: The Corona Virus Disease 2019 (COVID-19) is spreading globally now. However, the clinical presentation that predict prognosis of the patients are still largely unknow. Methods: We enrolled 393 patients infected with COVID-19 and 30 patients with common pulmonary bulla and reviewed their clinical features to evaluate the potential prognostic value of pulmonary vesicles, especially in the patients with severe symptoms. One COVID-19 patient with vesicles was treated by bullectomy for last resort, and its characteristics of the patient’s perioperative laboratory tests was analyzed. The pathological findings of bullectomy were described and compared with those of common bulla cases. Results: Patients infected with COVID-19 showed more dependence on ventilator, occurrence of super resistant bacteria, and prone to vesicle formation than common bulla (p<0.05). Disease severity is associated with age, sex, and usage of ventilator, ECMO and antibiotics, super resistance bacteria and vesicle formation (p<0.05). The average mortality rate of COVID-19 patients was 4.10% (25.4% in severe patients, 0.00% in mild patients). Interestingly, the mortality rate further increased in severe patients with pulmonary vesicles than those without pulmonary vesicles (35.7% vs 22.4%, p=0.0442). One COVID-19 patient with vesicles underwent bullectomy and had a poor prognosis, who showed diffuse alveolar damage and extensive necrosis in bullectomy specimen. Conclusions: Patients infected with COVID-19 are more prone to form pulmonary vesicles showed on chest CT scans, as an important poor prognosis factor, especially in the severe patients.


Subject(s)
COVID-19 , Virus Diseases , Necrosis , Adenocarcinoma, Bronchiolo-Alveolar
16.
Chinese Journal of Neurology ; (12): E002-E002, 2020.
Article in Chinese | WPRIM (Western Pacific), WPRIM (Western Pacific) | ID: covidwho-59579

ABSTRACT

COVID-19 is caused by the 2019 novel coronavirus, which is characterized by hidden onset, long incubation period, and high contagion. The study found that the COVID-19 not only attacks the respiratory system, but also affects other systems such as the heart, kidney, and digestive tract, and could be combined with multiple system diseases such as acute cerebrovascular disease. If doctors, especially non-infective or respiratory doctors, do not pay great attention to the patient when they are receiving patients, and take good care of them, they may easily cause their own infection. This article summarizes the case of a concealed onset COVID-19 patient with cerebral infarction, which caused a medical staff infection after intravenous thrombolytic therapy, explores its clinical characteristics, treatment process and analyzes its prevention and control links to help the epidemic situation. In the prevention and control, the first-time doctor should pay attention to identification, reduce missed diagnosis, and scientific investigation to reduce occupational infection.

17.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.03.19.20034124

ABSTRACT

BackgroundNotwithstanding the clinical hallmarks of COVID-19 patients were reported, several critical issues still remain mysterious, i.e., prognostic factors for COVID-19 including extrinsic factors as viral load of SARS-CoV-2 and intrinsic factors as individuals health conditions; myocarditis incidence rate and hallmarks. MethodsDemographic, epidemiologic, radiologic and laboratory data were collected by medical record reviews of adult hospitalized patients diagnosed as COVID-19. Cycle threshold (Ct) value data of real-time PCR (RT-PCR) were collected. The time duration was from 21 January to 2 March, 2020. Pulmonary inflammation index (PII) values were used for chest CT findings. Multivariate logistic regression analysis was used to identify independent severity risk factors. RESULTSIn total, 84 hospitalized adult patients diagnosed as COVID-19 were included, including 20 severe and 64 nonsevere cases. The viral load of the severe group was significantly higher than that of the non-severe group, regardless of the Ct values for N or ORF1ab gene of virus (all p<0.05).Typical CT abnormalities was more likely existing in the severe group than in the nonsevere group in patchy shadows or ground glass opacities, consolidation, and interlobular septal thickening (all p<0.05). In addition, the PII values in the severe group was significantly higher than that in the nonsevere group (52.5 [42.5-62.5] vs 20 [5.0-31.6]; p<0.001). Amongst 84 patients, 13 patients (15.48%) were noted with abnormal electrocardiograms (ECGs) and serum myocardial enzyme levels; whereas 4 (4.8%) were clinically diagnosed as SARS-CoV-2 myocarditis. Multivariable logistic regress analysis distinguished three key independent risk factors for the severity of COVID-19, including age [OR 2.350; 95% CI (1.206 to 4.580); p=0.012], Ct value [OR 0.158; 95% CI (0.025 to 0.987); p=0.048] and PII [OR 1.912; 95% CI (1.187 to 3.079); p=0.008]. InterpretationThree key-independent risk factors of COVID-19 were identified, including age, PII, and Ct value. The Ct value is closely correlated with the severity of COVID-19, and may act as a predictor of clinical severity of COVID-19 in the early stage. SARS-CoV-2 myocarditis should be highlighted despite a relatively low incidence rate (4.8%). The oxygen pressure and blood oxygen saturation should not be neglected as closely linked with the altitude of epidemic regions. Research in contextO_ST_ABSEvidence before this studyC_ST_ABSWe searched Pubmed on March 15, 2020 using the terms ("COVID-19" OR "novel coronavirus" OR "2019 novel coronavirus" OR "2019-nCoV" OR "pneumonia" OR "coronavirus"), AND "Myocarditis" OR "Cycle threshold (Ct)" OR "Altitude". We found that one article analyzed the risk factors affecting the prognosis of adult patients with COVID-19 in terms of survivorship, without considering Ct values as extrinsic factors. Moreover, there are no reported studies on viral myocarditis caused by COVID-19 and the relationship between the altitude and COVID-19. Added value of this studyWe retrospectively analyzed the clinical data, Ct values, laboratory indicators and imaging findings of 84 adult patients with confirmed COVID-19. Three key-independent risk factors of COVID-19 were identified in our study, including age [OR 2.350; 95% CI (1.206 to 4.580); p=0.012], Ct value [OR 0.158; 95% CI (0.025 to 0.987); p=0.048] and PII [OR 1.912; 95% CI (1.187 to 3.079); p=0.008]. Amongst 84 patients, 13 patients (15.48%) were noted with abnormal electrocardiograms (ECGs) and serum myocardial enzyme levels; whereas 4 (4.8%) were clinically diagnosed as SARS-CoV-2 myocarditis. Moreover, altitude should be considered for COVID-19 severity classification, given that oxygen partial pressure and blood oxygen saturation of regional patients vary with altitudes. Implications of all the available evidenceThree key-independent risk factors of COVID-19 were identified, including age, PII, and Ct value. The Ct value is closely correlated with the severity of COVID-19, and may act as a predictor of clinical severity of COVID-19 in the early stage. SARS-CoV-2 myocarditis should be highlighted despite a relatively low incidence rate (4.8%). The oxygen pressure and blood oxygen saturation should not be neglected as closely linked with the altitude of epidemic regions.


Subject(s)
Pneumonia , Myocarditis , COVID-19 , Cardiovascular Abnormalities
18.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.03.17.20037515

ABSTRACT

Background Severe cases of coronavirus disease 2019 (COVID-19) rapidly develop acute respiratory distress leading to respiratory failure, with high short-term mortality rates. At present, there is no reliable risk stratification tool for non-severe COVID-19 patients at admission. We aimed to construct an effective model for early identifying cases at high risk of progression to severe COVID-19. Methods SARS-CoV-2 infected patients from one center in Wuhan city and two centers in Guangzhou city, China were included retrospectively. All patients with non-severe COVID-19 during hospitalization were followed for more than 15 days after admission. Patients who deteriorated to severe or critical COVID-19 and patients who kept non-severe state were assigned to the severe and non-severe group, respectively. We compared the demographic, clinical, and laboratory data between severe and non-severe group. Based on baseline data, least absolute shrinkage and selection operator (LASSO) algorithm and logistic regression model were used to construct a nomogram for risk prediction in the train cohort. The predictive accuracy and discriminative ability of nomogram were evaluated by area under the curve (AUC) and calibration curve. Decision curve analysis (DCA) and clinical impact curve analysis (CICA) were conducted to evaluate the clinical applicability of our nomogram. Findings The train cohort consisted of 189 patients, while the two independent validation cohorts consisted of 165 and 18 patients. Among all cases, 72 (19.35%) patients developed severe COVID-19 and 107 (28.76%) patients had one of the following basic disease, including hypertension, diabetes, coronary heart disease, chronic respiratory disease, tuberculosis disease. We found one demographic and six serological indicators (age, serum lactate dehydrogenase, C-reactive protein, the coefficient of variation of red blood cell distribution width (RDW), blood urea nitrogen, albumin, direct bilirubin) are associated with severe COVID-19. Based on these features, we generated the nomogram, which has remarkably high diagnostic accuracy in distinguishing individuals who exacerbated to severe COVID-19 from non-severe COVID-19 (AUC 0.912 [95% CI 0.846-0.978]) in the train cohort with a sensitivity of 85.71 % and specificity of 87.58% ; 0.853 [0.790-0.916] in validation cohort with a sensitivity of 77.5 % and specificity of 78.4%. The calibration curve for probability of severe COVID-19 showed optimal agreement between prediction by nomogram and actual observation. DCA and CICA further indicated that our nomogram conferred significantly high clinical net benefit. Interpretation Our nomogram could help clinicians to early identify patients who will exacerbate to severe COVID-19. And this risk stratification tool will enable better centralized management and early treatment of severe patients, and optimal use of medical resources via patient prioritization and thus significantly reduce mortality rates. The RDW plays an important role in predicting severe COVID-19, implying that the role of RBC in severe disease is underestimated.


Subject(s)
Respiratory Distress Syndrome , Severe Acute Respiratory Syndrome , Diabetes Mellitus , Coronary Disease , Chronic Disease , Hypertension , Tuberculosis , COVID-19 , Respiratory Insufficiency
19.
researchsquare; 2020.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-16485.v2

ABSTRACT

Background In December 2019, Coronavirus Disease 2019 (COVID-19) outbreak was reported from Wuhan, China. Information on the clinical course and prognosis of COVID-19 was not thoroughly described. We described the clinical courses and prognosis in COVID-19 patients. Methods Retrospective case series of COVID-19 patients from Zhongnan Hospital of Wuhan University in Wuhan, and Xi-shui Hospital, Hubei Province, China, up to February 10, 2020. Epidemiological, demographic and clinical data were collected. Clinical course of survivors and non-survivors were compared. Risk factors for death were analyzed. Results A total of 107 discharged patients with COVID-19 were enrolled. The clinical course of COVID-19 presented as a tri-phasic pattern. Week 1 after illness onset was characterized by fever, cough, dyspnea, lymphopenia and radiological multilobar pulmonary infiltrates. In severe cases, thrombocytopenia, acute kidney injury, acute myocardial injury or adult respiratory distress syndrome were observed. During week 2, in mild cases, fever, cough and systemic symptoms began to resolve and platelet count rose to normal range, but lymphopenia persisted. In severe cases, leukocytosis, neutrophilia and deteriorating multi-organ dysfunction were dominant. By week 3, mild cases had clinically resolved except for lymphopenia. However, severe cases showed persistent lymphopenia, severe acute respiratory dyspnea syndrome , refractory shock, anuric acute kidney injury, coagulopathy, thrombocytopenia and death. Older age and male sex were independent risk factors for poor outcome of the illness. Conclusions A period of 7–13 days after illness onset is the critical stage in COVID-19 course. Age and male gender were independent risk factors for death of COVID-19.


Subject(s)
Shock , Respiratory Distress Syndrome , Thrombocytopenia , Dyspnea , Blood Coagulation Disorders , Fever , Cough , Leukocytosis , Death , Acute Kidney Injury , COVID-19 , Cardiomyopathies , Lymphopenia
20.
researchsquare; 2020.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-16250.v1

ABSTRACT

Importance: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections outbreak in China is now a global issue. There is only a limited understanding of the clinical characteristics of patients with SARS-CoV-2 infections is available.Objective:To describe the characteristics, management strategies, and outcomes of critically ill patients with SARS-CoV-2 infection.Design, Setting, and Patients: This is aretrospective, multi-center case series of 50 critically ill patients with confirmed SARS-CoV-2 infection who were admitted at Zhongnan Hospital of Wuhan University and Wuhan Pulmonary Hospital in Wuhan, China, from January 8 to February 9, 2020.Exposures:Documented Corona Virus Disease, 2019 (COVID-19).Main Outcome Measures: Demographic, clinical, laboratory, imaging data were collected along with management strategies, complications and outcomes of enrolled individuals. Results Fifty critically ill patients with SARS-CoV-2 infections were enrolled. Their median age was 62 (range, 29-92) [IQR,49.5-69.0] years, 68% were male, and 28 (56%) patients had comorbidities, the most common being hypertension. In this cohort, 20(40%) patients survived ,16(32%) patients died, and the rest remained hospitalized. The invasive mechanical ventilator was used in 36(72%) patients with 15(30%) of them requiring prone positioning, and 17(34%) switched to ECMO. The compliance scores of lungs (Cstat)on the day of ICU admission among survivors were higher than those in non-survivors [42.0(18.0-47.0), vs. 19.5(14.0-24.2), p=0.038].The blood IL-6 levels and neutrophils counts at the first day of ICU admission were significantly higher in non-survivors compared to survivors [123.7(85.3-228.8), vs. 20.2(6.8-67.2) ng/ml, p=0.025 for IL-6, and 20.2(6.8-67.2) vs. 4.01(1.99-7.05) × 10⁹/L, p=0.02 for neutrophils counts].The heart rates, PaCO2, lung injury scale (LIS), and positive end-expiratory pressure levels were constantly higher for 10 days in non-survivors than those who survived (p<0.05). The frequency of vasopressor uses and neuromuscular blockers was higher in non-survivors from day 1 to day 10 compared to survivors (p<0.05). In the whole cohort, the most common complications were ARDS (97%), shock (44%), arrhythmia (38%), acute cardiac injury (26%), and acute kidney injury (22%). A secondary bacterial infection was noted in 17(34%) patients. Univariate analysis indicated that lower lung complianceand higher neutrophil counts at the day of ICU admission were related to higher mortality (p-0.03, and 0.04, respectively)ConclusionWe demonstrated that SARS-CoV-2 infection-related critical illness predominantly affected old individuals with comorbidities and characterized by severe hypoxemic respiratory failure, often requiring prolonged mechanical ventilation and rescue therapies. Low lung compliance and persistently elevated PaCO2 indicated poor outcomes.


Subject(s)
Coronavirus Infections , Lung Diseases , Shock , Arrhythmias, Cardiac , Critical Illness , Severe Acute Respiratory Syndrome , Bacterial Infections , Virus Diseases , Hypertension , Acute Kidney Injury , COVID-19 , Heart Diseases , Respiratory Insufficiency
SELECTION OF CITATIONS
SEARCH DETAIL