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1.
Disease Surveillance ; 36(9):856-858, 2021.
Article in Chinese | CAB Abstracts | ID: covidwho-1574486

ABSTRACT

In August 2021, a total of 69 infectious diseases were reported globally, affecting 225 countries and regions. Except for influenza, the top five infectious diseases affecting greatest number of countries and regions were COVID-19 (225), dengue fever (27), measles (21), chikungunya fever (10) and cholera (8). The top five infectious diseases with highest case fatality rates were Marburg virus disease (100.0%), Middle East respiratory syndrome (34.4%), plague (23.3%), Lassa fever (20.5%) and yellow fever (16.7%). The top five infectious diseases with greatest number of deaths were COVID-19, malaria, measles, cholera and dengue fever. The prevalent infectious diseases in Asia were COVID-19 and dengue fever, the prevalent infectious diseases in Africa were COVID-19, Ebola virus disease, Marburg virus disease, cholera, plague, yellow fever, Lassa fever, poliomyelitis, malaria and measles, the prevalent infectious diseases in America were COVID-19, dengue fever and chikungunya fever, the prevalent infectious disease in Europe were COVID-19 and West Nile fever.

2.
Front Vet Sci ; 8: 572012, 2021.
Article in English | MEDLINE | ID: covidwho-1574919

ABSTRACT

Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused great harm to global public health, resulting in a large number of infections among the population. However, the epidemiology of coronavirus has not been fully understood, especially the mechanism of aerosol transmission. Many respiratory viruses can spread via contact and droplet transmission, but increasing epidemiological data have shown that viral aerosol is an essential transmission route of coronavirus and influenza virus due to its ability to spread rapidly and high infectiousness. Aerosols have the characteristics of small particle size, long-time suspension and long-distance transmission, and easy access to the deep respiratory tract, leading to a high infection risk and posing a great threat to public health. In this review, the characteristics of viral aerosol generation, transmission, and infection as well as the current advances in the aerosol transmission of zoonotic coronavirus and influenza virus are summarized. The aim of the review is to strengthen the understanding of viral aerosol transmission and provide a scientific basis for the prevention and control of these diseases.

3.
Disease Surveillance ; 36(7):638-640, 2021.
Article in Chinese | CAB Abstracts | ID: covidwho-1436125

ABSTRACT

In June 2021, a total of 67 infectious diseases were reported globally, affecting 225 countries and regions. Except for influenza, the top five infectious diseases affecting greatest number of countries and regions were COVID-19 (225), dengue fever (29), measles (19), poliomyelitis (12) and chikungunya (12). The top five infectious diseases with highest case fatality rates were Ebola virus disease (52.2%), Middle East respiratory syndrome (34.4%), lassa fever (20.0%), plague (11.1%) and meningitis (5.6%). The top five infectious diseases with greatest number of deaths were COVID-19, malaria, measles, dengue fever and cholera. The prevalent infectious diseases in Asia were COVID-19 and dengue fever, the prevalent infectious diseases in Africa were COVID-19, cholera, plague, yellow fever and lassa fever, the prevalent infectious diseases in America were COVID-19, dengue fever and chikungunya, the prevalent infectious disease in Europe was COVID-19.

4.
Disease Surveillance ; 36(6):514-516, 2021.
Article in Chinese | CAB Abstracts | ID: covidwho-1395022

ABSTRACT

In May 2021, a total of 67 infectious diseases were reported globally, affecting 225 countries and regions. Except for influenza, the top five infectious diseases affecting greatest number of countries and regions were corona virus disease 2019 (COVID-19, 225), dengue fever (30), measles (29), poliomyelitis (15) and malaria (9). The top five infectious diseases with highest case fatality rates were Ebola virus disease (52.2%), Middle East respiratory syndrome (34.4%), lassa fever (20.3%), plague (6.0%) and Crimean-Congo hemorrhagic fever (5.3%). The top five infectious diseases with greatest number of deaths were COVID-19, malaria, measles, dengue fever and cholera. The prevalent infectious diseases in Asia were COVID-19 and dengue fever, the prevalent infectious diseases in Africa were COVID-19, Ebola virus disease, plague, cholera, yellow fever, lassa fever and Rift valley fever, the prevalent infectious diseases in America were COVID-19 and dengue fever, the prevalent infectious disease in Europe was COVID-19.

5.
Disease Surveillance ; 36(5):400-402, 2021.
Article in Chinese | CAB Abstracts | ID: covidwho-1352842

ABSTRACT

In April 2021, a total of 66 infectious diseases were reported globally, affecting 225 countries and regions. Except for influenza, the top five infectious diseases affecting greatest number of countries and regions were Corona virus disease 2019 (COVID-19, 225), dengue fever (33), measles (26), poliomyelitis (10) and pneumococcal disease (7). The top five infectious diseases with highest case fatality rates were Ebola virus disease (51.4%), yellow fever (33.3%), lassa fever (20.5%), diphtheria (7.0%) and meningitis (5.4%). The top five infectious diseases with greatest number of deaths were COVID-19, cholera, measles, dengue fever and lassa fever. The prevalent infectious diseases in Asia were COVID-19 and dengue fever, the prevalent infectious diseases in Africa were COVID-19, Ebola virus disease, cholera, yellow fever, lassa fever and Rift valley fever, the prevalent infectious diseases in America were COVID-19 and dengue fever, the prevalent infectious disease in Europe was COVID-19.

6.
Comput Med Imaging Graph ; 92: 101957, 2021 09.
Article in English | MEDLINE | ID: covidwho-1330724

ABSTRACT

Lung cancer is one of the most common and deadly malignant cancers. Accurate lung tumor segmentation from CT is therefore very important for correct diagnosis and treatment planning. The automated lung tumor segmentation is challenging due to the high variance in appearance and shape of the targeting tumors. To overcome the challenge, we present an effective 3D U-Net equipped with ResNet architecture and a two-pathway deep supervision mechanism to increase the network's capacity for learning richer representations of lung tumors from global and local perspectives. Extensive experiments on two real medical datasets: the lung CT dataset from Liaoning Cancer Hospital in China with 220 cases and the public dataset of TCIA with 422 cases. Our experiments demonstrate that our model achieves an average dice score (0.675), sensitivity (0.731) and F1-score (0.682) on the dataset from Liaoning Cancer Hospital, and an average dice score (0.691), sensitivity (0.746) and F1-score (0.724) on the TCIA dataset, respectively. The results demonstrate that the proposed 3D MSDS-UNet outperforms the state-of-the-art segmentation models for segmenting all scales of tumors, especially for small tumors. Moreover, we evaluated our proposed MSDS-UNet on another challenging volumetric medical image segmentation task: COVID-19 lung infection segmentation, which shows consistent improvement in the segmentation performance.


Subject(s)
COVID-19/diagnostic imaging , Imaging, Three-Dimensional , Lung Neoplasms/diagnostic imaging , Pneumonia, Viral/diagnostic imaging , Radiographic Image Interpretation, Computer-Assisted/methods , Supervised Machine Learning , Tomography, X-Ray Computed , China , Humans , Pneumonia, Viral/virology , SARS-CoV-2
7.
Psychiatry Res ; 304: 114115, 2021 10.
Article in English | MEDLINE | ID: covidwho-1313387

ABSTRACT

Psychological concerns caused by the COVID-19 pandemic become a public health crisis. It is noteworthy that the associations between COVID-19 related experiences and typical mental symptoms among pregnant women remain unclear. A cross-sectional online survey among pregnant women was conducted in Shenzhen, China. Multivariable logistic regression models were applied to explore the associations of COVID-19 related experiences with anxiety and depression symptoms during pregnancy. Totally, 751 pregnant women were enrolled. Lower prevalence of anxiety and depression was observed among older individuals: 17.2%, 12.3%, and 6.7% for anxiety symptom; 40.0%, 35.3%, and 24.6% for depression symptom, respectively in age <30 years, 30 to 34 years, and ≥35 years groups. COVID-19 related experiences that associated with the anxiety and depression symptoms among pregnant women included having confirmed or suspected COVID-19 cases around, subjective moderate or high risk of being infected, subjective severe life impact, subjective moderate or severe psychological impact, and spending more than one hour in COVID-19 related news. In the post-pandemic era, the psychological strain imposed by the COVID-19 pandemic is urgently needed to be alleviated among pregnant women. The long-term impacts of COVID-19 related experiences on maternal and child health should be monitored longitudinally.


Subject(s)
COVID-19 , Pandemics , Adult , Anxiety/epidemiology , Child , Cross-Sectional Studies , Depression/epidemiology , Female , Humans , Mental Health , Pregnancy , Pregnant Women , SARS-CoV-2 , Stress, Psychological , Surveys and Questionnaires
8.
Disease Surveillance ; 36(4):300-302, 2021.
Article in Chinese | CAB Abstracts | ID: covidwho-1302608

ABSTRACT

In March 2021, a total of 58 infectious diseases were reported globally, affecting 225 countries and regions. Except for influenza, the top five infectious diseases affecting greatest number of countries and regions were Corona virus disease 2019 (COVID-19)(225), dengue fever (29), measles (23), poliomyelitis (12) and salmonellosis (8). The top five infectious diseases with highest case fatality rates were Ebola virus disease (50.0%), Middle East respiratory syndrome (34.4%), plague (24.3%), Lassa fever (21.3%) and diphtheria (9.7%). The top five infectious diseases with greatest number of deaths were COVID-19, measles, cholera, Lassa fever and dengue fever. The prevalent infectious diseases in Asia were COVID-19 and dengue fever, the prevalent infectious diseases in Africa were COVID-19, Ebola virus disease, plague, cholera, yellow fever, Lassa fever and poliomyelitis, the prevalent infectious diseases in America were COVID-19 and dengue fever, the prevalent infectious disease in Europe was COVID-19.

9.
Disease Surveillance ; 36(3):198-200, 2021.
Article in Chinese | CAB Abstracts | ID: covidwho-1302605

ABSTRACT

In February 2021, a total of 61 infectious diseases were reported globally, affecting 225 countries and regions. Except for influenza, the top five infectious diseases affecting greatest number of countries and regions were Corona virus disease 2019 (COVID-19, 225), dengue fever (32), measles (16), poliomyelitis (14) and cholera (8). The top five infectious diseases with highest case fatality rates were Ebola virus disease (44.0%), Middle East respiratory syndrome (36.3%), Rift valley fever (34.3%), Lassa fever (22.8%) and plague (6.0%). The top five infectious diseases with greatest number of deaths were COVID-19, Lassa fever, plague, Ebola virus disease and cholera. The prevalent infectious diseases in Asia were COVID-19 and dengue fever, the prevalent infectious diseases in Africa were COVID-19, Ebola virus disease, plague, cholera, yellow fever, Lassa fever and poliomyelitis, the prevalent infectious diseases in America were COVID-19 and dengue fever, the prevalent infectious disease in Europe was COVID-19.

10.
Zhongguo Huanjing Kexue = China Environmental Science ; 41(5):2028, 2021.
Article in English | ProQuest Central | ID: covidwho-1257860

ABSTRACT

Based on hourly concentration of PM2.5 and O3 during the epidemic period(January 24, 2020 to May 31, 2020) in Changsha, Zhuzhou and Xiangtan, the diurnal patterns, long-term persistence, multifractality and self-organization evolution dynamics of these two pollutants were studied to reveal the internal dynamic mechanism of the occurrence and evolution of heavy pollution events during the epidemic period. Firstly, the diurnal patterns of PM2.5 and O3 concentrations were investigated. It showed that O3 showed a single peak of high concentration in the daytime and low in the night, while PM2.5 showed a single lowest peak concentration in the day and high in the night, which was different from the pattern in non-epidemic periods. Furthermore, detrended fluctuation analysis(DFA), the multifractal detrended fluctuation analysis(MFDFA) and probability statistical analysis were applied to study the long-term persistence, multi-fractal structure of PM2.5 and O3 series. The results showed that PM2.5 and O3 series had significant long-term persistence characteristics and strong multi-fractal structures for the three cities. Meanwhile, detrended cross-correlation analysis(DCCA) and multifractal detrended cross-correlation analysis(MFDCCA) were conducted to estimate the cross-correlations between PM2.5 and O3 series. Long-term persistence as well as multifractal features at different time scales was also observed in PM2.5-O3 cross-correlations. Next, nonlinear analysis results obtained during epidemic period were compared with those obtained in the same periods of non-epidemic years of 2019 and 2018. Finally, based on the self-organized criticality(SOC) theory, the internal dynamic law of spatial and temporal evolution of PM2.5 and O3 series was discussed. Combined with the typical regional meteorological characteristics, it was found that the intrinsic dynamic mechanism of SOC may be one of the leading mechanisms of heavy air pollution episodes during the COVID-19 lockdown period. During the epidemic period, PM2.5 and O3 concentrations did not evolve independently but remained complex interactions. Under the stable meteorological conditions, the nonlinear coupling effect inside the air combined pollution might reach the dynamic critical state, thus, lead to the risk of heavy air pollution in Greater Changsha Metropolitan Region during the epidemic period.

11.
Disease Surveillance ; 36(2):104-106, 2021.
Article in Chinese | CAB Abstracts | ID: covidwho-1236820

ABSTRACT

In January 2021, a total of 57 infectious diseases were reported globally, affecting 225 countries and regions. Except for influenza, the top five infectious diseases affecting greatest number of countries and regions were coronavirus disease 2019 (COVID-19, 225), dengue fever (27), measles (17), poliomyelitis (10) and chikungunya fever (10). The top five infectious diseases with highest case fatality rates were Rift Valley fever (34.3%), Ebola virus disease (33.3%), Lassa fever (22.2%), yellow fever (10.1%) and West Nile fever (6.8%). The top five infectious diseases with greatest number of deaths were COVID-19, cholera, dengue fever, Lassa fever and Ebola virus disease. The prevalent infectious diseases in Asia were COVID-19 and dengue fever, the prevalent infectious diseases in Africa were COVID-19, Ebola virus disease, cholera, yellow fever, Lassa fever, Rift Valley fever, poliomyelitis and measles, the prevalent infectious diseases in America were COVID-19 and dengue fever, the prevalent infectious disease in Europe was COVID-19.

12.
Disease Surveillance ; 35(11):970-972, 2020.
Article in Chinese | CAB Abstracts | ID: covidwho-1197564

ABSTRACT

In October 2020, a total of 67 infectious diseases were reported globally, affecting 220 countries and regions. Except for influenza, the top five infectious diseases affecting greatest number of countries and regions were COVID-19 (219), dengue fever (35), poliomyelitis (14), measles (11) and chikungunya fever (10). The top five infectious diseases with highest case fatality rates were Ebola virus disease (42.3%), Rift Valley fever (33.3%), Lassa fever (20.6%), plague (13.7%) and West Nile fever (11.1%). The top five infectious diseases with greatest number of deaths were COVID-19, dengue fever, cholera, measles and West Nile fever. The prevalent infectious diseases were COVID-19 and dengue fever in Asia, COVID-19, Ebola virus disease, cholera, plague, Rift Valley fever, Lassa fever and measles in Africa, COVID-19 and dengue fever in America, and COVID-19 and West Nile fever in Europe.

13.
Disease Surveillance ; 36(1):4-6, 2021.
Article in Chinese | CAB Abstracts | ID: covidwho-1190525

ABSTRACT

In December 2020, a total of 61 infectious diseases were reported globally, affecting 223 countries and regions. Except for influenza, the top five infectious diseases affecting greatest number of countries and regions were coronavirus disease 2019 (COVID-19, 223), dengue fever (32), measles (22), poliomyelitis (15) and chikungunya fever (11). The top five infectious diseases with highest case fatality rates were Middle East respiratory syndrome (36.3%), Lassa fever (20.6%), yellow fever (11.7%), plague (7.2%) and West Nile fever (6.1%). The top five infectious diseases with greatest number of deaths were COVID-19, dengue fever, cholera, yellow fever and Lassa fever. The prevalent infectious diseases in Asia were COVID-19 and dengue fever, the prevalent infectious diseases in Africa were COVID-19, plague, cholera, yellow fever and Lassa fever, the prevalent infectious diseases in America were COVID-19 and dengue fever, the prevalent infectious disease in Europe was COVID-19.

14.
Disease Surveillance ; 35(12):1062-1064, 2020.
Article in Chinese | CAB Abstracts | ID: covidwho-1190517

ABSTRACT

In November 2020, a total of 61 infectious diseases were reported globally, affecting 223 countries and regions. Except for influenza, the top five infectious diseases affecting greatest number of countries and regions were COVID-19 (223), dengue fever (30), measles (13), zika virus disease (11) and poliomyelitis (11). The top five infectious diseases with highest case fatality rates were Ebola virus disease (42.3%), yellow fever (41.0%), Rift Valley fever (33.3%), Lassa fever (20.7%) and West Nile fever (11.1%). The top five infectious diseases with greatest number of deaths were COVID-19, yellow fever, dengue fever, cholera and Lassa fever. The prevalent infectious diseases were COVID-19 and dengue fever in Asia, COVID-19, Ebola virus disease, cholera, yellow fever, Rift Valley fever and Lassa fever in Africa, COVID-19 and dengue fever in America, COVID-19 and West Nile fever in Europe.

15.
Front Med (Lausanne) ; 8: 634949, 2021.
Article in English | MEDLINE | ID: covidwho-1120248

ABSTRACT

Background: The impact of delivery mode on the infection rates of Coronavirus disease 2019 (COVID-19) in the newborn remains unknown. We aimed to summarize the existing literature on COVID-19 infection during pregnancy to evaluate which mode of delivery is better for preventing possible vertical transmission from a pregnant mother confirmed with COVID-19 to a neonate. Methods: We performed a comprehensive literature search of PubMed, Embase, Cochrane Library, Web of Science, Google Scholar, and the Chinese Biomedical Literature database (CBM) from 31 December 2019 to 18 June 2020. We applied no language restrictions. We screened abstracts for relevance, extracted data, and assessed the risk of bias in duplicate. We rated the certainty of evidence using the GRADE approach. The primary outcome was severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test positivity in neonates born to mothers with confirmed COVID-19 following different delivery modes. Secondary outcomes were neonatal deaths and maternal deaths. This study is registered with PROSPERO, CRD42020194049. Results: Sixty-eight observational studies meeting inclusion criteria were included in the current study, with no randomized controlled trials. In total, information on the mode of delivery, detailed neonatal outcomes, and SARS-CoV-2 status were available for 1,019 pregnant women and 1,035 neonates. Six hundred and eighteen (59.71%) neonates were born through cesarean section and 417(40.29%) through vaginal delivery. Probable congenital SARS-CoV-2 infections were reported in 34/1,035 (3.29%) neonates. Of babies born vaginally, 9/417 (2.16%) were tested positive compared with 25/618 (4.05%) born by cesarean. Of babies born vaginally, 0/417 (0.00%) neonatal deaths were reported compared with 6/618 (0.97%) born by cesarean. Of women who delivered vaginally, 1/416 (0.24%) maternal deaths were reported compared with 11/603 (1.82%) delivered by cesarean. Two women died before delivery. Sensitivity analyses and subgroup analyses showed similar findings. Conclusions: The rate of neonatal COVID-19 infection, neonatal deaths, and maternal deaths are no greater when the mother gave birth through vaginal delivery. Based on the evidence available, there is no sufficient evidence supporting that the cesarean section is better than vaginal delivery in preventing possible vertical transmission from a pregnant mother confirmed with COVID-19 to a neonate. The mode of birth should be individualized and based on disease severity and obstetric indications. Additional good-quality studies with comprehensive serial tests from multiple specimens are urgently needed. Study registration: PROSPERO CRD42020194049.

16.
PLoS One ; 16(3): e0247660, 2021.
Article in English | MEDLINE | ID: covidwho-1119473

ABSTRACT

Ever since the outbreak of the COVID-19 epidemic, various public health control strategies have been proposed and tested against the coronavirus SARS-CoV-2. We study three specific COVID-19 epidemic control models: the susceptible, exposed, infectious, recovered (SEIR) model with vaccination control; the SEIR model with shield immunity control; and the susceptible, un-quarantined infected, quarantined infected, confirmed infected (SUQC) model with quarantine control. We express the control requirement in metric temporal logic (MTL) formulas (a type of formal specification languages) which can specify the expected control outcomes such as "the deaths from the infection should never exceed one thousand per day within the next three months" or "the population immune from the disease should eventually exceed 200 thousand within the next 100 to 120 days". We then develop methods for synthesizing control strategies with MTL specifications. To the best of our knowledge, this is the first paper to systematically synthesize control strategies based on the COVID-19 epidemic models with formal specifications. We provide simulation results in three different case studies: vaccination control for the COVID-19 epidemic with model parameters estimated from data in Lombardy, Italy; shield immunity control for the COVID-19 epidemic with model parameters estimated from data in Lombardy, Italy; and quarantine control for the COVID-19 epidemic with model parameters estimated from data in Wuhan, China. The results show that the proposed synthesis approach can generate control inputs such that the time-varying numbers of individuals in each category (e.g., infectious, immune) satisfy the MTL specifications. The results also show that early intervention is essential in mitigating the spread of COVID-19, and more control effort is needed for more stringent MTL specifications. For example, based on the model in Lombardy, Italy, achieving less than 100 deaths per day and 10000 total deaths within 100 days requires 441.7% more vaccination control effort than achieving less than 1000 deaths per day and 50000 total deaths within 100 days.


Subject(s)
COVID-19/prevention & control , Quarantine , Vaccination , Algorithms , COVID-19/epidemiology , COVID-19/immunology , China/epidemiology , Computer Simulation , Humans , Immunity , Italy/epidemiology , Models, Biological , SARS-CoV-2/immunology , SARS-CoV-2/isolation & purification
17.
International Journal of Clinical Pharmacology and Therapeutics ; 59(3):175, 2021.
Article in English | ProQuest Central | ID: covidwho-1103059
18.
Nat Med ; 27(1): 86-93, 2021 01.
Article in English | MEDLINE | ID: covidwho-1065912

ABSTRACT

The effectiveness of control measures to contain coronavirus disease 2019 (COVID-19) in Wanzhou, China was assessed. Epidemiological data were analyzed for 183 confirmed COVID-19 cases and their close contacts from five generations of transmission of severe acute respiratory syndrome coronavirus 2 throughout the entire COVID-19 outbreak in Wanzhou. Approximately 67.2% and 32.8% of cases were symptomatic and asymptomatic, respectively. Asymptomatic and presymptomatic transmission accounted for 75.9% of the total recorded transmission. The reproductive number was 1.64 (95% confidence interval: 1.16-2.40) for G1-to-G2 transmission, decreasing to 0.31-0.39 in later generations, concomitant with implementation of rigorous control measures. Substantially higher infection risk was associated with contact within 5 d after the infectors had been infected, frequent contact and ≥8 h of contact duration. The spread of COVID-19 was effectively controlled in Wanzhou by breaking the transmission chain through social distancing, extensive contact tracing, mass testing and strict quarantine of close contacts.


Subject(s)
COVID-19/epidemiology , COVID-19/prevention & control , Communicable Disease Control , Adult , Basic Reproduction Number , COVID-19/transmission , Carrier State , Child , China/epidemiology , Contact Tracing , Female , Humans , Male , Middle Aged , SARS-CoV-2/physiology
19.
Chin Med J (Engl) ; 133(12): 1390-1396, 2020 Jun 20.
Article in English | MEDLINE | ID: covidwho-1050186

ABSTRACT

BACKGROUND: Critical patients with the coronavirus disease 2019 (COVID-19), even those whose nucleic acid test results had turned negative and those receiving maximal medical support, have been noted to progress to irreversible fatal respiratory failure. Lung transplantation (LT) as the sole therapy for end-stage pulmonary fibrosis related to acute respiratory distress syndrome has been considered as the ultimate rescue therapy for these patients. METHODS: From February 10 to March 10, 2020, three male patients were urgently assessed and listed for transplantation. After conducting a full ethical review and after obtaining assent from the family of the patients, we performed three LT procedures for COVID-19 patients with illness durations of more than one month and extremely high sequential organ failure assessment scores. RESULTS: Two of the three recipients survived post-LT and started participating in a rehabilitation program. Pearls of the LT team collaboration and perioperative logistics were summarized and continually improved. The pathological results of the explanted lungs were concordant with the critical clinical manifestation, and provided insight towards better understanding of the disease. Government health affair systems, virology detection tools, and modern communication technology all play key roles towards the survival of the patients and their rehabilitation. CONCLUSIONS: LT can be performed in end-stage patients with respiratory failure due to COVID-19-related pulmonary fibrosis. If confirmed positive-turned-negative virology status without organ dysfunction that could contraindicate LT, LT provided the final option for these patients to avoid certain death, with proper protection of transplant surgeons and medical staffs. By ensuring instant seamless care for both patients and medical teams, the goal of reducing the mortality rate and salvaging the lives of patients with COVID-19 can be attained.


Subject(s)
Betacoronavirus , Coronavirus Infections/complications , Lung Transplantation/methods , Pneumonia, Viral/complications , Pulmonary Fibrosis/surgery , Respiratory Distress Syndrome/surgery , Aged , COVID-19 , Coronavirus Infections/mortality , Extracorporeal Membrane Oxygenation , Humans , Male , Middle Aged , Pandemics , Pneumonia, Viral/mortality , Pulmonary Fibrosis/mortality , Respiratory Distress Syndrome/mortality , SARS-CoV-2
20.
J Thorac Cardiovasc Surg ; 2020 Dec 01.
Article in English | MEDLINE | ID: covidwho-1036418

ABSTRACT

OBJECTIVES: The study objectives were to illustrate our workflow for lung donation and transplantation during the Coronavirus Disease 2019 crisis and to report our preliminary experience with perioperative care. METHODS: We retrospectively analyzed data in the China Lung Transplantation Registration from January 23, 2020, to March 23, 2020 (2020 cohort), compared with the same period in 2019 (2019 cohort). Pre- and post-lung transplantation management strategies, including measures aiming to prevent severe acute respiratory syndrome coronavirus 2 infection, were applied to all recipients, including 5 post-Coronavirus Disease 2019 transplants during the Coronavirus Disease 2019 pandemic period in China. RESULTS: Twenty-eight lung transplant procedures were performed, including lung transplant for 5 patients with acute respiratory distress syndrome due to Coronavirus Disease 2019-related pulmonary fibrosis. Compared with the 2019 cohort, more patients with urgent conditions received transplantation in 2020, with a shorter pre-lung transplant admission time and early mobilization post-lung transplant. A large proportion (60%) of lung donations were transported on high-speed trains and commercial flights or highways and commercial flights. Grafts in the preservation containers were handed over to the receiving staff at the airport for 40% (10/25) of donations, which reduced the unnecessary quarantine of transporting staff entering the city. Listed candidates were urgently transferred to other qualified centers in 17.9% of cases (5/28), which reduced the risk of severe acute respiratory syndrome coronavirus 2 exposure in Coronavirus Disease 2019-designated hospitals. The 90-day survival of the transplant recipients in 2020 was 85.7%, including 3 of 5 recipients (60%) who had critically severe Coronavirus Disease 2019. CONCLUSIONS: Lung transplant and donation amid Coronavirus Disease 2019 can be performed safely with coordinated efforts on medical resource sharing and medical staff protection based on stratification of the infection risk. Outcomes were not compromised during the Coronavirus Disease 2019 outbreak. Lung transplantion can be regarded as salvage therapy for critical patients with Coronavirus Disease 2019 with a confirmed positive turned negative virology status.

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