Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 78
Filter
1.
J Mol Diagn ; 2022 May 04.
Article in English | MEDLINE | ID: covidwho-1819546

ABSTRACT

As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to circulate, multiple variants of concern have emerged. New variants pose challenges for diagnostic platforms because sequence diversity can alter primer/probe-binding sites (PBSs), causing false-negative results. The Agena MassARRAY SARS-CoV-2 Panel (Agena Bioscience) uses RT-PCR and mass spectrometry to detect five multiplex targets across N and ORF1ab genes. Herein, we use a data set of 256 SARS-CoV-2-positive specimens collected between April 11, 2021, and August 28, 2021, to evaluate target performance with paired sequencing data. During this time frame, two targets in the N gene (N2 and N3) were subject to the greatest sequence diversity. In specimens with N3 dropout, 69% harbored the Alpha-specific A28095U polymorphism that introduces a 3'-mismatch to the N3 forward PBS and increases risk of target dropout relative to specimens with 28095A (relative risk, 20.02; 95% CI, 11.36 to 35.72; P < 0.0001). Furthermore, among specimens with N2 dropout, 90% harbored the Delta-specific G28916U polymorphism that creates a 3'-mismatch to the N2 probe PBS and increases target dropout risk (relative risk, 11.92; 95% CI, 8.17 to 14.06; P < 0.0001). These findings highlight the robust capability of Agena MassARRAY SARS-CoV-2 Panel target results to reveal circulating virus diversity, and they underscore the power of multitarget design to capture variants of concern.

2.
J Nurs Manag ; 2022 Apr 10.
Article in English | MEDLINE | ID: covidwho-1784703

ABSTRACT

AIMS: The aim of this study is to investigate the situation and perceptions of nursing directors about emergency nursing staff deployment in designated hospitals during the pandemic of COVID-19 in mainland China. BACKGROUND: The pandemic of COVID-19 has significantly depleted health care resources, leading to increased burden of nursing care and staffing and exacerbating the crisis in health care facilities. Currently, how to effectively plan and schedule nursing staffing in the pandemic still remains unknown. METHODS: From 14 July 2020 to 8 September 2020, 62 nursing directors of designated hospitals in mainland China were invited to participate in a cross-sectional online survey for their perceptions of nursing human-resource allocation during the pandemic of COVID-19. RESULTS: A total of 55 valid questionnaires were collected, showing that 96.36% of the hospitals had emergency nursing organizations and management systems during the pandemic, 96.36% had well-established scheduling principles for nursing human resources and 54.55% of hospitals had human-resource scheduling platforms. All the hospitals had trained emergency nursing staff in infection control (55, 100%), work process (51, 92.73%) and emergency skills (50, 90.91%). Most of the participants were satisfied with the nursing staffing deployments at their institutions (52, 94.55%). However, more than two thirds of them believed that their human-resource deployment plans need further improvements (39, 70.91%). CONCLUSIONS: Most of the designated hospitals investigated had established emergency nursing organizations, and management systems, and related regulations for the epidemic. However, the contents mentioned above still need to be further standardized. IMPLICATIONS FOR NURSING MANAGEMENT: The surge of patients in the epidemic was considerable challenge for the emergency capacity of hospitals. In the future, we should pay more attention to the following aspects: building emergency nursing staffing platforms, increasing emergency human-resource reserves, establishing reliable communication channels for emergency response teams, improving the rules and regulations of emergency human-resource management, offering more training and drills for emergency-related knowledge and skills and giving more focus on bio-psycho-social wellbeing of nurses.

3.
Curr Med Imaging ; 2022 Mar 29.
Article in English | MEDLINE | ID: covidwho-1770871

ABSTRACT

PURPOSE: The most commen publications are related about COVID-19 diagnose in hematological malignancy patients, However, here we report a case involving a patient who was diagnosed with B-cell lymphoma while undergoing treatment for COVID-19, including the changes in major clinical symptoms and medical examinations, then explain of the probable causes of the case. CASE PRESENTATION: A 74-year-old woman with a previous history of oesophageal cancer was admitted to the hospital after having cough and sputum for 15 days. Despite the COVID-19 symptoms, this patient did not have fever at time of the onset. Results of routine blood tests were normal at first but then declined with persistent fever, A whole-body CT examination ruled out the possibility of tumor-metastasis-related fever. This patient had no hepatosplenomegaly or regional lymphadenopathy, and there was no concrete evidence of haemophagocytic lymphohistiocytosis or lymphoma until bone marrow biopsy results confirmed the latter. CONCLUSION: We describe an uncommen case of COVID-19 who was finally diagnosed with B-cell lymphoma. An awareness of persistent fever and declined routine blood tests caused by haematological malignancies instead of COVID-19 itself can aid in providing appropriate guidelines for management and treatment.

4.
Cell ; 185(10): 1728-1744.e16, 2022 May 12.
Article in English | MEDLINE | ID: covidwho-1767964

ABSTRACT

As the emerging variants of SARS-CoV-2 continue to drive the worldwide pandemic, there is a constant demand for vaccines that offer more effective and broad-spectrum protection. Here, we report a circular RNA (circRNA) vaccine that elicited potent neutralizing antibodies and T cell responses by expressing the trimeric RBD of the spike protein, providing robust protection against SARS-CoV-2 in both mice and rhesus macaques. Notably, the circRNA vaccine enabled higher and more durable antigen production than the 1mΨ-modified mRNA vaccine and elicited a higher proportion of neutralizing antibodies and distinct Th1-skewed immune responses. Importantly, we found that the circRNARBD-Omicron vaccine induced effective neutralizing antibodies against the Omicron but not the Delta variant. In contrast, the circRNARBD-Delta vaccine protected against both Delta and Omicron or functioned as a booster after two doses of either native- or Delta-specific vaccination, making it a favorable choice against the current variants of concern (VOCs) of SARS-CoV-2.


Subject(s)
COVID-19 , SARS-CoV-2 , Animals , Antibodies, Neutralizing , Antibodies, Viral , COVID-19/prevention & control , COVID-19 Vaccines , Humans , Macaca mulatta , Mice , RNA, Circular/genetics , SARS-CoV-2/genetics , Vaccines, Synthetic/genetics
5.
Int J Mol Sci ; 23(6)2022 Mar 17.
Article in English | MEDLINE | ID: covidwho-1760649

ABSTRACT

For tiling of the SARS-CoV-2 genome, the ARTIC Network provided a V4 protocol using 99 pairs of primers for amplicon production and is currently the widely used amplicon-based approach. However, this technique has regions of low sequence coverage and is labour-, time-, and cost-intensive. Moreover, it requires 14 pairs of primers in two separate PCRs to obtain spike gene sequences. To overcome these disadvantages, we proposed a single PCR to efficiently detect spike gene mutations. We proposed a bioinformatic protocol that can process FASTQ reads into spike gene consensus sequences to accurately call spike protein variants from sequenced samples or to fairly express the cases of missing amplicons. We evaluated the in silico detection rate of primer sets that yield amplicon sizes of 400, 1200, and 2500 bp for spike gene sequencing of SARS-CoV-2 to be 59.49, 76.19, and 92.20%, respectively. The in silico detection rate of our proposed single PCR primers was 97.07%. We demonstrated the robustness of our analytical protocol against 3000 Oxford Nanopore sequencing runs of distinct datasets, thus ensuring high-integrity sequencing of spike genes for variant SARS-CoV-2 determination. Our protocol works well with the data yielded from versatile primer designs, making it easy to determine spike protein variants.


Subject(s)
COVID-19/virology , SARS-CoV-2/genetics , Spike Glycoprotein, Coronavirus/genetics , Computational Biology , Genome, Viral , Genomics/methods , Humans , Mutation , Mutation Rate , Phylogeny , SARS-CoV-2/classification , Sequence Analysis, DNA
6.
J Med Virol ; 94(7): 2911-2914, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1756616

ABSTRACT

The coronavirus disease-2019 (COVID-19) pandemic is still challenging public health systems worldwide, particularly with the emergence of novel SARS-CoV-2 variants with mutations that increase their transmissibility and immune escape. This is the case of the variant of concern Omicron that rapidly spread globally. Here, using epidemiological and genomic data we compared the situations in South Africa as the epicenter of emergence, United Kingdom, and with particular interest New York City. This rapid global dispersal from the place of first report reemphasizes the high transmissibility of Omicron, which needed only two weeks to become dominant in the United Kingdom and New York City. Our analyses suggest that as SARS-CoV-2 continues to evolve, global authorities must prioritize equity in vaccine access and continued genomic surveillance. Future studies are still needed to fully unveil the biological properties of Omicron, but what is certain is that vaccination, large-scale testing, and infection prevention efforts are the greatest arsenal against the COVID-19 pandemic.


Subject(s)
COVID-19 , SARS-CoV-2 , COVID-19/epidemiology , Humans , New York City/epidemiology , Pandemics , SARS-CoV-2/genetics
7.
EuropePMC; 2022.
Preprint in English | EuropePMC | ID: ppcovidwho-330390

ABSTRACT

Purpose: To investigate the impact of COVID-19 on the treatment of children with congenital diaphragmatic hernia (CDH). Methods: We retrospectively collected and compared the data of patients with CDH admitted between January 1, 2020 and December 31, 2021 with the CDH patients admitted before the pandemic between January 1, 2018 and December 31, 2019 (control group). Results: During the pandemic, 41 patients with CDH diagnosed prenatally were transferred to our hospital, and 40 underwent surgical repair. The number of patients treated in our hospital increased by 24.2% compared with that before the pandemic. During the pandemic, the overall survival rate, postoperative survival rate and recurrence rate were 85.4%, 87.5% and 7.3%, respectively, and there were no significant differences compared with the control group. The average length of hospital stay in patients admitted during the pandemic was longer than that in the control group, and the incidence of nosocomial infection was higher than that in the control group. Conclusions: CDH patients confirmed to be SARS-CoV-2 infection-free can receive routine treatment. Our data indicate that the implementation of protective measures during the COVID-19 pandemic, along with appropriate screening and case evaluation, do not have a negative impact on the prognosis of children.

8.
EuropePMC; 2022.
Preprint in English | EuropePMC | ID: ppcovidwho-329931

ABSTRACT

Background: Home isolation is a generally effective strategy for coronavirus disease control during lockdown periods. This study is to determine the potential adverse consequences of home isolation to mental health among school-aged youth after lifting of major lockdown measures in central China. Methods: : This cohort study assessed the mental health of school-aged children and adolescents enrolled in Wuhan city and nearby areas in Hubei province, China, from July 1 to August 31, 2020. Post-lockdown responses to anxiety, depression, sleep disturbances and post-traumatic stress symptoms were assessed in online questionnaire-based surveys. Participants’ scores for the Zung self-rated anxiety scale, the Patient Health Questionnaire-9, the self-rating scale of sleep and the post-traumatic stress disorder self-rating scale (PTSS) were analyzed. Results: : Questionnaire responses of 730 school children were collected. Among the participants, 6.25% of them had scores above thresholds for PTSS, 5.81% had anxiety, and 48.84% had depression. All subjects reported that they experienced sleep disturbances. Subjects who had anxiety might have a high risk for developing depression [OR: 16.07, p =0.008, 95%CI (2.08-123.94)] and PTSS [OR: 12.97, p <0.001, 95%CI (5.41-31.11)]. Both depression [OR: 17.35, p =0.006, 95%CI (2.28-131.87)] and PTSS [OR: 14.18, p <0.001, 95%CI (6.00-33.47)] were risk factors for developing anxiety among participants. Interestingly, higher educational levels of primary caregivers were a risk factor for developing depression [OR: 1.62, p =0.005, 95%CI (1.16-2.28)] in the participants, but a protective factor against PTSS [OR: 0.47, p =0.048, 95%CI (0.23-0.99)]. Conclusions: : The local youth had less than expected degree of increases in their self-reported PTSS and anxiety, after exiting lockdown-related isolation. As a result of a combination of compensatory mechanisms including internet-based home-schooling and increased intra-familial interactions, home isolation did not affect the mental health of local school-aged youth to an extent as great as expected. Trial registration: The Registration number of this trial is ChiCTR2000033054.

9.
J Med Virol ; 94(4): 1606-1616, 2022 04.
Article in English | MEDLINE | ID: covidwho-1718406

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic has sparked the rapid development of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) diagnostics. However, emerging variants pose the risk for target dropout and false-negative results secondary to primer/probe binding site (PBS) mismatches. The Agena MassARRAY® SARS-CoV-2 Panel combines reverse-transcription polymerase chain reaction and matrix-assisted laser desorption/ionization time-of-flight mass-spectrometry to probe for five targets across N and ORF1ab genes, which provides a robust platform to accommodate PBS mismatches in divergent viruses. Herein, we utilize a deidentified data set of 1262 SARS-CoV-2-positive specimens from Mount Sinai Health System (New York City) from December 2020 to April 2021 to evaluate target results and corresponding sequencing data. Overall, the level of PBS mismatches was greater in specimens with target dropout. Of specimens with N3 target dropout, 57% harbored an A28095T substitution that is highly specific for the Alpha (B.1.1.7) variant of concern. These data highlight the benefit of redundancy in target design and the potential for target performance to illuminate the dynamics of circulating SARS-CoV-2 variants.


Subject(s)
COVID-19 Nucleic Acid Testing/methods , Reverse Transcriptase Polymerase Chain Reaction , SARS-CoV-2/isolation & purification , Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization , COVID-19/epidemiology , COVID-19/virology , Coronavirus Nucleocapsid Proteins/genetics , Genetic Variation , Genome, Viral/genetics , Humans , New York City/epidemiology , Phosphoproteins/genetics , Polyproteins/genetics , RNA, Viral/genetics , SARS-CoV-2/genetics , Viral Proteins/genetics
10.
J Med Virol ; 94(6): 2471-2478, 2022 06.
Article in English | MEDLINE | ID: covidwho-1694693

ABSTRACT

Saliva is a promising specimen for the detection of viruses that cause upper respiratory infections including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) due to its cost-effectiveness and noninvasive collection. However, together with intrinsic enzymes and oral microbiota, children's unique dietary habits may introduce substances that interfere with diagnostic testing. To determine whether children's dietary choices impact SARS-CoV-2 molecular detection in saliva, we performed a diagnostic study that simulates testing of real-life specimens provided from healthy children (n = 5) who self-collected saliva at home before and at 0, 20, and 60 min after eating 20 foods they selected. Each of 72 specimens was split into two volumes and spiked with SARS-CoV-2-negative or SARS-CoV-2-positive clinical standards before side-by-side testing by reverse-transcription polymerase chain reaction matrix-assisted laser desorption ionization time-of-flight (RT-PCR/MALDI-TOF) assay. Detection of internal extraction control and SARS-CoV-2 nucleic acids was reduced in replicates of saliva collected at 0 min after eating 11 of 20 foods. Interference resolved at 20 and 60 min after eating all foods except hot dogs in one participant. This represented a significant improvement in the detection of nucleic acids compared to saliva collected at 0 min after eating (p = 0.0005). We demonstrate successful detection of viral nucleic acids in saliva self-collected by children before and after eating a variety of foods. Fasting is not required before saliva collection for SARS-CoV-2 testing by RT-PCR/MALDI-TOF, but waiting for 20 min after eating is sufficient for accurate testing. These findings should be considered for SARS-CoV-2 testing and broader viral diagnostics in saliva specimens.


Subject(s)
COVID-19 , Nucleic Acids , COVID-19/diagnosis , COVID-19 Testing , Humans , Nasopharynx , RNA, Viral/analysis , RNA, Viral/genetics , SARS-CoV-2/genetics , Saliva , Specimen Handling
11.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-325284

ABSTRACT

Background: The phenomenon of COVID-19 patients tested positive for SARS-CoV-2 after discharge (redetectable as positive, RP) emerged globally. The data of incidence rate and risk factors for RP event and the clinical features of RP patients may provide recommendations for virus containment and discharge assessment for COVID-19. Methods: The baseline included 285 adult inpatients (≥18 years old) with laboratory-confirmed COVID-19 from Guangzhou Eighth People's Hospital. We started the Observation on Jan 20, 2020, and acquired all their definite clinical outcome (becoming RP or keeping normal during post-discharge surveillance) by Mar 10, 2020. The dynamic clinical data of patients during observation were prospectively collected and analyzed. Univariate and multivariate-adjusted logistic regression were used to explore the risk factors related to RP events in COVID-19 patients. Results: By March 10, 27 (9.5%) discharged patients had tested positive for SARS-CoV-2 in their nasopharyngeal swab after a median duration of 7·0 days (IQR 5·0-8·0). Age, sex, epidemiological history, clinical symptoms and underlying diseases were similar between RP and non-RP patients (p>0.05). Compared to first admission, RP patients generally had milder clinical symptoms, lower viral load, shorter length of stay and improved pulmonary conditions at readmission (p<0.05). Elder RP patients (≥ 60 years old) were more likely to be symptomatic compared to younger patients (7/8, 87.5% vs. 3/19, 18.8%, p=0.001) at readmission. A prolonged duration of viral shedding (>10 days) during the first hospitalization [adjusted odds ratio [aOR]: 5.82, 95% confidence interval [CI]: 2.50-13.57 for N gene;aOR: 9.64, 95% CI: 3.91-23.73 for ORF gene] and higher Ct value (ORF) in the third week of the first hospitalization (aOR: 0.69;95% CI: 0.50-0.95) were associated with RP events. Conclusions: RP events occurred in nearly 10% of COVID-19 patients which deserves globally attention. During hospitalization, patients’ low efficiency of viral clearance was a risk factor for RP event. Elderly RP patients were more likely to develop clinical symptoms. To reduce the possibility of reinfection and readmission during the management of COVID-19, more rigorously monitoring on patients’ viral load should be carried out especially in elder patients and later stage of hospitalization.

12.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-324282

ABSTRACT

An in-depth understanding of the spatiotemporal dynamic characteristics of infectious diseases could be helpful for epidemic prevention and control. Based on the novel coronavirus pneumonia (NCP) data published on official websites, GIS spatial statistics and Pearson correlation methods were used to analyze the spatial autocorrelation and influencing factors of the 2019 NCP epidemic from January 30, 2020 to February 18, 2020. The following results were obtained. (1) During the study period, Hubei Province was the only significant cluster area and hotspot of cumulative confirmed cases of NCP infection at the provincial level in China. (2) The NCP epidemic in China had a very significant global spatial autocorrelation at the prefecture-city level, and Wuhan was the significant hotspot and cluster city for cumulative confirmed NCP cases in the whole country. (3) The cumulative confirmed NCP cases had a very significant global spatial autocorrelation at the county level in Hubei Province, and the county-level districts under the jurisdiction of Wuhan and neighboring Huangzhou district in Huanggang City were the significant hotspots and spatial clusters of cumulative confirmed NCP cases. (4) Based on Pearson correlation analysis, the number of cumulative confirmed NCP cases in Hubei Province had very significant and positive correlations (p<0.01) at the prefecture-city and the county levels with four population indexes (registered population, resident population, regional GDP and total retail sales of consumer goods) during the study period. (5) The number of the cumulative confirmed NCP cases in Hubei Province also had a very significant and positive correlation (p<0.01) on the prefecture-city scale with the Baidu migration index and population density but not with land area, whereas that in Hubei Province had a significant and positive correlation (p<0.05) at the county level with land area but not with population density from January 30, 2020, to February 18, 2020. It was found that the NCP epidemic in Hubei Province had distinctive characteristics of a significant centralized outbreak, significant spatial autocorrelation and complex influencing factors and that the spatial scale had a significant effect on the global spatial autocorrelation of the NCP epidemic. The findings help to deepen the understanding of spatial distribution patterns and transmission trends of the NCP epidemic and may also benefit scientific prevention and control of epidemics such as COVID-19.

13.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-323888

ABSTRACT

Background: Novel coronavirus disease (COVID-19) is an emerging, rapidly evolving situation. At present, the prognosis of severe and critically ill patients has become an important focus of attention. We strived to develop a prognostic prediction model for severe and critically ill COVID-19 patients.MethodsTo assess the factors associated with the prognosis of those patients, we retrospectively investigated the clinical, laboratory characteristics of confirmed 112 cases of COVID-19 admitted between 21 January to 6 March 2020 from Huangshi Central Hospital, Huangshi Hospital of Traditional Chinese Medicine, and Daye People’s Hospital. We applied machine learning method (survival random forest) to select predictors for 28-day survival and taken into account the dynamic trajectory of laboratory indicators. Results Fifteen candidate prognostic features, including 11 baseline measures (including platelet count (PLT), urea, creatine kinase (CK), fibrinogen, creatine kinase isoenzyme activity, aspartate aminotransferase (AST), activation of partial thromboplastin time (APTT), albumin, standard deviation of erythrocyte distribution width (RBC-SD), neutrophils (%) and red blood cell count (RBC)) and 4 trajectory clusters (changes during hospitalization in the white blood cell (WBC), PLT large cell ratio (P-LCR), PLT distribution width (PDW) and AST), combined with covariates achieved 100% (95%CI: 99%-100%) AUC and reached 87% (95%CI: 84%-91%) AUC in an external validation set. Conclusions Taking advantage of random forest technique and laboratory dynamic measures, we developed a forest model to predict survival outcome of COVID-19 patients, which achieved 87% AUC in the external validation set. Our online tool will help to facilitate the early recognition of patients with high risk.

14.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-317950

ABSTRACT

Background: To analyze the online course efficiency of a combined mode of Massive Open Online Course (MOOC) micro-video and E-learning platform in Nanjing Medical University during the COVID-19 epidemic. Methods: : We developed a new questionnaire to assess the efficiency of online teaching of medical statistics in Nanjing Medical University. This investigation enrolled students participating in the online course of medical statistics from January 2020 to June 2020. The “Questionnaire Star” electronic questionnaire collection system was used to collect data. Results: : In total, 1050 of the 1210 (86.78%) students completed the questionnaire, including 971 (92.48%) juniors. To be specific, 57.33% of the students majored in clinical medicine, 15.14% in pharmacy, 10.38% in pediatrics, 8.00% in medical imageology, and 6.29% in basic medicine. As to the question "Are you satisfied with the current online teaching method?", 354 (32.77%) students responded with "Agree" and "Strongly Agree", and 1012 (96.47%) thought they needed to consolidate what they had learned after returning to school. Most students reported their "Difficulties in the learning process" by "Learning motivation" and "Personal inertia" (59.90% and 58.29%, respectively). Conclusions: : The online course of medical statistics was favored by most students, suggesting its efficiency an efficient alternative to classroom study during the COVID-19 pandemic. Yet there were still some problems, such as inconvenient communication between teachers and students, poor mastery of key knowledge, which should be resolved in classroom teaching at school.

15.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-308192

ABSTRACT

Background: The outbreak of sever acute respiratory syndrome coronavirus 2(SARS-CoV-2) has become a great threat to the world. No study has been done on the mild or asymptomatic SARS-CoV-2 in a family cluster. Methods: : We report the epidemiological, clinical, laboratory, radiological, and clinical outcomes of five patients in a family cluster. Results: : We enrolled a family of five patients who was confirmed with SARS-CoV-2 infection. One of them worked in Wuhan and returned to Danzhou, Hainan on January 22,2020. The other four family members, who did not travel to Wuhan, became infected with the virus after several days of contact with the family member. Five family members (aged 33–57years) presented with fever, cough or no symptom onset. Three of them had negative nucleic test on first swab sampling. One of them was not confirmed until the third nucleic acid test. Two of them had radiological ground-glass lung opacities. Two patients presenting with fever had lymphopenia or decreased white blood cells. No one had increased C-reactive protein or lactate dehydrogenase levels. After treatment, they were discharged. Conclusions: : Person-to-person transmission of SARS-CoV-2 was confirmed in family setting. Concerns should be raised for the asymptomatic persons in a family cluster.

16.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-308191

ABSTRACT

Background: Confirmed cases of coronavirus disease 2019 (COVID-19) is still increasing, detailed analysis of confirmed cases may be beneficial for disease control. Methods: : To describe the clinical and radiological findings of patients confirmed with COVID-19 infection in Haikou, China. Results: : A total of 67 patients confirmed with COVID-19 infection were included in this study. 50 were imported cases. Most infected patients presented with fever and cough. The typical CT findings of lung lesions were bilateral, multifocal lung lesions (52[78%]), with subpleural distribution, and more than two lobes involved (51[78%]). 54 (81%) patients of COVID-19 pneumonia had ground glass opacities. Consolidation was in 30 (45%) patients, crazy paving pattern or interlobular thickening in 17 (25%), adjacent pleura thickening in 23 (34%) patients. Additionally, baseline chest CT did not reveal positive CT findings in 7 patients (23%), but 3 patients presented unilateral ground glass opacities at follow-up. Importantly, the follow-up CT findings were fitted well with the clinical outcomes. Conclusions: : Chest CT could be used as an important tool for early diagnosis of COVID-19, monitoring the disease evolution, judging the treatment effectiveness and predicting the clinical outcomes.

17.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-308190

ABSTRACT

To describe the clinical and radiological findings of patients confirmed with 2019 novel coronavirus disease (COVID-19) infection in Haikou, China. A total of 67 patients confirmed with COVID-19 infection were included in this study. 50 were imported cases. Most infected patients presented with fever and cough. The typical CT findings of lung lesions were bilateral, multifocal lung lesions (52[78%]), with subpleural distribution, and more than two lobes involved (51[78%]). 54 (81%) patients of COVID-19 pneumonia had ground glass opacities. Consolidation was in 30 (45%) patients, crazy paving pattern or interlobular thickening in 17 (25%), adjacent pleura thickening in 23 (34%) patients. Additionally, baseline chest CT did not reveal positive CT findings in 7 patients (23%), but 3 patients presented unilateral ground glass opacities at follow-up. Importantly, the follow-up CT findings were fitted well with the clinical outcomes.

18.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-308189

ABSTRACT

Objective: To elucidate the consistency between CT findings and real time reverse-transcription–polymerase chain- reaction (RT-PCR) results and investigate the relationship between CT features and clinical prognosis in COVID-19. Methods: : The clinical manifestations, laboratory parameters and CT imaging findings were analyzed in thirty-four patients with COVID-19 confirmed by RT-PCR from January 20 to February 4 in Hainan province. CT score was compared between the discharged patients and ICU patients. Results: : Fever (85%) and cough (79%) were most commonly seen. 10 (29%) patients demonstrated negative results on their first RT-PCR.22/34(65%) patients showed pure ground glass opacity (GGO). 17/34 (50%) patients had five lobes of lung involvement, while the 23(68%) patients had lower lobes were involved and 24/34 (71%) were subpleural. Lesions of 24 (71%) patients were distributed mainly in the subpleural. During follow-up, the initial CT lesions of ICU patients are distributed in both subpleural and parenchyma (80%) and the lesions are scattered. 60% of ICU patients had five lobes involved, while this was seen in only 25% discharged patients. Lesions of discharged patients are mainly in the subpleural (75%). 62.5% of discharged patients showed pure ground-glass opacity. 80% ICU demonstrated progressive stage on their first CT scan. 75 % discharged patients were at an early stage. CT score of ICU patients were significantly higher than that of the discharged patients. Conclusion: Chest CT plays a crucial role in the early diagnosis of COVID-19, particularly for those patients with negative RT-PCR. The initial features in CT may be associated with prognosis.Authors Hui Juan Chen and Jie Qiu contributed equally to this work.

19.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-308188

ABSTRACT

Background: To develop a machine learning-based CT radiomics model is critical for the accurate diagnosis of the rapid spread Coronavirus disease 2019 (COVID-19). Methods: : In this retrospective study, a total of 326 chest CT exams from 134 patients (63 confirmed COVID-19 patients and 71 non-COVID-19 patients) were collected from January 20 to February 8, 2020. A semi-automatic segmentation procedure was used to delineate the region of interest (ROI), and the radiomic features were extracted. The Support Vector Machine(SVM) model was built on the combination of the 4 groups of features, including radiomic features, traditional radiological features, quantifying features and clinical features, by repeated cross-validation procedure and the performance on the time-independent testing cohort was evaluated by the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity and specificity. Results: : For the SVM model that built on the combination of 4 groups of features(integrated model), the per-exam AUC of 0.925(95% CI: 0.856 to 0.994) was reached for differentiating COVID-19 on the testing cohort, and the sensitivity and specificity were 0.816(95% CI: 0.651 to 0.917) and 0.923(95% CI: 0.621 to 0.996), respectively. For the SVM models that built on radiomic features, radiological features, quantifying features and clinical features individually, the AUC on the testing cohort reached 0.765, 0.818, 0.607 and 0.739 respectively, significantly lower than the integrated model, except for the radiomic model. Conclusion: The machine learning-based CT radiomics models may accurately detect COVID-19, helping clinicians and radiologists to identify COVID-19 positive cases.

20.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-308187

ABSTRACT

Purpose: To develop a machine learning-based CT radiomics model is critical for the accurate diagnosis of the rapid spread Coronavirus disease 2019 (COVID-19). Methods: In this retrospective study, a machine learning-based CT radiomics model was developed to extract features from chest CT exams for the detection of COVID-19. Other viral-pneumonia CT exams of the corresponding period were also included. The radiomics features extracted from the region of interest (ROI), the radiological features evaluated by the radiologists, the quantity features calculated by the AI segmentation and evaluation, and the clinical parameters including clinical symptoms, epidemiology history and biochemical results were enrolled in this study. The SVM model was built and the performance on the testing cohort was evaluated by the area under the receiver operating characteristic curve (AUC), sensitivity and specificity. Results: For the SVM model that built on the radiomics features only, it reached an AUC of 0.688(95% CI 0.496 to 0.881) on the testing cohort. After the radiological features were enrolled, the AUC achieved 0.696(95% CI 0.501 to 0.892), then the AUC reached 0.753(95% CI 0.596 to 0.910) after the quantity features were included. Our final model employed all the features, reached the per-exam sensitivity and specificity for differentiating COVID-19 was 29 of 38 (0.763, 95% CI: 0.598 to 0.886]) and 12 of 13 (0.923, 95% CI: 0.640 to 0.998]), respectively, with an AUC of 0.968(95% CI 0.911 to 1.000). Conclusion: The machine learning-based CT radiomics models may accurately detect COVID-19 and differentiate it from other viral pneumonia.

SELECTION OF CITATIONS
SEARCH DETAIL