Identification of a novel neurovirulence factor encoded by the cryptic orphan gene UL31.6 of herpes simplex virus 1.

Although the herpes simplex virus type 1 (HSV-1) genome was thought to contain approximately 80 different protein coding sequences (CDSs), recent multi-omics analyses reported HSV-1 encodes more than 200 potential CDSs. However, few of the newly identified CDSs were confirmed to be expressed at the peptide or protein level in HSV-1-infected cells. Furthermore, the impact of the proteins they encode on HSV-1 infection is largely unknown. This study focused on a newly identified CDS, UL31.6. Re-analyzation of our previous chemical proteomics data verified that UL31.6 was expressed at the peptide level in HSV-1-infected cells. Antisera raised against a viral protein encoded by UL31.6 (pUL31.6) reacted with a protein with an approximate molecular mass of 37 kDa in lysates of Vero cells infected with each of three HSV-1 strains. pUL31.6 was efficiently dissociated from virions in high-salt solution. A UL31.6-null mutation had a minimal effect on HSV-1 gene expression, replication, cell-to-cell spread, and morphogenesis in Vero cells; in contrast, it significantly reduced HSV-1 cell-to-cell spread in three neural cells but not in four non-neural cells including Vero cells. The UL31.6-null mutation also significantly reduced the mortality and viral replication in the brains of mice after intracranial infection, but had minimal effects on pathogenic manifestations in and around the eyes, and viral replication detected in the tear films of mice after ocular infection. These results indicated that pUL31.6 was a tegument protein and specifically acted as a neurovirulence factor by potentially promoting viral transmission between neuronal cells in the central nervous system.IMPORTANCERecent multi-omics analyses reported the herpes simplex virus type 1 (HSV-1) genome encodes an additional number of potential coding sequences (CDSs). However, the expressions of these CDSs at the peptide or protein levels and the biological effects of these CDSs on HSV-1 infection remain largely unknown. This study annotated a cryptic orphan CDS, termed UL31.6, an HSV-1 gene that encodes a tegument protein with an approximate molecular mass of 37 kDa, which specifically acts as a neurovirulence factor. Our study indicates that HSV-1 proteins important for viral pathogenesis remain to be identified and a comprehensive understanding of the pathogenesis of HSV-1 will require not only the identification of cryptic orphan CDSs using emerging technologies but also step-by-step and in-depth analyses of each of the cryptic orphan CDSs.

Virus-like insertions with sequence signatures similar to those of endogenous nonretroviral RNA viruses in the human genome.

Understanding the genetics and taxonomy of ancient viruses will give us great insights into not only the origin and evolution of viruses but also how viral infections played roles in our evolution. Endogenous viruses are remnants of ancient viral infections and are thought to retain the genetic characteristics of viruses from ancient times. In this study, we used machine learning of endogenous RNA virus sequence signatures to identify viruses in the human genome that have not been detected or are already extinct. Here, we show that the k-mer occurrence of ancient RNA viral sequences remains similar to that of extant RNA viral sequences and can be differentiated from that of other human genome sequences. Furthermore, using this characteristic, we screened RNA viral insertions in the human reference genome and found virus-like insertions with phylogenetic and evolutionary features indicative of an exogenous origin but lacking homology to previously identified sequences. Our analysis indicates that animal genomes still contain unknown virus-derived sequences and provides a glimpse into the diversity of the ancient virosphere.

Multi-Task Learning for Compositional Data via Sparse Network Lasso.

Multi-task learning is a statistical methodology that aims to improve the generalization performances of estimation and prediction tasks by sharing common information among multiple tasks. On the other hand, compositional data consist of proportions as components summing to one. Because components of compositional data depend on each other, existing methods for multi-task learning cannot be directly applied to them. In the framework of multi-task learning, a network lasso regularization enables us to consider each sample as a single task and construct different models for each one. In this paper, we propose a multi-task learning method for compositional data using a sparse network lasso. We focus on a symmetric form of the log-contrast model, which is a regression model with compositional covariates. Our proposed method enables us to extract latent clusters and relevant variables for compositional data by considering relationships among samples. The effectiveness of the proposed method is evaluated through simulation studies and application to gut microbiome data. Both results show that the prediction accuracy of our proposed method is better than existing methods when information about relationships among samples is appropriately obtained.

Multilinear Common Component Analysis via Kronecker Product Representation.

We consider the problem of extracting a common structure from multiple tensor data sets. For this purpose, we propose multilinear common component analysis (MCCA) based on Kronecker products of mode-wise covariance matrices. MCCA constructs a common basis represented by linear combinations of the original variables that lose little information of the multiple tensor data sets. We also develop an estimation algorithm for MCCA that guarantees mode-wise global convergence. Numerical studies are conducted to show the effectiveness of MCCA.

Prediction of an increase in oxygen requirement of SARS-CoV-2 pneumonia using three different scoring systems.

INTRODUCTION: In patients with severe coronavirus disease 2019 (COVID-19), respiratory failure is a major complication and its symptoms occur around one week after onset. The CURB-65, A-DROP and expanded CURB-65 tools are known to predict the risk of mortality in patients with community-acquired pneumonia. In this retrospective single-center retrospective study, we aimed to assess the correlations of the A-DROP, CURB-65, and expanded CURB-65 scores on admission with an increase in oxygen requirement in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia. METHODS: We retrospectively analyzed 207 patients who were hospitalized with SARS-CoV-2 pneumonia at the Self-Defense Forces Central Hospital in Tokyo, Japan. Performance of A-DROP, CURB-65, and the expanded CURB-65 scores were validated. In addition, we assessed whether there were any associations between an increase in oxygen requirement and known risk factors for critical illness in COVID-19, including elevation of liver enzymes and C-reactive protein (CRP), lymphocytopenia, high D-dimer levels and the chest computed tomography (CT) score. RESULTS: The areas under the curve for the ability of CURB-65, A-DROP, and the expanded CURB-65 scores to predict an increase in oxygen requirement were 0.6961, 0.6980 and 0.8327, respectively, and the differences between the three groups were statistically significant (p < 0.001). Comorbid cardiovascular disease, lymphocytopenia, elevated CRP, liver enzyme and D-dimer levels, and higher chest CT score were significantly associated with an increase in oxygen requirement CONCLUSIONS: The expanded CURB-65 score can be a better predictor of an increase in oxygen requirement in patients with SARS-CoV-2 pneumonia.

Serial serum SARS-CoV-2 RNA results in two COVID-19 cases with severe respiratory failure.

Coronavirus disease 2019 (COVID-19) is spreading worldwide and poses an imminent threat to public health. We encountered 2 cases of COVID-19 with progression resulting in severe respiratory failure and improvement without any specific treatment. To examine the course of infection, we performed reverse-transcription (RT) polymerase chain reaction assay with serum specimens, and serum SARS-CoV-2 RNA was detected in both cases when body temperature increased and respiratory status deteriorated. We, then examined, retrospectively and prospectively, the clinical course during hospitalization by performing serial examinations of serum SARS-CoV-2 RNA status. The findings from our cases suggest that not only is detection of viremia useful as a predictive marker of severity, but also serial serum SARS-CoV-2 RNA results can be helpful for predicting the clinical course.

Tiotropium inhibits mucin production stimulated by neutrophil elastase but not by IL-13.

Tiotropium, a muscarinic antagonist, is approved for the treatment of chronic obstructive pulmonary disease and poorly controlled asthma. Because mucus hypersecretion is characteristic of both of these diseases, and muscarinic agonists stimulate mucus secretion, we hypothesized that tiotropium would attenuate airway MUC5AC expression. We grew normal human bronchial epithelial (NHBE) cells to a goblet cell phenotype with 1 or 5 ng/mL of IL-13 and exposed these cells to 10 nM tiotropium or excipient for the full 14 days. Normally differentiated NHBE cells (without IL-13) were exposed to neutrophil elastase (NE) 1 × 10-7 or 5 × 10-7 M for 1 h. MUC5AC was measured by quantitative PCR and ELISA. Acetylcholine production by the epithelium was evaluated by quantitative PCR and by choline/acetylcholine quantification. Tiotropium had no effect on IL-13-stimulated MUC5AC, but attenuated MUC5AC stimulated by NE (p = 0.007 at 5 × 10-7 M). IL-13 increased CarAT mRNA (p < 0.001 at 5 ng/mL) and acetylcholine concentration in the medium (p = 0.018 at 5 ng/mL), while NE had no effect. Tiotropium had no direct effect on IL-13 or NE-induced CarAT or acetylcholine concentration. Tiotropium decreased MUC5AC stimulated by NE, but had no effect on MUC5AC stimulated by IL-13. These results may be due to IL-13, but not NE, increasing acetylcholine production.

Inhibition of IL-13-induced periostin in airway epithelium attenuates cellular protein expression of MUC5AC.

BACKGROUND AND OBJECTIVE: Serum periostin is increased in asthma and serves as a surrogate marker for IL-13 activity in the lung. Serum levels of periostin are the most robust biomarker predicting a favourable response to the anti-IL-13 drug, lebrikizumab. We investigated the mechanisms of IL-13 stimulation of periostin, the polarized secretion of periostin and whether periostin would have a direct effect on mucin secretion by airway cells. METHODS: Normal human bronchial epithelial (NHBE) cells were cultured at air-liquid interface (ALI) in the presence of IL-13, and we evaluated the effect of the specific inhibitors, leflunomide (Janus kinase (JAK)/signal transducer and activator of transcription factor 6 (STAT6) inhibitor) or PD98059 (MEK/extracellular regulated protein kinase (ERK) inhibitor), on periostin production. We examined MUC5AC secretion from NHBE cells exposed to recombinant human (rh) periostin or IL-13 in the presence and absence of OC-20, a periostin-neutralizing antibody. RESULTS: IL-13 induced periostin protein which was predominantly secreted towards the basal surface of the cells. Periostin production was much greater from goblet cells than ciliated cells (P < 0.001). Periostin production after exposure to IL-13 was attenuated by both leflunomide (P < 0.001) and PD98059 (P < 0.001). The addition of exogenous periostin modestly increased MUC5AC secretion (P < 0.01), but did not visibly change cell morphology. IL-13-induced MUC5AC secretion was attenuated by OC-20 (P < 0.01). CONCLUSION: Periostin production in differentiated airway cells is mediated by JAK/STAT6 and MEK/ERK pathways. Periostin secretion is much greater from immunologically active goblet cells. IL-13-driven mucin production is partially inhibited by OC-20.

Loop-mediated isothermal amplification with the Procedure for Ultra Rapid Extraction kit for the diagnosis of pneumocystis pneumonia.

Loop-mediated isothermal amplification (LAMP) is an innovative molecular technique requiring only a heating device and isothermal conditions to amplify a specific target gene. The results of current microscopic diagnostic tools for pneumocystis pneumonia are not sufficiently consistent for detecting infection with a low-density of Pneumocystis jirovecii. Although polymerase chain reaction (PCR) is highly sensitive, it is not suitable for resource-limited facilities. LAMP is a potential diagnostic replacement for PCR in such settings but a critical disadvantage of DNA extraction was still remained. Therefore, we employed the Procedure for Ultra Rapid Extraction (PURE) kit, which uses a porous material, to isolate the DNA from clinical samples in a simple way in combination with previously reported LAMP procedure for diagnosing PCP. The detection limit of the PURE-LAMP method applied to artificial bronchoalveolar lavage fluid samples was 100 copies/tube, even with the use of massive blood-contaminated solutions. In addition, we concluded the diagnostic procedure within 1 h without the need for additional equipment. PURE-LAMP coupled with suitable primers for specific pathogens has good potential for diagnosing various infectious diseases.

[A case of eosinophilic granulomatosis with polyangiitis with extra-vascular granuloma and eosinophilic vasculitis diagnosed by transbronchial lung biopsy].

A 62-year-old man was suffering from bronchial asthma and referred to our institution with dry cough and dyspnea on exertion in November, 2010. He was diagnosed with eosinophilic granulomatosis with polyangiitis (EPGA, formerly Churg-Strauss syndrome) by chest radiographic findings, blood eosinophilia, mononeuritis multiplex and cardiomyopathy. Steroid therapy was started and he was rapidly improved. Steroid therapy had been tapered off by May, 2012. After 2 months, however, progressive dyspnea, neural symptoms, deafness, re-elevation of blood eosinophils and bilateral multifocal infiltrations appeared. He was re-admitted to our institution. Transbronchial lung biopsy (TBLB) specimens revealed extra-vascular granuloma, eosinophilic vasculitis and eosinophilic pneumonia and we diagnosed him with the reccurence of EGPA. He was improved by steroid pulse therapy, then tapered. This case was the antineutrophil cytoplasmic autoantibodies negative EGPA. The case of EGPA with granuloma and vasculitis diagnosed by TBLB was rare.

Sparse Bayesian Learning With Weakly Informative Hyperprior and Extended Predictive Information Criterion.

This article considers the regression problem with sparse Bayesian learning (SBL) when the number of weights P is larger than the data size N , i.e., P >> N . The situation induces overfitting and makes regression tasks, such as prediction and basis selection, challenging. We show a strategy to address this problem. Our strategy consists of two steps. The first is to apply an inverse gamma hyperprior with a shape parameter close to zero over the noise precision of automatic relevance determination (ARD) prior. This hyperprior is associated with the concept of a weakly informative prior in terms of enhancing sparsity. The model sparsity can be controlled by adjusting a scale parameter of inverse gamma hyperprior, leading to the prevention of overfitting. The second is to select an optimal scale parameter. We develop an extended predictive information criterion (EPIC) for optimal selection. We investigate the strategy through relevance vector machine (RVM) with a multiple-kernel scheme dealing with highly nonlinear data, including smooth and less smooth regions. This setting is one form of the regression task with SBL in the P >> N situation. As an empirical evaluation, regression analyses on four artificial datasets and eight real datasets are performed. We see that the overfitting is prevented, while predictive performance may be not drastically superior to comparative methods. Our methods allow us to select a small number of nonzero weights while keeping the model sparse. Thus, the methods are expected to be useful for basis and variable selection.

Increased risk for CRC in diabetic patients with the nonrisk allele of SNPs at 8q24.

BACKGROUND: Colorectal cancer (CRC) oncogenesis was considered to be determined by interactions between genetic and environmental factors. Specific interacting factors that influence CRC morbidity have yet to be fully investigated. METHODS: A multi-institutional collaborative study with 1511 CRC patients and 2098 control subjects was used to compare the odds ratios for the occurrence of polymorphisms at 11 known single nucleotide polymorphisms (SNPs). TaqMan PCR and questionnaires were used to evaluate the effects of environmental exposures. RESULTS: Variants of rs6983267 on 8q24 were the most significant markers of risk for CRC (odds ratio 1.16, 95% confidence interval 1.06-1.27, P = 0.0015). Non-insulin-dependent diabetes mellitus (DM), a higher body mass index at age 20, and meat consumption were environmental risk factors, whereas a tuna-rich diet and vitamin intake were protective factors. The cohort of rs6983267 SNP major (T) allele at 8q24 and DM had a 1.66-fold higher risk ratio than the cohort of major allele patients without DM. CONCLUSIONS: We confirmed that interactions between the genetic background and environmental factors are associated with increased risk for CRC. There is a robust risk of the minor G allele at the 8q24 rs6983267 SNP; however, a major T allele SNP could more clearly reveal a correlation with CRC specifically when DM is present.

Endpoint Recombinase Polymerase Amplification (RPA) Assay for Enumeration of Thiocyanate-degrading Bacteria.

An endpoint recombination amplification reaction (RPA) assay for assessing the abundance of the gene encoding thiocyanate dehydrogenase (TcDH) in Thiohalobacter has been developed. The RPA reaction was performed at 37°C for 30| |min, terminated by the addition of sodium dodecyl sulfate (SDS) solution, and the DNA concentration of the RPA product was fluorometrically measured. The abundance of TcDH in 22 activated sludge samples and 7 thiocyanate-degrading enrichment cultures ranged between 2.5×103 and 1.5×106 copies µL-1, showing a linear relationship (R2=0.83) with those measured using a conventional quantitative PCR assay.

A case report of coronavirus disease-2019-induced acute asthma exacerbation in an obese patient.

The coronavirus disease-2019 (COVID-19) has spread worldwide. Previous studies indicated a low prevalence of COVID-19 induced acute exacerbations of asthma. We present a 39-year-old-male obese asthmatic case who experienced acute asthma exacerbation during COVID-19. On day 8 of infection, his cough and dyspnea worsened with hypoxia and wheezing. Laboratory test results revealed elevated interleukin-6 (IL-6) and total immunoglobulin E (IgE) levels without eosinophilia. Two months since the onset, hypoxia disappeared with decreased IL-6 and IgE levels. Our case suggested that obesity and high serum IL-6 and IgE levels may have contributed to atypical asthma exacerbation in COVID-19.

Comparison of CT findings of coronavirus disease 2019 (COVID-19) pneumonia caused by different major variants.

PURPOSE: To explore the CT findings and pneumonnia progression pattern of the Alpha and Delta variants of SARS-CoV-2 by comparing them with the pre-existing wild type. METHOD: In this retrospective comparative study, a total of 392 patients with COVID-19 were included: 118 patients with wild type (70 men, 56.8 ± 20.7 years), 137 with Alpha variant (93 men, 49.4 ± 17.0 years), and 137 with Delta variant (94 men, 45.4 ± 12.4). Chest CT evaluation included opacities and repairing changes as well as lesion distribution and laterality. Chest CT severity score was also calculated. These parameters were statistically compared across the variants. RESULTS: Ground glass opacity (GGO) with consolidation and repairing changes were more frequent in the order of Delta variant, Alpha variant, and wild type throughout the disease course. Delta variant showed GGO with consolidation more conspicuously than did the other two on days 1-4 (vs. wild type, Bonferroni corrected p = 0.01; vs. Alpha variant, Bonferroni corrected p = 0.003) and days 5-8 (vs. wild type, Bonferroni corrected p < 0.001; vs. Alpha variant, Bonferroni corrected-p = 0.003). Total lung CT severity scores of Delta variant were higher than those of wild type on days 1-4 and 5-8 (Bonferroni corrected p = 0.01 and Bonferroni corrected p = 0.005, respectively) and that of Alpha variant on days 1-4 (Bonferroni corrected p = 0.002). There was no difference in the CT findings between wild type and Alpha variant. CONCLUSIONS: Pneumonia progression of Delta variant may be more rapid and severe in the early stage than in the other two.

Assessment of Delayed Large Local Reactions After the First Dose of the SARS-CoV-2 mRNA-1273 Vaccine in Japan.

Importance: A delayed large local reaction (DLLR) is a delayed-onset adverse skin reaction that may occur after injection of the mRNA-1273 vaccine against SARS-CoV-2. Objective: To examine the associations between sex and age and susceptibility of DLLRs after mRNA-1273 vaccination. Design, Setting, and Participants: This retrospective cross-sectional study was conducted at the Self-Defense Forces large-scale vaccination center in Tokyo, Japan, from May 24 to November 30, 2021. Participants were recipients of the second dose of the mRNA-1273 vaccine who had received the first dose 4 to 6 weeks earlier. Five experienced dermatologists interviewed participants to assess whether they had experienced symptoms of DLLR after administration of the first dose of the vaccine. Exposure: Receipt of the first dose of the mRNA-1273 vaccine. Main Outcomes and Measures: The primary outcome was the incidence rate of DLLR stratified by sex and age group. Odds ratios (ORs) were calculated to evaluate the differences between groups. Outcomes were tested for significance using the Pearson χ2 test with 95% CIs. Results: Of 5893 participants in the study, 3318 (56.3%) were male (median age, 55 years [IQR, 38-68 years]) and 2575 (43.7%) were female (median age, 50 years [IQR, 34-67 years]). A total of 747 participants (12.7%) experienced DLLR symptoms after the first dose of the mRNA-1273 vaccine. Symptoms were mild and not considered as contraindications to the vaccine. The incidence rate was significantly higher among females (22.4% [577 participants]; OR, 5.30; 95% CI, 4.42-6.34) than among males (5.1% [170 participants]; reference). Moreover, the incidence rate was significantly higher among participants aged 30 to 39 years (14.3% [129 participants]; OR, 1.68; 95% CI, 1.25-2.26), 40 to 49 years (15.8% [136 participants]; OR, 1.89; 95% CI, 1.41-2.53), 50 to 59 years (14.9% [104 participants]; OR, 1.76; 95% CI, 1.29-2.40), and 60 to 69 years (12.6% [182 participants]; OR, 1.45; 95% CI, 1.10-1.91) than among participants aged 18 to 29 years (9.0% [81 participants]; reference). Conclusions and Relevance: In this cross-sectional study, the first dose of the SARS-CoV-2 mRNA-1273 vaccine was associated with a higher incidence of DLLR among females and among individuals aged 30 to 69 years. The findings suggest that DLLR may be a type IV allergic skin reaction.

Incidence and Risk Factors of Immediate Hypersensitivity Reactions and Immunization Stress-Related Responses With COVID-19 mRNA Vaccine.

BACKGROUND: With the implementation of mass vaccination campaigns against COVID-19, the safety of vaccine needs to be evaluated. OBJECTIVE: We aimed to assess the incidence and risk factors for immediate hypersensitivity reactions (IHSR) and immunization stress-related responses (ISRR) with the Moderna COVID-19 vaccine. METHODS: This nested case-control study included recipients who received the Moderna vaccine at a mass vaccination center, Japan. Recipients with IHSR and ISRR were designated as cases 1 and 2, respectively. Controls 1 and 2 were selected from recipients without IHSR or ISRR and matched (1 case: 4 controls) with cases 1 and cases 2, respectively. Conditional logistic regression analysis was used to identify risk factors associated with IHSR and ISRR. RESULTS: Of the 614,151 vaccine recipients who received 1,201,688 vaccine doses, 306 recipients (cases 1) and 2478 recipients (cases 2) showed 318 events of IHSR and 2558 events of ISRR, respectively. The incidence rates per million doses were estimated as IHSR: 266 cases, ISRR: 2129 cases, anaphylaxis: 2 cases, and vasovagal syncope: 72 cases. Risk factors associated with IHSR included female, asthma, atopic dermatitis, thyroid diseases, and a history of allergy; for ISRR, the risk factors were younger age, female, asthma, thyroid diseases, mental disorders, and a history of allergy and vasovagal reflex. CONCLUSION: In the mass vaccination settings, the Moderna vaccine can be used safely owing to the low incidence rates of IHSR and anaphylaxis. However, providers should be aware of the occurrence of ISRR. Although recipients with risk factors are associated with slightly increased risks of IHSR and ISRR, this is not of sufficient magnitude to warrant special measures regarding their vaccination.

Complete Genome Sequence of Thiohalobacter sp. Strain COW1, Isolated from Activated Sludge Treating Coke Oven Wastewater.

A thiocyanate-degrading bacterium, Thiohalobacter sp. strain COW1, was isolated from activated sludge treating coke oven wastewater, and the complete genome sequence was determined. COW1 contained a single circular chromosome (3.23 Mb; G+C content, 63.4%) in which 2,788 protein-coding genes, 39 tRNA genes, and 3 rRNA genes were identified.

Indicators of Acute Kidney Injury as Biomarkers to Differentiate Heatstroke from Coronavirus Disease 2019: A Retrospective Multicenter Analysis.

BACKGROUND: Coronavirus disease 2019 (COVID-19) and heat-related illness are systemic febrile diseases. These illnesses must be differentiated during a COVID-19 pandemic in summer. However, no studies have compared and distinguished heat-related illness and COVID-19. We compared data from patients with early heat-related illness and those with COVID-19. METHODS: This retrospective observational study included 90 patients with early heat-related illness selected from the Heatstroke STUDY 2017-2019 (nationwide registries of heat-related illness in Japan) and 86 patients with laboratory-confirmed COVID-19 who had fever or fatigue and were admitted to one of two hospitals in Tokyo, Japan. RESULTS: Among vital signs, systolic blood pressure (119 vs. 125 mm Hg, p = 0.02), oxygen saturation (98% vs. 97%, p < 0.001), and body temperature (36.6°C vs. 37.6°C, p<0.001) showed significant between-group differences in the heatstroke and COVID-19 groups, respectively. The numerous intergroup differences in laboratory findings included disparities in white blood cell count (10.8 × 103/µL vs. 5.2 × 103/µL, p<0.001), creatinine (2.2 vs. 0.85 mg/dL, p<0.001), and C-reactive protein (0.2 vs. 2.8 mg/dL, p<0.001), although a logistic regression model achieved an area under the curve (AUC) of 0.966 using these three factors. A Random Forest machine learning model achieved an accuracy, precision, recall, and AUC of 0.908, 0.976, 0.842, and 0.978, respectively. Creatinine was the most important feature of this model. CONCLUSIONS: Acute kidney injury was associated with heat-related illness, which could be essential in distinguishing or evaluating patients with fever in the summer during a COVID-19 pandemic.

Efficacy of Chest Radiography as a Primary Care Triage Tool in Severe Coronavirus Disease.

Objective Severe acute respiratory syndrome coronavirus 2 has spread globally, and it is important to utilize medical resources properly, especially in critically ill patients. We investigated the validity of chest radiography as a tool for predicting aggravation in coronavirus disease (COVID-19) cases. Methods A total of 104 laboratory-confirmed COVID-19 cases were referred from the cruise ship "Diamond Princess" to the Self-Defense Forces Central Hospital in Japan from February 11 to 25, 2020. Fifty-nine symptomatic patients were selected. Chest radiography was performed upon hospitalization; subsequently, patients were categorized into the positive radiograph (Group A) and negative radiograph (Group B) groups. Radiographic findings were analyzed with a six-point semiquantitative score. Group A was further classified into two additional subgroups: patients who required oxygen therapy during their clinical courses (Group C) and patients who did not (Group D). Clinical records, laboratory data, and radiological findings were collected for an analysis. Results Among 59 patients, 34 were men with a median age of 60 years old. Groups A, B, C, and D consisted of 33, 26, 12, and 21 patients, respectively. The number of patients requiring oxygen administration was significantly larger in Group A than in Group B. The consolidation score on chest radiographs was significantly higher in Group C than in Group D. When chest radiographs showed consolidation in more than two lung fields, the positive likelihood ratio of deterioration was 10.6. Conclusions Chest radiography is a simple and easy-to-use clinic-level triage tool for predicting the severity of COVID-19 and may contribute to the allocation of medical resources.