Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is a common cause of hospital admissions. Coronavirus disease 2019 (COVID-19) has large impact on patients with pulmonary diseases. The purpose of the study is to evaluate the impact of COVID-19 on patients with AECOPD.
UNASSIGNED: Retrospective study with two cohorts, the first period included patients with AECOPD before COVID-19 pandemic; the second period included patients with AECOPD since the beginning of COVID-19 pandemic. The length of stay (LOS), number of patients requiring mechanical ventilation, and allcause mortality were calculated.
UNASSIGNED: There was a total of 55 (44.72%) patients in the pre-COVID period compared to 68 (55.28%) patients in the COVID period. In the pre-COVID period: 14 (19.44%) had hypertension, 26(36.11%) had diabetes, 27(37.50%) had ischemic heart disease, 3(4.17%) had myocardial infarction; in the COVID period: 20 (29.41%) had hypertension, 24(35.29%) had diabetes, 27(39.71%) had ischemic heart disease, 1(1.47) had myocardial infarction. The LOS was shorter in pre-COVID period compared to COVID period, 6.51(SD 5.02) days vs 8.91(SD7.88) days with P-value of 0.042 respectively. The total number of patients needing mechanical ventilation in pre-COVID period was similar to the COVID period with P-value of 0.555. All-cause mortality number was 2 (3.64%) in the pre-COVID period compared to 6 (8.82%) in COVID period with P-value of 0.217.
UNASSIGNED: Study results revealed significant difference in length of stay for patients with AECOPD, patient in COVID period had increased LOS compared to pre-COVID period. There was no significant difference in the other parameters.

UNASSIGNED: Inflammatory bowel disease (IBD) patients use a wide variety of immunosuppressive drugs, including biologics, but their effect on SARS-CoV-2 vaccine antibody levels remains a mystery.
UNASSIGNED: We analysed whether the drugs used in the treatment of IBD patients could affect the concentration of SARS-CoV-2 antibodies.
UNASSIGNED: This is a prospective, single-centre evaluation of the persistence of SARS-CoV-2 antibodies after vaccination at various time points: every 2 months throughout the 6th month after the first dose.
UNASSIGNED: We included a total of 346 vaccinated IBD patients in the study. A negative correlation between antibody level and time from full vaccination was confirmed for the following types of therapy: infliximab (rho = -0.32, p < 0.001), adalimumab (rho = -0.35, p = 0.025), and vedolizumab (rho = -0.50, p < 0.001). In the case of other, long-term drug administration, a negative correlation between antibody level and time from full vaccination was confirmed for mesalazine (rho = -0.35, p < 0.001), budesonide (rho = -0.58, p = 0.004), systemic glucocorticoids (rho = -0.58, p < 0.001), and azathioprine (rho = -0.44, p < 0.001).
UNASSIGNED: Due to the immunosuppressive and biological treatment, IBD patients are exposed to a shorter persistence of SARS-CoV-2 antibodies and require booster doses. The role of gastroenterologists in educating patients about the need to continue SARS-CoV-2 vaccination remains crucial.

(1) Background/Objectives: Dexmedetomidine is a sedative for patients receiving invasive mechanical ventilation (IMV) that previous single-site studies have found to be associated with improved survival in patients with COVID-19. The reported clinical benefits include dampened inflammatory response, reduced respiratory depression, reduced agitation and delirium, improved preservation of responsiveness and arousability, and improved hypoxic pulmonary vasoconstriction and ventilation-perfusion ratio. Whether improved mortality is evident in large, multi-site COVID-19 data is understudied. (2) Methods: The association between dexmedetomidine use and mortality in patients with COVID-19 receiving IMV was assessed. This retrospective multi-center cohort study utilized patient data in the United States from health systems participating in the National COVID Cohort Collaborative (N3C) from 1 January 2020 to 3 November 2022. The primary outcome was 28-day mortality rate from the initiation of IMV. Propensity score matching adjusted for differences between the group with and without dexmedetomidine use. Adjusted hazard ratios (aHRs) for 28-day mortality were calculated using multivariable Cox proportional hazards models with dexmedetomidine use as a time-varying covariate. (3) Results: Among the 16,357,749 patients screened, 3806 patients across 17 health systems met the study criteria. Mortality was lower with dexmedetomidine use (aHR, 0.81; 95% CI, 0.73-0.90; p < 0.001). On subgroup analysis, mortality was lower with earlier dexmedetomidine use-initiated within the median of 3.5 days from the start of IMV-(aHR, 0.67; 95% CI, 0.60-0.76; p < 0.001) as well as use prior to standard, widespread use of dexamethasone for patients on respiratory support (prior to 30 July 2020) (aHR, 0.54; 95% CI, 0.42-0.69; p < 0.001). In a secondary model that was restricted to 576 patients across six health system sites with available PaO2/FiO2 data, mortality was not lower with dexmedetomidine use (aHR 0.95, 95% CI, 0.72-1.25; p = 0.73); however, on subgroup analysis, mortality was lower with dexmedetomidine use initiated earlier than the median dexmedetomidine start time after IMV (aHR, 0.72; 95% CI, 0.53-0.98; p = 0.04) and use prior to 30 July 2020 (aHR, 0.22; 95% CI, 0.06-0.78; p = 0.02). (4) Conclusions: Dexmedetomidine use was associated with reduced mortality in patients with COVID-19 receiving IMV, particularly when initiated earlier, rather than later, during the course of IMV as well as use prior to the standard, widespread usage of dexamethasone during respiratory support. These particular findings might suggest that the associated mortality benefit with dexmedetomidine use is tied to immunomodulation. However, further research including a large randomized controlled trial is warranted to evaluate the potential mortality benefit of DEX use in COVID-19 and evaluate the physiologic changes influenced by DEX that may enhance survival.

BACKGROUND: Following the short-term outbreak of coronavirus disease 2019 (COVID-19) in December 2022 in China, clinical data on kidney transplant recipients (KTRs) with COVID-19 are lacking. METHODS: We conducted a single-center retrospective study to describe the clinical features, complications, and mortality rates of hospitalized KTRs infected with COVID-19 between Dec. 16, 2022 and Jan. 31, 2023. The patients were followed up until Mar. 31, 2023. RESULTS: A total of 324 KTRs with COVID-19 were included. The median age was 49 years. The median time between the onset of symptoms and admission was 13 d. Molnupiravir, azvudine, and nirmatrelvir/ritonavir were administered to 67 (20.7%), 11 (3.4%), and 148 (45.7%) patients, respectively. Twenty-nine (9.0%) patients were treated with more than one antiviral agent. Forty-eight (14.8%) patients were treated with tocilizumab and 53 (16.4%) patients received baricitinib therapy. The acute kidney injury (AKI) occurred in 81 (25.0%) patients and 39 (12.0%) patients were admitted to intensive care units. Fungal infections were observed in 55 (17.0%) patients. Fifty (15.4%) patients lost their graft. The 28-d mortality rate of patients was 9.0% and 42 (13.0%) patients died by the end of follow-up. Multivariate Cox regression analysis identified that cerebrovascular disease, AKI incidence, interleukin (IL)‍-6 level of >6.8 pg/mL, daily dose of corticosteroids of >50 mg, and fungal infection were all associated with an increased risk of death for hospitalized patients. CONCLUSIONS: Our findings demonstrate that hospitalized KTRs with COVID-19 are at high risk of mortality. The administration of immunomodulators or the late application of antiviral drugs does not improve patient survival, while higher doses of corticosteroids may increase the death risk.
2022年12月2019冠状病毒病（COVID-19）在中国出现短期的暴发流行，大量肾移植受者在感染COVID-19后需住院治疗。本研究回顾分析了在2022年12月16日至2023年1月31日期间感染COVID-19并在浙江大学医学院附属第一医院住院治疗的肾移植受者的临床特征和预后，随访截至2023年3月31日。本研究共纳入324名患者，其中位年龄为49岁，从出现症状到入院的中位时间为13天。分别有67例（20.7%）、11例（3.4%）和148例（45.7%）患者接受了莫那匹韦、阿兹夫定和奈玛特韦/利托那韦治疗，29例（9.0%）患者接受了多种抗病毒药物治疗，48例（14.8%）接受了托珠单抗治疗，53例（16.4%）接受了巴瑞替尼治疗。其中，81例（25.0%）发生急性肾损伤（AKI），39例（12.0%）转入ICU治疗，55例（17.0%）发生真菌感染，50例（15.4%）最终发生移植肾失功。患者的28天死亡率为9.0%，截至随访终点时共有42例（13.0%）患者死亡。多因素Cox回归分析显示合并脑血管疾病、AKI出现、白介素-6（IL-6）水平大于6.8 pg/mL、每日平均糖皮质激素剂量大于50 mg以及真菌感染等因素与住院患者死亡风险增加相关。结果表明，感染COVID-19后需住院治疗的肾移植受者死亡率很高。此外，服用免疫调节剂或过迟应用抗病毒药物，并不能提高患者生存率，而且大剂量的糖皮质激素使用则会增加死亡风险。.

BACKGROUND: The clinical manifestations and prognosis of hemodialysis patients with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) during the Omicron wave of the pandemic infection were still unclear. This study investigated the clinical characteristics of patients undergoing maintenance hemodialysis (MHD) infected with it.
METHODS: This retrospective single-center study included 151 patients undergoing MHD. Healthcare workers were selected as control group were assessed from December 1, 2022 to March 31, 2023. Clinical data, laboratory test results, treatment protocols, and prognoses were collected and analyzed.
RESULTS: The study population included 146 patients with MHD, 93 (63.7%) of whom were infected with SARS-CoV-2. The number of non-severe, severe, and critical cases was 84 (90.3%), 4 (4.3%), and 5 (5.3%), respectively. Six patients (6.5%) died during the study period. The main symptoms of SARS-CoV-2 infection, including fever, cough, and fatigue, were less common in patients with MHD than the controls. During SARS-CoV-2 infection, the C-reactive protein (2.9 vs. 11.8 mg/dl, p < 0.0001) and ferritin levels(257.7 vs. 537 ng/l, p < 0.0001) were elevated. The hemoglobin(113vs 111 g/L, p = 0.0001) and albumin levels(39.4 vs. 36.1 g/L, p < 0.0001) decreased. Generally, it took two months for the hemoglobin levels to recover. Positivity rate for SARS-COV-2 serum immunoglobin G (IgG) antibodies and IgG titers were lower in dialysis patients than the controls. Age was positively associated with disease severity, while age and hyponatremia were associated with death.
CONCLUSIONS: Patients with MHD and COVID-19 were primarily classified as non-severe. SARS-CoV-2 infection would soon lead to the increase of inflammation related acute response protein in dialysis patients, and then lead to the decrease of hemoglobin and albumin. About 9.6% in HD patients were severe cases and had poor prognosis. Advanced age and hyponatremia were associated with disease severity and prognosis.

BACKGROUND: Despite vaccines\' effectiveness in reducing COVID-19 infection rates and disease severity, their impact on critical patients presenting with acute respiratory failure is elusive. The aim of this study was to further investigate the influence of vaccination on mortality rates among severely ill COVID-19 patients experiencing acute respiratory failure.
METHODS: This retrospective cohort study was carried out at a tertiary medical center in Taiwan. From April to September 2022, patients who tested positive for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through reverse transcription polymerase chain reaction (RT-PCR) and subsequently experienced acute respiratory failure were included in the study. Baseline characteristics, including vaccination history, along with information regarding critical illness and clinical outcomes, were gathered and compared between patients who received the vaccine and those who did not.
RESULTS: A total of 215 patients with COVID-19 exhibiting acute respiratory failure, as confirmed via RT‒PCR, were included in the analysis. Of this cohort, sixty-six (30.7%) patients died within 28 days. Neither administration of the vaccine nor achievement of primary series vaccination status had a significantly different effect on 28 day mortality, number of viral shedding events, acute respiratory distress syndrome (ARDS) incidence or other clinical outcomes. Patients who received the booster vaccine and completed the primary series showed a tendency of increased 28 days of ventilator-free status, though this difference was not statistically significant (p = 0.815).
CONCLUSIONS: Vaccination status did not significantly influence mortality rates, the occurrence of ARDS, or the viral shedding duration in COVID-19 patients with acute respiratory failure.

Coronavirus disease 2019 (COVID-19) is continuously posing high global public health concerns due to its high morbidity and mortality. This study aimed to construct a convenient risk model for predicting in-hospital mortality of COVID-19 Omicron variant. A total of 1324 hospitalized patients with Omicron variant were enrolled from Beijing Anzhen Hospital. During hospitalization, the Omicron variant mortality rate was found to be 24.4%. Using the datasets of clinical demographics and laboratory tests, three machine learning algorithms, including best subset selection, stepwise selection, and least absolute shrinkage and selection operator regression analyses were employed to identify the potential predictors of in-hospital mortality. The results found that a panel of twenty-four clinical variables (including age, hyperlipemia, stroke, tumor, and several cardiovascular markers) identified by stepwise selection model exhibited significant performances in predicting the in-hospital mortality of COVID-19. The resultant nomogram showed good discrimination, highlighted by the areas under the curve values of 0.88 for 10 days, 0.81 for 20 days, and 0.82 for 30 days, respectively. Furthermore, decision curve analysis showed a significant reliability and precision for the established stepwise selection model. Collectively, this study developed an accurate and convenience risk model for predicting the in-hospital mortality of COVID-19 Omicron.

UNASSIGNED: With the development of the novel coronavirus disease 2019 (COVID-19), China implemented measures in an attempt to control the infection rate. We conducted a single-center, cross-sectional study to ascertain the impact of the COVID-19 pandemic on the equitable availability of medical resources for children diagnosed with malignant solid tumors in China.
UNASSIGNED: Data on the demographics, clinical characteristics, and medical expenses of 876 patients diagnosed with neuroblastoma, rhabdomyosarcoma (RMS), Wilms tumor, hepatoblastoma (HB), Ewing sarcoma (ES), and central nervous system (CNS) tumors from 2019 to 2021, during the COVID-19 pandemic, were retrospectively collected from the National Center for Children\'s Health. The Pearson χ2 test and Mann-Whitney test were performed to analyze the differences among variables.
UNASSIGNED: Except for the regional origin of children with tumors during the epidemic, no significant differences were found in the demographic or clinical characteristics of patients at initial diagnosis. The number of patients from northern China and northeastern China who attended Beijing Children\'s Hospital (BCH) increased after the outbreak of COVID-19 (P=0.001). There was no significant alteration observed in the frequency of hospitalizations per individual per annum (P=0.641) or the mean expense incurred per individual per hospitalization (P=0.361). In addition, the medical insurance coverage rate of real-time settlement increased year by year.
UNASSIGNED: After the COVID-19 outbreak, the origin of patients with solid tumor who visited BCH was concentrated in the northern region of China. COVID-19 had no impact on the other demographic factors, clinical characteristics, or economic burden of patients with pediatric malignant solid tumors.

BACKGROUND: The study aimed to construct a standardized quality control management procedure (QCMP) and access its accuracy in the quality control of COVID-19 reverse transcriptase-polymerase chain reaction (RT-PCR).
METHODS: Considering the initial RT-PCR results without applying QCMP as the gold standard, a large-scale diagnostic accuracy study including 4,385,925 participants at three COVID-19 RT-PCR testing sites in China, Foshan (as a pilot test), Guangzhou and Shenyang (as validation sites), was conducted from May 21, 2021, to December 15, 2022.
RESULTS: In the pilot test, the RT-PCR with QCMP had a high accuracy of 99.18% with 100% specificity, 100% positive predictive value (PPV), and 99.17% negative predictive value (NPV). The rate of retesting was reduced from 1.98% to 1.16%. Its accuracy was then consistently validated in Guangzhou and Shenyang.
CONCLUSIONS: The RT-PCR with QCMP showed excellent accuracy in identifying true negative COVID-19 and relieved the labor and time spent on retesting.

UNASSIGNED: The global coronavirus disease 2019 (COVID-19) pandemic has posed substantial challenges for healthcare systems, notably the increased demand for chest computed tomography (CT) scans, which lack automated analysis. Our study addresses this by utilizing artificial intelligence-supported automated computer analysis to investigate lung involvement distribution and extent in COVID-19 patients. Additionally, we explore the association between lung involvement and intensive care unit (ICU) admission, while also comparing computer analysis performance with expert radiologists\' assessments.
UNASSIGNED: A total of 81 patients from an open-source COVID database with confirmed COVID-19 infection were included in the study. Three patients were excluded. Lung involvement was assessed in 78 patients using CT scans, and the extent of infiltration and collapse was quantified across various lung lobes and regions. The associations between lung involvement and ICU admission were analysed. Additionally, the computer analysis of COVID-19 involvement was compared against a human rating provided by radiological experts.
UNASSIGNED: The results showed a higher degree of infiltration and collapse in the lower lobes compared to the upper lobes (P<0.05). No significant difference was detected in the COVID-19-related involvement of the left and right lower lobes. The right middle lobe demonstrated lower involvement compared to the right lower lobes (P<0.05). When examining the regions, significantly more COVID-19 involvement was found when comparing the posterior vs. the anterior halves and the lower vs. the upper half of the lungs. Patients, who required ICU admission during their treatment exhibited significantly higher COVID-19 involvement in their lung parenchyma according to computer analysis, compared to patients who remained in general wards. Patients with more than 40% COVID-19 involvement were almost exclusively treated in intensive care. A high correlation was observed between computer detection of COVID-19 affections and the rating by radiological experts.
UNASSIGNED: The findings suggest that the extent of lung involvement, particularly in the lower lobes, dorsal lungs, and lower half of the lungs, may be associated with the need for ICU admission in patients with COVID-19. Computer analysis showed a high correlation with expert rating, highlighting its potential utility in clinical settings for assessing lung involvement. This information may help guide clinical decision-making and resource allocation during ongoing or future pandemics. Further studies with larger sample sizes are warranted to validate these findings.