Dysregulated proteasome activity and steroid hormone biosynthesis are associated with mortality among patients with acute COVID-19.

The persistence of coronavirus disease 2019 (COVID-19)-related hospitalization severely threatens medical systems worldwide and has increased the need for reliable detection of acute status and prediction of mortality. We applied a systems biology approach to discover acute-stage biomarkers that could predict mortality. A total 247 plasma samples were collected from 103 COVID-19 (52 surviving COVID-19 patients and 51 COVID-19 patients with mortality), 51 patients with other infectious diseases (IDCs) and 41 healthy controls (HCs). Paired plasma samples were obtained from survival COVID-19 patients within 1 day after hospital admission and 1-3 days before discharge. There were clear differences between COVID-19 patients and controls, as well as substantial differences between the acute and recovery phases of COVID-19. Samples from patients in the acute phase showed suppressed immunity and decreased steroid hormone biosynthesis, as well as elevated inflammation and proteasome activation. These findings were validated by enzyme-linked immunosorbent assays and metabolomic analyses in a larger cohort. Moreover, excessive proteasome activity was a prominent signature in the acute phase among patients with mortality, indicating that it may be a key cause of poor prognosis. Based on these features, we constructed a machine learning panel, including four proteins [C-reactive protein (CRP), proteasome subunit alpha type (PSMA)1, PSMA7, and proteasome subunit beta type (PSMB)1)] and one metabolite (urocortisone), to predict mortality among COVID-19 patients (area under the receiver operating characteristic curve: 0.976) on the first day of hospitalization. Our systematic analysis provides a novel method for the early prediction of mortality in hospitalized COVID-19 patients.

Two- and 3-year outcomes in convalescent individuals with COVID-19: A prospective cohort study.

As the long-term consequences of coronavirus disease 2019 (COVID-19) have not been defined, it is necessary to explore persistent symptoms, long-term respiratory impairment, and impact on quality of life over time in COVID-19 survivors. In this prospective cohort study, convalescent individuals diagnosed with COVID-19 were followed-up 2 and 3 years after discharge from hospital. Participants completed an in-person interview to assess persistent symptoms and underwent blood tests, pulmonary function tests, chest high-resolution computed tomography, and the 6-min walking test. There were 762 patients at the 2-year follow-up and 613 patients at the 3-year follow-up. The mean age was 60 years and 415 (54.5%) were men. At 3 years, 39.80% of the participants had at least one symptom; most frequently, fatigue, difficulty sleeping, joint pain, shortness of breath, muscle aches, and cough. The participants experienced different degrees of pulmonary function impairment, with decreased carbon monoxide diffusion capacity being the main feature; results remained relatively stable over the 2-3 years. Multiple logistic regression analysis demonstrated that female sex and smoking were independently associated with impaired diffusion capacity. A subgroup analysis based on disease severity was performed, indicating that there was no difference in other parameters of lung function except forced vital capacity at 3-year follow-up. Persistent radiographic abnormalities, most commonly fibrotic-like changes, were observed at both timepoints. At 3 years, patients had a significantly improved Mental Component Score compared with that at 2 years, with a lower percentage with anxiety. Our study indicated that symptoms and pulmonary abnormalities persisted in COVID-19 survivors at 3 years. Further studies are warranted to explore the long-term effects of COVID-19 and develop appropriate rehabilitation strategies.

Dynamics of host immune responses and a potential function of Trem2hi interstitial macrophages in Pneumocystis pneumonia.

BACKGROUND: Pneumocystis pneumonia (PCP) is a life-threatening opportunistic fungal infection with a high mortality rate in immunocompromised patients, ranging from 20 to 80%. However, current understanding of the variation in host immune response against Pneumocystis across different timepoints is limited. METHODS: In this study, we conducted a time-resolved single-cell RNA sequencing analysis of CD45+ cells sorted from lung tissues of mice infected with Pneumocystis. The dynamically changes of the number, transcriptome and interaction of multiply immune cell subsets in the process of Pneumocystis pneumonia were identified according to bioinformatic analysis. Then, the accumulation of Trem2hi interstitial macrophages after Pneumocystis infection was verified by flow cytometry and immunofluorescence. We also investigate the role of Trem2 in resolving the Pneumocystis infection by depletion of Trem2 in mouse models. RESULTS: Our results characterized the CD45+ cell composition of lung in mice infected with Pneumocystis from 0 to 5 weeks, which revealed a dramatic reconstitution of myeloid compartments and an emergence of PCP-associated macrophage (PAM) following Pneumocystis infection. PAM was marked by the high expression of Trem2. We also predicted that PAMs were differentiated from Ly6C+ monocytes and interacted with effector CD4+ T cell subsets via multiple ligand and receptor pairs. Furthermore, we determine the surface markers of PAMs and validated the presence and expansion of Trem2hi interstitial macrophages in PCP by flow cytometry. PAMs secreted abundant pro-inflammation cytokines, including IL-6, TNF-α, GM-CSF, and IP-10. Moreover, PAMs inhibited the proliferation of T cells, and depletion of Trem2 in mouse lead to reduced fungal burden and decreased lung injury in PCP. CONCLUSION: Our study delineated the dynamic transcriptional changes in immune cells and suggests a role for PAMs in PCP, providing a framework for further investigation into PCP's cellular and molecular basis, which could provide a resource for further discovery of novel therapeutic targets.

Multi-omics analysis reveals overactive inflammation and dysregulated metabolism in severe community-acquired pneumonia patients.

BACKGROUND: Severe community-acquired pneumonia (S-CAP) is a public health threat, making it essential to identify novel biomarkers and investigate the underlying mechanisms of disease severity. METHODS: Here, we profiled host responses to S-CAP through proteomics analysis of plasma samples from a cohort of S-CAP patients, non-severe (NS)-CAP patients, diseases controls (DCs), and healthy controls (HCs). Then, typical differentially expressed proteins were then validated by ELISA in an independent cohort. Metabolomics analysis was further performed on both the cohort 1 and cohort 2. Then, the proteomic and metabolomic signatures were compared between the adult and child cohorts to explore the characteristics of severe pneumonia patients. RESULTS: There were clear differences between CAP patients and controls, as well as substantial differences between the S-CAP and NS-CAP. Pathway analysis of changes revealed excessive inflammation, suppressed immunity, and lipid metabolic disorders in S-CAP cases. Interestingly, comparing these signatures between the adult and child cohorts confirmed that overactive inflammation and dysregulated lipid metabolism were common features of S-CAP patients, independent of age. The change proportion of glycerophospholipids, glycerolipids, and sphingolipids were obviously different in the adult and child S-CAP cases. CONCLUSION: The plasma multi-omics profiling revealed that excessive inflammation, suppressed humoral immunity, and disordered metabolism are involved in S-CAP pathogenesis.

MiR-150 levels are related to in-hospital mortality in non-HIV Pneumocystis pneumonia patients.

Pneumocystis pneumonia (PCP) is a common opportunistic infection that occurs in immunocompromised patients. Compared with HIV patients, PCP in non-HIV patients tends to follow up a more urgent course and poorer prognosis. Therefore, markers that could predict survival of PCP patients in non-HIV population are of great value. MiRNA-150 has been widely studied in many diseases since it has been identified as a vital regulator of immune cell differentiation and activation. We thus conduct this study aiming to evaluate the prognostic value of miR-150 level in non-HIV PCP. First, the expression levels of miR-150 were compared between PCP patients and healthy volunteers. The miR-150 levels in immune cells were also detected in PCP mouse models. Then the prognostic value of miR-150 was further assessed in another PCP population (n = 72). The expression levels of miR-150 were measured by reverse transcription real-time PCR (RT-PCR) technique. Our data demonstrated significantly decreased miR-150 expression levels in PCP patients and mouse models compared to controls. The miR-150 levels also decreased in various immune cells of PCP mouse models. With a cut-off value of 3.48, the area under the curve, sensitivity, specificity of miR-150 to predicate PCP mortality were 0.845, 68.2% and 96.0%, respectively. In conclusion, miR-150 expression value might serve as a potential biomarker to identify PCP patients at high risk of death.

Pneumocystis pneumonia (PCP) remains a fatal risk for immunosuppressed patients. MiR-150 takes part in immune regulation, and thus is involved in infection control. Our study indicated that the miR-150 expression may act as a potential biomarker for predicting mortality of PCP patients.

Impact of Heating Conventional Cigarettes with a Novel Device on Health-related Biomarkers and Cigarette Use Patterns among Chinese Adult Smokers Unwilling to Quit: A Pilot Randomized Controlled Trial.

INTRODUCTION: We evaluated the impact of heating conventional cigarettes with a novel heated tobacco product (HTP) device on biomarkers and cigarette use patterns in Chinese adult smokers unwilling to quit smoking. METHODS: In this pilot randomized controlled trial, 50 eligible participants were allocated to either Control group (smoking conventional cigarettes) or HTP device group (switching to using heated conventional cigarettes by the HTP device). Participants in the HTP device group went through a 2-day run-in period then used heated conventional cigarettes exclusively for 5 days, followed by flexible use for 14 days. Five biomarkers of exposure (BoEs) were measured at baseline and on Day 7. Thirteen biomarkers of biological effect (BoBEs) were measured at baseline and on Day 21. Safety, daily cigarette consumption, craving, withdrawal symptoms, and device acceptability, were assessed. RESULTS: BoE levels decreased by 26.4 % to 71.4% from baseline in the HTP device group, while BoBE levels did not significantly change in either group. In the HTP group, 56% exclusively used heated conventional cigarettes during the flexible use period, experiencing reduced cravings and withdrawal symptoms, while dual users consumed more cigarettes. Mild to moderate device-related reactions were reported in 36% of users. Satisfaction, taste, and harm reduction belief scores averaged 7.4, 6.6, and 8.7 (out of 10), respectively. CONCLUSIONS: Switching to heated cigarettes with the HTP device may reduce short-term exposure to smoke toxicants. However, it can lead to increased tobacco use among dual users. Further investigation is needed to confirm these preliminary findings. IMPLICATIONS: This study is the first to evaluate the impact of heating conventional cigarettes with a novel heated tobacco product (HTP) device on health-related biomarkers and cigarette use patterns among Chinese adult smokers. This novel HTP device can directly heat conventional cigarettes without the necessity for specifically designed tobacco products, avoiding potential additive risks of traditional HTPs. If the results of this study could be further verified by randomized controlled clinical trials with larger sample sizes, this novel HTP device could serve as a short-term harm reduction alternative for smokers unwilling to quit.

Effect of Extended Prone Positioning in Intubated COVID-19 Patients with Acute Respiratory Distress Syndrome: A Systematic Review and Meta-Analysis.

INPLASY REGISTRATION NUMBER: INPLASY202390072.

A combined immune and inflammatory indicator predict the prognosis of severe Pneumocystis jirovecii pneumonia patients: a 12-year, retrospective, observational cohort.

Persistent inflammatory damage and suppressed immune function play a crucial role in the pathogenesis and progression of the pneumocystis jirovecii pneumonia (PjP). Therefore, we aimed to investigate the correlation between the combined immune and inflammatory indicator: the neutrophil-to-lymphocyte ratio (NLR) and prognosis of non-human immunodeficiency virus (non-HIV) PjP.In the retrospective analysis conducted in ICUs at Beijing Chao-Yang Hospital, we examined data from 157 patients diagnosed with non-HIV PjP. Our findings reveal a concerning hospital mortality rate of 43.3%, with the 28-day mortality rate reaching 47.8%.Through multivariable logistic and Cox regression analyses, we established a significant association between elevated NLR levels and hospital mortality (adjusted odd ratio, 1.025; 95% CI, 1.008-1.043; p = 0.004) or 28-day mortality (adjusted hazard ratio, 1.026; 95% CI, 1.008-1.045; p = 0.005). Specifically, patients with an NLR exceeding 20.3 demonstrated markedly lower overall survival rates, underscoring the biomarker's predictive value for both hospital and 28-day mortality.In conclusion, non-HIV PjP patients in the ICU still have a high rate of mortality and a poor short-term prognosis after discharge. A high level of NLR was associated with an increased risk of hospital mortality and 28-day mortality.

Long-term trends and risk factors of tracheostomy and decannulation in patients with cervical spinal cord Injury.

STUDY DESIGN: Retrospective study. OBJECTIVES: To investigate the risk factors of tracheostomy and decannulation after cervical spinal cord injury (CSCI) and their epidemiological changes over the past 8 years in Beijing Bo'ai Hospital, China Rehabilitation Research Center (CRRC), China. SETTING: Beijing Bo'ai Hospital, CRRC. METHODS: We reviewed 8 years of patient data (2013.1.1 to 2020.12.31) at CRRC, focusing on those hospitalized and diagnosed with CSCI. We analyzed changes in demographic and clinical data's trends. Logistic regression analysis was used to determine factors impacting tracheostomy and decannulation. RESULTS: Finally, 1641 CSCI patients met the inclusion criteria. Over the past 8 years, the proportion of tracheostomized patients with CSCI was 16.3%, and the proportion of successfully decannulated of tracheostomized patients with TCSCI was 77.9%. We found that Traumatic (OR = 1.8, 95% CI = 1.06, 3.22; p = 0.046), Motor level of injury (C5-C8) (OR = 0.32, 95% CI = -1.91,-0.34; p = 0.005), AIS = A/B/C (OR = 22.7/11.1/4.2, 95% CI = 12.16,42.26/5.74,21.56/2.23,7.89; p < 0.001/p < 0.001/p < 0.001), age > 56 (OR = 1.6, 95% CI = 1.04, 2.32; p = 0.031) were the risk factors for tracheostomy. By analyzing the risk factors of decannulation failure in tracheostomized patients with TCSCI through multivariable logistic regression, statistically significant differences were found in age > 45 (OR = 4.1, 95% CI = 1.44, 11.81; p = 0.008), complete injury (OR = 2.7, 95% CI = 1.26, 5.95; p = 0.011), facet dislocation (OR = 2.8, 95% CI = 1.13,7.07; p = 0.027). CONCLUSIONS: Recent years have witnessed shifts in the epidemiological characteristics of CSCI. Identifying the factors influencing tracheostomy and decannulation in CSCI can aid in improving patient prognosis.

Predicting the death of patients with anti-melanoma differentiation-associated protein-5-positive dermatomyositis-associated interstitial lung disease: A systematic review and meta-analysis.

OBJECTIVES: To investigate the risk factors for death in anti-melanoma differentiation-associated protein-5-positive dermatomyositis-associated interstitial lung disease (ILD). METHODS: Studies were identified by searching PubMed, Embase, Web of Science, and Cochrane Library. We calculated pooled risk ratios (RRs) or standardized mean differences (SMDs) and 95% confidence intervals (CIs) using random-effects models. RESULTS: Twenty studies were selected. Factors that may increase death risk included older age (SMD: 0.62, 95% CI: 0.42-0.81), elevated Krebs von den Lungen-6 (SMD: 0.66, 95% CI: 0.47-0.86), lactate dehydrogenase (SMD: 0.87, 95% CI: 0.72-1.02), C-reactive protein (SMD: 0.62, 95% CI: 0.44-0.80), ferritin (SMD: 0.93, 95% CI: 0.71-1.15), creatine kinase (SMD: 0.28, 95% CI: 0.13-0.44), neutrophil (SMD: 0.34, 95% CI: 0.04-0.64), neutrophil-to-lymphocyte ratio (SMD: 0.52, 95% CI: 0.24-0.79), aspartate aminotransferase (SMD: 0.70, 95% CI: 0.45-0.94), shorter disease duration (SMD: -0.44, 95% CI: -0.67 to -0.21), rapidly progressive ILD (RR: 4.08, 95% CI: 3.01-5.54), fever (RR: 1.98, 95% CI: 1.46-2.69), dyspnoea (RR: 1.63, 95% CI: 1.32-2.02), and anti-Ro52 antibody positive (RR: 1.28, 95% CI: 1.11-1.49). Female (RR: 0.86, 95% CI: 0.78-0.94), increased albumin (SMD: -1.20, 95% CI: -1.76 to -0.64), lymphocyte (SMD: -0.49, 95% CI: -0.67 to -0.30), and arthralgia (RR: 0.53, 95% CI: 0.37-0.78) were protective factors. CONCLUSION: Older age, shorter disease duration, rapidly progressive ILD, fever, dyspnoea, anti-Ro52 antibody positive, and some inflammatory markers were risk factors for death in patients with anti-melanoma differentiation-associated protein-5-positive dermatomyositis-associated ILD.

Can inspiratory muscle training benefit patients with COVID-19? A systematic review and meta-analysis.

The possible benefits of inspiratory muscle training (IMT) on mechanical and clinical outcomes in patients with Coronavirus disease-2019 (COVID-19) remain controversial. We conducted a meta-analysis to evaluate the effect of IMT in the rehabilitation strategy of patients with COVID-19. The Pubmed, Embase, Web of Science (WOS), and Cochrane Central Register of Controlled Trials (CENTRAL) were searched to identify trials evaluating the efficacy of IMT in the treatment of patients with COVID-19. The primary outcome included change from baseline of VO2 max, maximal inspiratory pressure (PImax), 6-min walk test(6MWT), forced expiratory volume in the first second predicted (FEV1%pred), and quality of life (QOL). Six studies with 349 participants were analyzed. Significant improvements were found in change from baseline of VO2 max (MD: 4.54, 95% confidence interval [CI]: 1.79-7.30, Z = 3. 32, I2 = 0, p = 0.001), PImax (MD: 21.43, 95% CI: 1.33-41.52, Z = 2.09, I2 = 90%, p = 0.04), 6MWD (MD: 40.13, 95% CI: 24.92-55.35, Z = 5.17, I2 = 0, p < 0.00001) and FEV1%pred (MD: 8.73, 95% CI 3.07-14.39, Z = 3.02, p = 0.002) while no statistical improvements were found in QOL (SMD: 0.70, 95% CI: 0.37-1.03, Z = 4.15, I2 = 89% p = 0.32) between IMT group and control group. The application of IMT might elicit mechanical and clinical improvement in patients with COVID-19. IMT could be recommended as an effective strategy of pulmonary rehabilitation for COVID-19. However, the proper timing, optimal duration, as well as appropriate frequency and intensity of IMT remain uncertain and further studies are needed.

Effect and safety of mesenchymal stem cells for patients with COVID-19: Systematic review and meta-analysis with trial sequential analysis.

The objective of this study was to assess whether mesenchymal stem cells (MSCs) therapy could offer survival advantages for patients with novel coronavirus disease 2019 (COVID-19). An electronic search of PubMed, Embase, Cochrane Library, Web of Science, WanFang, and CNKI was performed from December 1, 2019 to December 25, 2022. The primary outcome was all-cause mortality. Trial sequential analysis (TSA) was conducted in this meta analysis. Besides, subgroup analysis and meta-regression was performed using a random-effects model to find the potential sources of heterogeneity. Seventeen randomized controlled trials (RCTs) involving a total of 1073 patients with COVID-19 were included in this study. Compared with the control group, patients in the MSCs groups were associated with significantly reduced all-cause mortality (MSCs 18.4% vs. control 25.5%; risk ratio [RR] 0.73; 95% confidence interval [CI] 0.59-0.90; p = 0.004; I² = 0%). For all secondary outcomes, there wasn't significant improvement in the experimental group versus the control group regarding symptom remission rate (53.2%, 201/378 vs. 46.5%, 164/353; RR 1.15; 95% CI 1.00-1.32; p = 0.05; I² = 43%), but the pooled analysis revealed significant differences between the groups in length of hospital stay (MD: -3.82, 95% CI: -5.87 to -1.77; p = 0.0003, I2 = 0%), requirement of invasive mechanical ventilation (RR 0.52; 95% CI 0.33-0.82; p = 0.005; I2 = 0%) and post-CRP level (MD: -31.61; 95% CI -46.74 to -16.49; p < 0.0001). Moreover, regarding the incidence of adverse events (AEs) (RR 0.73; 95% CI 0.35-1.52; p = 0.39; I² = 44%) and serious adverse events (sAEs) (RR 0.87; 95% CI 0.40-1.92; p = 0.73; I² = 39%), no significant differences were observed between MSCs and control groups. The TSA analysis showed that the result of all-cause mortality might be false-positive result. Based on the pooled results in this study, compared with standard treatment, MSCs therapy may reduce all-cause mortality of patients with COVID-19 with no increase risk of AEs and sAEs, but may not improve symptom remission rate. Further more high-quality and large-sample RCTs should be performed to confirm these findings.

Clinical characteristics and factors for serious outcomes among outpatients infected with the Omicron subvariant BF.7.

To evaluate clinical characteristics and identify risk factors associated with severe outcomes in outpatients infected with the Omicron subvariant BF.7, data were collected from outpatients diagnosed with Corona Virus Disease 2019 from December 19, 2022 to January 5, 2023. Clinical characteristics were analyzed using descriptive statistics. Univariate and multivariate logistic regression analyses were conducted to identify factors associated with serious outcomes. Variables with a p < 0.10 in the univariate analysis were included in the multivariate model. Our study analyzed 770 patients, of whom 380 (49.4%) were male, with a median age of 59. The most common symptoms reported were cough (71.2%), fever (64.7%), and sore throat (37.7%). Fever lasted an average of 5.93 ± 3.37 days for the general population and 10.64 ± 7.12 days for impaired-immunity patients. Most cases were mild (68.7%), followed by moderate (27.1%). Severe cases accounted for 2.2%, with 0.5% critically ill. Serious outcomes occurred in 4.2% of cases, with 11 deaths during follow-up. Underlying-diseases patients had a higher rate of serious outcomes. Factors associated with serious outcomes included receiving a three-dose vaccination (odds ratio [OR] = 0.324, 95% confidence interval [CI]: 0.113-0.932, p = 0.037), male gender (OR = 2.890, 95% CI: 1.107-7.548, p = 0.030), age (OR = 1.060, 95% CI: 1.024-1.097, p = 0.001), and chest tightness or dyspnea at the time of visit (OR = 4.861, 95% CI: 2.054-11.507, p < 0.001). Our study found that cough, fever, and sore throat were the most common symptoms reported by patients. Receiving a three-dose vaccination was protective, while male gender, age, and chest tightness or dyspnea were identified as risk factors for serious outcomes.

Oral azvudine for mild-to-moderate COVID-19 in high risk, nonhospitalized adults: Results of a real-world study.

Azvudine is recommended by Chinese health authorities for COVID-19 treatment but has not been tested in real-world clinical studies. This study aimed to evaluate the real-world effectiveness of Azvudine among COVID-19 nonhospitalized patients. This was a retrospective cohort study, looking at nonhospitalized patients who tested positive for SARS-CoV-2. Patients admitted between December 19, 2022 and January 5, 2023 were included. Those who received Azvudine treatment were in the Azvudine group, while those who received supportive treatment were the control group. The primary outcome was the disease progression rate by Day 28. Secondary outcomes were individual disease progression outcomes (death or COVID-19-related hospitalization) and duration of fever. The safety outcomes were assessed based on adverse events (AEs) overall, as well as AEs that were considered to be related to the drug. A total of 804 patients with high risk for progression were enrolled in our study. Among them, 317 (39.43%) received treatment with Azvudine. Our study found that Azvudine could reduce the rate of disease progression, as well as rate of COVID-19-related hospitalization in patients comparing the control group. Furthermore, if taken within 3 days of the onset of symptoms, it could also shorten the duration of fever. Despite a higher incidence of drug-related AEs compared to supportive treatment, the majority of these were mild. Azvudine has been found to be effective in reducing the rate of disease progression of COVID-19, albeit with a slight increase in AEs.

Pemetrexed long-term maintenance therapy for advanced severe lung cancer with long-term progression-free survival: a case report.

It is relatively rare to achieve a median progression-free survival (PFS) of 40 months with pemetrexed monotherapy maintenance, especially in patients with advanced and severe lung cancer. Here, we reported a case of advanced severe lung adenocarcinoma treated with pemetrexed monotherapy maintenance achieving long survival with a median PFS of 46 months. A 52-year-old female diagnosed with stage IV lung adenocarcinoma was tested for no targeted drug benefit in the driver gene. The patient was financially disadvantaged and could not afford and refused immune checkpoint inhibitor drugs but was in the favor of platinum-based double-drug chemotherapy. After six cycles of effective administration of cisplatin in combination with pemetrexed, pemetrexed monotherapy was given for long-term maintenance treatment to date, with a median PFS of 46 months, with a treatment effect close to complete response and tolerable side effects.

Psittacosis caused severe community-acquired pneumonia accompanied by acute hypoxic respiratory failure: a multicenter retrospective cohort study from China.

INTRODUCTION: Psittacosis can cause severe community-acquired pneumonia (CAP). The clinical manifestations of psittacosis range from subclinical to fulminant psittacosis with multi-organ failure. It is essential to summarize the clinical characteristic of patients with severe psittacosis accompanied by acute hypoxic respiratory failure (AHRF). METHODS: This retrospective study included patients with severe psittacosis caused CAP accompanied by AHRF from 19 tertiary hospitals of China. We recorded the clinical data, antimicrobial therapy, respiratory support, complications, and outcomes. Chlamydia psittaci was detected on the basis of metagenomic next-generation sequencing performed on bronchoalveolar lavage fluid samples. Patient outcomes were compared between the treatment methods. RESULTS: This study included 45 patients with severe CAP and AHRF caused by psittacosis from April 2018 to May 2021. The highest incidence of these infections was between September and April. There was a history of poultry contact in 64.4% of the patients. The median PaO2/FiO2 of the patients was 119.8 (interquartile range, 73.2 to 183.6) mmHg. Four of 45 patients (8.9%) died in the ICU, and the median ICU duration was 12 days (interquartile range, 8 to 21) days. There were no significant differences between patients treated with fluoroquinolone initially and continued after the diagnosis, fluoroquinolone initially followed by tetracycline, and fluoroquinolone combined with tetracycline. CONCLUSION: Psittacosis caused severe CAP seems not rare, especially in the patients with the history of exposure to poultry or birds. Empirical treatment that covers atypical pathogens may benefit such patients, which fluoroquinolones might be considered as an alternative.

Evaluation of an innovative mHealth-based integrated modality for smoking cessation in Chinese smokers: protocol for a randomized controlled trial.

BACKGROUND AND AIMS: Developing accessible, affordable, and effective approaches to smoking cessation is crucial for tobacco control. Mobile health (mHealth) based interventions have the potential to aid smokers in quitting, and integrating treatments from multiple sources may further enhance their accessibility and effectiveness. As part of our efforts in smoking cessation, we developed a novel behavioral intervention delivery modality for smoking cessation that integrated three interventions using the WeChat app, called the "Way to Quit" modality (WQ modality). It is presented here the protocol for a randomized controlled trial evaluating the effectiveness, feasibility, and cost-effectiveness of the WQ modality in Chinese smokers. METHODS: Eligible participants (n = 460) will be recruited via online advertisement in Beijing, China. They will be randomly assigned to receive either quitline-based treatment (QT, n = 230) or WQ modality-based treatment (WQ, n = 230) using a block randomization method. Participants in the QT group will receive telephone-assisted treatment over a four-week period (multi-call quitline protocol), while those in the WQ group will receive integrated interventions based on the WQ modality for four weeks. A four-week supply of nicotine replacement therapy (gums) will be provided to all participants. Participants will be asked to complete phone or online follow-up at 1, 3, 6, and 12-months. At 1-month follow-up, individuals with self-reported smoking abstinence for more than 7 days will be invited to receive an exhaled carbon monoxide (CO) test for biochemical validation. The primary aim is to determine whether the WQ modality is effective in assisting smokers in quitting smoking. The secondary aims are to evaluate the acceptability, satisfaction, and cost-effectiveness of the WQ modality. DISCUSSION: If the WQ modality is determined to be effective, acceptable, and affordable, it will be relatively easy to reach and provide professional cessation treatments to the communities, thus helping to reduce the disparities in smoking cessation services between different regions and socioeconomic groups. TRIAL REGISTRATION: Chinese Clinical Trial Registry: ChiCTR2200066427, Registered December 5, 2022.

Characteristics and prognostic implications of peripheral blood lymphocyte subsets in patients with anti-MDA5 antibody positive dermatomyositis-interstitial lung disease.

OBJECTIVES: To examine the characteristics of blood lymphocyte subsets in dermatomyositis-interstitial lung disease (DM-ILD) inflicted patients with positive anti-melanoma differentiation-associated gene 5 (anti-MDA5), as well as its prognosis value in this set of patients. METHODS: Data were retrospectively collected from 253 DM-ILD patients from three hospitals in China between January 2016 to January 2021. Patients were grouped into anti-MDA5 antibody positive group (MDA5+ DM-ILD) and anti-MDA5 antibody negative group (MDA5- DM-ILD) based on myositis-specific autoantibody test results. Demographic characteristics, lymphocyte subsets patterns and other clinical features were compared between the two groups. The association of lymphocyte subsets with 180-day mortality was investigated using survival analysis in MDA5+ DM-ILD. RESULTS: Out of 253 eligible patients with DM-ILD, 59 patients were anti-MDA5+ and 194 were anti-MDA5-. Peripheral blood lymphocyte count, CD3+ count, percentage of CD3+, CD3+CD4+ count, and CD3+CD8+ count was lower in MDA5+ DM-ILD than in MDA5- DM-ILD- (all P < 0.001) as well as CD3-CD19+ count (P = 0.04). In MDA5+ DM-ILD, CD3+CD8+ count ≤ 49.22 cell/µL (HR = 3.81, 95%CI [1.20,12.14]) and CD3-CD19+ count ≤ 137.64 cell/µL (HR = 3.43, 95%CI [1.15,10.24]) were independent predictors of mortality. CD3+CD8+ count ≤ 31.38 cell/µL was associated with a higher mortality risk in all DM-ILD patients (HR = 8.6, 95%CI [2.12,31.44]) after adjusting for anti-MDA5 and other clinical characteristics. CONCLUSION: Significant lymphocytes decrease was observed in MDA5+ DM-ILD patients. CD3+CD8+ cell count was associated with worse prognosis in both MDA5+ DM-ILD and all DM-ILD patients.

Air pollution and hospitalization of patients with idiopathic pulmonary fibrosis in Beijing: a time-series study.

BACKGROUND: A small number of studies suggested that air pollution was associated with idiopathic pulmonary fibrosis (IPF) exacerbation, incidence and mortality. However, no studies to date were conducted in regions where air pollution is substantial. We aimed to investigate whether there are associations between acute increases in air pollution and hospitalization of patients with a confirmed primary diagnosis of IPF in Beijing. METHODS: Daily count of IPF hospitalizations (International Classification of Disease-10th Revision, J84.1) was obtained from an administrative database for 2013-2017 while daily city-wide average concentrations of PM10, PM2.5, NO2, Ozone, SO2 were obtained from 35 municipal monitoring stations for the same period. The association between daily IPF hospitalization and average concentration of each pollutant was analyzed with a generalized additive model estimating Poisson distribution. RESULTS: Daily 24-h mean PM2.5 concentration during 2013-2017 was 76.7 µg/m3. The relative risk (RR) of IPF hospitalization per interquartile range (IQR) higher (72 µg/m3) in PM2.5 was 1.049 (95% CI 1.024-1.074) and 1.031 (95% CI 1.007-1.056) for lag0 and moving averages 0-1 days respectively. No significant associations were observed for other lags. Statistically significant positive associations were also observed at lag0 with SO2, Ozone and NO2 (in men only). Positive associations were seen at moving averages 0-30 days for PM10 (RR per 86 µg/m3: 1.021, 95% CI 0.994-1.049), NO2 (RR per 30 µg/m3: 1.029, 95% CI 0.999-1.060), and SO2 (RR per 15 µg/m3: 1.060 (95% CI 1.025-1.097), but not with PM2.5 or Ozone. CONCLUSIONS: Despite improvement in air quality since the implementation of clean air policy in 2013, acute exposure to higher levels of air pollution is significantly associated with IPF hospitalization in Beijing. Air quality policy should be continuously enforced to protect vulnerable IPF populations as well as the general public.

Revolutionizing Membrane Design Using Machine Learning-Bayesian Optimization.

Polymeric membrane design is a multidimensional process involving selection of membrane materials and optimization of fabrication conditions from an infinite candidate space. It is impossible to explore the entire space by trial-and-error experimentation. Here, we present a membrane design strategy utilizing machine learning-based Bayesian optimization to precisely identify the optimal combinations of unexplored monomers and their fabrication conditions from an infinite space. We developed ML models to accurately predict water permeability and salt rejection from membrane monomer types (represented by the Morgan fingerprint) and fabrication conditions. We applied Bayesian optimization on the built ML model to inversely identify sets of monomer/fabrication condition combinations with the potential to break the upper bound for water/salt selectivity and permeability. We fabricated eight membranes under the identified combinations and found that they exceeded the present upper bound. Our findings demonstrate that ML-based Bayesian optimization represents a paradigm shift for next-generation separation membrane design.