Long-COVID is Associated with Impaired Red Blood Cell Function.

COVID-19 disease, caused by the severe acute respiratory syndrome virus 2 (SARS-CoV-2), induces a broad spectrum of clinical symptoms ranging from asymptomatic cases to fatal outcomes. About 10-35% of all COVID-19 patients, even those with mild COVID-19 symptoms, continue to show symptoms, i. e., fatigue, shortness of breath, cough, and cognitive dysfunction, after initial recovery. Previously, we and others identified red blood cell precursors as a direct target of SARS-CoV-2 and suggested that SARS-CoV-2 induces dysregulation in hemoglobin- and iron-metabolism contributing to the severe systemic course of COVID-19. Here, we put particular emphasis on differences in parameters of clinical blood gas analysis and hematological parameters of more than 20 healthy and Long-COVID patients, respectively. Long-COVID patients showed impaired oxygen binding to hemoglobin with concomitant increase in carbon monoxide binding. Hand in hand with decreased plasma iron concentration and transferrin saturation, mean corpuscular hemoglobin was elevated in Long-COVID patients compared to healthy donors suggesting a potential compensatory mechanism. Although blood pH was within the physiological range in both groups, base excess- and bicarbonate values were significantly lower in Long-COVID patients. Furthermore, Long-COVID patients displayed reduced lymphocyte levels. The clinical relevance of these findings, e. g., as a cause of chronic immunodeficiency, remains to be investigated in future studies. In conclusion, our data suggest impaired erythrocyte functionality in Long-COVID patients, leading to diminished oxygen supply. This in turn could be an explanation for the CFS, dyspnea and anemia. Further investigations are necessary to identify the underlying pathomechanisms.

Epidemiology and risk factors of community-acquired pneumonia in patients with different causes of immunosuppression.

Immunosuppression constitutes a significant risk for community-acquired pneumonia (CAP). Nevertheless, specific causes of immunosuppression and their relevance for incidence, etiology and prognosis of CAP are insufficiently investigated.We conducted a population-based cohort study within a statutory health insurance in Germany from 2015 to 2018. CAP was retrieved by ICD-10-GM codes. Episodes of immunosuppression were identified by coded conditions (hematologic neoplasms, stem cell or organ transplantation, neutropenia, HIV, primary immunosuppressive syndromes) or treatments (immunosuppressants, antineoplastic drugs, systemic steroids). Endpoints were defined as occurrence of CAP (primary), hospitalization, 30-day mortality and CAP associated with rare pathogens. Our analysis utilized the Andersen-Gill model adjusted for sex, age, level of long-term care, vaccination status, community type and comorbidities.942,008 individuals with 54,781 CAPs were included (hospitalization 55%, 30-day mortality 14.5%). 6% of individuals showed at least one episode of immunosuppression during the study period with systemic steroids (39.8%) and hematologic neoplasms (26.7%) being most common. Immunosuppression was recorded in 7.7% of CAPs. Besides classical risk factors such as age and level of long-term care, immunosuppressed patients were most prone to CAP (HR 2.4[2.3-2.5]) and consecutive death (HR 1.9[1.8-2.1]). Organ and stem cell transplantation (HR 3.2[2.6-4.0] and 2.8[2.1-3.7], respectively), HIV (HR 3.2[1.9-5.4]) and systemic steroids (> 20 mg prednisone daily dose equivalent (HR 2.7[2.4-3.1])) showed the highest risk for contracting CAP. CAP by rare pathogens was strongly associated with immunosuppression (HR 17.1[12.0-24.5]), especially HIV (HR 34.1[7.6-153]) and systemic steroids (HR 8.2[4.6-14.8]).Our study elucidates the relevance of particular immunosuppressive conditions including systemic steroids for occurrence and prognosis of CAP.

Validation of risk scores for prediction of severe pneumonia in kidney transplant recipients hospitalized with community-acquired pneumonia.

PURPOSE: Risk scores for community-acquired pneumonia (CAP) are widely used for standardized assessment in immunocompetent patients and to identify patients at risk for severe pneumonia and death. In immunocompromised patients, the prognostic value of pneumonia-specific risk scores seems to be reduced, but evidence is limited. The value of different pneumonia risk scores in kidney transplant recipients (KTR) is not known. METHODS: Therefore, we retrospectively analyzed 310 first CAP episodes after kidney transplantation in 310 KTR. We assessed clinical outcomes and validated eight different risk scores (CRB-65, CURB-65, DS-CRB-65, qSOFA, SOFA, PSI, IDSA/ATS minor criteria, NEWS-2) for the prognosis of severe pneumonia and in-hospital mortality. Risk scores were assessed up to 48 h after admission, but always before an endpoint occurred. Multiple imputation was performed to handle missing values. RESULTS: In total, 16 out of 310 patients (5.2%) died, and 48 (15.5%) developed severe pneumonia. Based on ROC analysis, sequential organ failure assessment (SOFA) and national early warning score 2 (NEWS-2) performed best, predicting severe pneumonia with AUC of 0.823 (0.747-0.880) and 0.784 (0.691-0.855), respectively. CONCLUSION: SOFA and NEWS-2 are best suited to identify KTR at risk for the development of severe CAP. In contrast to immunocompetent patients, CRB-65 should not be used to guide outpatient treatment in KTR, since there is a 7% risk for the development of severe pneumonia even in patients with a score of zero.

Unmet needs in pneumonia research: a comprehensive approach by the CAPNETZ study group.

INTRODUCTION: Despite improvements in medical science and public health, mortality of community-acquired pneumonia (CAP) has barely changed throughout the last 15 years. The current SARS-CoV-2 pandemic has once again highlighted the central importance of acute respiratory infections to human health. The "network of excellence on Community Acquired Pneumonia" (CAPNETZ) hosts the most comprehensive CAP database worldwide including more than 12,000 patients. CAPNETZ connects physicians, microbiologists, virologists, epidemiologists, and computer scientists throughout Europe. Our aim was to summarize the current situation in CAP research and identify the most pressing unmet needs in CAP research. METHODS: To identify areas of future CAP research, CAPNETZ followed a multiple-step procedure. First, research members of CAPNETZ were individually asked to identify unmet needs. Second, the top 100 experts in the field of CAP research were asked for their insights about the unmet needs in CAP (Delphi approach). Third, internal and external experts discussed unmet needs in CAP at a scientific retreat. RESULTS: Eleven topics for future CAP research were identified: detection of causative pathogens, next generation sequencing for antimicrobial treatment guidance, imaging diagnostics, biomarkers, risk stratification, antiviral and antibiotic treatment, adjunctive therapy, vaccines and prevention, systemic and local immune response, comorbidities, and long-term cardio-vascular complications. CONCLUSION: Pneumonia is a complex disease where the interplay between pathogens, immune system and comorbidities not only impose an immediate risk of mortality but also affect the patients' risk of developing comorbidities as well as mortality for up to a decade after pneumonia has resolved. Our review of unmet needs in CAP research has shown that there are still major shortcomings in our knowledge of CAP.

Early post-discharge mortality in CAP: frequency, risk factors and a prediction tool.

There are few data on mortality after discharge with community-acquired pneumonia (CAP). Therefore, we evaluated risk factors for 30-day post-discharge mortality after CAP. We included all patients of the prospective multi-national CAPNETZ study between 2002 and 2018 with (1) hospitalized CAP, (2) survival until discharge, and (3) complete follow-up data. The study endpoint was death within 30 days after discharge. We evaluated risk factors including demographics, comorbidities, admission CAP severity, and laboratory values and treatment-related factors in uni- and multivariable analyses. A total of 126 (1.6%) of 7882 included patients died until day 30 after discharge, corresponding to 26% of all 476 deaths. After multivariable analysis, we identified 10 independent risk factors: higher age, lower BMI, presence of diabetes mellitus, chronic renal or chronic neurological disease (other than cerebrovascular diseases), low body temperature or higher thrombocytes on admission, extended length of hospitalization, oxygen therapy during hospitalization, and post-obstructive pneumonia. By addition these factors, we calculated a risk score with an AUC of 0.831 (95%CI 0.822-0.839, p < 0.001) for prediction of post-discharge mortality. Early post-discharge deaths account for » of all CAP-associated deaths and are associated with patient- and CAP-severity-related risk factors. Additional studies are necessary to replicate our findings in independent cohorts. Study registration: NCT02139163.

Risk Assessment for Patients with Chronic Respiratory Conditions in the Context of the SARS-CoV-2 Pandemic Statement of the German Respiratory Society with the Support of the German Association of Chest Physicians.

Assessing the risk for specific patient groups to suffer from severe courses of COVID-19 is of major importance in the current SARS-CoV-2 pandemic. This review focusses on the risk for specific patient groups with chronic respiratory conditions, such as patients with asthma, chronic obstructive pulmonary disease, cystic fibrosis (CF), sarcoidosis, interstitial lung diseases, lung cancer, sleep apnea, tuberculosis, neuromuscular diseases, a history of pulmonary embolism, and patients with lung transplants. Evidence and recommendations are detailed in exemplary cases. While some patient groups with chronic respiratory conditions have an increased risk for severe courses of COVID-19, an increasing number of studies confirm that asthma is not a risk factor for severe COVID-19. However, other risk factors such as higher age, obesity, male gender, diabetes, cardiovascular diseases, chronic kidney or liver disease, cerebrovascular and neurological disease, and various immunodeficiencies or treatments with immunosuppressants need to be taken into account when assessing the risk for severe COVID-19 in patients with chronic respiratory diseases.

Prognostic value of blood pressure drops during the first 24 h after hospital admission for risk stratification of community-acquired pneumonia: a retrospective cohort study.

OBJECTIVES: Current risk stratification in community-acquired pneumonia (CAP) does not incorporate the dynamic nature of CAP evolution. Study aim was to evaluate the predictive value of early blood pressure (BP) drop and its consideration within the CRB-65 score. METHODS: We performed a retrospective cohort study including consecutive adult hospitalized CAP patients 2013-2014 without documented treatment limitations or direct ICU admission. The CRB-65 score was calculated initially and re-calculated including any BP below the threshold (BP drop) within the first 24 h (CRB-65[BP24]). The primary endpoint was need for mechanical ventilation or vasopressors (MVVS) occurring after 24 h. Prognostic values were evaluated by uni- and multivariate and ROC curve analyses. RESULTS: 28/294 patients (9.5%) met the primary endpoint. Only 3 (11%) of them showed an initial BP of < 90 mmHg systolic or ≤ 60 mmHg diastolic, but 21 (75%) developed a BP drop within the first 24 h. 24/178 (13%) with and only 4/116 (3%) without any low BP during the first 24 h needed MVVS (p = 0.004). After multivariate analysis, the predictive value of BP drop was independent of other score parameters and biomarkers (all p < 0.01). In ROC analysis, the new CRB-65(BP24) showed a better prediction than the CRB-65 score (AUC 0.69 vs. 0.62, p = 0.04). 7/13 patients (54%) with MVVS despite an admission CRB-65 of 0 or 1 showed a BP drop. CONCLUSIONS: In the evaluated cohort, BP drop within the first 24 h was significantly associated with more need for MVVS in CAP, and its consideration improved the prognostic value of the CRB-65 score.

Impact of the 13-Valent Pneumococcal Conjugate Vaccine on the Incidence of All-cause Pneumonia in Adults Aged ≥60 Years: A Population-based, Retrospective Cohort Study.

In this population-based study evaluating the effectiveness of the 13-valent pneumococcal conjugate vaccine (2012-2016) to prevent all-cause pneumonia in adults ≥60 years of age, we found significant, 0.63% absolute risk and 11.9% relative risk reductions on the 3-year (2014-2016) cumulative incidences of all-cause pneumonia after vaccination.

Macrolide combination therapy for patients hospitalised with community-acquired pneumonia? An individualised approach supported by machine learning.

BACKGROUND: The role of macrolide/ß-lactam combination therapy in community-acquired pneumonia (CAP) of moderate severity is a matter of debate. Macrolides expand the coverage to atypical pathogens and attenuate pulmonary inflammation, but have been associated with cardiovascular toxicity and drug interactions. We developed a decision tree based on aetiological and clinical parameters, which are available ex ante to support a personalised decision for or against macrolides for the best clinical outcome of the individual patient. METHODS: We employed machine learning in a cross-validation scheme based on a well-balanced selection of 4898 patients after propensity score matching to data available on admission of 6440 hospitalised patients with moderate severity (non-intensive care unit patients) from the observational, prospective, multinational CAPNETZ study. We aimed to improve the primary outcome of 180-day survival. RESULTS: We found a simple decision tree of patient characteristics comprising chronic cardiovascular and chronic respiratory comorbidities as well as leukocyte counts in the respiratory secretion at enrolment. Specifically, we found that patients without cardiovascular or patients with respiratory comorbidities and high leukocyte counts in the respiratory secretion benefit from macrolide treatment. Patients identified to be treated in compliance with our treatment suggestion had a lower mortality of 27% (OR 1.83, 95% CI 1.48-2.27; p<0.001) compared to the observed standard of care. CONCLUSION: Stratifying macrolide treatment in patients following a simple treatment rule may lead to considerably reduced mortality in CAP. A future randomised controlled trial confirming our result is necessary before implementing this rule into the clinical routine.

Severity Assessment and the Immediate and Long-Term Prognosis in Community-Acquired Pneumonia.

Severity assessment is a crucial step in the initial management of patients with community-acquired pneumonia (CAP). While approximately half of patients are at low risk of death and can be safely treated as outpatients, around 20% are at increased risk. While CURB-65 (confusion, respiratory rate, blood pressure, urea) and pneumonia severity index (PSI) scores are equally useful as an adjunct to clinical judgment to identify patients at low risk, the so-called minor American Thoracic Society/Infectious Diseases Society of America criteria are predictive of patients in need of intensified treatment (i.e., mechanical ventilation and/or vasopressor treatment). Such patients represent medical emergencies. In elderly patients, CRB-65 (confusion, respiratory rate, blood pressure, age) is no longer predictive of low risk; instead, poor functional status is the best predictor of death. In addition to scores, assessment of oxygenation and unstable comorbidity, as well as lactate and biomarkers remain important to consider. The added value of combined clinical and biomarker risk stratification strategies should be evaluated in large prospective interventional trials.Survivors of hospitalized CAP have a considerable excess long-term mortality. Risk factors include age, male gender, and nursing home residency, as well as increased PSI and CURB-65 scores. Cardiovascular, pulmonary, renal, and neoplastic comorbidities are prominent causes of long-term mortality. Comorbidities are vulnerable to both the acute and chronic subclinical inflammatory challenge delivered by pulmonary infection and are thereby drivers of mortality. Biomarkers are promising in identifying patients at increased risk of long-term mortality. Future studies should develop consistent strategies of risk stratification and intervention to improve long-term outcomes of patients with CAP.

Community-acquired pneumonia as medical emergency: predictors of early deterioration.

BACKGROUND: Early organ dysfunction determines the prognosis of community-acquired pneumonia (CAP), and recognition of CAP as a medical emergency has been advocated. OBJECTIVE: To characterise patients with 'emergency CAP' and evaluate predictors for very early organ failure or death. METHODS: 3427 prospectively enrolled patients of the CAPNETZ cohort were included. Emergency CAP was defined as requirement for mechanical ventilation or vasopressor support (MV/VS) or death within 72 h and 7 days after hospital admission, respectively. To determine independent predictors, multivariate Cox regression was employed. The ATS/IDSA 2007 minor criteria were evaluated for prediction of emergency CAP in patients without immediate need of MV/VS. RESULTS: 140 (4%) and 173 (5%) patients presented with emergency CAP within 3 and 7 days, respectively. Hospital mortality of patients presenting without immediate need of MV/VS was highest. Independent predictors of emergency CAP were the presence of focal chest signs, home oxygen therapy, multilobar infiltrates, altered mental status and altered vital signs (hypotension, raised respiratory or heart rate, hypothermia). The ATS/IDSA 2007 minor criteria showed a high sensitivity and negative predictive value, whereas the positive predictive value was low. Reduction to 6 minor criteria did not alter accuracy. CONCLUSIONS: Emergency CAP is a rare but prognostic relevant condition, mortality is highest in patients presenting without immediate need of MV/VS. Vital sign abnormalities and parameters indicating acute organ dysfunction are independent predictors, and the ATS/IDSA 2007 minor criteria show a high negative predictive value.

MR-proADM Predicts Exercise Capacity and Survival Superior to Other Biomarkers in PH.

PURPOSE: Besides the established biomarker NT-proBNP, the new cardiovascular biomarkers MR-proANP, MR-proADM, Copeptin, and CT-proET-1 are promising to evaluate hemodynamics, exercise parameters, and prognosis in patients with pulmonary hypertension (PH). METHODS: 125 consecutive patients with pulmonary arterial hypertension (PAH) or chronic thromboembolic pulmonary hypertension (CTEPH) were prospectively enrolled at five German PH centers. Blood samples were taken during right heart catheterization. The primary study endpoint was the correlation between biomarkers and hemodynamic and exercise parameters. As secondary endpoint, prediction of 1-year mortality was evaluated. RESULTS: MR-proADM showed the strongest correlations with 6MWD and VO2peak, whereas NT-proBNP showed the strongest correlations with PVR, PAPm, and CI. In multivariate analysis, only MR-proADM was independently associated with exercise variables, whereas only NT-proBNP independently predicted hemodynamic parameters. All biomarkers were associated with 1-year survival, with MR-proADM showing the highest C index of 0.78. In multivariate analysis, MR-proADM predicted survival independent of age, 6-MWD, CI, RAP, and NT-proBNP. The cut-off of 1.08 nmol/l provided a sensitivity of 83 % and specificity of 66 %. CONCLUSIONS: Different biomarkers reflect distinctive disease aspects in PH. NT-proBNP best predicts hemodynamic impairment while MR-proADM strongly correlates with exercise capacity. Additionally, MR-proADM represents a promising new marker to evaluate prognosis in patients with PAH and CTEPH. Multi-marker strategies should further be evaluated.

Management-based risk prediction in community-acquired pneumonia by scores and biomarkers.

Community-acquired pneumonia (CAP) represents a major life-threatening infection, but disease course and outcome is highly variable. Major drivers of prognosis are respiratory failure, sepsis-related organ dysfunction and unstable comorbidities. Current risk stratification tools have been primarily designed to predict mortality and identify low risk patients potentially suitable for ambulatory management. Detection of patients at high risk for clinical deterioration by current scores remains suboptimal. Therefore, management-related risk stratification tools designed to predict benefit from early intensified monitoring and treatment strategies in hospitalised CAP are advocated. An approach including early and repeatedly evaluated clinical markers of respiratory failure, sepsis-related organ dysfunction or decompensating comorbidity combined with individual definition of treatment goals is suggested. Inflammatory biomarkers can add prognostic information. New cardiovascular or stress-related biomarkers like copeptin, midregional proadrenomedullin and cortisol have been repeatedly linked with outcome and disease course in CAP and improved clinical scoring in observational studies. Thus they represent promising tools for individualised risk stratification. A major task in future CAP research will be the evaluation of their additional value in large interventional trials with control groups incorporating strict management guidance by clinical criteria.

Exercise capacity affects quality of life in patients with pulmonary hypertension.

BACKGROUND: The objective of this prospective study was to evaluate the impact of exercise capacity, mental disorders, and hemodynamics on quality-of-life (QoL) parameters in patients with pulmonary arterial hypertension (PAH) and chronic thromboembolic pulmonary hypertension (CTEPH). METHODS: Sixty-three patients with invasively diagnosed PAH (n = 48) or CTEPH (n = 15) underwent a broad panel of assessments, including cardiopulmonary exercise testing (CPET), 6-minute walking distance (6-MWD), World Health Organization functional class (WHO-FC), and assessment of hemodynamics. QoL was evaluated by the 36-item Medical Outcome Study Short Form Health Survey Questionnaire (SF-36). Exercise capacity, hemodynamics, age, gender, and mental disorders (anxiety and depression) were assessed for association with QoL subscores by uni- and multivariate regression analyses. RESULTS: Exercise capacity, WHO-FC, oxygen therapy, symptoms of right heart failure, right atrial pressure, and mental disorders were significantly associated with QoL (p < 0.05). In the stepwise backward selection multivariate analysis, depression remained an independent parameter in seven of eight subscales of the SF-36. Furthermore, peak oxygen uptake (peakVO2) during CPET, 6-MWD, anxiety, long-term oxygen therapy, right heart failure, and age remained independent factors for QoL. Hemodynamic parameters at rest did not independently correlate with any domain of the SF-36 QoL subscores. CONCLUSIONS: Mental disorders, exercise capacity, long-term oxygen therapy, right heart failure, and age play important role in the quality of life in patients with PAH and CTEPH.

Validation of the qSOFA and CRB-65 in SARS-CoV-2-infected community-acquired pneumonia.

Rationale: Prognostic accuracy of the quick sequential organ failure assessment (qSOFA) and CRB-65 (confusion, respiratory rate, blood pressure and age (≥65 years)) risk scores have not been widely evaluated in patients with SARS-CoV-2-positive compared to SARS-CoV-2-negative community-acquired pneumonia (CAP). The aim of the present study was to validate the qSOFA(-65) and CRB-65 scores in a large cohort of SARS-CoV-2-positive and SARS-CoV-2-negative CAP patients. Methods: We included all cases with CAP hospitalised in 2020 from the German nationwide mandatory quality assurance programme and compared cases with SARS-CoV-2 infection to cases without. We excluded cases with unclear SARS-CoV-2 infection state, transferred to another hospital or on mechanical ventilation during admission. Predefined outcomes were hospital mortality and need for mechanical ventilation. Results: Among 68 594 SARS-CoV-2-positive patients, hospital mortality (22.7%) and mechanical ventilation (14.9%) were significantly higher when compared to 167 880 SARS-CoV-2-negative patients (15.7% and 9.2%, respectively). All CRB-65 and qSOFA criteria were associated with both outcomes, and age dominated mortality prediction in SARS-CoV-2 (risk ratio >9). Scores including the age criterion had higher area under the curve (AUCs) for mortality in SARS-CoV-2-positive patients (e.g. CRB-65 AUC 0.76) compared to SARS-CoV-2 negative patients (AUC 0.68), and negative predictive value was highest for qSOFA-65=0 (98.2%). Sensitivity for mechanical ventilation prediction was poor with all scores (AUCs 0.59-0.62), and negative predictive values were insufficient (qSOFA-65=0 missed 1490 out of 10 198 patients (∼15%) with mechanical ventilation). Results were similar when excluding frail and palliative patients. Conclusions: Hospital mortality and mechanical ventilation rates were higher in SARS-CoV-2-positive than SARS-CoV-2-negative CAP. For SARS-CoV-2-positive CAP, the CRB-65 and qSOFA-65 scores showed adequate prediction of mortality but not of mechanical ventilation.

Bacterial Patterns and Empiric Antibiotic Use in COPD Patients With Community-Acquired Pneumonia.

INTRODUCTION: Chronic obstructive pulmonary disease (COPD) is strongly associated with the development of community-acquired pneumonia (CAP). Limited data are available on risk factors for difficult to manage bacteria such as Pseudomonas aeruginosa in COPD patients with CAP. Our objective was to assess the microbiological patterns associated with risk factors that determine empiric antibiotic therapy in hospitalized COPD patients with CAP. METHODS: We performed a secondary data analysis of an international, multicenter, observational, point-prevalence study involving hospitalized COPD patients with CAP from March to June 2015. After identifying the risk factors associated with different microorganisms, we developed a scoring system to guide decision-making about empiric anti-pseudomonal antibiotic therapy in this population. RESULTS: We enrolled 689 hospitalized COPD patients with CAP with documented microbiological testing. The most frequent microorganisms isolated were Streptococcus pneumoniae (8%) and Gram-negative bacteria (8%), P. aeruginosa (7%) and Haemophilus influenzae (3%). We developed a scoring system incorporating the variables independently associated with P. aeruginosa that include a previous P. aeruginosa isolation or infection (OR 14.2 [95%CI 5.7-35.2]), hospitalization in the past 12 months (OR 3.7 [1.5-9.2]), and bronchiectasis (OR 3.2 [1.4-7.2]). Empiric anti-pseudomonal antibiotics were overutilized in COPD patients with CAP. The new scoring system has the potential to reduce empiric anti-pseudomonal antibiotic use from 54.1% to 6.2%. CONCLUSIONS: COPD patients with CAP present different microbiological profiles associated with unique risk factors. Anti-pseudomonal treatment is a critical decision when selecting empiric antibiotic therapy. We developed a COPD scoring system to guide decision-making about empiric anti-pseudomonal antibiotic therapy.