Pub Date : 2024-07-05DOI: 10.1186/s41479-024-00133-z
Josef Yayan, Karl-Josef Franke, Melanie Berger, Wolfram Windisch, Kurt Rasche
Tuberculosis remains a significant global health challenge. Tuberculosis affects millions of individuals worldwide. Early detection of tuberculosis plays a relevant role in the management of treatment of tuberculosis. This systematic review will analyze the findings of several published studies on the topic of the early detection of tuberculosis. This systematic review highlights their methodologies and limitations as well as their contributions to our understanding of this pressing issue. Early detection of tuberculosis can be achieved through tuberculosis screening for contacts. Comprehensive health education for household contacts can be used as early detection. The in-house deep learning models can be used in the X-ray used for automatic detection of tuberculosis. Interferon gamma release assay, routine passive and active case detection, portable X-ray and nucleic acid amplification testing, and highly sensitive enzyme-linked immunosorbent assay tests play critical roles in improving tuberculosis detection.
结核病仍然是全球健康面临的重大挑战。结核病影响着全球数百万人。结核病的早期发现在结核病的治疗管理中发挥着重要作用。本系统综述将分析已发表的几项关于结核病早期检测主题的研究结果。本系统综述将重点介绍这些研究的方法和局限性,以及它们对我们了解这一紧迫问题所做的贡献。结核病的早期发现可以通过对接触者进行结核病筛查来实现。针对家庭接触者的全面健康教育可作为早期检测手段。内部深度学习模型可用于自动检测结核病的 X 射线。伽马干扰素释放检测、常规被动和主动病例检测、便携式 X 射线和核酸扩增检测以及高灵敏度酶联免疫吸附检测在改进结核病检测方面发挥着至关重要的作用。
{"title":"Early detection of tuberculosis: a systematic review.","authors":"Josef Yayan, Karl-Josef Franke, Melanie Berger, Wolfram Windisch, Kurt Rasche","doi":"10.1186/s41479-024-00133-z","DOIUrl":"10.1186/s41479-024-00133-z","url":null,"abstract":"<p><p>Tuberculosis remains a significant global health challenge. Tuberculosis affects millions of individuals worldwide. Early detection of tuberculosis plays a relevant role in the management of treatment of tuberculosis. This systematic review will analyze the findings of several published studies on the topic of the early detection of tuberculosis. This systematic review highlights their methodologies and limitations as well as their contributions to our understanding of this pressing issue. Early detection of tuberculosis can be achieved through tuberculosis screening for contacts. Comprehensive health education for household contacts can be used as early detection. The in-house deep learning models can be used in the X-ray used for automatic detection of tuberculosis. Interferon gamma release assay, routine passive and active case detection, portable X-ray and nucleic acid amplification testing, and highly sensitive enzyme-linked immunosorbent assay tests play critical roles in improving tuberculosis detection.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":"16 1","pages":"11"},"PeriodicalIF":8.5,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11225244/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141535647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-25DOI: 10.1186/s41479-024-00132-0
Fernando García-García, Dae-Jin Lee, Mónica Nieves-Ermecheo, Olaia Bronte, Pedro Pablo España, José María Quintana, Rosario Menéndez, Antoni Torres, Luis Alberto Ruiz Iturriaga, Isabel Urrutia
<p><strong>Background: </strong>There exists consistent empirical evidence in the literature pointing out ample heterogeneity in terms of the clinical evolution of patients with COVID-19. The identification of specific phenotypes underlying in the population might contribute towards a better understanding and characterization of the different courses of the disease. The aim of this study was to identify distinct clinical phenotypes among hospitalized patients with SARS-CoV-2 pneumonia using machine learning clustering, and to study their association with subsequent clinical outcomes as severity and mortality.</p><p><strong>Methods: </strong>Multicentric observational, prospective, longitudinal, cohort study conducted in four hospitals in Spain. We included adult patients admitted for in-hospital stay due to SARS-CoV-2 pneumonia. We collected a broad spectrum of variables to describe exhaustively each case: patient demographics, comorbidities, symptoms, physiological status, baseline examinations (blood analytics, arterial gas test), etc. For the development and internal validation of the clustering/phenotype models, the dataset was split into training and test sets (50% each). We proposed a sequence of machine learning stages: feature scaling, missing data imputation, reduction of data dimensionality via Kernel Principal Component Analysis (KPCA), and clustering with the k-means algorithm. The optimal cluster model parameters -including k, the number of phenotypes- were chosen automatically, by maximizing the average Silhouette score across the training set.</p><p><strong>Results: </strong>We enrolled 1548 patients, each of them characterized by 92 clinical attributes (d=109 features after variable encoding). Our clustering algorithm identified k=3 distinct phenotypes and 18 strongly informative variables: Phenotype A (788 cases [50.9% prevalence] - age <math><mo>∼</mo></math> 57, Charlson comorbidity <math><mo>∼</mo></math> 1, pneumonia CURB-65 score <math><mo>∼</mo></math> 0 to 1, respiratory rate at admission <math><mo>∼</mo></math> 18 min<sup>-1</sup>, FiO<sub>2</sub> <math><mo>∼</mo></math> 21%, C-reactive protein CRP <math><mo>∼</mo></math> 49.5 mg/dL [median within cluster]); phenotype B (620 cases [40.0%] - age <math><mo>∼</mo></math> 75, Charlson <math><mo>∼</mo></math> 5, CURB-65 <math><mo>∼</mo></math> 1 to 2, respiration <math><mo>∼</mo></math> 20 min<sup>-1</sup>, FiO<sub>2</sub> <math><mo>∼</mo></math> 21%, CRP <math><mo>∼</mo></math> 101.5 mg/dL); and phenotype C (140 cases [9.0%] - age <math><mo>∼</mo></math> 71, Charlson <math><mo>∼</mo></math> 4, CURB-65 <math><mo>∼</mo></math> 0 to 2, respiration <math><mo>∼</mo></math> 30 min<sup>-1</sup>, FiO<sub>2</sub> <math><mo>∼</mo></math> 38%, CRP <math><mo>∼</mo></math> 152.3 mg/dL). Hypothesis testing provided solid statistical evidence supporting an interaction between phenotype and each clinical outcome: severity and mortality. By computing their corresponding odds ratios, a clear t
{"title":"Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality.","authors":"Fernando García-García, Dae-Jin Lee, Mónica Nieves-Ermecheo, Olaia Bronte, Pedro Pablo España, José María Quintana, Rosario Menéndez, Antoni Torres, Luis Alberto Ruiz Iturriaga, Isabel Urrutia","doi":"10.1186/s41479-024-00132-0","DOIUrl":"10.1186/s41479-024-00132-0","url":null,"abstract":"<p><strong>Background: </strong>There exists consistent empirical evidence in the literature pointing out ample heterogeneity in terms of the clinical evolution of patients with COVID-19. The identification of specific phenotypes underlying in the population might contribute towards a better understanding and characterization of the different courses of the disease. The aim of this study was to identify distinct clinical phenotypes among hospitalized patients with SARS-CoV-2 pneumonia using machine learning clustering, and to study their association with subsequent clinical outcomes as severity and mortality.</p><p><strong>Methods: </strong>Multicentric observational, prospective, longitudinal, cohort study conducted in four hospitals in Spain. We included adult patients admitted for in-hospital stay due to SARS-CoV-2 pneumonia. We collected a broad spectrum of variables to describe exhaustively each case: patient demographics, comorbidities, symptoms, physiological status, baseline examinations (blood analytics, arterial gas test), etc. For the development and internal validation of the clustering/phenotype models, the dataset was split into training and test sets (50% each). We proposed a sequence of machine learning stages: feature scaling, missing data imputation, reduction of data dimensionality via Kernel Principal Component Analysis (KPCA), and clustering with the k-means algorithm. The optimal cluster model parameters -including k, the number of phenotypes- were chosen automatically, by maximizing the average Silhouette score across the training set.</p><p><strong>Results: </strong>We enrolled 1548 patients, each of them characterized by 92 clinical attributes (d=109 features after variable encoding). Our clustering algorithm identified k=3 distinct phenotypes and 18 strongly informative variables: Phenotype A (788 cases [50.9% prevalence] - age <math><mo>∼</mo></math> 57, Charlson comorbidity <math><mo>∼</mo></math> 1, pneumonia CURB-65 score <math><mo>∼</mo></math> 0 to 1, respiratory rate at admission <math><mo>∼</mo></math> 18 min<sup>-1</sup>, FiO<sub>2</sub> <math><mo>∼</mo></math> 21%, C-reactive protein CRP <math><mo>∼</mo></math> 49.5 mg/dL [median within cluster]); phenotype B (620 cases [40.0%] - age <math><mo>∼</mo></math> 75, Charlson <math><mo>∼</mo></math> 5, CURB-65 <math><mo>∼</mo></math> 1 to 2, respiration <math><mo>∼</mo></math> 20 min<sup>-1</sup>, FiO<sub>2</sub> <math><mo>∼</mo></math> 21%, CRP <math><mo>∼</mo></math> 101.5 mg/dL); and phenotype C (140 cases [9.0%] - age <math><mo>∼</mo></math> 71, Charlson <math><mo>∼</mo></math> 4, CURB-65 <math><mo>∼</mo></math> 0 to 2, respiration <math><mo>∼</mo></math> 30 min<sup>-1</sup>, FiO<sub>2</sub> <math><mo>∼</mo></math> 38%, CRP <math><mo>∼</mo></math> 152.3 mg/dL). Hypothesis testing provided solid statistical evidence supporting an interaction between phenotype and each clinical outcome: severity and mortality. By computing their corresponding odds ratios, a clear t","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":"16 1","pages":"12"},"PeriodicalIF":8.5,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11637184/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141447271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: The Covid-19 pandemic has caused immense pressure on Intensive Care Units (ICU). In patients with severe ARDS due to Covid-19, respiratory mechanics are important for determining the severity of lung damage. Lung auscultation could not be used during the pandemic despite its merit. The main objective of this study was to investigate associations between lung auscultatory sound features and lung mechanical properties, length of stay (LOS) and survival, in adults with severe Covid-19 ARDS.
Methods: Consecutive patients admitted to a large ICU between 2020 and 2021 (n = 173) were included. Digital stethoscopes obtained auscultatory sounds and stored them in an on-line database for replay and further processing using advanced AI techniques. Correlation and regression analysis explored relationships between digital auscultation findings and lung mechanics or the ICU outcome. The resulting annotated lung sounds database is also publicly available as supplementary material.
Results: The presence of squawks was associated with the ICU LOS, outcome and 90-day mortality. Other features (age, SOFA score & oxygenation index upon admission, minimum crackle entropy) had significant impact on outcome. Additional features affecting the 90-d survival were age and mean crackle entropy. Multivariate logistic regression showed that survival was affected by age, baseline SOFA, baseline oxygenation index and minimum crackle entropy.
Conclusions: Respiratory mechanics were associated with various adventitious sounds, whereas the lung sound analytics and the presence of certain adventitious sounds correlated with the ICU outcome and the 90-d survival. Spectral features of crackles sounds can serve as prognostic factors for survival, highlighting the importance of digital auscultation.
{"title":"Back to the future: the novel art of digital auscultation applied in a prospective observational study of critically ill Covid-19 patients.","authors":"Evangelos Kaimakamis, Serafeim Kotoulas, Myrto Tzimou, Christos Karachristos, Chrysavgi Giannaki, Vassileios Kilintzis, Leandros Stefanopoulos, Evangelos Chatzis, Nikolaos Beredimas, Bruno Rocha, Diogo Pessoa, Rui Pedro Paiva, Nicos Maglaveras, Militsa Bitzani","doi":"10.1186/s41479-024-00131-1","DOIUrl":"10.1186/s41479-024-00131-1","url":null,"abstract":"<p><strong>Background: </strong>The Covid-19 pandemic has caused immense pressure on Intensive Care Units (ICU). In patients with severe ARDS due to Covid-19, respiratory mechanics are important for determining the severity of lung damage. Lung auscultation could not be used during the pandemic despite its merit. The main objective of this study was to investigate associations between lung auscultatory sound features and lung mechanical properties, length of stay (LOS) and survival, in adults with severe Covid-19 ARDS.</p><p><strong>Methods: </strong>Consecutive patients admitted to a large ICU between 2020 and 2021 (n = 173) were included. Digital stethoscopes obtained auscultatory sounds and stored them in an on-line database for replay and further processing using advanced AI techniques. Correlation and regression analysis explored relationships between digital auscultation findings and lung mechanics or the ICU outcome. The resulting annotated lung sounds database is also publicly available as supplementary material.</p><p><strong>Results: </strong>The presence of squawks was associated with the ICU LOS, outcome and 90-day mortality. Other features (age, SOFA score & oxygenation index upon admission, minimum crackle entropy) had significant impact on outcome. Additional features affecting the 90-d survival were age and mean crackle entropy. Multivariate logistic regression showed that survival was affected by age, baseline SOFA, baseline oxygenation index and minimum crackle entropy.</p><p><strong>Conclusions: </strong>Respiratory mechanics were associated with various adventitious sounds, whereas the lung sound analytics and the presence of certain adventitious sounds correlated with the ICU outcome and the 90-d survival. Spectral features of crackles sounds can serve as prognostic factors for survival, highlighting the importance of digital auscultation.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":"16 1","pages":"9"},"PeriodicalIF":6.8,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11151547/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141248817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rationale: The prevalence, clinical characteristics, and outcomes of invasive pulmonary aspergillosis in patients with severe community-acquired pneumonia (CAP) in intensive care units remain underestimated because of the lack of a disease-recognition scheme and the inadequacy of diagnostic tests.
Objectives: To identify the prevalence, risk factors, and outcomes of severe CAP complicated with invasive pulmonary aspergillosis (IPA) in intensive care units (ICUs).
Methods: We conducted a retrospective cohort study including recruited 311 ICU-hospitalized patients with severe CAP without influenza or with influenza. Bronchoalveolar lavage fluid (BALF) samples were from all patients and subjected to mycological testing. Patients were categorized as having proven or probable Aspergillus infection using a modified form of the AspICU algorithm comprising clinical, radiological, and mycological criteria.
Measurements and main results: Of the 252 patients with severe CAP and 59 influenza patients evaluated, 24 met the diagnostic criteria for proven or probable Aspergillus infection in the CAP group and 9 patients in the influenza group, giving estimated prevalence values of 9.5% and 15.3%, respectively. COPD and the use of inhaled corticosteroids were independent risk factors for IPA. IPA in patients with severe CAP was significantly associated with the duration of mechanical support, the length of ICU stay, and the 28-day mortality.
Conclusions: An aggressive diagnostic approach for IPA patients with severe CAP and not only influenza or COVID-19 should be pursued. Further randomized controlled trials need to evaluate the timing, safety, and efficacy of antifungal therapy in reducing IPA incidence and improving clinical outcomes.
理由:由于缺乏疾病识别方案以及诊断测试的不足,重症监护病房重症社区获得性肺炎(CAP)患者中侵袭性肺曲霉菌病的发病率、临床特征和预后仍被低估:目的:确定重症监护病房(ICU)中并发侵袭性肺曲霉菌病(IPA)的重症CAP的发病率、风险因素和预后:我们进行了一项回顾性队列研究,共招募了 311 名重症监护病房住院的重症 CAP 患者,这些患者既没有患流感,也没有患流感。对所有患者的支气管肺泡灌洗液(BALF)样本进行了真菌学检测。采用改良版的 AspICU 算法(包括临床、放射学和霉菌学标准),将患者分为已证实或可能感染曲霉菌:在接受评估的 252 名重症 CAP 患者和 59 名流感患者中,CAP 组有 24 人符合证实或可能感染曲霉菌的诊断标准,流感组有 9 人,估计感染率分别为 9.5% 和 15.3%。慢性阻塞性肺病和吸入皮质类固醇是导致 IPA 的独立风险因素。重症CAP患者的IPA与机械支持的持续时间、重症监护室的住院时间和28天的死亡率有显著相关性:结论:对于患有重症 CAP 的 IPA 患者,应采取积极的诊断方法,而不仅仅是流感或 COVID-19。需要进一步开展随机对照试验,评估抗真菌治疗在降低 IPA 发病率和改善临床预后方面的时机、安全性和有效性。
{"title":"Invasive pulmonary aspergillosis among patients with severe community-acquired pneumonia and influenza in ICUs: a retrospective cohort study.","authors":"Wei-Chun Lee, Che-Chia Chang, Meng-Chin Ho, Chieh-Mo Lin, Shaw-Woei Leu, Chin-Kuo Lin, Yu-Hung Fang, Shu-Yi Huang, Yu-Ching Lin, Min-Chun Chuang, Tsung-Ming Yang, Ming-Szu Hung, Yen-Li Chou, Ying-Huang Tsai, Meng-Jer Hsieh","doi":"10.1186/s41479-024-00129-9","DOIUrl":"10.1186/s41479-024-00129-9","url":null,"abstract":"<p><strong>Rationale: </strong>The prevalence, clinical characteristics, and outcomes of invasive pulmonary aspergillosis in patients with severe community-acquired pneumonia (CAP) in intensive care units remain underestimated because of the lack of a disease-recognition scheme and the inadequacy of diagnostic tests.</p><p><strong>Objectives: </strong>To identify the prevalence, risk factors, and outcomes of severe CAP complicated with invasive pulmonary aspergillosis (IPA) in intensive care units (ICUs).</p><p><strong>Methods: </strong>We conducted a retrospective cohort study including recruited 311 ICU-hospitalized patients with severe CAP without influenza or with influenza. Bronchoalveolar lavage fluid (BALF) samples were from all patients and subjected to mycological testing. Patients were categorized as having proven or probable Aspergillus infection using a modified form of the AspICU algorithm comprising clinical, radiological, and mycological criteria.</p><p><strong>Measurements and main results: </strong>Of the 252 patients with severe CAP and 59 influenza patients evaluated, 24 met the diagnostic criteria for proven or probable Aspergillus infection in the CAP group and 9 patients in the influenza group, giving estimated prevalence values of 9.5% and 15.3%, respectively. COPD and the use of inhaled corticosteroids were independent risk factors for IPA. IPA in patients with severe CAP was significantly associated with the duration of mechanical support, the length of ICU stay, and the 28-day mortality.</p><p><strong>Conclusions: </strong>An aggressive diagnostic approach for IPA patients with severe CAP and not only influenza or COVID-19 should be pursued. Further randomized controlled trials need to evaluate the timing, safety, and efficacy of antifungal therapy in reducing IPA incidence and improving clinical outcomes.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":"16 1","pages":"10"},"PeriodicalIF":6.8,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11127357/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141094531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-05DOI: 10.1186/s41479-024-00130-2
Alexander J Adamson, Constantinos Kallis, Ian Douglas, Jennifer K Quint
Background: In primary care, identifying pneumonia events in people with chronic obstructive pulmonary disease (COPD) may be challenging due to similarities in symptoms with COPD exacerbations and lack of diagnostic testing. This study explored the accuracy of pneumonia diagnosis coded in primary care by comparing diagnosis in primary care with diagnosis in hospital.
Methods: A study population of people with COPD in England was created using the Clinical Practice Research Datalink Aurum database linked with Hospital Episode Statistics inpatient data. Pneumonia codes only, and pneumonia code with associated clinical and/or treatment codes (chest x-ray, symptoms, antibiotics, sputum and blood culture) were used to determine pneumonia events in primary care. Events that were followed by hospitalisation within 7 days were used to estimate the positive predictive value (PPV) of pneumonia coding in primary care, using primary diagnosis of pneumonia in secondary care as the gold standard. The PPV of primary care recording of hospitalised pneumonia was also calculated.
Results: Two hundred seventy-four thousand one hundred fifty-six COPD patients were eligible for inclusion, of whom 7,560 had an eligible pneumonia event in primary care diagnosed between 2015-2019 which was not 'hospital-acquired' and was diagnosed and entered on the same day. Of the 2,094 events which were followed by hospitalisation within 7 days, 1,208 had a primary diagnosis of pneumonia in hospital, representing a PPV of pneumonia coding in primary care of 57.7% (95% CI 55.6%-59.8%). Another 284 (13.6%) were diagnosed as a COPD exacerbation and 114 (5.4%) were diagnosed as another respiratory disease. Use of additional pneumonia clinical and treatment codes had a modest effect on the PPV but substantially lowered the number of events. Of the 33,603 eligible pneumonia events identified in secondary care, only 11,445 were recorded in primary care within 42 days, representing a sensitivity of 34.1% (95% CI 33.6%-34.6%).
Conclusions: Use of primary care pneumonia codes and associated clinical and treatment codes to determine pneumonia is not recommended due to significant levels of misdiagnosis and many hospitalised events failing to be recorded in primary care.
{"title":"Accuracy of the recording of pneumonia events in English electronic healthcare record data in patients with chronic obstructive pulmonary disease.","authors":"Alexander J Adamson, Constantinos Kallis, Ian Douglas, Jennifer K Quint","doi":"10.1186/s41479-024-00130-2","DOIUrl":"https://doi.org/10.1186/s41479-024-00130-2","url":null,"abstract":"<p><strong>Background: </strong>In primary care, identifying pneumonia events in people with chronic obstructive pulmonary disease (COPD) may be challenging due to similarities in symptoms with COPD exacerbations and lack of diagnostic testing. This study explored the accuracy of pneumonia diagnosis coded in primary care by comparing diagnosis in primary care with diagnosis in hospital.</p><p><strong>Methods: </strong>A study population of people with COPD in England was created using the Clinical Practice Research Datalink Aurum database linked with Hospital Episode Statistics inpatient data. Pneumonia codes only, and pneumonia code with associated clinical and/or treatment codes (chest x-ray, symptoms, antibiotics, sputum and blood culture) were used to determine pneumonia events in primary care. Events that were followed by hospitalisation within 7 days were used to estimate the positive predictive value (PPV) of pneumonia coding in primary care, using primary diagnosis of pneumonia in secondary care as the gold standard. The PPV of primary care recording of hospitalised pneumonia was also calculated.</p><p><strong>Results: </strong>Two hundred seventy-four thousand one hundred fifty-six COPD patients were eligible for inclusion, of whom 7,560 had an eligible pneumonia event in primary care diagnosed between 2015-2019 which was not 'hospital-acquired' and was diagnosed and entered on the same day. Of the 2,094 events which were followed by hospitalisation within 7 days, 1,208 had a primary diagnosis of pneumonia in hospital, representing a PPV of pneumonia coding in primary care of 57.7% (95% CI 55.6%-59.8%). Another 284 (13.6%) were diagnosed as a COPD exacerbation and 114 (5.4%) were diagnosed as another respiratory disease. Use of additional pneumonia clinical and treatment codes had a modest effect on the PPV but substantially lowered the number of events. Of the 33,603 eligible pneumonia events identified in secondary care, only 11,445 were recorded in primary care within 42 days, representing a sensitivity of 34.1% (95% CI 33.6%-34.6%).</p><p><strong>Conclusions: </strong>Use of primary care pneumonia codes and associated clinical and treatment codes to determine pneumonia is not recommended due to significant levels of misdiagnosis and many hospitalised events failing to be recorded in primary care.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":"16 1","pages":"8"},"PeriodicalIF":6.8,"publicationDate":"2024-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11070075/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140855560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-25DOI: 10.1186/s41479-024-00126-y
Patrick Hervé Diboue Betote, Esther Del Florence Ndedi Moni, Sonia Raïssa Gayap Matchuenkam, Sandrine Suzanne Bayengue Beack, Rodrigue Fifen, Raogo Ouedraogo, Gabriel A Agbor, Rasmané Semde, Nga Nnanga, Maximilienne Ascension Nyegue
Background: Klebsiella pneumoniae has become one of the major threats to public health as it causes nosocomial and community-acquired infections like lobar pneumonia. This infection causes acute inflammation in the lung, characterized by the recruitment of polymorphonuclear cells, generating free radicals, and decreasing the endogenous antioxidant balance system. Many experimental studies have focused on the induction, progression and resolution of infection up to its peak, but these documented processes remain highly random and their sex dependence un-elicited. These fluctuations of physiopathological parameters would impact disease progression depending on the animal's model and bacterial strain used. The present study investigated the sex-dependent vulnerability of Wistar rats to K. pneumoniae ATCC 43816 lobar pneumonia induced by the intranasal instillation method.
Methods: Experimental pneumonia was induced by K. pneumoniae ATCC 43816 in male and female Wistar rats following intranasal instillation. The physiopathogenesis of the disease was studied by bacteriological and histopathological exams, histomorphometric analysis of the blood and/or lung tissue, and body weight loss in infected animals. In addition, the overall severity of lesions was determined by the total score obtained by averaging the individual scores from the same group of animals.
Results: The K. pneumoniae ATCC 43816 strain showed inoculation dose-, incubation time of the disease- and sex-dependent- differences in its ability to induce lobar pneumonia. Evaluation of different parameters showed that the disease peaked on day 15 post-inoculation, with more pathogenic effects on female rats. This observed sex-dependence difference in Wistar rats was mainly highlighted by the determined lethal dose 50 (LD50), bacterial load count in whole blood and lung tissues, body weight loss, inflammatory granulomas forming and diffuse alveolar damages. The pathogenicity was confirmed by scoring the severity of pathologic lesions of lung tissues.
Conclusions: The results obtained highlighted the gender-dependency in the physiopathogenesis processes of K. pneumoniae ATCC 43816 induced-lobar pneumonia, in Wistar rats. Female Wistar rats' susceptibility is useful in studying pathology and in preclinical trial investigations of new treatments for infectious pneumonia.
{"title":"Sex-dependent vulnerability for Wistar rats model following intranasal instillation with Klebsiella pneumoniae ATCC 43816 causing lobar pneumonia.","authors":"Patrick Hervé Diboue Betote, Esther Del Florence Ndedi Moni, Sonia Raïssa Gayap Matchuenkam, Sandrine Suzanne Bayengue Beack, Rodrigue Fifen, Raogo Ouedraogo, Gabriel A Agbor, Rasmané Semde, Nga Nnanga, Maximilienne Ascension Nyegue","doi":"10.1186/s41479-024-00126-y","DOIUrl":"10.1186/s41479-024-00126-y","url":null,"abstract":"<p><strong>Background: </strong>Klebsiella pneumoniae has become one of the major threats to public health as it causes nosocomial and community-acquired infections like lobar pneumonia. This infection causes acute inflammation in the lung, characterized by the recruitment of polymorphonuclear cells, generating free radicals, and decreasing the endogenous antioxidant balance system. Many experimental studies have focused on the induction, progression and resolution of infection up to its peak, but these documented processes remain highly random and their sex dependence un-elicited. These fluctuations of physiopathological parameters would impact disease progression depending on the animal's model and bacterial strain used. The present study investigated the sex-dependent vulnerability of Wistar rats to K. pneumoniae ATCC 43816 lobar pneumonia induced by the intranasal instillation method.</p><p><strong>Methods: </strong>Experimental pneumonia was induced by K. pneumoniae ATCC 43816 in male and female Wistar rats following intranasal instillation. The physiopathogenesis of the disease was studied by bacteriological and histopathological exams, histomorphometric analysis of the blood and/or lung tissue, and body weight loss in infected animals. In addition, the overall severity of lesions was determined by the total score obtained by averaging the individual scores from the same group of animals.</p><p><strong>Results: </strong>The K. pneumoniae ATCC 43816 strain showed inoculation dose-, incubation time of the disease- and sex-dependent- differences in its ability to induce lobar pneumonia. Evaluation of different parameters showed that the disease peaked on day 15 post-inoculation, with more pathogenic effects on female rats. This observed sex-dependence difference in Wistar rats was mainly highlighted by the determined lethal dose 50 (LD<sub>50</sub>), bacterial load count in whole blood and lung tissues, body weight loss, inflammatory granulomas forming and diffuse alveolar damages. The pathogenicity was confirmed by scoring the severity of pathologic lesions of lung tissues.</p><p><strong>Conclusions: </strong>The results obtained highlighted the gender-dependency in the physiopathogenesis processes of K. pneumoniae ATCC 43816 induced-lobar pneumonia, in Wistar rats. Female Wistar rats' susceptibility is useful in studying pathology and in preclinical trial investigations of new treatments for infectious pneumonia.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":"16 1","pages":"5"},"PeriodicalIF":6.8,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10962189/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140207803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aim: This study aimed to examine the utility of simultaneously performed the Film Array pneumonia panels (pneumonia panels) and Gram staining with the same specimens and evaluate their effect on antimicrobial selection.
Methods: This prospective study, conducted from April 2022 to January 2023, enrolled adult patients with pneumonia, including those with ventilator-associated pneumonia (VAP). Specimens obtained at the time of sputum culture were tested using Gram staining and the pneumonia panel. The patients' characteristics and pneumonia panel results were assessed. We also evaluated the selection of antimicrobial agents for drug-resistant bacteria detected by the pneumonia panel.
Results: This study comprised 39 patients: 25 patients (64.1%) underwent intubation, including 7 (17.9%) patients with VAP. Most tests were performed at the time of admission, while some were performed during hospitalization. Good quality sputum was obtained from intubated patients. The pneumonia panel detected drug-resistant bacteria in 12 cases. Six patients required antimicrobial escalation, while the antimicrobial regimen remained unchanged for 2 patients in whom Pseudomonas aeruginosa was detected and had already received meropenem. The attending physician did not change the antimicrobials, considering the results of Gram staining and the patient's general condition in 4 patients.
Conclusions: The pneumonia panel might be useful for detecting drug-resistant organisms at an early stage. It may be important to take the Gram staining results and the patient's condition into account with pneumonia panel for appropriate antibiotic prescription.
{"title":"Combination of a multiplex pneumonia panel and Gram staining for antimicrobial selection to treat lower respiratory tract infection.","authors":"Hiroshi Matsuura, Koudai Arimoto, Yoshihito Takahashi, Masafumi Kishimoto","doi":"10.1186/s41479-024-00125-z","DOIUrl":"10.1186/s41479-024-00125-z","url":null,"abstract":"<p><strong>Aim: </strong>This study aimed to examine the utility of simultaneously performed the Film Array pneumonia panels (pneumonia panels) and Gram staining with the same specimens and evaluate their effect on antimicrobial selection.</p><p><strong>Methods: </strong>This prospective study, conducted from April 2022 to January 2023, enrolled adult patients with pneumonia, including those with ventilator-associated pneumonia (VAP). Specimens obtained at the time of sputum culture were tested using Gram staining and the pneumonia panel. The patients' characteristics and pneumonia panel results were assessed. We also evaluated the selection of antimicrobial agents for drug-resistant bacteria detected by the pneumonia panel.</p><p><strong>Results: </strong>This study comprised 39 patients: 25 patients (64.1%) underwent intubation, including 7 (17.9%) patients with VAP. Most tests were performed at the time of admission, while some were performed during hospitalization. Good quality sputum was obtained from intubated patients. The pneumonia panel detected drug-resistant bacteria in 12 cases. Six patients required antimicrobial escalation, while the antimicrobial regimen remained unchanged for 2 patients in whom Pseudomonas aeruginosa was detected and had already received meropenem. The attending physician did not change the antimicrobials, considering the results of Gram staining and the patient's general condition in 4 patients.</p><p><strong>Conclusions: </strong>The pneumonia panel might be useful for detecting drug-resistant organisms at an early stage. It may be important to take the Gram staining results and the patient's condition into account with pneumonia panel for appropriate antibiotic prescription.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":"16 1","pages":"4"},"PeriodicalIF":6.8,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10913398/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140029143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-25DOI: 10.1186/s41479-023-00124-6
Juan P Horcajada, Rebeca Aldonza, Mónica Real, Silvia Castañeda-Espinosa, Elena Sendra, Joan Gomez-Junyent, Inmaculada López-Montesinos, Silvia Gómez-Zorrilla, Silvia Briansó, Montserrat Duran-Taberna, Andrés Fernández, Cristina Tarragó, Teresa Auguet-Quintillá
Purpose: To design a randomized clinical trial to assess the efficacy and safety of favipiravir in patients with COVID-19 disease with pneumonia.
Methods: A randomized, double blind, placebo-controlled clinical trial of favipiravir in patients with COVID-19 pneumonia was conducted in three Spanish sites. Randomization 1:1 to favipiravir or placebo (in both groups added to the Standard of Care) was performed to treat the patients with COVID-19 pneumonia. The primary endpoint was "time to clinical improvement," measured as an improvement for ≥ two categories on a 7-point WHO ordinal scale in an up to 28 days' time frame.
Results: Forty-four patients were randomized (23 in the favipiravir group and 21 in the placebo group). The median time to clinical improvement was not different between the favipiravir and the placebo arms (10 days for both groups) and none of the secondary endpoints showed significant differences between arms. The proportion of adverse events (both serious and non-serious) was statistically different between the favipiravir group (68.29%) and the placebo group (31.7%) (p = 0.019), but there was insufficient statistical evidence to correlate the degree of severity of the events with the treatment group.
Conclusions: Favipiravir administered for ten days to patients with COVID-19 and pneumonia did not improve outcomes compared with placebo. Although this is an underpowered negative study, efficacy results align with other randomized trials. However, in the present study, the non-serious adverse events were more frequent in the favipiravir group.
{"title":"Safety and efficacy of favipiravir in COVID-19 patients with pneumonia. A randomized, double-blind, placebo-controlled study (FAVID).","authors":"Juan P Horcajada, Rebeca Aldonza, Mónica Real, Silvia Castañeda-Espinosa, Elena Sendra, Joan Gomez-Junyent, Inmaculada López-Montesinos, Silvia Gómez-Zorrilla, Silvia Briansó, Montserrat Duran-Taberna, Andrés Fernández, Cristina Tarragó, Teresa Auguet-Quintillá","doi":"10.1186/s41479-023-00124-6","DOIUrl":"10.1186/s41479-023-00124-6","url":null,"abstract":"<p><strong>Purpose: </strong>To design a randomized clinical trial to assess the efficacy and safety of favipiravir in patients with COVID-19 disease with pneumonia.</p><p><strong>Methods: </strong>A randomized, double blind, placebo-controlled clinical trial of favipiravir in patients with COVID-19 pneumonia was conducted in three Spanish sites. Randomization 1:1 to favipiravir or placebo (in both groups added to the Standard of Care) was performed to treat the patients with COVID-19 pneumonia. The primary endpoint was \"time to clinical improvement,\" measured as an improvement for ≥ two categories on a 7-point WHO ordinal scale in an up to 28 days' time frame.</p><p><strong>Results: </strong>Forty-four patients were randomized (23 in the favipiravir group and 21 in the placebo group). The median time to clinical improvement was not different between the favipiravir and the placebo arms (10 days for both groups) and none of the secondary endpoints showed significant differences between arms. The proportion of adverse events (both serious and non-serious) was statistically different between the favipiravir group (68.29%) and the placebo group (31.7%) (p = 0.019), but there was insufficient statistical evidence to correlate the degree of severity of the events with the treatment group.</p><p><strong>Conclusions: </strong>Favipiravir administered for ten days to patients with COVID-19 and pneumonia did not improve outcomes compared with placebo. Although this is an underpowered negative study, efficacy results align with other randomized trials. However, in the present study, the non-serious adverse events were more frequent in the favipiravir group.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":"16 1","pages":"3"},"PeriodicalIF":6.8,"publicationDate":"2024-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10894471/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139944536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-05DOI: 10.1186/s41479-023-00123-7
Jan Mizera, Samuel Genzor, Milan Sova, Ladislav Stanke, Radim Burget, Petr Jakubec, Martin Vykopal, Pavol Pobeha, Jana Zapletalová
Rationale: Persistent respiratory symptoms following Coronavirus Disease 2019 (COVID-19) are associated with residual radiological changes in lung parenchyma, with a risk of development into lung fibrosis, and with impaired pulmonary function. Previous studies hinted at the possible efficacy of corticosteroids (CS) in facilitating the resolution of post-COVID residual changes in the lungs, but the available data is limited.
Aim: To evaluate the effects of CS treatment in post-COVID respiratory syndrome patients.
Patients and methods: Post-COVID patients were recruited into a prospective single-center observational study and scheduled for an initial (V1) and follow-up visit (V2) at the Department of Respiratory Medicine and Tuberculosis, University Hospital Olomouc, comprising of pulmonary function testing, chest x-ray, and complex clinical examination. The decision to administer CS or maintain watchful waiting (WW) was in line with Czech national guidelines.
Results: The study involved 2729 COVID-19 survivors (45.7% male; mean age: 54.6). From 2026 patients with complete V1 data, 131 patients were indicated for CS therapy. These patients showed significantly worse radiological and functional impairment at V1. Mean initial dose was 27.6 mg (SD ± 10,64), and the mean duration of CS therapy was 13.3 weeks (SD ± 10,06). Following therapy, significantly better improvement of static lung volumes and transfer factor for carbon monoxide (DLCO), and significantly better rates of good or complete radiological and subjective improvement were observed in the CS group compared to controls with available follow-up data (n = 894).
Conclusion: Better improvement of pulmonary function, radiological findings and subjective symptoms were observed in patients CS compared to watchful waiting. Our findings suggest that glucocorticoid therapy could benefit selected patients with persistent dyspnea, significant radiological changes, and decreased DLCO.
{"title":"The effectiveness of glucocorticoid treatment in post-COVID-19 pulmonary involvement.","authors":"Jan Mizera, Samuel Genzor, Milan Sova, Ladislav Stanke, Radim Burget, Petr Jakubec, Martin Vykopal, Pavol Pobeha, Jana Zapletalová","doi":"10.1186/s41479-023-00123-7","DOIUrl":"10.1186/s41479-023-00123-7","url":null,"abstract":"<p><strong>Rationale: </strong>Persistent respiratory symptoms following Coronavirus Disease 2019 (COVID-19) are associated with residual radiological changes in lung parenchyma, with a risk of development into lung fibrosis, and with impaired pulmonary function. Previous studies hinted at the possible efficacy of corticosteroids (CS) in facilitating the resolution of post-COVID residual changes in the lungs, but the available data is limited.</p><p><strong>Aim: </strong>To evaluate the effects of CS treatment in post-COVID respiratory syndrome patients.</p><p><strong>Patients and methods: </strong>Post-COVID patients were recruited into a prospective single-center observational study and scheduled for an initial (V1) and follow-up visit (V2) at the Department of Respiratory Medicine and Tuberculosis, University Hospital Olomouc, comprising of pulmonary function testing, chest x-ray, and complex clinical examination. The decision to administer CS or maintain watchful waiting (WW) was in line with Czech national guidelines.</p><p><strong>Results: </strong>The study involved 2729 COVID-19 survivors (45.7% male; mean age: 54.6). From 2026 patients with complete V1 data, 131 patients were indicated for CS therapy. These patients showed significantly worse radiological and functional impairment at V1. Mean initial dose was 27.6 mg (SD ± 10,64), and the mean duration of CS therapy was 13.3 weeks (SD ± 10,06). Following therapy, significantly better improvement of static lung volumes and transfer factor for carbon monoxide (DLCO), and significantly better rates of good or complete radiological and subjective improvement were observed in the CS group compared to controls with available follow-up data (n = 894).</p><p><strong>Conclusion: </strong>Better improvement of pulmonary function, radiological findings and subjective symptoms were observed in patients CS compared to watchful waiting. Our findings suggest that glucocorticoid therapy could benefit selected patients with persistent dyspnea, significant radiological changes, and decreased DLCO.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":"16 1","pages":"2"},"PeriodicalIF":6.8,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10840187/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139681729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-05DOI: 10.1186/s41479-023-00121-9
Maha E Houssen, Marwa O Elmaria, Dina Badr, Rasha El-Mahdy, Mayada A Ghannam, Shaimaa El-Ashwah, May Denewer, Metwaly Ibrahim Mortada
Toll-like receptor 4 (TLR4) signaling mediates sustained systemic inflammation in(COVID)-19 patients. We aimed to assess the serum levels of sTLR4 and sCD14 as negative regulators of Toll like receptor signaling and their association with laboratory markers and clinical severity in covid 19 patients. Ninety-eight patients with COVID-19 (70 severe and 28 non-severe) were enrolled in the study. Serum sCD14 andsTLR4were determined by ELISA. A significant increase in serum sTLR4 and sCD14 levels was detected in severe compared to non severe COVID19 patients.Receiver operating characteristic curve (ROC) analysis revealed significant diagnostic potential of serum sTLR4 and sCD14 in covid19 patients.We conclude that Serum sTLR4 and sCD14 may be promising clinical severity markers for COVID19 patients.
{"title":"Serum soluble toll-like receptor 4 and risk for clinical severity in COVID-19 patients.","authors":"Maha E Houssen, Marwa O Elmaria, Dina Badr, Rasha El-Mahdy, Mayada A Ghannam, Shaimaa El-Ashwah, May Denewer, Metwaly Ibrahim Mortada","doi":"10.1186/s41479-023-00121-9","DOIUrl":"10.1186/s41479-023-00121-9","url":null,"abstract":"<p><p>Toll-like receptor 4 (TLR4) signaling mediates sustained systemic inflammation in(COVID)-19 patients. We aimed to assess the serum levels of sTLR4 and sCD14 as negative regulators of Toll like receptor signaling and their association with laboratory markers and clinical severity in covid 19 patients. Ninety-eight patients with COVID-19 (70 severe and 28 non-severe) were enrolled in the study. Serum sCD14 andsTLR4were determined by ELISA. A significant increase in serum sTLR4 and sCD14 levels was detected in severe compared to non severe COVID19 patients.Receiver operating characteristic curve (ROC) analysis revealed significant diagnostic potential of serum sTLR4 and sCD14 in covid19 patients.We conclude that Serum sTLR4 and sCD14 may be promising clinical severity markers for COVID19 patients.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":"16 1","pages":"1"},"PeriodicalIF":6.8,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10768148/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139098919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}