Direct costs of community-acquired pneumonia for hospitalized children in Shanghai, China from 2018 to 2020: a cross-sectional analysis.

Background: Community-acquired pneumonia (CAP) is an acute respiratory infection with a high clinical and economic burden. Clarifying the burden is important for health policy making. However, there is inadequate data on the economic burden of childhood CAP in China. In this study, the direct disease burden of CAP in children was analyzed using city-level data. Methods: A cross-sectional study of the direct costs of CAP for hospitalized children aged 28 days to 18 years old in Shanghai from January 2018 to December 2020 was performed. Information, including the hospitalization costs from the first page of the children's hospitalized medical records, was obtained. The direct costs included medical services, diagnostics, medications, and medical supplies. The continuous variables with non-normal distributions are expressed as the median (interquartile range). Comparisons between groups were performed using the Kruskal-Wallis H test. The enumeration data are expressed as the number (percentage), and comparisons between groups were performed using the χ2 test. Results: A total of 59 hospitals and 63,614 hospitalized CAP patients were included in this study. Significantly fewer patients were discharged in 2020 than 2018 and 2019 (6,662, 27,943, and 29,009, respectively, P<0.001). Among the patients, 27,741 patients (43.6%) were covered by social medical insurance, 13,509 (21.2%) by commercial health insurance, and 22,364 (35.2%) were self-paying. The annual total direct costs for 2018, 2019, and 2020 were 118.553, 140.865, and 40.064 million Chinese Yuan (CNY), respectively. The average direct costs per hospital stay due to pediatric CAP in Shanghai was 4,707.83 CNY in 2018, a sum that accounted for 7.3% and 16.7% of the per capita disposable income in Shanghai and China in 2018, respectively. The total costs of the group aged <1 year were significantly higher than those of the other age groups (6,271.1 vs. 3,244.3~4,610.7 CNY, P<0.001). The total costs of severe cases were significantly higher than those of non-severe cases (5,200.6 vs. 3,170.4 CNY, P<0.001). The median duration of hospital stay was 6.0 days (5.0, 8.0). Conclusions: CAP hospitalization continues to represent a high clinical and economic burden in Shanghai, China. Specialized hospitals, severe cases, and the length of hospital stay were positively correlated with inpatient costs.

Radiographic features of cardiogenic pulmonary oedema in cats with left-sided cardiac disease: 71 cases.

OBJECTIVES: The aims of this study were to describe the radiographic features of cardiogenic pulmonary oedema (CPE) in a large group of cats with left-sided cardiac disease, and to determine the association between the radiographic features of CPE and the underlying cardiac disease. METHODS: Thoracic radiographs of cats with CPE and echocardiographic evidence of left-sided cardiac disease and left atrial enlargement (LAE) were reviewed, and cardiac silhouette, pulmonary vessels and pulmonary parenchyma evaluation were performed. Interstitial and/or alveolar patterns were classified according to their distribution (ie, diffuse, multifocal or focal) and location (ie, craniodorsal, cranioventral, caudodorsal, caudoventral and perihilar). A Student's t-test and Mann-Whitney U-test, or the two-proportion z-test, were used to compare continuous or categorical variables, respectively, between cats affected by the two most represented cardiac diseases, namely hypertrophic cardiomyopathy (HCM) and restrictive cardiomyopathy (RCM). RESULTS: Seventy-one cats were included; among them, 46 (64.7%) and 13 (18.3%) had presented for HCM and RCM, respectively. Subjective and objective cardiomegaly, and subjective and objective LAE were detected in 97.2% and 91.9% of cats and in 80.3% and 40.6% of cats, respectively. Pulmonary artery abnormalities, in particular caudal pulmonary artery dilation, were found in 77.5% of cats. Pulmonary artery to pulmonary vein ratio = 1 was found in 71.8% and 55% cats on right lateral and ventrodorsal or dorsoventral views, respectively. Interstitial (57.8%) and mixed interstitial-alveolar (38%) pattern, multifocal (84.5%) and symmetrical (75%) distribution with prevalent ventrocaudal (65.6% of cats) and ventrocranial (60.9% of cats) locations were most frequently observed. No difference was found for any of these radiographic features between cats with HCM and RCM. CONCLUSIONS AND RELEVANCE: Moderate-to-severe cardiomegaly and LAE, caudal pulmonary artery and vein dilation, as well as a ventral, multifocal and symmetrical interstitial pulmonary pattern, were the main radiographic features of CPE in evaluated cats. Underlying cardiac disease did not influence the aforementioned radiographic features.

Decreased green autofluorescence of lung parenchyma is a biomarker for lung cancer tissues.

It is highly valuable to discover novel biomarkers for differentiating noninvasively the cancerous tissues from the nonneoplastic tissues of lung cancer. In current study, we determined the green autofluorescence (AF) of the pulmonary parenchyma of lung cancer patients, indicating that decreased green AF of pulmonary parenchyma may be the biomarker of this type: First, the green AF intensity of the cancerous tissues was significantly lower than that of the nonneoplastic tissues of the lung cancer patients; second, the green AF intensity of the nonneoplastic tissues of the lung squamous cell carcinoma was significantly lower than that of the lung adenocarcinoma; and third, "decreased green AF intensity" could be used for differentiating the nonneoplastic tissues and the cancerous tissues. Collectively, our study has suggested that decreased green AF of lung parenchyma is a biomarker for differentiating the cancerous tissues from the nonneoplastic tissues of lung cancer.

Spectral Detector CT-Derived Pulmonary Perfusion Maps and Pulmonary Parenchyma Characteristics for the Semiautomated Classification of Pulmonary Hypertension.

Objectives: To evaluate the usefulness of spectral detector CT (SDCT)-derived pulmonary perfusion maps and pulmonary parenchyma characteristics for the semiautomated classification of pulmonary hypertension (PH). Methods: A total of 162 consecutive patients with right heart catheter (RHC)-proven PH of different aetiologies as defined by the current ESC/ERS guidelines who underwent CT pulmonary angiography (CTPA) on SDCT and 20 patients with an invasive rule-out of PH were included in this retrospective study. Semiautomatic lung segmentation into normal and malperfused areas based on iodine density (ID) as well as automatic, virtual non-contrast-based emphysema quantification were performed. Corresponding volumes, histogram features and the ID SkewnessPerfDef-Emphysema-Index (δ-index) accounting for the ratio of ID distribution in malperfused lung areas and the proportion of emphysematous lung parenchyma were computed and compared between groups. Results: Patients with PH showed a significantly greater extent of malperfused lung areas as well as stronger and more homogenous perfusion defects. In group 3 and 4 patients, ID skewness revealed a significantly more homogenous ID distribution in perfusion defects than in all other subgroups. The δ-index allowed for further subclassification of subgroups 3 and 4 (p < 0.001), identifying patients with chronic thromboembolic PH (CTEPH, subgroup 4) with high accuracy (AUC: 0.92, 95%-CI, 0.85-0.99). Conclusion: Abnormal pulmonary perfusion in PH can be detected and quantified by semiautomated SDCT-based pulmonary perfusion maps. ID skewness in malperfused lung areas, and the δ-index allow for a classification of PH subgroups, identifying groups 3 and 4 patients with high accuracy, independent of reader expertise.

Acute kidney injury in moderate and severe COVID-19 patients: Report of two university hospitals.

Acute kidney injury (AKI) is one of the most severe complications of SARS-CoV-2 infection. In a retrospective study, we aimed to describe the influence of COVID-19-related factors on the severity, outcome and timing of AKI in 268 patients admitted in two large COVID-19-designated university hospitals over a period of 6 months. In the univariate analysis, there was a significant relationship between KDIGO stage and the extension of COVID-19 pneumonia on computed tomography (CT), need for oxygen supplementation, serum levels of ferritin, interleukin-6, and procalcitonin, but none of these variables had a value for predicting KDIGO stage in multinomial regression. The odds of recovery of renal function were significantly diminished by d-dimer values. Lack of immunomodulatory treatment was found to be correlated with increased need for renal replacement therapy (RRT). Compared with AKI at admission, hospital-acquired AKI was predicted by the severity of lung damage on CT, evolved more frequently with incomplete recovery of renal function, and was significantly associated with antiviral therapy.

Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images.

This paper aims to develop an automatic method to segment pulmonary parenchyma in chest CT images and analyze texture features from the segmented pulmonary parenchyma regions to assist radiologists in COVID-19 diagnosis. A new segmentation method, which integrates a three-dimensional (3D) V-Net with a shape deformation module implemented using a spatial transform network (STN), was proposed to segment pulmonary parenchyma in chest CT images. The 3D V-Net was adopted to perform an end-to-end lung extraction while the deformation module was utilized to refine the V-Net output according to the prior shape knowledge. The proposed segmentation method was validated against the manual annotation generated by experienced operators. The radiomic features measured from our segmentation results were further analyzed by sophisticated statistical models with high interpretability to discover significant independent features and detect COVID-19 infection. Experimental results demonstrated that compared with the manual annotation, the proposed segmentation method achieved a Dice similarity coefficient of 0.9796, a sensitivity of 0.9840, a specificity of 0.9954, and a mean surface distance error of 0.0318 mm. Furthermore, our COVID-19 classification model achieved an area under curve (AUC) of 0.9470, a sensitivity of 0.9670, and a specificity of 0.9270 when discriminating lung infection with COVID-19 from community-acquired pneumonia and healthy controls using statistically significant radiomic features. The significant features measured from our segmentation results agreed well with those from the manual annotation. Our approach has great promise for clinical use in facilitating automatic diagnosis of COVID-19 infection on chest CT images.

Recurrent respiratory papillomatosis with lung involvement.

Recurrent respiratory papillomatosis (RRP) is a rare disease caused by human papillomavirus. Aggressive forms of RRP require repeated cytoreductive surgery to restore airway patency. Tracheal disease is even less common and lung parenchyma is involved in less than 1% of patients. We present reports of three cases of RRP with progressive lung disease in adult patients.

Morfologia da traqueia e lobação pulmonar de Leopardus pardalis (jaguatirica) / Morphology of the trachea and lung lobation of Leopardus pardalis (ocelot)

A espécie Leopardus pardalis, conhecida popularmente como jaguatirica, é um felino de médio porte com ampla distribuição em território nacional e está incluída na lista de espécies da fauna brasileira ameaçadas de extinção. Este estudo teve como objetivo caracterizar os aspectos macroscópicos e microscópico da traqueia e lobos pulmonares em L. pardalis. As análises foram feitas utilizando cinco exemplares de jaguatirica, sendo dois machos e três fêmeas, adultos, três desses exemplares foram a óbito por atropelamento em rodovias próximas ao município de Alta Floresta, e dois doados após a morte pelo IBAMA ao o Laboratório de Zoologia e Morfologia Animal. Nos espécimes a traqueia era um tubo flexível formado por pares de arcos cartilaginosos, apresentando epitélio pseudo-estratificado não ciliado no seu revestimento interno, e outros estruturas básicas deste órgão. O pulmão se mostrou como um órgão constituído por lobos separados por fissuras com um parênquima usual aos demais mamíferos descritos. No que diz respeito às caraterísticas anatômicas da traqueia e pulmão se mostraram semelhantes à de outros mamíferos, já nos aspectos microscópicos da traqueia apresentou certas peculiaridades diferindo dos demais trabalhos encontrados. No que tange o aspecto do parênquima pulmonar as características histológicas não variaram com as que estão descritas.(AU)

The species Leopardus pardalis, popularly known as ocelot, is a medium sized cat with wide distribution in the national territory and is included in the list of species of Brazilian fauna threatened with extinction. This study aimed to characterize the macroscopic and microscopic aspects of the trachea and lung lobes in L. pardalis. Analyses were performed using five copies of ocelot, two males and three females, adults, three of these specimens died from being run over on highways nearby the municipality of Alta Floresta, and two donated after death by IBAMA to the Laboratory of Zoology and Animal Morphology. In the trachea specimens was a flexible tube formed by pairs of cartilaginous arches, with pseudo-stratified epithelium ciliated not in its inner lining, and other basic structures of this body. Lung proved as a body made up of lobes separated by cracks with a usual parenchyma to the other described mammals. With respect to the anatomic features of the trachea and lung were similar to other mammals, as in the microscopic aspects of the trachea showed certain peculiarities found differing from the other jobs. Regarding the appearance of the lung parenchyma histological characteristics did not differ with those described.(AU)

SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs.

Multidetector row computed tomography (MDCT) is increasingly taking a central role in identifying subphenotypes within chronic obstructive pulmonary disease (COPD), asthma, and other lung-related disease populations, allowing for the quantification of the amount and distribution of altered parenchyma along with the characterization of airway and vascular anatomy. The embedding of quantitative CT (QCT) into a multicenter trial with a variety of scanner makes and models along with the variety of pressures within a clinical radiology setting has proven challenging, especially in the context of a longitudinal study. SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study), sponsored by the National Institutes of Health, has established a QCT lung assessment system (QCT-LAS), which includes scanner-specific imaging protocols for lung assessment at total lung capacity and residual volume. Also included are monthly scanning of a standardized test object and web-based tools for subject registration, protocol assignment, and data transmission coupled with automated image interrogation to assure protocol adherence. The SPIROMICS QCT-LAS has been adopted and contributed to by a growing number of other multicenter studies in which imaging is embedded. The key components of the SPIROMICS QCT-LAS along with evidence of implementation success are described herein. While imaging technologies continue to evolve, the required components of a QCT-LAS provide the framework for future studies, and the QCT results emanating from SPIROMICS and the growing number of other studies using the SPIROMICS QCT-LAS will provide a shared resource of image-derived pulmonary metrics.

Digital radiography of crush thoracic trauma in the Sichuan earthquake.

AIM: To investigate the features of crush thoracic trauma in Sichuan earthquake victims using chest digital radiography (CDR). METHODS: We retrospectively reviewed 772 CDR of 417 females and 355 males who had suffered crush thoracic trauma in the Sichuan earthquake. Patient age ranged from 0.5 to 103 years. CDR was performed between May 12, 2008 and June 7, 2008. We looked for injury to the thoracic cage, pulmonary parenchyma and the pleura. RESULTS: Antero-posterior (AP) and lateral CDR were obtained in 349 patients, the remaining 423 patients underwent only AP CDR. Thoracic cage fractures, pulmonary contusion and pleural injuries were noted in 331 (42.9%; 95% CI: 39.4%-46.4%), 67 and 135 patients, respectively. Of the 256 patients with rib fractures, the mean number of fractured ribs per patient was 3. Rib fractures were mostly distributed from the 3rd through to the 8th ribs and the vast majority involved posterior and lateral locations along the rib. Rib fractures had a significant positive association with non-rib thoracic fractures, pulmonary contusion and pleural injuries (P < 0.001). The number of rib fractures and pulmonary contusions were significant factors associated with patient death. CONCLUSION: Earthquake-related crush thoracic trauma has the potential for multiple fractures. The high number of fractured ribs and pulmonary contusions were significant factors which needed appropriate medical treatment.