Impact of salt intake on urinary albumin excretion in patients with type 2 diabetic nephropathy: a retrospective cohort study based on a generalized additive model.

Diabetic kidney disease is an important and common cause of end-stage renal disease. Measurement of urinary albumin excretion (UAE) requires the diagnosis of the stage of diabetic nephropathy and the prognosis of renal function. We aimed to analyze the impact of lifestyle modification on UAE in patients with stage 2 and 3 type 2 diabetic nephropathy who received comprehensive medical care, using a generalized additive model (GAM), an explanatory machine learning model. In this retrospective observational study, we used changes in HbA1c, systolic blood pressure (SBP), and diastolic blood pressure (DBP) levels; body mass index (BMI); and daily salt intake as factors contributing to changes in UAE. In total, 269 patients with type 2 diabetic nephropathy were enrolled (stage 2, 217 patients; stage 3, 52 patients). The rankings that contributed to changes in UAE over 6 months by permutation importance were the changes in daily salt intake, HbA1c, SBP, DBP, and BMI. GAM, which predicts the change in UAE, showed that with increase in the changes in salt intake, SBP, and HbA1c, the delta UAE tended to increase. Salt intake was the most contributory factor for the changes in UAE, and daily salt intake was the best lifestyle factor to explain the changes in UAE. Strict control of salt intake may have beneficial effects on improving UAE in patients with stage 2 and 3 diabetic nephropathy.

Isotope analysis reveals proportional change and site-selection variation of river- and lake-produced eggs of a landlocked migratory fish.

Changes in the proportions of river- and lake-produced eggs of a landlocked amphidromous fish, ayu (Plecoglossus altivelis altivelis) in the Lake Biwa water system, Japan, were monitored by stable isotope analysis, based on different δ15 N and δ13 C values of prey organisms between the lake and its tributaries. During the 3 month reproduction season, the δ15 N values of spawned eggs decreased with time. This result implies that there was a shift from lake-produced eggs to river-produced eggs within a reproductive season, based on the observation that adult fish in the lake had previously been shown to have eggs with distinctly higher δ15 N values in their ovaries than those in the tributaries. This explanation was also supported by the change in δ13 C values of the spawned eggs. Furthermore, eggs with lower δ15 N and higher δ13 C values tended to be spawned at less variable depths, suggesting that females spawning river-produced eggs selected the spawning sites from a narrower range. We conclude that stable isotope ratios of spawned eggs can be indicators of the relative contributions of different food chains and can enable comparisons of reproductive characteristics between types of egg.

Acute Gastric Dilatation After Excessive Alcohol Consumption.

Acute gastric dilatation (AGD) is a rare but potentially life-threatening condition, commonly associated with mechanical obstructions or systemic conditions such as diabetes and eating disorders. This report describes a 46-year-old man who was brought to the emergency department with frequent vomiting as his chief complaint. He was a habitual heavy drinker and had consumed a large amount of alcohol the night before his admission. He had a previous hospitalization for AGD triggered by excessive alcohol intake a year earlier. Abdominal computed tomography (CT) revealed gastric distension, and his symptoms improved following nasogastric decompression. No significant abnormalities were found during an upper gastrointestinal endoscopy performed after his admission. He was discharged on the fifth day without any complications. This case represents a rare instance of acute gastric dilatation triggered by excessive alcohol consumption. AGD induced by alcohol presents unique clinical challenges compared to typical cases caused by overeating. Specifically, frequent vomiting following heavy alcohol intake can lead clinicians to consider diagnoses such as acute alcohol intoxication or alcoholic ketoacidosis, which may divert attention from the potential for concurrent AGD. This case underscores the importance of considering AGD in the differential diagnosis for patients presenting with frequent vomiting after excessive drinking, illustrating the critical need for careful evaluation to avoid misdiagnosis.

Discovery of a Microbial Carrier with High Adsorption Affinity for Syntrophic Long-Chain Fatty Acid-Degrading Microorganisms.

Long-chain fatty acid (LCFA) degradation primarily involves several species of Syntrophomonas and hydrogenotrophic methanogens, constituting the rate-limiting step in anaerobic digestion. It is crucial to augment their abundance to enhance LCFA degradation. Utilizing microbial carriers presents an effective strategy to maintain the microorganisms on the surface and prevent their washout from the digester. In this study, we aimed to identify a suitable microbial carrier with a superior adsorption capacity for LCFA-degrading microorganisms. We tested various polymers, poly(vinyl alcohol) (PVA), polypropylene (PP), polyethylene glycol (PEG), and polyvinylidene chloride (PVDC), adding them to the sludge at the concentration of 28.25 g L-1 and incubating with olive oil. The amplicon sequencing analysis revealed that PVDC retained Syntrophomonas more abundantly than the other polymers. Remarkably, PVDC predominantly adsorbed LCFA-degrading S. sapovorans and S. zehnderi, whereas medium- to short-chain fatty acid-degrading S. wolfei was abundant in the sludge. Moreover, hydrogenotrophic Methanospirillum hungatei was detected at 2.3-9.5 times higher abundance on PVDC compared to the sludge. Further analysis indicated that not only these LCFA-degrading syntrophic microbial communities but also Propionispira and Anaerosinus, which are capable of lipid hydrolysis and glycerol degradation, became dominant on PVDC. Actually, chemical analysis confirmed that adding PVDC promoted the olive oil degradation. These results underscore the potential of PVDC in promoting anaerobic LCFA degradation.

Anti-biofouling performance and microbial communities of an integrated fixed-film activated sludge membrane bioreactor with a fibrous carrier material: Pilot-scale demonstration.

Widespread use of membrane bioreactors for high-performance wastewater treatment depends on the prevention of biofouling during membrane filtration, which can reduce operating costs. Biofouling is usually prevented using mechanical and chemical membrane treatment methods, which can be time-consuming and expensive. In this study, we developed bio-capsules as a fluidizing carrier material in an integrated fixed-film activated sludge membrane bioreactor (IFAS-MBR). The bio-capsules were prepared from moniliform polyvinylidene chloride fibrous balls enclosed in a spherical plastic basket, and could harbor protozoa and metazoa. A pilot-scale anoxic-oxic IFAS-MBR system with a total volume of 132 m3 was operated to remove organic carbon and nitrogen from municipal wastewater at a high permeate flux (0.84 m3/m2/day). The efficacy of the bio-capsules and the prokaryotic/eukaryotic community structures in the system were investigated. After operation for 1 year, the system demonstrated stable removal of organic carbon (76.0 % ± 15.5 % as total organic carbon, 93.1 ± 5.3 % as BOD, and 88.5 ± 5.2 % as CODMn) and nitrogen (71.3 % ± 9.3 %) despite fluctuations in the influent concentrations. Increases in transmembrane pressure (TMP) were retarded from its increase rates from 0.56 kPa/day to 0.149-0.224 kPa/day by the bio-capsules, and the TMP was kept constant at around 20 kPa throughout the operational period. High-throughput sequencing of 16S rRNA gene amplicons showed that the prokaryotic family Pirellulaceae was metabolically active and correlated with the TMP. According to the 18S rRNA gene sequencing, the eukaryotic metazoan Bdelloidea was more abundant in the bio-capsules than in activated sludge, which was supported by microscopic observations. These results suggest that the application of bio-capsules prevents increases in the TMP by harboring the procaryotes and eukaryotes responsible for biofouling mitigation in the IFAS-MBR system.

Prediction and causal inference of hyperuricemia using gut microbiota.

Hyperuricemia (HUA) is a symptom of high blood uric acid (UA) levels, which causes disorders such as gout and renal urinary calculus. Prolonged HUA is often associated with hypertension, atherosclerosis, diabetes mellitus, and chronic kidney disease. Studies have shown that gut microbiota (GM) affect these chronic diseases. This study aimed to determine the relationship between HUA and GM. The microbiome of 224 men and 254 women aged 40 years was analyzed through next-generation sequencing and machine learning. We obtained GM data through 16S rRNA-based sequencing of the fecal samples, finding that alpha-diversity by Shannon index was significantly low in the HUA group. Linear discriminant effect size analysis detected a high abundance of the genera Collinsella and Faecalibacterium in the HUA and non-HUA groups. Based on light gradient boosting machine learning, we propose that HUA can be predicted with high AUC using four clinical characteristics and the relative abundance of nine bacterial genera, including Collinsella and Dorea. In addition, analysis of causal relationships using a direct linear non-Gaussian acyclic model indicated a positive effect of the relative abundance of the genus Collinsella on blood UA levels. Our results suggest abundant Collinsella in the gut can increase blood UA levels.

A hyperaldosteronism subtypes predictive model using ensemble learning.

This study aimed to develop a machine-learning algorithm to diagnose aldosterone-producing adenoma (APA) for predicting APA probabilities. A retrospective cross-sectional analysis of the Japan Rare/Intractable Adrenal Diseases Study dataset was performed using the nationwide PA registry in Japan comprised of 41 centers. Patients treated between January 2006 and December 2019 were included. Forty-six features at screening and 13 features at confirmatory test were used for model development to calculate APA probability. Seven machine-learning programs were combined to develop the ensemble-learning model (ELM), which was externally validated. The strongest predictive factors for APA were serum potassium (s-K) at first visit, s-K after medication, plasma aldosterone concentration, aldosterone-to-renin ratio, and potassium supplementation dose. The average performance of the screening model had an AUC of 0.899; the confirmatory test model had an AUC of 0.913. In the external validation, the AUC was 0.964 in the screening model using an APA probability of 0.17. The clinical findings at screening predicted the diagnosis of APA with high accuracy. This novel algorithm can support the PA practice in primary care settings and prevent potentially curable APA patients from falling outside the PA diagnostic flowchart.

The role of CCR7 in allergic airway inflammation induced by house dust mite exposure.

House dust mite (HDM), the most common allergen, activate both the IgE-associated and innate immune responses. To clarify the process of sensitization, we investigated the role of the CCL21, CCL19, and CCR7 axis in a mouse model of HDM-induced allergic asthma. HDM inhalation without systemic immunization resulted in a HDM-specific IgE response. CCR7-knockout (CCR7KO) mice exhibited greater airway inflammation and IgE responses compared to wild-type mice. We examined FoxP3 expression in these mice to clarify the contribution of regulatory cells to the responses. FoxP3 expression was higher in the lungs but not in the lymph nodes of CCR7KO mice compared to wild-type mice. In CCR7KO mice, FoxP3-positive cells were found in lung, but we observed higher release of IL-13, IL-5, TGF-ß, IL-17, and HMGB1 in bronchoalveolar lavage fluid. We demonstrate here that immuno-regulation through CCR7 expression in T cells plays a role in HDM-specific sensitization in the airway.

Evaluating tubulointerstitial compartments in renal biopsy specimens using a deep learning-based approach for classifying normal and abnormal tubules.

Renal pathology is essential for diagnosing and assessing the severity and prognosis of kidney diseases. Deep learning-based approaches have developed rapidly and have been applied in renal pathology. However, methods for the automated classification of normal and abnormal renal tubules remain scarce. Using a deep learning-based method, we aimed to classify normal and abnormal renal tubules, thereby assisting renal pathologists in the evaluation of renal biopsy specimens. Consequently, we developed a U-Net-based segmentation model using randomly selected regions obtained from 21 renal biopsy specimens. Further, we verified its performance in multiclass segmentation by calculating the Dice coefficients (DCs). We used 15 cases of tubulointerstitial nephritis to assess its applicability in aiding routine diagnoses conducted by renal pathologists and calculated the agreement ratio between diagnoses conducted by two renal pathologists and the time taken for evaluation. We also determined whether such diagnoses were improved when the output of segmentation was considered. The glomeruli and interstitium had the highest DCs, whereas the normal and abnormal renal tubules had intermediate DCs. Following the detailed evaluation of the tubulointerstitial compartments, the proximal, distal, atrophied, and degenerated tubules had intermediate DCs, whereas the arteries and inflamed tubules had low DCs. The annotation and output areas involving normal and abnormal tubules were strongly correlated in each class. The pathological concordance for the glomerular count, t, ct, and ci scores of the Banff classification of renal allograft pathology remained high with or without the segmented images. However, in terms of time consumption, the quantitative assessment of tubulitis, tubular atrophy, degenerated tubules, and the interstitium was improved significantly when renal pathologists considered the segmentation output. Deep learning algorithms can assist renal pathologists in the classification of normal and abnormal tubules in renal biopsy specimens, thereby facilitating the enhancement of renal pathology and ensuring appropriate clinical decisions.

Impact of gut microbiome on dyslipidemia in japanese adults: Assessment of the Shika-machi super preventive health examination results for causal inference.

Dyslipidemia (DL) is one of the most common lifestyle-related diseases. There are few reports showing the causal relationship between gut microbiota (GM) and DL. In the present study, we used a linear non-Gaussian acyclic model (LiNGAM) to evaluate the causal relationship between GM and DL. A total of 79 men and 82 women aged 40 years or older living in Shika-machi, Ishikawa Prefecture, Japan were included in the analysis, and their clinical information was investigated. DNA extracted from the GM was processed to sequence the 16S rRNA gene using next-generation sequencing. Participants were divided into four groups based on sex and lipid profile information. The results of one-way analysis of covariance, linear discriminant analysis effect size, and least absolute value reduction and selection operator logistic regression model indicated that several bacteria between men and women may be associated with DL. The LiNGAM showed a presumed causal relationship between different bacteria and lipid profiles in men and women. In men, Prevotella 9 and Bacteroides were shown to be potentially associated with changes in low- and high-density lipoprotein cholesterol levels. In women, the LiNGAM results showed two bacteria, Akkermansia and Escherichia/Shigella, had a presumptive causal relationship with lipid profiles. These results may provide a new sex-based strategy to reduce the risk of developing DL and to treat DL through the regulation of the intestinal environment using specific GM.

Explainable Machine Learning for Atrial Fibrillation in the General Population Using a Generalized Additive Model　- A Cross-Sectional Study.

Background: Atrial fibrillation (AF) is the most common arrhythmia and is associated with increased thromboembolic stroke risk and heart failure. Although various prediction models for AF risk have been developed using machine learning, their output cannot be accurately explained to doctors and patients. Therefore, we developed an explainable model with high interpretability and accuracy accounting for the non-linear effects of clinical characteristics on AF incidence. Methods and Results: Of the 489,073 residents who underwent specific health checkups between 2009 and 2018 and were registered in the Kanazawa Medical Association database, data were used for 5,378 subjects with AF and 167,950 subjects with normal electrocardiogram readings. Forty-seven clinical parameters were combined using a generalized additive model algorithm. We validated the model and found that the area under the curve, sensitivity, and specificity were 0.964, 0.879, and 0.920, respectively. The 9 most important variables were the physical examination of arrhythmia, a medical history of coronary artery disease, age, hematocrit, γ-glutamyl transpeptidase, creatinine, hemoglobin, systolic blood pressure, and HbA1c. Further, non-linear relationships of clinical variables to the probability of AF diagnosis were visualized. Conclusions: We established a novel AF risk explanation model with high interpretability and accuracy accounting for non-linear information obtained at general health checkups. This model contributes not only to more accurate AF risk prediction, but also to a greater understanding of the effects of each characteristic.

[Case of sarcoidosis with myelodysplastic syndrome in an elderly woman].

An 85-year-old woman, who had been given a diagnosis of myelodysplastic syndrome with refractory anemia 2 years previously and required blood transfusion once a month, was admitted with complaints of fever, general fatigue, and dry cough. A chest X-ray film showed multiple small nodules in bilateral lung fields which were not observed 1 month previously. Although smear and culture tests for acid-fast bacilli in her bronchoalveolar lavage fluid, urine, and bone marrow aspiration fluid were all negative, miliary tuberculosis was strongly suspected. Antituberculosis drugs were administered, but neither her symptoms nor chest X-ray findings improved. Five months later, right oculomotor nerve palsy, followed by left abducens nerve paralysis occurred. Lumber puncture examination revealed lymphocytosis, and increased protein and ACE levels, suggesting neurosarcoidosis. A transbronchial lung biopsy specimen demonstrated non-caseating epithelioid granulomas. Oral administration of 30 mg/day prednisolone improved her symptoms as well as the chest X-ray findings.

Mechanism of apoptosis induced by copper in PC12 cells.

Copper, an essential trace element, induces apoptosis in mammalian cells. However, the precise mechanism of copper-induced apoptosis is still unclear. In this study, to determine the apoptotic pathway initiated by copper treatment, apoptotic factors such as Bax, Bad and Bcl-2, and the caspase family in PC12 cells treated with copper were measured by Western blot and RT-PCR analyses. The expression of Bax, Bad, cytochrome c and caspases 3 and 9 were increased by copper treatment. From these results, two pathways for copper-induced apoptosis were suggested. At first, an increase of Bax induces the release of cytochrome c from the mitochondria into the cytoplasm owing to binding to apoptotic activating caspase 9 leading to the activation of caspases 3. In the other pathway an increase of Bax and reactive oxygen species activates the release of AIF from the mitochondria. The AIF induces apoptosis via a caspase-independent pathway.

[A case of steroid-resistant acute hypersensitivity pneumonitis successfully treated with an immunosuppressive drug].

A 28-year-old man complaining of cough and fever was hospitalized because of bilateral diffuse granular lung shadows. Hypersensitivity pneumonitis was diagnosed based on bronchoalveolar lavage fluid (BALF) and transbronchial lung biopsy (TBLB). Since antigen avoidance alone was not effective, steroid pulse therapy was started, and his symptoms and chest X-ray findings improved. After discharge, he moved to another residence. A few weeks later, fever and dyspnea recurred, then he was hospitalized on the suspicion of acute exacerbation of hypersensitivity pneumonitis. Steroid therapy resulted in no improvement on this occasion. Lung biopsy under video-assisted thoracoscopy was performed, and acute hypersensitivity pneumonitis was diagnosed pathologically. Although steroid therapy was continued, hypoxia still remained and a KL-6 level markedly increased. Combined therapy with steroid and cyclosporin A was started, and his symptoms, physical findings, laboratory data, and chest X-ray findings gradually improved. There has been no report in which cyclosporin A was used for acute hypersensitivity pneumonitis but this case indicates that cyclosporin A is efficacious for its treatment.

Nonspecific elevation of serum Aspergillus galactomannan antigen levels in patients with rheumatoid arthritis.

BACKGROUND: Infections are an important cause of morbidity and mortality in patients with rheumatoid arthritis. Patients receiving immunosuppressive or anti-tumor necrosis factor (TNF) agents are vulnerable to fungal infections, including those derived from Aspergillus species. Detection of the Aspergillus galactomannan antigen in serum is useful for the early diagnosis of invasive aspergillosis in patients with hematological malignancies. However, its usefulness for detecting early invasive aspergillosis in rheumatoid arthritis patients remains unestablished. METHODS: Galactomannan antigen levels were measured in 340 patients (311 female patients). For patients who exhibited galactomannan antigen levels ≥0.5 during the initial examination, a second examination was performed 3-6 months later. Conventional blood tests and chest radiography were also performed. RESULTS: Elevated galactomannan antigen levels (≥0.5) were observed in 62 (18.2%) of 340 patients during the initial examination. A second examination was performed in 56 of 62 patients, 50 of whom exhibited elevated antigen levels. Elevated antigen levels were not associated with the use of any drug including anti-TNF agents. Serum galactomannan antigen levels were correlated with the albumin/globulin ratio (r=-0.19, p<0.001), γ-globulin (%; r=0.17, p=0.001), and hemoglobin concentration (r=-0.15, p=0.005). No patient was clinically diagnosed with invasive aspergillosis during the study period. CONCLUSIONS: Serum galactomannan antigen levels are frequently elevated in a nonspecific manner in patients with rheumatoid arthritis.

Relationships among smoking habits, airflow limitations, and metabolic abnormalities in school workers.

BACKGROUND: Chronic obstructive pulmonary disease is caused mainly by habitual smoking and is common among elderly individuals. It involves not only airflow limitation but also metabolic disorders, leading to increased cardiovascular morbidity and mortality. OBJECTIVE: We evaluated relationships among smoking habits, airflow limitation, and metabolic abnormalities. METHODS: Between 2001 and 2008, 15,324 school workers (9700 males, 5624 females; age: ≥ 30 years) underwent medical checkups, including blood tests and spirometry. They also responded to a questionnaire on smoking habits and medical history. RESULTS: Airflow limitation was more prevalent in current smokers than in ex-smokers and never-smokers in men and women. The frequency of hypertriglyceridemia was higher in current smokers in all age groups, and those of low high-density-lipoprotein cholesterolemia and diabetes mellitus were higher in current smokers in age groups ≥ 40 s in men, but not in women. There were significant differences in the frequencies of metabolic abnormalities between subjects with airflow limitations and those without in women, but not in men. Smoking index was an independent factor associated with increased frequencies of hypertriglyceridemia (OR 1.015; 95% CI: 1.012-1.018; p<0.0001) and low high-density-lipoprotein cholesterolemia (1.013; 1.010-1.016; p<0.0001) in men. Length of smoking cessation was an independent factor associated with a decreased frequency of hypertriglyceridemia (0.984; 0.975-0.994; p = 0.007). CONCLUSIONS: Habitual smoking causes high incidences of airflow limitation and metabolic abnormalities. Women, but not men, with airflow limitation had higher frequencies of metabolic abnormalities.

Diagnostic and prognostic value of procalcitonin in community-acquired pneumonia.

INTRODUCTION: The value of measuring procalcitonin (PCT) in patients with community-acquired pneumonia (CAP) is unclear. The aim of this study was to determine the value of PCT as a marker for microbial etiology and a predictor of outcome in CAP patients. METHODS: A single-center observational study was conducted with CAP patients. On admission, their leukocyte count, serum C-reactive protein level, and serum PCT level were determined, and microbiological tests were performed. Patients were classified into 4 groups according to the A-DROP scoring system, which assesses the severity of CAP. RESULTS: A total of 102 patients were enrolled. The pathogen was identified in 60 patients, and 31 patients had streptococcal pneumonia. The PCT levels were significantly higher in those patients with pneumococcal pneumonia than in those patients with other bacterial pneumonias (P < 0.0001). Multivariate regression analysis revealed that high PCT levels were associated with a pneumococcal etiology [odds ratio, 1.68; 95% confidence interval (CI): 1.02-2.81; P = 0.04] after adjustment for disease severity and demographic factors. The PCT levels were correlated with the A-DROP score (r = 0.49; P < 0.0001). The area under the curve for predicting mortality was highest for the A-DROP score (0.97; 95% CI: 0.92-0.99), followed by the area under the curve for PCT (0.82; 95% CI: 0.74-0.89) and C-reactive protein (0.77; 95% CI: 0.67-0.84). CONCLUSIONS: High PCT levels indicate that pneumococcal pneumonia and PCT levels depend on the severity of pneumonia. PCT measurements may provide important diagnostic and prognostic information for patients with CAP.

Sequential and quantitative analysis of a murine model of elastase-induced emphysema.

Emphysema, one of chronic obstructive pulmonary disease (COPD), is characterized as destruction of airway wall and small airway inflammation. To assess the kinetics of disease progression in murine model of elastase-induced emphysema, we used micro-computed tomography (CT) compared with morphological changes. Two week after elastase administration, a significant increase in the volume of low-density areas, recognized as -800--600 Hounsfield units by micro-CT, was observed. Coefficient of correlation between mean linear intercept (Lm) and low-density area examined by CT, was 0.79 (p<0.01). Micro-CT can quantitatively and sequentially detect murine emphysematous changes, offering a practical method to sequentially analyze the therapeutic effects of treatments in a murine model of emphysema.

Efficacy of corticosteroids in the treatment of community-acquired pneumonia requiring hospitalization.

BACKGROUND: Recent studies suggested that administration of corticosteroids may improve clinical outcomes in patients with severe pneumonia. OBJECTIVES: The aim of this study was to assess the effectiveness of corticosteroids as an adjunctive therapy in community-acquired pneumonia (CAP) requiring hospitalization. DESIGN AND SETTING: An open label, prospective, randomized control study was conducted from September 2003 to February 2004 in a community general hospital in Japan. PATIENTS: Thirty-one adult CAP patients who required hospitalization were enrolled. MEASUREMENTS AND RESULTS: Fifteen patients received 40 mg of prednisolone intravenously for 3 days (steroid group). Sixteen patients did not receive prednisolone (control group). Both groups were also evaluated for their adrenal function. The primary endpoint was length of hospital stay. Secondary endpoints were duration of intravenous (IV) antibiotics and time required to stabilize vital signs. Both groups demonstrated similar baseline characteristics and length of hospital stay, and yet a shorter duration of IV antibiotics was observed in the steroid group (p < 0.05). In addition, vital signs were stabilized earlier in the steroid group (p < 0.05). These differences were more prominent in the moderate-severe subgroup but not as significant in the mild-moderate subgroup. The prevalence of relative adrenal insufficiency (RAI) in both groups was high (43%), yet there was no difference in baseline characteristics between patients, with or without RAI. In multiple regression models, RAI seemed to have no influence on clinical courses. CONCLUSIONS: In moderate-severe CAP, administration of corticosteroids promotes resolution of clinical symptoms and reduces the duration of intravenous antibiotic therapy.