Aspiration Pneumonia

Effect of poor oral health status at hospital admission on in-hospital outcomes of older patients with aspiration pneumonia

PURPOSE

To investigate the effects of oral health status at admission on in-hospital outcomes and how it varies during hospitalization in older patients with aspiration pneumonia.

METHODS

This prospective cohort study involved patients aged ≥ 65 years who were admitted to an acute care hospital with a diagnosis of aspiration pneumonia. The patients' basic health information, length of hospital stay (LOS), and oral health assessment tool (OHAT), functional oral intake scale (FOIS), pneumonia severity index, and clinical frailty scale scores were recorded. Patients were divided into two groups based on their median OHAT scores, and intergroup changes were analyzed as a function of time. The relationship between the LOS, FOIS score upon discharge, and OHAT scores at admission was examined using multiple regression analysis.

RESULTS

Of the 89 participants (52 were men, with a mean age of 84.8 ± 7.9 years), 75 were discharged. The patients' oral health was measured weekly for 3 weeks after the initial assessment via the OHAT, wherein the median score was 7, with a significant between-group difference. Moreover, OHAT scores improved within both groups throughout their stay. OHAT scores at admission were independently associated with the LOS (B = 5.51, P = 0.009).

CONCLUSION

Poor oral health status at admission was associated with longer hospital stays. Both the high- and low-OHAT groups showed OHAT score improvements. Oral health status is critical in preventing the onset of and treating aspiration pneumonia.

Construction and evaluation of a nomogram prediction model for aspiration pneumonia in patients with acute ischemic stroke

Background

Aspiration Pneumonia (AP) is a leading cause of death in patients with Acute Ischemic Stroke (AIS). Early detection, diagnosis and effective prevention measures are crucial for improving patient prognosis. However, there is a lack of research predicting AP occurrence after AIS. This study aimed to identify risk factors and develop a nomogram model to determine the probability of developing AP after AIS.

Method

A total of 3258 AIS patients admitted to Jinshan Hospital of Fudan University between January 1, 2016, and August 20, 2022, were included. Among them, 307 patients were diagnosed with AP (AP group), while 2951 patients formed the control group (NAP group). Univariate and multivariate logistic regression analyses were conducted to identify relevant risk factors for AP after AIS. These factors were used to establish a scoring system and develop a nomogram model using R software.

Results

Univariate analysis revealed 20 factors significantly associated (P < 0.05) with the development of AP after AIS. These factors underwent multivariate logistic regression analysis, which identified age (elderly), National Institute of Health Stroke Scale (NIHSS) score, dysphagia, atrial fibrillation, cardiac insufficiency, renal insufficiency, hepatic insufficiency, elevated Fasting Blood Glucose (FBG), elevated C-Reactive Protein (CRP), elevated Neutrophil percentage (NEUT%), and decreased prealbumin as independent risk factors. A nomogram model incorporating these 11 risk factors was constructed, with a C-index of 0.872 (95 % CI: 0.845-0.899), indicating high accuracy. Calibration and clinical decision analyses demonstrated the model's reliability and clinical value.

Conclusion

A nomogram model incorporating age, NIHSS score, dysphagia, atrial fibrillation, cardiac insufficiency, renal insufficiency, hepatic insufficiency, FBG, CRP, NEUT%, and prealbumin effectively predicts AP risk in AIS patients. This model provides guidance for early intervention strategies, enabling the identification of high-risk individuals for timely preventive measures.

Predictors of aspiration pneumonia: developing a new matrix for speech and language therapists

INTRODUCTION

The contributing factors of aspiration pneumonia have been well documented. However, there are gaps in the literature regarding identifying the weight associated with each factor and the relationship between factors.

METHOD

In this study, 20 potential predictors of aspiration pneumonia (with four additional variables) have been applied to historic Speech and Language Therapy records to greater understand the significance of each contributor of aspiration pneumonia. 152 cases with an oropharyngeal dysphagia, and a Speech and Language Therapy recommendation of eating and drinking with known aspiration and the associated potential risk of developing an aspiration pneumonia, were included in the data. These were inpatients and outpatients, and had various diagnoses but all had had a videofluoroscopy.

RESULTS

Logistic regression analysis found seven factors that were individually significant in predicting the development of aspiration pneumonia with 84.93% sensitivity and 91.03% specificity DISCUSSION: Logistic regression and random forest analyses led to the proposal of a new matrix of predictors of aspiration pneumonia with respective scoring weights for individual and cumulative contributors (a direction for future research).

Diversity, composition, and networking of saliva microbiota distinguish the severity of COVID-19 episodes as revealed by an analysis of 16S rRNA variable V1-V3 region sequences

Studies on the role of the oral microbiome in SARS-CoV-2 infection and severity of the disease are limited. We aimed to characterize the bacterial communities present in the saliva of patients with varied COVID-19 severity to learn if there are differences in the characteristics of the microbiome among the clinical groups. We included 31 asymptomatic subjects with no previous COVID-19 infection or vaccination; 176 patients with mild respiratory symptoms, positive or negative for SARS-CoV-2 infection; 57 patients that required hospitalization because of severe COVID-19 with oxygen saturation below 92%, and 18 fatal cases of COVID-19. Saliva samples collected before any treatment were tested for SARS-CoV-2 by PCR. Oral microbiota in saliva was studied by amplification and sequencing of the V1-V3 variable regions of 16S gene using an Illumina MiSeq platform. We found significant changes in diversity, composition, and networking in saliva microbiota of patients with COVID-19, as well as patterns associated with severity of disease. The presence or abundance of several commensal species and opportunistic pathogens were associated with each clinical stage. Patterns of networking were also found associated with severity of disease: a highly regulated bacterial community (normonetting) was found in healthy people whereas poorly regulated populations (disnetting) were characteristic of severe cases. Characterization of microbiota in saliva may offer important clues in the pathogenesis of COVID-19 and may also identify potential markers for prognosis in the severity of the disease. IMPORTANCE SARS-CoV-2 infection is the most severe pandemic of humankind in the last hundred years. The outcome of the infection ranges from asymptomatic or mild to severe and even fatal cases, but reasons for this remain unknown. Microbes normally colonizing the respiratory tract form communities that may mitigate the transmission, symptoms, and severity of viral infections, but very little is known on the role of these microbial communities in the severity of COVID-19. We aimed to characterize the bacterial communities in saliva of patients with different severity of COVID-19 disease, from mild to fatal cases. Our results revealed clear differences in the composition and in the nature of interactions (networking) of the bacterial species present in the different clinical groups and show community-patterns associated with disease severity. Characterization of the microbial communities in saliva may offer important clues to learn ways COVID-19 patients may suffer from different disease severities.

Andrographolide sulfate inhibited NF-κB activation and alleviated pneumonia induced by poly I:C in mice

Pneumonia is a common illness that continues to be the major killer of remaining to be a significant source of morbidity and mortality in the patient population. Many microorganisms cause pneumonia, and now concern is turning to the importance of the cause the new therapies for viral pneumonia. In the current study, we report the effect of andrographolide sulfonate, a water-soluble form of andrographolide (trade name: Xi-Yan-Ping Injection), on poly I: C-induced pneumonia. Andrographolide sulfonate was administrated through intraperitoneal injection to mice with poly I: C-induced pneumonia. Recruitment of airway inflammatory cells, alteration of lung histological induced by Poly I: C were significantly ameliorated by andrographolide sulfonate. The protein levels of pro-inflammatory cytokines in bronchoalveolar fluid (BALF) and serum were reduced by andrographolide sulfonate treatment. The levels of MUC5AC and MUC5B in lung tissue were also suppressed. These results reveal that andrographolide sulfate remarkably alleviated pneumonia induced by poly I:C in mice. Moreover, andrographolide sulfonate markedly inhibited the activation of nuclear factor-κB (NF-κB). Taken together, we demonstrated that andrographolide sulfonate ameliorated poly I: C-induced pneumonia in mice, suggesting the possible use of andrographolide sulfonate for virus-induced pneumonia in clinical.