Respiratory Infections in the Aging Lung: Implications for Diagnosis, Therapy, and Prevention

Häder, Antje; Köse-Vogel, Nilay; Schulz, Lee; Mlynska, Lucja; Hornung, Franziska; Hagel, Stefan; Teichgräber, Ulf; Lang, Susanne M.; Pletz, Mathias W.; Saux, Claude Jourdan Le; Löffler, Bettina; Deinhardt‐Emmer, Stefanie

doi:10.14336/ad.2023.0329

Cited by 7 publications

(4 citation statements)

References 120 publications

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“…Smoking cessation with adequate preoperative time has been shown to effectively reduce the incidence of postoperative pulmonary infections in patients [31]. Previous study suggest that improving respiratory system health through exercise and smoking cessation may help reduce the risk of pulmonary infections [32]. Furthermore, patient education on health, respiratory function exercises, and oral care should be emphasized in clinical practice.…”

Section: Discussionmentioning

confidence: 99%

The Factors for the Occurrence of Pulmonary Infection after Gastrointestinal Surgery and the Construction of a Predictive Model Using sTREM-1 and TIM-4: A Retrospective Study

Tang,

Ge,

Tan

et al. 2024

Ann Ital Chir

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AIM: Identifying and intervening with high-risk postoperative pulmonary infections patients pose challenges in clinical practice. This study aims to conduct a comprehensively analysis of the risk factors and predictive factors associated with post-gastrointestinal surgery pulmonary infections and to develop a predictive model that can predict occurrence of pulmonary infection. METHODS: A retrospective analysis was conducted on 96 patients who underwent gastrointestinal surgery at our hospital from May 2021 to October 2023. The occurrence rate of postoperative pulmonary infections was calculated, and patients were categorized into two groups: those with pulmonary infections (the occurrence group) and those without pulmonary infections (the non-occurrence group). Logistic regression analysis was utilized to identify the risk factors for post-gastrointestinal surgery pulmonary infections and to evaluate the predictive value of soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) and T cell immunoglobulin and mucin domain-4 (TIM-4) using nomograms, calibration curves, and Receiver Operating Characteristic (ROC) curves. RESULTS: Out of 96 patients, 20 (20.83%) developed postoperative pulmonary infections. Significant differences were noted between occurrence and non-occurrence groups in terms of smoking (65.00% vs. 34.21%, p = 0.013), surgical duration (70.00% vs. 31.58%, p = 0.002), Preoperative hemoglobin level (35.00% vs. 65.79%, p = 0.013), sTREM-1 levels (23.57 ± 3.16 pg/mL vs. 15.62 ± 2.48 pg/mL, p < 0.001), and TIM-4 levels (61.48 ± 6.35 pg/mL vs. 44.73 ± 5.22 pg/mL, p < 0.001). Logistic regression analysis leads to the development of a risk prediction model for post-gastrointestinal surgery pulmonary infections. The high predictive values of sTREM-1 (Area Under Curve (AUC) = 0.962, 95% confidence interval (CI) 0.917~0.999) and TIM-4 (AUC = 0.970, 95% CI 0.925~1.000) were highlighted by the AUC values, underscoring their clinical importance. CONCLUSIONS: A predictive model utilizing sTREM-1 and TIM-4 for pulmonary infection following gastrointestinal surgery was developed. Additionally, other risk factors such as smoking, surgical duration, and preoperative hemoglobin level were evaluated. This finding can be applied in clinical practice to identify potentially susceptible patients and facilitate early intervention measures.

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Section: Discussionmentioning

confidence: 99%

The Factors for the Occurrence of Pulmonary Infection after Gastrointestinal Surgery and the Construction of a Predictive Model Using sTREM-1 and TIM-4: A Retrospective Study

Tang,

Ge,

Tan

et al. 2024

Ann Ital Chir

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“…Although mechanical ventilation provides essential respiratory support, it can cause a range of complications in elderly patients. Research has indicated that mechanical ventilation increases the possibility of complications such as lung injury, ventilator-associated pneumonia, and longterm dependency on mechanical ventilation in elderly patients [35]. Another study showed that elderly patients are more likely to develop UTI caused by extended spectrum beta lactamase (ESBL)-producing Escherichia.…”

Section: Discussionmentioning

confidence: 99%

Nomogram predictive model for in-hospital mortality risk in elderly ICU patients with urosepsis

Wei,

Liang,

Liu

et al. 2024

BMC Infect Dis

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Background Urinary tract infection (UTI) is a common cause of sepsis. Elderly patients with urosepsis in intensive care unit (ICU) have more severe conditions and higher mortality rates owing to factors such as advanced age, immunosenescence, and persistent host inflammatory responses. However, comprehensive studies on nomograms to predict the in-hospital mortality risk in elderly patients with urosepsis are lacking. This study aimed to construct a nomogram predictive model to accurately assess the prognosis of elderly patients with urosepsis and provide therapeutic recommendations. Methods Data of elderly patients with urosepsis were extracted from the Medical Information Mart for Intensive Care (MIMIC) IV 2.2 database. Patients were randomly divided into training and validation cohorts. A predictive nomogram model was constructed from the training set using logistic regression analysis, followed by internal validation and sensitivity analysis. Results This study included 1,251 patients. LASSO regression analysis revealed that the Glasgow Coma Scale (GCS) score, red cell distribution width (RDW), white blood count (WBC), and invasive ventilation were independent risk factors identified from a total of 43 variables studied. We then created and verified a nomogram. The area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA) of the nomogram were superior to those of the traditional SAPS-II, APACHE-II, and SOFA scoring systems. The Hosmer-Lemeshow test results and calibration curves suggested good nomogram calibration. The IDI and NRI values showed that our nomogram scoring tool performed better than the other scoring systems. The DCA curves showed good clinical applicability of the nomogram. Conclusions The nomogram constructed in this study is a convenient tool for accurately predicting in-hospital mortality in elderly patients with urosepsis in ICU. Improving the treatment strategies for factors related to the model could improve the in-hospital survival rates of these patients.

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“…Pneumonia, an inflammatory lung infection, poses substantial risks for the elderly [ 54 , 55 , 56 ]. Aging weakens the immune system, making older adults more susceptible to severe pneumonia, often resulting in hospitalization and, in severe cases, mortality [ 57 , 58 ].…”

Section: Epidemiology and Risk Factorsmentioning

confidence: 99%

Pulmonary Diseases in Older Patients: Understanding and Addressing the Challenges

Joshi

2024

Geriatrics

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As the global population ages, pulmonary diseases among older people have emerged as a significant and growing public health concern. The increasing incidence of these conditions has led to higher rates of morbidity and mortality among older adults. This perspective study offers a thorough overview of the prevalent pulmonary diseases affecting the elderly demographic. It delves into the challenges encountered during the diagnosis and management of these conditions in older individuals, considering factors such as comorbidities, functional limitations, and medication complexities. Furthermore, innovative strategies and personalized interventions such as precision medicine, advanced therapies, telemedicine solutions, and patient-centered support systems aimed at enhancing the care provided to older individuals grappling with pulmonary disorders are thoroughly explored. By addressing the unique needs and complexities of this vulnerable population, healthcare systems can strive towards improving outcomes and enhancing the quality of life for elderly individuals affected by pulmonary diseases.

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Respiratory Infections in the Aging Lung: Implications for Diagnosis, Therapy, and Prevention

Cited by 7 publications

References 120 publications

The Factors for the Occurrence of Pulmonary Infection after Gastrointestinal Surgery and the Construction of a Predictive Model Using sTREM-1 and TIM-4: A Retrospective Study

The Factors for the Occurrence of Pulmonary Infection after Gastrointestinal Surgery and the Construction of a Predictive Model Using sTREM-1 and TIM-4: A Retrospective Study

Nomogram predictive model for in-hospital mortality risk in elderly ICU patients with urosepsis

Pulmonary Diseases in Older Patients: Understanding and Addressing the Challenges

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