[Bacterial load of the surroundings during rigid diagnostic bronchoscopy under high frequency jet-ventilation]. / Mikrobielle Belastung der Umgebung während der Anwendung der Hochfrequenz-Jetventilation in der Bronchoskopie.

BACKGROUND: High-frequency jet ventilation (HFJV) is used in pneumological endoscopy for rigid, diagnostic, and therapeutic bronchoscopies. It is unclear to what extent the unobstructed flow of respiratory gas from the patient's lungs causes microbial contamination of the surrounding air. MATERIAL AND METHODS: After the start of the HFJV (15 min) in 16 rigid bronchoscopies, airborne pathogen measurements were taken directly at the distal endoscope outlet, at examiner height (40 cm above the endoscope outlet), at a 2 m distance from the endoscope in the room and at the supply air outlet of the examination room using an RCS air sampler. The number and type of pathogens isolated in the air samples were then determined, as well as germs in the bronchoalveolar lavage fluid (BALF) from the patient's lungs. RESULTS: An increased bacterial density (136 and 114 CFU/m3) was detected directly at the distal end of the endoscope and at examiner height at a distance of 40 cm, which decreased significantly with increasing distance from the bronchoscope (98 CFU/m3 at a distance of 2 m and 82 CFU/m3 at the supply air outlet). The most frequently detected bacteria were Staphylococcus spp., Micrococcus spp. and Bacillus spp. In the BALF, pathogens could only be cultivated in four of 16 samples, but the same pathogens were detected in the BALF and the ambient air. CONCLUSION: When performing a rigid bronchoscopy, in which patients are mechanically ventilated in a controlled manner using an open HFJV system, there is an increased pathogen load in the ambient air and therefore a potential risk for the examiner.

Prospective Evaluation of Quantitative F-18-FDG-PET/CT for Pre-Operative Thoracic Lymph Node Staging in Patients with Lung Cancer as a Target for Computer-Aided Diagnosis.

PURPOSE: Pre-operative assessment of thoracic lymphonodal (LN) involvement in patients with lung cancer (LC) is crucial when choosing the treatment modality. Visual assessment of F-18-FDG-PET/CT (PET/CT) is well established, however, there is still a need for prospective quantitative data to differentiate benign from malignant lesions which would simplify staging and guide the further implementation of computer-aided diagnosis (CAD). METHODS: In this prospective study, 37 patients with confirmed lung cancer (m/f = 24/13; age: 70 [52-83] years) were analyzed. All patients underwent PET/CT and quantitative data (standardized uptake values) were obtained. Histological results were available for 101 thoracic lymph nodes. Quantitative data were matched to determine cut-off values for delineation between benign vs. malignant lymph nodes. Furthermore, a scoring system derived from these cut-off values was established. Statistical analyses were performed through ROC analysis. RESULTS: Quantitative analysis revealed the optimal cut-off values (p < 0.01) for the differentiation between benign and malignant thoracic lymph nodes in patients suffering from lung cancer. The respective areas under the curve (AUC) ranged from 0.86 to 0.94. The highest AUC for a ratio of lymph node to healthy lung tissue was 0.94. The resulting accuracy ranged from 78.2% to 89.1%. A dedicated scoring system led to an AUC of 0.93 with a negative predictive value of 95.4%. CONCLUSION: Quantitative analysis of F-18-FDG-PET/CT data provides reliable results for delineation between benign and malignant thoracic lymph nodes. Thus, quantitative parameters can improve diagnostic accuracy and reliability and can also facilitate the handling of the steadily increasing number of clinical examinations.

Inhaler Devices in a Geriatric Patient Population: A Prospective Cross-Sectional Study on Patient Preferences.

PURPOSE: The aim of this study was to examine the perception and preference of geriatric patients for commonly used inhaler devices in Germany. PATIENTS AND METHODS: This was a prospective, open-label cross-sectional study with inpatient inhaler-naïve geriatric volunteers (age ≥ 70 years). All 106 participants were interviewed and subjected to a geriatric examination for cognitive, motor and fine motor skills before demonstrating the use of nine inhalers in random order. For each device, patients were asked to test the handling, to assess the device properties and to name the device that they would most or least prefer. RESULTS: The mean age of the patients was 80.8 years. From a selection of 7 predefined general inhaler attributes, ease of use, discrete handling and inhalation resistance were the most important for the geriatric participants. Across all inhaler devices, the volunteers needed an average of 2.47 attempts to error-free use. The device with the lowest mean number of attempts was the Nexthaler® (1.75; SD ± 0.903), followed by Spiromax® (1.96; SD ± 0.965) and Genuair® (2.05; SD ± 1.027). There was a weak to moderate correlation between the number of attempts required to ensure the correct use of these three inhalers and the patient's cognitive and fine motor skills. Fifty-nine patients (56%) chose the Nexthaler as the inhalation device that they would most prefer (p<0.001 vs other devices). This was followed by Spiromax (n=23; 22%) and Genuair (n=12; 11%). The device that was least favored was the Elpenhaler® (p<0.001 vs other devices). CONCLUSION: Patient preference and frequency of inhaler handling-errors may vary between inhaler devices. The Nexthaler was the easiest-to-use and most popular device among inhaler-naïve patients.

Inhaler devices in asthma and COPD patients - a prospective cross-sectional study on inhaler preferences and error rates.

BACKGROUND: Inhalation therapy is the backbone of asthma and COPD control. However, inhaler adherence and device mishandling continue to be a problem in real life. Some studies have shown that using a patient-preferred inhaler may reduce device handling errors and improve adherence to prescribed chronic inhaler drug therapy. The aim of this study was to compare the preferences for commonly used inhaler devices in Germany in patients with chronic obstructive respiratory disease. We also pursued the question which properties of an inhaler device are particularly important to the user and what effects age, gender and type of disease (asthma or COPD) may have on device preference and handling errors. METHODS: Prospective, open-label cross-sectional study in which 105 patients with asthma (58%) or COPD (42%) participated. Validated checklists were used to objectively assess inhaler technique and errors with 10 different placebo devices. For each device, patients were asked to test the handling, to assess the device properties and to name the device that they would most or least prefer. RESULTS: Across the 10 placebo inhaler devices tested, patients needed an average of 1.22 attempts to error-free use. The device with the lowest mean number of attempts was the Turbohaler® (1.02), followed by the Nexthaler® (1.04), the Diskus® (1.07) and the Spiromax® (1.10). Patients over 60 years vs. younger age (p = 0.002) and COPD vs. asthma patients (p = 0.016) required more attempts to ensure correct use. 41% of the study participants chose one of the devices they already used as the most preferred inhaler. Overall, 20% opted for the Spiromax®, 15% for the Nexthaler® and 14% for the Turbohaler® or a pMDI. The least preferred device was the Elpenhaler® (0%). From a selection of 7 predefined inhaler attributes, patients stated easy handling as the most important for them. This was followed by short inhalation time and low inhalation resistance. CONCLUSIONS: Patient preference may vary between inhaler devices. The lowest number of attempts to error-free use was reported for the Turbohaler® and the Nexthaler®. The Spiromax® and the Nexthaler® achieved the best overall ratings and were the devices most preferred by patients.