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1.
Respir Care ; 69(4): 415-421, 2024 Mar 27.
Article in English | MEDLINE | ID: mdl-38167212

ABSTRACT

BACKGROUND: Impulse oscillometry (IOS) is a noninvasive technique that measures lung physiology independently of patient effort. In the present study, we aimed to investigate the utility of IOS parameters in comparison with pulmonary function testing (PFT) among hospitalized subjects, with emphasis on obstructive and small airway diseases. METHODS: Sixty-one subjects hospitalized either with unexplained dyspnea or for pre-surgery evaluation were included in the study. All subjects underwent PFTs and IOS test. The correlation between IOS results and PFTs was examined in different subgroups. The ability of IOS parameters to predict abnormal PFTs was evaluated using the area under the receiver operating characteristic (ROC) curve, and optimal cutoff values were calculated. RESULTS: IOS results were found to correlate with PFT values. Subgroup analysis revealed that these correlations were higher in younger (age < 70) and non-obese (body mass index < 25kg/m2) subjects. The resonant frequency was an independent predictor and had the best predictive ability for abnormal FEV1/FVC (area under the ROC curve 0.732 [95% CI 0.57-0.90], optimal cutoff 17 Hz, 87% sensitivity, 62% specificity) and abnormal forced expiratory flow during the middle half of the FVC maneuver (area under the ROC curve 0.667 [95% CI 0.53-0.81], optimal cutoff 15 Hz, 77% sensitivity, 54% specificity). Area of reactance and the difference in respiratory resistance at 5 Hz and 20 Hz also showed a good predictive ability for abnormal FEV1/FVC (area under the ROC curve 0.716 and 0.730, respectively). CONCLUSIONS: We found that the IOS performed well in diagnosing small airway and obstructive diseases among hospitalized subjects. IOS might serve as an alternative to standard PFTs in non-cooperative or dyspneic hospitalized patients.


Subject(s)
Asthma , Pulmonary Disease, Chronic Obstructive , Adult , Humans , Oscillometry/methods , Spirometry , Respiratory Function Tests/methods , Dyspnea , Forced Expiratory Volume
2.
Isr Med Assoc J ; 20(3): 147-150, 2018 Mar.
Article in English | MEDLINE | ID: mdl-29527851

ABSTRACT

BACKGROUND: Accurate pulse oximetry reading at hospital admission is of utmost importance, mainly for patients presenting with hypoxemia. Nevertheless, there is no accepted or evidence-based protocol for such structured measuring. OBJECTIVES: To devise and assess a structured protocol intended to increase the accuracy of pulse oximetry measurement at hospital admission. METHODS: The authors performed a prospective comparison of protocol-based pulse-oximetry measurement with non-protocol based readings in consecutive patients at hospital admission. They also calculated the relative percentage of improvement for each patient (before and after protocol implementation) as a fraction of the change in peripheral capillary oxygen saturation (SpO2) from 100%. RESULTS: A total of 460 patients were recruited during a 6 month period. Implementation of a structured measurement protocol significantly changed saturation values. The SpO2 values of 24.7% of all study participants increased after protocol implementation (ranging from 1% to 21% increase in SpO2 values). Among hypoxemic patients (initial SpO2 < 90%), protocol implementation had a greater impact on final SpO2 measurements, increasing their median SpO2 readings by 4% (3-8% interquartile range; P < 0.05). Among this study population, 50% of the cohort improved by 17% of their overall potential and 25% improved by 50% of their overall improvement potential. As for patients presenting with hypoxemia, the median improvement was 31% of their overall SpO2 potential. CONCLUSIONS: Structured, protocol based pulse-oximetry may improve measurement accuracy and reliability. The authors suggest that implementation of such protocols may improve the management of hypoxemic patients.


Subject(s)
Hospitalization , Hypoxia/diagnosis , Oximetry/methods , Oxygen/metabolism , Patient Admission , Aged , Aged, 80 and over , Female , Humans , Hypoxia/therapy , Male , Middle Aged , Prospective Studies , Reproducibility of Results
3.
BMC Health Serv Res ; 15: 246, 2015 Jun 25.
Article in English | MEDLINE | ID: mdl-26108373

ABSTRACT

BACKGROUND: Prolonged, inappropriate hospital stay after patients' eligibility for discharge from internal medicine departments is a world-wide health-care systems' problem. Nevertheless, the extent to which such surplus hospital stays are associated with infectious complications, their time frame of appearance and their long-term implications was not previously addressed. METHODS: We conducted a retrospective cohort analysis of patients experiencing an In-hospital Waiting Period (IHWP) after discharge eligibility in a single, tertiary hospital. RESULTS: We screened the records of 245 patients out of which 104 patients fulfilled our inclusion criteria. The mean length of IHWP was 15.7 ± 4.79 day during which 9(8.7 %) patients died. The study primary composite end-point, in-hospital mortality or hospital acquired infection (pneumonia, UTI or sepsis) occurred in 32(31 %) patients. The most hazardous time was during the first 3 IHWP days: 63.7 % of patients experienced a complication and 44 % of the total complications occurred during this period. The occurrence of any complication during IHWP was associated, with statistical significance, with increased risk of mortality during the first year after IHWP initiation (HR = 6.02, p = 0.014). CONCLUSION: Prolongation of hospital stay after patients are deemed to be discharged from internal medicine departments is associated with increased morbidity and mortality, mainly during the first surplus days of in-hospital stay. Efforts should be made to shorten such hospital stays as much as possible.


Subject(s)
Cross Infection/etiology , Hospital Mortality , Length of Stay , Morbidity , Patient Discharge , Aged , Aged, 80 and over , Eligibility Determination , Female , Humans , Male , Pneumonia/mortality , Retrospective Studies , Risk Assessment/methods , Sepsis , Time Factors
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