Wheeze Recognition Algorithm for Remote Medical Care Device in Children: Validation Study.

BACKGROUND: Since 2020, peoples' lifestyles have been largely changed due to the COVID-19 pandemic worldwide. In the medical field, although many patients prefer remote medical care, this prevents the physician from examining the patient directly; thus, it is important for patients to accurately convey their condition to the physician. Accordingly, remote medical care should be implemented and adaptable home medical devices are required. However, only a few highly accurate home medical devices are available for automatic wheeze detection as an exacerbation sign. OBJECTIVE: We developed a new handy home medical device with an automatic wheeze recognition algorithm, which is available for clinical use in noisy environments such as a pediatric consultation room or at home. Moreover, the examination time is only 30 seconds, since young children cannot endure a long examination time without crying or moving. The aim of this study was to validate the developed automatic wheeze recognition algorithm as a clinical medical device in children at different institutions. METHODS: A total of 374 children aged 4-107 months in pediatric consultation rooms of 10 institutions were enrolled in this study. All participants aged ≥6 years were diagnosed with bronchial asthma and patients ≤5 years had reported at least three episodes of wheezes. Wheezes were detected by auscultation with a stethoscope and recorded for 30 seconds using the wheeze recognition algorithm device (HWZ-1000T) developed based on wheeze characteristics following the Computerized Respiratory Sound Analysis guideline, where the dominant frequency and duration of a wheeze were >100 Hz and >100 ms, respectively. Files containing recorded lung sounds were assessed by each specialist physician and divided into two groups: 177 designated as "wheeze" files and 197 as "no-wheeze" files. Wheeze recognitions were compared between specialist physicians who recorded lung sounds and those recorded using the wheeze recognition algorithm. We calculated the sensitivity, specificity, positive predictive value, and negative predictive value for all recorded sound files, and evaluated the influence of age and sex on the wheeze detection sensitivity. RESULTS: Detection of wheezes was not influenced by age and sex. In all files, wheezes were differentiated from noise using the wheeze recognition algorithm. The sensitivity, specificity, positive predictive value, and negative predictive value of the wheeze recognition algorithm were 96.6%, 98.5%, 98.3%, and 97.0%, respectively. Wheezes were automatically detected, and heartbeat sounds, voices, and crying were automatically identified as no-wheeze sounds by the wheeze recognition algorithm. CONCLUSIONS: The wheeze recognition algorithm was verified to identify wheezing with high accuracy; therefore, it might be useful in the practical implementation of asthma management at home. Only a few home medical devices are available for automatic wheeze detection. The wheeze recognition algorithm was verified to identify wheezing with high accuracy and will be useful for wheezing management at home and in remote medical care.

Serum immunoglobulin G is a marker for the risk of opportunistic infection in steroid-dependent severe asthmatic patients.

BACKGROUND: Approximately 10% of asthmatic patients are refractory to inhaled corticosteroids and therefore need long-term oral corticosteroid therapy, which is associated with a risk of opportunistic infections due to immunosuppression. OBJECTIVE: To ascertain the applicability of serum Immunoglobulin G (IgG) as a marker for predicting the risk of opportunistic infections in patients undergoing oral corticosteroid therapy. METHODS: Three thousand asthmatics were screened, and 14 patients who had been administered daily oral corticosteroids for more than two years were enrolled. The patients enrolled were maintained under observation with ordinary check-ups and treatments for one year. After the observation period, the patients were divided into two groups according to the presence (OPI) or absence (non-OPI) of opportunistic infections during the period. The differences in the clinical parameters between the groups were investigated. RESULTS: There were no statistically significant differences in age, forced expiratory volume in 1 second (FEV(1)), smoking status or serum albumin between the groups. The serum IgG level of the OPI group was significantly lower than that of the non-OPI group (567.2±151.1 mg/dL vs. 931.6±198.8 mg/dL, p<0.01). The average total dose of corticosteroids administered during the one year period was higher in the OPI group (2,633±554.2 mg) than that in the Non-OPI group (1,793±466.2 mg) (p<0.05). There was a significant correlation between the serum IgG and total dose of corticosteroids administered during the one-year period (r = -0.75, p<0.01). The area under the receiver operating characteristic curve regarding the serum IgG and incidence of opportunistic infections was 0.97, which suggests that the serum IgG level has a high accuracy for predicting the risk of opportunistic infections. CONCLUSION: The serum IgG was therefore found to be a useful marker for predicting the risk of opportunistic infections in steroid-dependent asthmatics.

Tacrolimus and steroid treatment for acute exacerbation of idiopathic pulmonary fibrosis.

OBJECTIVE: Acute exacerbation of idiopathic pulmonary fibrosis (AE-IPF) occurs during the chronic progressive course of idiopathic pulmonary fibrosis. Mortality is estimated to be >70%, because no effective treatment has been established. We evaluated the effectiveness of combination therapy of tacrolimus and methylprednisolone for AE-IPF. METHODS: Patients of AE-IPF treated with methylprednisolone pulse therapy with or without tacrolimus (targeting 20 ng/mL) during the period between January 2001 and April 2010 were retrospectively reviewed. The primary endpoints were survival rate and duration. We also observed lactate dehydrogenase levels, partial pressure of arterial oxygen/fraction of inspired oxygen ratio (P/F ratio), KL-6, occurrence of re-exacerbation, and computed tomography score. RESULTS: Fifteen Japanese patients [tacrolimus group aged 74.2±6.0 years old (n=5), non-tacrolimus group aged 75.1±12.8 years old (n=10)] were identified. Pre-treatment clinical parameters were not significantly different between the two groups. Four of 5 tacrolimus group patients and 1 of 10 non-tacrolimus group patients survived (p<0.05). The median survival durations were >92 days (tacrolimus group) and 38 days (non-tacrolimus group) (p<0.05). Lactate dehydrogenase levels and the P/F ratio were also significantly favorable in the tacrolimus group. KL-6 and CT score were not significantly different in both groups. Four re-acute exacerbations were observed only in the non-tacrolimus group. CONCLUSION: Combined tacrolimus and methylprednisolone pulse therapy mitigates AE-IPF, prevents re-acute exacerbation, and contributes to a better prognosis.

Malignant mesothelioma associated with chronic empyema with elevation of serum CYFRA19: A case report.

Malignant neoplasms are reported to occur with long-standing tuberculous pleuritis or chronic empyema. During the clinical course of chronic empyema, subjective symptoms such as chest pain and deterioration of dyspnea and abnormal clinical signs such as increased abnormal chest shadows have frequently been found. Though difficult, differentiating the occurrence of malignant tumors from worsening chronic inflammation is crucial. We report here a case of malignant mesothelioma associated with chronic empyema with elevation of serum CYFRA19.