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  <title>ScholarWorks Community:</title>
  <link rel="alternate" href="https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/334" />
  <subtitle />
  <id>https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/334</id>
  <updated>2026-04-04T11:53:23Z</updated>
  <dc:date>2026-04-04T11:53:23Z</dc:date>
  <entry>
    <title>Exploration of Cough Counts and Epochs in Patients with Asthma and Interstitial Lung Disease</title>
    <link rel="alternate" href="https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/64172" />
    <author>
      <name>Jung, Jiyoung</name>
    </author>
    <author>
      <name>Lee, Kiwook</name>
    </author>
    <author>
      <name>Song, Catherine</name>
    </author>
    <author>
      <name>Park, Jong Sun</name>
    </author>
    <author>
      <name>Kwon, Byoung Soo</name>
    </author>
    <author>
      <name>Kim, Min-Hye</name>
    </author>
    <author>
      <name>Kim, Byung-Keun</name>
    </author>
    <author>
      <name>Lee, Sang Min</name>
    </author>
    <author>
      <name>Yang, Min-Suk</name>
    </author>
    <id>https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/64172</id>
    <updated>2023-12-13T11:31:13Z</updated>
    <published>20230609-01-01T00:00:00Z</published>
    <summary type="text">Title: Exploration of Cough Counts and Epochs in Patients with Asthma and Interstitial Lung Disease
Authors: Jung, Jiyoung; Lee, Kiwook; Song, Catherine; Park, Jong Sun; Kwon, Byoung Soo; Kim, Min-Hye; Kim, Byung-Keun; Lee, Sang Min; Yang, Min-Suk
Abstract: Background: Cough counts are widely used for cough studies in patients with various respiratory diseases. The cough epoch is a cluster of cough counts,1 which may reveal the severity of coughs and cough patterns that are indiscernible with cough count alone. Despite its potential clinical importance, cough epochs are not as commonly investigated. One of the few previous studies was conducted on the nighttime cough epoch focused on COPD patients.2 In this study, we observed both the cough counts and cough epochs in patients with asthma and interstitial lung disease (ILD).

Methods: In order to observe the cough epochs in respiratory patients, we retrospectively analyzed the data from two independent clinical studies. Cough sounds were recorded from 21 ILD patients recruited in Seoul National University Bundang Hospital and from 24 patients with asthma exacerbation recruited in 7 academic medical centers in South Korea. The ILD patients recorded coughs for 5 consecutive days on two occasions separated by a 3-month period (10 total days), and the asthmatic patients recorded coughs for 7 consecutive days. Both groups recorded for 2 h in awake time and 5 h in sleep time daily, and they received the standard treatment throughout the study. Cough events from recordings were detected by the Coughy AI algorithm,2 and the cough epochs were calculated by counting the number of continuous coughing sounds without a 2-s pause as defined in Morice et al.1 Finally, the trends of cough and epoch frequency over days were compared in each study group.

Results: The cough frequency and the epoch frequency both decreased over the course of treatment in awake and sleep time for patients with asthma exacerbation as shown in Fig. 1(a) and (c). The correlation between the cough frequency and epoch frequency was high with R2 of 0.986 and 0.949, respectively. However, in ILD patients, two cough measures didn’t show a decreasing trend clearly nor moved together over days with no clear correlation (R2) of 0.125 in awake time and 0.521 in sleep time (Fig. 1(b) and (d)).

Conclusion: We have observed the trend of cough and epoch frequency over time and how they are correlated. Based on our study, the two cough measures showed different trends over the course of treatment in patients with asthma and ILD. A larger population study will be needed to pursue these initial observations and find a clinical role of the cough epoch for respiratory patients.</summary>
    <dc:date>20230609-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>METABOLIC PROFILE INVESTIGATION REVEALS WIDE VARIABILITY IN THE EXPOSURE OF ISONIAZID AND ITS HEPATOTOXIC METABOLITES IN TUBERCULOSIS PATIENTS</title>
    <link rel="alternate" href="https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/63752" />
    <author>
      <name>Anh, N.</name>
    </author>
    <author>
      <name>Tung, P.</name>
    </author>
    <author>
      <name>Jang, T.</name>
    </author>
    <author>
      <name>Min, J.</name>
    </author>
    <author>
      <name>Kim, J.</name>
    </author>
    <author>
      <name>Oh, J.</name>
    </author>
    <author>
      <name>Lee, H.</name>
    </author>
    <author>
      <name>Lee, H.</name>
    </author>
    <author>
      <name>Kim, H.</name>
    </author>
    <author>
      <name>Park, H.</name>
    </author>
    <author>
      <name>Lee, H.</name>
    </author>
    <author>
      <name>Park, I.</name>
    </author>
    <author>
      <name>Mok, J.</name>
    </author>
    <author>
      <name>Lee, J.</name>
    </author>
    <author>
      <name>Ahn, S.</name>
    </author>
    <author>
      <name>Long, N.</name>
    </author>
    <author>
      <name>Cho, Y.</name>
    </author>
    <author>
      <name>Shin, J.</name>
    </author>
    <id>https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/63752</id>
    <updated>2023-12-13T11:31:01Z</updated>
    <published>20230324-01-01T00:00:00Z</published>
    <summary type="text">Title: METABOLIC PROFILE INVESTIGATION REVEALS WIDE VARIABILITY IN THE EXPOSURE OF ISONIAZID AND ITS HEPATOTOXIC METABOLITES IN TUBERCULOSIS PATIENTS
Authors: Anh, N.; Tung, P.; Jang, T.; Min, J.; Kim, J.; Oh, J.; Lee, H.; Lee, H.; Kim, H.; Park, H.; Lee, H.; Park, I.; Mok, J.; Lee, J.; Ahn, S.; Long, N.; Cho, Y.; Shin, J.
Abstract: Background
Isoniazid  (INH)  is  a  first‐line  agent  for  the  treatment  of  tuberculosis (TB), a global health crisis. INH and its metabolites exposure variability  could  influence  the  effectiveness  and  toxicity  of  INH‐based  therapy.  To  assess  the interindividual differences in INH metabolism and distribution we investigated the impact of clinical and pharmacogenetic factors on the metabolic profiles of the drug.

Methods
A  targeted  profiling  of  INH  and  its  four  major  metabolites  (i.e.,  acetylisoniazid,  isonicotinic  acid,  hydrazine,  and  acetylhydrazine)  in  plasma  of  965  TB  patient  was  performed  using  liquid  chromatography–tandem  mass  spectrometry.  N‐acetyltransferase  2  (NAT2)  genotypes  were  also  determined  for  patients’ acetylator phenotypes. After removing non‐compliance subjects, 876 TB patients’  INH  metabolic  profiles,  including  345  rapid,  412  intermediate  and  119  slow acetylator, were selected for subsequent analyses. The distribution of INH and its metabolites was examined during 24 hour time‐course to characterize their exposure variabilities in different acetylators and clinical factors.

Results
The median concentration of INH in its time‐course was 2.5‐ fold and 1.8‐ fold higher in slow acetylator compared to rapid and intermediate acetylator, respectively. Median concentrations of hydrazine, the hepatotoxic metabolite, were over 1.7‐  fold  higher  in  slow  acetylator  compared  to  other  NAT2  phenotypes. The  meta-bolic ratio distribution of INH was significantly associated with NAT2 phenotypes.

Conclusion
INH metabolic profiles are markedly associated with acetyl-ator phenotypes of TB patients. Our findings provide a proof of concept towards implementing an acetylator phenotype‐based dosing for a safe and effective INH‐ based therapy.</summary>
    <dc:date>20230324-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>DEVELOPMENT OF POPULATION PHARMACOKINETICS MODEL OF PYRAZINAMIDE AND OPTIMAL DOSE RECOMMENDATION FOR ELDERLY WITH DIABETES MELLITUS IN KOREAN TUBERCULOSIS PATIENTS</title>
    <link rel="alternate" href="https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/63753" />
    <author>
      <name>Kim, R.</name>
    </author>
    <author>
      <name>Jayanti, R.</name>
    </author>
    <author>
      <name>Jang, T.</name>
    </author>
    <author>
      <name>Min, J.</name>
    </author>
    <author>
      <name>Kim, J.</name>
    </author>
    <author>
      <name>Oh, J.</name>
    </author>
    <author>
      <name>Lee, H.</name>
    </author>
    <author>
      <name>Lee, H.</name>
    </author>
    <author>
      <name>Shin, K.</name>
    </author>
    <author>
      <name>Kang, B.</name>
    </author>
    <author>
      <name>Kim, H.</name>
    </author>
    <author>
      <name>Ko, Y.</name>
    </author>
    <author>
      <name>Kim, J.</name>
    </author>
    <author>
      <name>Choi, Y.</name>
    </author>
    <author>
      <name>Nguyen, P.</name>
    </author>
    <author>
      <name>Cho, Y.</name>
    </author>
    <author>
      <name>Shin, J.</name>
    </author>
    <id>https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/63753</id>
    <updated>2023-12-13T11:31:01Z</updated>
    <published>20230323-01-01T00:00:00Z</published>
    <summary type="text">Title: DEVELOPMENT OF POPULATION PHARMACOKINETICS MODEL OF PYRAZINAMIDE AND OPTIMAL DOSE RECOMMENDATION FOR ELDERLY WITH DIABETES MELLITUS IN KOREAN TUBERCULOSIS PATIENTS
Authors: Kim, R.; Jayanti, R.; Jang, T.; Min, J.; Kim, J.; Oh, J.; Lee, H.; Lee, H.; Shin, K.; Kang, B.; Kim, H.; Ko, Y.; Kim, J.; Choi, Y.; Nguyen, P.; Cho, Y.; Shin, J.
Abstract: Background
Diabetes  mellitus  (DM)  is  common  comorbidity  that  ap-peared among the elderly population, likely to complicate their clinical conditions. The  effect  of  DM  on  the  pharmacokinetics  (PK)  of  anti‐tuberculosis  (TB)  drugs  remained  arguable.  However,  DM  potentially  hampered  successful  TB  treatment.  Through  the  development  of  the  population  PK  model,  we  aimed  to  provide  op-timal  dosing  of  pyrazinamide  (PZA)  for  the  geriatric  DM  population  with  TB  in  regard to the probability of achieving the PK target.

Methods
PZA concentrations at random post‐dose points, demographic characteristics, and clinical information were collected in a multicenter prospective  cohort  study  from  13  hospitals  in  Korea.  Population  PK  model  was  developed  using  a  non‐linear  mixed  effect  method  and  dose  simulation  was  carried  out. Data from 610 TB patients were divided into a training and test dataset with a 4 to 1 ratio.

Results
A  one‐compartment  model  with  allometric  scaling  for  body  size  effect adequately described PK parameters of PZA. Geriatric patients (&amp;gt; 70 years old) with DM were found as significant covariates, increasing the apparent clear-ance  (CL/F)  of  PZA  by  30%  (CL/F:  4.49  L/h).  Our  model  was  externally  evaluated using the test set and provided better predictive performance compared to the previously published model. Following our simulations to assess efficacy and toxicity,  geriatric  DM  patients  with  TB  required  higher  doses  of  PZA  in  order  to  achieve  the  area  under  concentration  from  0  to  24  hours  (AUC0‐ 24)  target  of  ≥363 mg/h/L.

Conclusion
The established population PK model sufficiently described the PK parameters of PZA in Korean TB patients. Our model can be useful in therapeutic  drug  monitoring  to  suggest  the  optimal  dose  of  PZA,  particularly  for  the  geriatric DM population with TB.EP‐ 014.</summary>
    <dc:date>20230323-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Final Report on Real-World Effectiveness of Sequential Afatinib and Osimertinib in EGFR-Positive Advanced Non-Small Cell Lung Cancer: Updated Analysis of the RESET Study</title>
    <link rel="alternate" href="https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/64379" />
    <author>
      <name>Kim, Taeyun</name>
    </author>
    <author>
      <name>Jang, Tae Won</name>
    </author>
    <author>
      <name>Choi, Chang Min</name>
    </author>
    <author>
      <name>Kim, Mi-Hyun</name>
    </author>
    <author>
      <name>Lee, Sung Yong</name>
    </author>
    <author>
      <name>Chang, Yoon Soo</name>
    </author>
    <author>
      <name>Lee, Kye Young</name>
    </author>
    <author>
      <name>Kim, Seung Joon</name>
    </author>
    <author>
      <name>Yang, Sei Hoon</name>
    </author>
    <author>
      <name>Ryu, Jeong Seon</name>
    </author>
    <author>
      <name>Lee, Jeong Eun</name>
    </author>
    <author>
      <name>Lee, Shin Yup</name>
    </author>
    <author>
      <name>Park, Chan Kwon</name>
    </author>
    <author>
      <name>Lee, Sang Hoon</name>
    </author>
    <author>
      <name>Jang, Seung Hun</name>
    </author>
    <author>
      <name>Yoon, Seong Hoon</name>
    </author>
    <author>
      <name>Oh, Hyung-Joo</name>
    </author>
    <id>https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/64379</id>
    <updated>2024-07-11T11:00:53Z</updated>
    <published>2023-10-01T00:00:00Z</published>
    <summary type="text">Title: Final Report on Real-World Effectiveness of Sequential Afatinib and Osimertinib in EGFR-Positive Advanced Non-Small Cell Lung Cancer: Updated Analysis of the RESET Study
Authors: Kim, Taeyun; Jang, Tae Won; Choi, Chang Min; Kim, Mi-Hyun; Lee, Sung Yong; Chang, Yoon Soo; Lee, Kye Young; Kim, Seung Joon; Yang, Sei Hoon; Ryu, Jeong Seon; Lee, Jeong Eun; Lee, Shin Yup; Park, Chan Kwon; Lee, Sang Hoon; Jang, Seung Hun; Yoon, Seong Hoon; Oh, Hyung-Joo
Abstract: Purpose This study aimed to report the final analysis of time-on-treatment (TOT) and overall survival (OS) in patients with advanced -stage epidermal growth factor receptor (EGFR)+ non-small cell lung cancer (NSCLC) who received sequential afatinib and osimertinib and to compare the outcomes with other second-line regimens (comparator group).Materials and Methods In this updated report, the existing medical records were reviewed and rechecked. TOT and OS were updated and analyzed according to clinical features using the Kaplan-Meier method and log-rank test. TOT and OS were compared with those of the comparator group, in which most patients received pemetrexed-based treatments. A multivariable Cox proportional hazard model was used to evaluate features that could affect survival outcomes.Results The median observation time was 31.0 months. The follow-up period was extended to 20 months. A total of 401 patients who received first-line afatinib were analyzed (166 with T790M+ and second-line osimertinib, and 235 with unproven T790M and other second-line agents). Median TOTs on afatinib and osimertinib were 15.0 months (95% confidence interval [CI], 14.0 to 16.1) and 11.9 months (95% CI, 8.9 to 14.6), respectively. The median OS in the osimertinib group was 54.3 months (95% CI, 46.7 to 61.9), much longer than that in the comparator group. In patients who received osimertinib, the OS was longest with Del19+ (median, 59.1; 95% CI, 48.7 to 69.5).Conclusion This is one of the largest real-world studies reporting the encouraging activity of sequential afatinib and osimertinib in Asian patients with EGFR+ NSCLC who acquired the T790M mutation, particularly Del19+.</summary>
    <dc:date>2023-10-01T00:00:00Z</dc:date>
  </entry>
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