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Tsuda Y, Takahashi M, Watanabe F, Goto K, Echizen H. Population Pharmacokinetic Analysis of Vancomycin in Patients with Solid or Hematological Malignancy in Relation to the Quick Sequential Organ Failure Assessment Scores. Eur J Drug Metab Pharmacokinet 2023; 48:647-655. [PMID: 37695498 DOI: 10.1007/s13318-023-00850-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2023] [Indexed: 09/12/2023]
Abstract
BACKGROUND AND OBJECTIVE It remains unclear whether sepsis in patients with malignancy interferes with the predictive performance of the dose-estimation formulas. The quick sequential organ failure assessment (qSOFA) score can help identify patients with poor outcomes because of sepsis-associated organ damage. Vancomycin, an important antibiotic, treats systemic infections (sepsis) caused by methicillin-resistant Staphylococcus aureus. We aimed to clarify whether including the qSOFA score in a standard population pharmacokinetic (PopPK) assessment may improve the predictive performance of vancomycin doses in patients with malignancy. METHODS This was a retrospective, observational study. Serum vancomycin concentration-time datasets were obtained from the therapeutic drug monitoring records of St. Luke's International Hospital (Tokyo, Japan) from January 2011 to August 2016. Clinical and laboratory data of the relevant patients were retrieved from electronic health records. PopPK analysis was performed using the NONMEM program, which includes creatinine clearance (CLCr), blood neutrophil counts, qSOFA scores, and type of malignancy as covariates. We examined the validity of the final PopPK model using bootstrapping, goodness-of-fit plots, and prediction-corrected visual predictive checks. RESULTS Six hundred and eight blood samples were obtained from 325 patients. In the final PopPK model, the CLCr and qSOFA scores were selected as covariates of systemic vancomycin clearance (p < 0.05): the population mean value was 2.8 (L/h). Regardless of the CLCr, a qSOFA score of greater than 1 was associated with an approximately 10% reduction in vancomycin clearance. CONCLUSIONS qSOFA scores might be an additional covariate to CLCr for estimating vancomycin concentrations with a PopPK model in patients with malignancy.
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Affiliation(s)
- Yasumasa Tsuda
- Department of Pharmacy, St. Luke's International Hospital, 9-1 Akashi-cho, Chuo-ku, Tokyo, 104-8560, Japan.
| | - Masahiro Takahashi
- Department of Pharmacotherapy, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose, Tokyo, 204-8588, Japan
| | - Fumiya Watanabe
- Department of Pharmacometrics and Pharmacokinetics, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose, Tokyo, 204-8588, Japan
| | - Kazumi Goto
- Department of Pharmacy, St. Luke's International Hospital, 9-1 Akashi-cho, Chuo-ku, Tokyo, 104-8560, Japan
| | - Hirotoshi Echizen
- Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose, Tokyo, 204-8588, Japan
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Arai H, Maeda K, Wakabayashi H, Naito T, Konishi M, Assantachai P, Auyeung WT, Chalermsri C, Chen W, Chew J, Chou M, Hsu C, Hum A, Hwang IG, Kaido T, Kang L, Kamaruzzaman SB, Kim M, Lee JSW, Lee W, Liang C, Lim WS, Lim J, Lim YP, Lo RS, Ong T, Pan W, Peng L, Pramyothin P, Razalli NH, Saitoh M, Shahar S, Shi HP, Tung H, Uezono Y, von Haehling S, Won CW, Woo J, Chen L. Diagnosis and outcomes of cachexia in Asia: Working Consensus Report from the Asian Working Group for Cachexia. J Cachexia Sarcopenia Muscle 2023; 14:1949-1958. [PMID: 37667992 PMCID: PMC10570088 DOI: 10.1002/jcsm.13323] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 07/05/2023] [Accepted: 08/02/2023] [Indexed: 09/06/2023] Open
Abstract
Chronic diseases often lead to metabolic disorders, causing anabolic resistance and increased energy consumption, which result in cachexia. Cachexia, in turn, can lead to major clinical consequences such as impaired quality of life, shortened life expectancy, and increased healthcare expenditure. Existing international diagnostic criteria for cachexia employ thresholds derived from Western populations, which may not apply to Asians due to differing body compositions. To address this issue, the Asian Working Group for Cachexia (AWGC) was initiated. The AWGC comprises experts in cachexia research and clinical practice from various Asian countries and aims to develop a consensus on diagnostic criteria and significant clinical outcomes for cachexia in Asia. The AWGC, composed of experts in cachexia research and clinical practice from several Asian countries, undertook three-round Delphi surveys and five meetings to reach a consensus. Discussions were held on etiological diseases, essential diagnostic items for cachexia, including subjective and objective symptoms and biomarkers, and significant clinical outcomes. The consensus highlighted the importance of multiple diagnostic factors for cachexia, including chronic diseases, either or both weight loss or low body mass index, and at least one of the following: anorexia, decreased grip strength (<28 kg in men and <18 kg in women), or elevated C-reactive protein levels (>5 mg/L [0.5 mg/dL]). The AWGC proposed a significant weight change of 2% or more over a 3-6 month period and suggested a tentative cut-off value of 21 kg/m2 for low body mass index in diagnosing cachexia. Critical clinical outcomes were determined to be mortality, quality of life as assessed by tools such as EQ-5D or the Functional Assessment of Anorexia/Cachexia Therapy, and functional status as measured by the Clinical Frailty Scale or Barthel Index, with significant emphasis on patient-reported outcomes. The AWGC consensus offers a comprehensive definition and user-friendly diagnostic criteria for cachexia, tailored specifically for Asian populations. This consensus is set to stimulate future research and enhance the multidisciplinary approach to managing cachexia. With plans to develop further guidelines for the optimal treatment, prevention, and care of cachexia in Asians, the AWGC criteria are expected to drive research across chronic co-morbidities and cancer in Asia, leading to future refinement of diagnostic criteria.
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Affiliation(s)
- Hidenori Arai
- National Center for Geriatrics and GerontologyObuJapan
| | - Keisuke Maeda
- Nutrition Therapy Support CenterAichi Medical University HospitalNagakuteJapan
- Department of Geriatric MedicineNational Center for Geriatrics and GerontologyObuJapan
| | - Hidetaka Wakabayashi
- Department of Rehabilitation MedicineTokyo Women's Medical University HospitalTokyoJapan
| | - Tateaki Naito
- Division of Thoracic OncologyShizuoka Cancer CenterShizuokaJapan
| | - Masaaki Konishi
- Department of CardiologyYokohama City University School of MedicineYokohamaJapan
| | | | - Wai Tung Auyeung
- Jockey Club Institute of AgeingThe Chinese University of Hong KongShatinHong KongChina
| | - Chalobol Chalermsri
- Department of Preventive and Social Medicine, Division of Geriatric Medicine, Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
- Department of Women's and Children's HealthUppsala UniversityUppsalaSweden
| | - Wei Chen
- Department of Clinical Nutrition, Department of Health MedicinePeking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Justin Chew
- Department of Geriatric MedicineTan Tock Seng HospitalSingapore
- Institute of Geriatrics and Active AgeingTan Tock Seng HospitalSingapore
| | - Ming‐Yueh Chou
- Center for Geriatrics and GerontologyKaohsiung Veterans General HospitalKaohsiung CityTaiwan
| | - Chih‐Cheng Hsu
- National Center for Geriatrics and Welfare ResearchMiaoli CountyTaiwan
| | - Allyn Hum
- Department of Geriatrics and Palliative CareTan Tock Seng HospitalSingapore
| | - In Gyu Hwang
- Department of Internal MedicineChung‐Ang University Hospital, Chung‐Ang University College of MedicineSeoulRepublic of Korea
| | - Toshimi Kaido
- Department of Gastroenterological and General SurgerySt. Luke's International HospitalTokyoJapan
| | - Lin Kang
- Department of Geriatric MedicinePeking Union Medical College HospitalBeijingChina
| | | | - Miji Kim
- Department of Biomedical Science and Technology, College of Medicine, East‐West Medical Research InstituteKyung Hee UniversitySeoulRepublic of Korea
| | - Jenny Shun Wah Lee
- Institute of AgingThe Chinese University of Hong Kong, Department of Medicine, Alice Ho Miu Ling Nethersole HospitalTai PoHong Kong
| | - Wei‐Ju Lee
- Aging and Health Research CenterNational Yang Ming Chiao Tung UniversityTaipei CityTaiwan
| | - Chih‐Kuang Liang
- Center for Geriatrics and GerontologyKaohsiung Veterans General HospitalKaohsiung CityTaiwan
- Center for Healthy Longevity and Aging SciencesNational Yang Ming Chiao Tung UniversityTaipei CityTaiwan
| | - Wee Shiong Lim
- Department of Geriatric Medicine, Institute of Geriatric MedicineTan Tock Seng HospitalSingapore
- Lee Kong Chian School of MedicineNanyang Technological UniversitySingapore
| | - Jae‐Young Lim
- Department of Rehabilitation MedicineSeoul National University College of Medicine, Seoul National University Bundang HospitalSeongnamRepublic of Korea
| | - Yen Peng Lim
- Department of Nutrition and DieteticsTan Tock Seng HospitalSingapore
| | - Raymond See‐Kit Lo
- Department of Medicine and TherapeuticsChinese University of Hong Kong, Shatin HospitalMa On ShanHong Kong
| | - Terence Ong
- Department of Medicine, Faculty of MedicineUniversity MalayaKuala LumpurMalaysia
| | - Wen‐Harn Pan
- Institute of Biomedical SciencesAcademia Sinica, TaiwanTaipei CityTaiwan
| | - Li‐Ning Peng
- Aging and Health Research CenterNational Yang Ming Chiao Tung UniversityTaipei CityTaiwan
| | - Pornpoj Pramyothin
- Division of Nutrition, Department of Medicine, Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | - Nurul Huda Razalli
- Centre for Healthy Aging and Wellness (H‐CARE), Faculty of Health SciencesUniversiti Kebangsaan Malaysia, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul AzizKuala LumpurMalaysia
| | - Masakazu Saitoh
- Department of Physical Therapy, Faculty of Health ScienceJuntendo UniversityTokyoJapan
| | - Suzana Shahar
- Center for Healthy Aging and Wellness, Faculty Health SciencesUniversiti Kebangsaan MalaysiaKuala LumpurMalaysia
| | - Han Ping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical University of ChinaBeijingChina
| | - Heng‐Hsin Tung
- National Yang Ming Chiao Tung UniversityTaipei CityTaiwan
| | - Yasuhito Uezono
- Department of Pain Control ResearchThe Jikei University School of MedicineTokyoJapan
| | - Stephan von Haehling
- Department of Cardiology and PneumologyUniversity of Goettingen Medical Center, Georg‐August‐University GoettingenGoettingenGermany
- German Center for Cardiovascular Research (DZHK), partner site GöttingenGöttingenGermany
| | - Chang Won Won
- Department of Family MedicineCollege of Medicine, Kyung Hee UniversitySeoulRepublic of Korea
| | - Jean Woo
- Department of Medicine & TherapeuticsThe Chinese University of Hong Kong, Prince of Wales HospitalHong Kong SARChina
| | - Liang‐Kung Chen
- Center for Healthy Longevity and Aging SciencesNational Yang Ming Chiao Tung UniversityTaipei CityTaiwan
- Center for Geriatrics and GerontologyTaipei Veterans General Hospital; Taipei Municipal Gan‐Dau HospitalTaipei CityTaiwan
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Ghasemiyeh P, Vazin A, Mohammadi-Samani S. A Brief Review of Pharmacokinetic Assessments of Vancomycin in Special Groups of Patients with Altered Pharmacokinetic Parameters. Curr Drug Saf 2023; 18:425-439. [PMID: 35927907 DOI: 10.2174/1574886317666220801124718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 05/22/2022] [Accepted: 05/26/2022] [Indexed: 11/22/2022]
Abstract
Vancomycin is considered the drug of choice against many Gram-positive bacterial infections. Therapeutic drug monitoring (TDM) is essential to achieve an optimum clinical response and avoid vancomycin-induced adverse reactions including nephrotoxicity. Although different studies are available on vancomycin TDM, still there are controversies regarding the selection among different pharmacokinetic parameters including trough concentration, the area under the curve to minimum inhibitory concentration ratio (AUC24h/MIC), AUC of intervals, elimination constant, and vancomycin clearance. In this review, different pharmacokinetic parameters for vancomycin TDM have been discussed along with corresponding advantages and disadvantages. Also, vancomycin pharmacokinetic assessments are discussed in patients with altered pharmacokinetic parameters including those with renal and/or hepatic failure, critically ill patients, patients with burn injuries, intravenous drug users, obese and morbidly obese patients, those with cancer, patients undergoing organ transplantation, and vancomycin administration during pregnancy and lactation. An individualized dosing regimen is required to guarantee the optimum therapeutic responses and minimize adverse reactions including acute kidney injury in these special groups of patients. According to the pharmacoeconomic data on vancomycin TDM, pharmacokinetic assessments would be cost-effective in patients with altered pharmacokinetics and are associated with shorter hospitalization period, faster clinical stability status, and shorter courses of inpatient vancomycin administration.
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Affiliation(s)
- Parisa Ghasemiyeh
- Department of Clinical Pharmacy, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran
- Pharmaceutical Sciences Research Center, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Afsaneh Vazin
- Department of Clinical Pharmacy, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Soliman Mohammadi-Samani
- Pharmaceutical Sciences Research Center, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Pharmaceutics, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran
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Mu F, Cui C, Tang M, Guo G, Zhang H, Ge J, Bai Y, Zhao J, Cao S, Wang J, Guan Y. Analysis of a machine learning-based risk stratification scheme for acute kidney injury in vancomycin. Front Pharmacol 2022; 13:1027230. [PMID: 36506557 PMCID: PMC9730034 DOI: 10.3389/fphar.2022.1027230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 11/11/2022] [Indexed: 11/25/2022] Open
Abstract
Vancomycin-associated acute kidney injury (AKI) continues to pose a major challenge to both patients and healthcare providers. The purpose of this study is to construct a machine learning framework for stratified predicting and interpreting vancomycin-associated AKI. Our study is a retrospective analysis of medical records of 724 patients who have received vancomycin therapy from 1 January 2015 through 30 September 2020. The basic clinical information, vancomycin dosage and days, comorbidities and medication, laboratory indicators of the patients were recorded. Machine learning algorithm of XGBoost was used to construct a series risk prediction model for vancomycin-associated AKI in different underlying diseases. The vast majority of sub-model performed best on the corresponding sub-dataset. Additionally, the aim of this study was to explain each model and to explore the influence of clinical variables on prediction. As the results of the analysis showed that in addition to the common indicators (serum creatinine and creatinine clearance rate), some other underappreciated indicators such as serum cystatin and cumulative days of vancomycin administration, weight and age, neutrophils and hemoglobin were the risk factors for cancer, diabetes mellitus, heptic insufficiency respectively. Stratified analysis of the comorbidities in patients with vancomycin-associated AKI further confirmed the necessity for different patient populations to be studied.
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Affiliation(s)
- Fei Mu
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Chen Cui
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Meng Tang
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Guiping Guo
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Haiyue Zhang
- Department of Health Statistics, School of Preventive Medicine, Fourth Military Medical University, Xi’an, China
| | - Jie Ge
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Yujia Bai
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Jinyi Zhao
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Shanshan Cao
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Jingwen Wang
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China,*Correspondence: Jingwen Wang, ; Yue Guan,
| | - Yue Guan
- Department of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi’an, China,*Correspondence: Jingwen Wang, ; Yue Guan,
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The characteristics and impact indicator of vancomycin pharmacokinetics in cancer patients complicated with severe pneumonia. J Infect Chemother 2020; 26:492-497. [PMID: 31983615 DOI: 10.1016/j.jiac.2019.12.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 12/20/2019] [Accepted: 12/27/2019] [Indexed: 11/21/2022]
Abstract
OBJECTIVE This study was designed to investigate the characteristics and impact indicator of vancomycin pharmacokinetics in cancer patients complicated with severe pneumonia. METHODS Fifty-seven cancer patients complicated with severe pneumonia were included in this research. Vancomycin serum trough concentrations were measured using the fluorescence polarization immunoassay (FPIA) method. The Bayesian estimator was used to calculate the pharmacokinetic parameters. RESULTS The average initial therapeutic dose of vancomycin was 15.18 ± 3.29 mg/kg (q12 h). Our study shows that vancomycin initial trough concentrations measured in cancer patients are significantly reduced (6.54 ± 3.11 mg/L; p < 0.0001) compared with the recommended standard vancomycin trough concentration (10-15 or 15-20 mg/L). Meanwhile, the clearance (CL) and volume of distribution (Vd) of vancomycin was increased significantly in cancer patients. Multivariate linear regression analysis revealed that Cys-C was the most important variable for vancomycin trough concentration (r2 = 0.439). The relationships between vancomycin trough concentrations and Cys-C were further evaluated after the 57 patients were grouped by cut-off point (1.44 mg/L) of the serum Cys- C levels before vancomycin was administered. Compared with group Early group (Cys-C>1.44 mg/L), Delayed group (Cys-C≤1.44 mg/L) had much lower trough concentrations. Meanwhile, CL and CLcr were significantly increased in Delayed group (Cys-C≤1.44 mg/L). Although the clinical outcomes were similar between two groups, the duration of vasoactive agent in Early group was considerably shorter compared with Delayed group (χ2 = 4.213; p < 0.05). CONCLUSIONS The serum trough concentration of vancomycin was significantly reduced in cancer patients complicated with severe pneumonia. Higher dosage regimen is needed to ensure clinical effectiveness. The Cys-C level measured prior to administration of vancomycin is suggested to be the most suitable parameter to predict whether vancomycin trough concentration is up to standard dosage. Especially for patients with baseline Cys-c less than 1.44 mg/L, it is more likely to need higher dosage algorithm.
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