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Etkin Sevofluran Tüketiminde Yeni Parametre; Metabolik Yaş; Prospektif Gözlemsel Çalışma

Yıl 2025, Cilt: 9 Sayı: 3, 137 - 149, 30.12.2025
https://doi.org/10.33716/bmedj.1699032

Öz

ÖZET
Giriş: Anestezi idamesinde yaygın kullanılan inhaler ajanlardan sevofluran genellikle minimum alveolar konsantrasyona (MAK) göre uygulanmaktadır. MAK için yaş önemli bir değişkendir. Aynı kronolojik yaştaki iki birey farklı metabolik yaşa sahip olabilir.
Amaç: Çalışmamızda sevofluran ile yeterli anestezi derinliği sağlanan hastalarda metabolik yaş ve kronolojik yaş ile sevofluran tüketimi arasındaki ilişkiyi değerlendirmeyi ve bu sayede sevofluran tüketimini azaltarak hastane maliyetlerini ve çevre kirliliğini azaltmayı amaçladık.
Gereç ve Yöntem: Rinoplasti ve ya septoplasti planlanan 18-65 yaş arası, 79 hasta preoperatif vücut kompozisyon analizi biyoelektrik impedans analiz (BİA) yöntemi ile değerlendirildi. Hastaların kronolojik yaş, metabolik yaş ve diğer metabolik paremetreleri kaydedildi. Standart anestezi indüksiyonu ile BİS 40-60 arasında tutulacak şekilde anestezinin idamesi sağlandı. Hastalara ait Sevofluran tüketim miktarı ile kronolojik yaş ve metabolik yaşlar arasındaki ilişkiyi standardize edebilmek adına yüzde yaş farkı formülü kullanılarak hastalar 3 gruba ayrıldı. Hastalar Grup A: yüzde yaş farkı -%6.6 dan küçük, Grup B: yüzde yaş farkı -%6.6 ile %11.7 arasında, Grup C: yüzde yaş farkı %11.7 den büyük olanlar olarak adlandırıldı. Grupların dakikadaki sevofluran tüketim miktarı karşılaştırıldı.

Bulgular: Çalışmaya 79 hasta dahil edildi. %29.1 kadındı. Hastaların kronolojik yaş ortalaması 31.29 ± 11.9, metabolik yaş ortalaması 30,42 ± 12,89 idi. Hastaların dakikadaki sevofluran tüketim miktarı ortalaması 0,19 ± 0,04 ml/dk idi. Kronolojik yaş ve metabolik yaş ile total sevofluran tüketimi arasında istatistiksel olarak anlamlı fark saptandı (p=0,006; p=0,007), ve negatif yönde zayıf korelasyon gözlendi (r= -0,304; r= -0,301).
Hastalar gruplara ayrılarak değerlendirildiğinde ağırlıkları, VKİ, yağ kütlesi, obezite derecesi açısından gruplar karşılaştırıldığında bu üç grup arasında istatistiksel olarak anlamlı farklılık izlendi. Grup A da bu parametrelerin daha yüksek olduğu görüldü(p<0,001). Gruplar BMH açısından karşılaştırıldığında bu üç grup arasında istatistiksel olarak anlamlı fark gözlenmedi (p=0,118).
Sonuç: Çalışmamızda yeterli anestezi derinliği sağlanan hastalarda metabolik yaş, kronolojik yaşdan büyük olduğunda tüketilen sevofluran miktarının daha düşük olduğu görülmüştür. İnhalasyon anestezisi uygulamalarında metabolik yaşın kullanımının sevofluran tüketimini azaltacağını düşünmekteyiz.

Etik Beyan

Bu çalışma için İnönü Üniversitesi Turgut Özal Tıp Merkazi Klinik Araştırmalar Etik Kurulu’ndan 31/08/2022 tarih ve 2022/92 karar no ile onay alınmıştır. Çalışma Helsinki Deklarasyonu’na ve ilgili ulusal etik ilkelere uygun şekilde gerçekleştirilmiş olup, çalışmaya katılan tüm hastalardan bilgilendirilmiş onam alınmıştır.

Destekleyen Kurum

yok

Proje Numarası

IRB number(Ethical Approval): Malatya Clinical Research Institutional Review Board Protocol no 2022/92---Clinical trial registration number: NCT06018597

Teşekkür

Bu çalışmanın yürütülmesinde katkı sağlayan tüm klinik ve akademik ekip arkadaşlarımıza teşekkür ederiz.

Kaynakça

  • Stachnik, J. L. (2006). Inhaled anesthetic agents. American Journal of Health-System Pharmacy, 63(7), 623–634. https://doi.org/10.2146/ajhp050460
  • Pietrobelli, A., Rubiano, F., St-Onge, M.-P., & Heymsfield, S. B. (2004). New bioimpedance analysis system: Improved phenotyping with whole-body analysis. European Journal of Clinical Nutrition, 58(11), 1479–1484. https://doi.org/10.1038/sj.ejcn.1601993
  • Tannir, H., Itani, L., Kreidieh, D., El Masri, D., & El Ghoch, M. (2022). Can intentional weight loss ameliorate sarcopenia in individuals with obesity? A longitudinal interventional study. Clinics and Practice, 12(1), 106–112. https://doi.org/10.3390/clinpract12010012
  • Leuciuc, F. V., Craciun, M. D., Holubiac, I. S., Mohammed, M. A., Abdulkareem, K. H., & Pricop, G. (2021). Statistical medical pattern recognition for body composition data using bioelectrical impedance analyzer. Computers, Materials & Continua, 67(2), 2601–2617. https://doi.org/10.32604/cmc.2021.014863
  • Colak, Y. Z., & Toprak, H. I. (2021). Feasibility, safety, and economic consequences of using minimal flow anaesthesia by Maquet FLOW-i equipped with automated gas control. Scientific Reports, 11, 20074. https://doi.org/10.1038/s41598-021-99648-4
  • Alnemri, A., Sussman, S., Estephan, L., Hamilton, C., Stewart, M., Zhan, T., et al. (2022). Cost of total intravenous anesthesia versus inhalation anesthesia in obstructive sleep apnea surgery. Laryngoscope, 132(7), 1487–1494. https://doi.org/10.1002/lary.29834
  • Monk, T. G., Saini, V., Weldon, B. C., & Sigl, J. C. (2005). Anesthetic management and one-year mortality after noncardiac surgery. Anesthesia & Analgesia, 100(1), 4–10. https://doi.org/10.1213/01.ANE.0000147519.82841.5E
  • Pandit, J. J., Cook, T. M., Jonker, W. R., & O’Sullivan, E. (2013). A national survey of anaesthetists [NAP5 baseline] to estimate an annual incidence of accidental awareness during general anaesthesia in the UK. British Journal of Anaesthesia, 110(4), 501–509. https://doi.org/10.1093/bja/aet015
  • Griffiths, R., Beech, F., Brown, A., Dhesi, J., Foo, I., Goodall, J., et al. (2014). Peri-operative care of the elderly 2014: Association of Anaesthetists of Great Britain and Ireland. Anaesthesia, 69(Suppl 1), 81–98. https://doi.org/10.1111/anae.12524
  • Aho, A. J., Kamata, K., Jäntti, V., Kulkas, A., Hagihira, S., Huhtala, H., et al. (2015). Comparison of Bispectral Index and Entropy values with electroencephalogram during surgical anaesthesia with sevoflurane. British Journal of Anaesthesia, 115(2), 258–266. https://doi.org/10.1093/bja/aev206
  • Morimoto, Y., Hagihira, S., Yamashita, S., Iida, Y., Matsumoto, M., & Tsuruta, S. (2006). Changes in electroencephalographic bicoherence during sevoflurane anesthesia combined with intravenous fentanyl. Anesthesia & Analgesia, 103(3), 641–645. https://doi.org/10.1213/01.ane.0000229699.99371.3c
  • Poon, Y. Y., Chang, H. C., Chiang, M. H., Hung, K. C., Lu, H. F., Wang, C. H., et al. (2020). “A real-world evidence” in reduction of volatile anesthetics by BIS-guided anesthesia. Scientific Reports, 10, 11245. https://doi.org/10.1038/s41598-020-68193-x
  • Hagihira, S., Takashina, M., Mori, T., Ueyama, H., & Mashimo, T. (2004). Electroencephalographic bicoherence is sensitive to noxious stimuli during isoflurane or sevoflurane anesthesia. Anesthesiology, 100(4), 818–825. https://doi.org/10.1097/00000542-200404000-00011
  • Georgevici, A. I., Kyprianou, T., Herzog Niescery, J., Procopiuc, L., Loganathan, S., Weber, T. P., et al. (2021). Negative drift of sedation depth in critically ill patients receiving constant minimum alveolar concentration of isoflurane, sevoflurane, or desflurane: A randomized controlled trial. Critical Care, 25, 141. https://doi.org/10.1186/s13054-021-03556-y
  • Punjasawadwong, Y., Phongchiewboon, A., & Bunchungmongkol, N. (2014). Bispectral index for improving anaesthetic delivery and postoperative recovery. Cochrane Database of Systematic Reviews, 2014(6), CD003843. https://doi.org/10.1002/14651858.cd003843.pub3
  • Kanazawa, S., Oda, Y., Maeda, C., & Okutani, R. (2017). Electroencephalographic effect of age-adjusted 1 MAC desflurane and sevoflurane in young, middle-aged, and elderly patients. Journal of Anesthesia, 31(5), 744–750. https://doi.org/10.1007/s00540-017-2391-6
  • Kanazawa, S., Oda, Y., Maeda, C., & Okutani, R. (2016). Age-dependent decrease in desflurane concentration for maintaining bispectral index below 50. Acta Anaesthesiologica Scandinavica, 60(2), 177–182. https://doi.org/10.1111/aas.12642
  • Matsuura, T., Oda, Y., Tanaka, K., Mori, T., Nishikawa, K., & Asada, A. (2009). Advance of age decreases the minimum alveolar concentrations of isoflurane and sevoflurane for maintaining bispectral index below 50. British Journal of Anaesthesia, 102(3), 331–335. https://doi.org/10.1093/bja/aen382
  • D’Agostino, R. B., Vasan, R. S., Pencina, M. J., Wolf, P. A., Cobain, M., Massaro, J. M., et al. (2008). General cardiovascular risk profile for use in primary care. Circulation, 117(6), 743–753. https://doi.org/10.1161/circulationaha.107.699579
  • Kyle, U. G., Bosaeus, I., De Lorenzo, A. D., Deurenberg, P., Elia, M., Gómez, J. M., et al. (2004). Bioelectrical impedance analysis—Part I: Review of principles and methods. Clinical Nutrition, 23(5), 1226–1243. https://doi.org/10.1016/j.clnu.2004.06.004
  • Yabuta, S., Masaki, M., & Shidoji, Y. (2016). Associations of buccal cell telomere length with daily intake of beta-carotene or alpha-tocopherol are dependent on carotenoid metabolism-related gene polymorphisms in healthy Japanese adults. Journal of Nutrition, Health & Aging, 20(3), 267–274. https://doi.org/10.1007/s12603-015-0577-x
  • Gunn, D. A., Rexbye, H., Griffiths, C. E., Murray, P. G., Fereday, A., Catt, S. D., et al. (2009). Why some women look young for their age. PLoS ONE, 4(12), e8021. https://doi.org/10.1371/journal.pone.0008021
  • Elguezabal-Rodelo, R., Ochoa-Précoma, R., Vazquez-Marroquin, G., Porchia, L. M., Montes-Arana, I., Torres-Rasgado, E., et al. (2021). Metabolic age correlates better than chronological age with waist-to-height ratio, a cardiovascular risk index. Medicina Clínica, 157(9), 409–417. https://doi.org/10.1016/j.medcli.2020.07.026
  • Donma, M. M., & Donma, O. (2019). Evaluation of obesity degree from the points of view of chronological as well as metabolic ages. Namık Kemal Medical Journal, 7(1), 8–12. doi:undefined.
  • Gerald, C. H., & Eclaire, M. D. (2020). Effective age resulting from metabolic changes. Journal of Clinical and Experimental Immunology, 5(1), 133. https://doi.org/10.15406/mojgg.2020.05.00237
  • Mehrdad, R., Pouragha, H., Vesal, M., Pouryaghoub, G., Naderzadeh, M., & Alemohammad, Z. (2021). Metabolic age: A new predictor for metabolic syndrome. Turkish Journal of Endocrinology and Metabolism, 25(1), 78–86. https://doi.org/10.25179/tjem.2020-79234
  • Odin, I., & Feiss, P. (2005). Low flow and economics of inhalational anaesthesia. Best Practice & Research Clinical Anaesthesiology, 19(3), 399–413. https://doi.org/10.1016/j.bpa.2005.01.006
  • Lerou, J. G. C., & Booij, L. H. D. J. (2001). Model-based administration of inhalation anaesthesia: Developing a system model. British Journal of Anaesthesia, 86(1), 12–28. https://doi.org/10.1093/bja/86.1.12
  • Tyagi, A., Venkateswaran, V., Jain, A. K., & Verma, U. C. (2014). Cost analysis of three techniques of administering sevoflurane. Anesthesiology Research and Practice, 2014, 459432. https://doi.org/10.1155/2014/459432
  • Nair, B. G., Peterson, G. N., Neradilek, M. B., Newman, S. F., Huang, E. Y., & Schwid, H. A. (2013). Reducing wastage of inhalation anesthetics using real-time decision support to notify of excessive fresh gas flow. Anesthesiology, 118(4), 874–884. https://doi.org/10.1097/ALN.0b013e3182829de0
  • Miller, S. A., Aschenbrenner, C. A., Traunero, J. R., Bauman, L. A., Lobell, S. S., Kelly, J. S., et al. (2016). $1.8 million and counting: How volatile agent education has decreased our spending $1000 per day. Journal of Clinical Anesthesia, 35, 253–258. https://doi.org/10.1016/j.jclinane.2016.07.003

Relationship Between Effective Sevoflurane Consumption and Metabolic Age- A Prospective Observational Study

Yıl 2025, Cilt: 9 Sayı: 3, 137 - 149, 30.12.2025
https://doi.org/10.33716/bmedj.1699032

Öz

Abstract
Background: Sevoflurane is usually administered according to the minimum alveolar concentration. Age is an important variable affecting the minimum alveolar concentration and it should be kept in mind that two individuals of the same chronologic age may have different metabolic ages. The purpose of this study is to evaluate the relationship between metabolic age, chronological age and sevoflurane consumption in patients with sufficient depth of anesthesia.
Methods: Bioelectrical impedance analysis of 79 patients aged 18-65 years, chronological age, metabolic age and other metabolic parameters were recorded. To standardize the relationship between sevoflurane consumption and chronological age and metabolic age, patients were divided into three groups using the percentage age difference formula; Group A; age difference <-6.6%, Group B; age difference -6.6%-11.7%, Group C; age difference >11.7%.
Results: The study included 79 patients, 29.1% of whom were women. The mean chronologic and metabolic ages of the patients were 31.29 ± 11.9 and 30.42 ± 12.89 years, respectively. A significant difference was seen between chronologic and metabolic age and total sevoflurane consumption (p=0.006; p=0.007) and a weak negative correlation was observed (r= -0.304; r=-0.301). When the sevoflurane consumption amounts of the groups were compared, a notable difference was observed among the three groups (p<0.001). Sevoflurane consumption was higher in patients whose metabolic age was younger than chronologic age compared to other groups.
Conclusion: Metabolic age was associated with sevoflurane consumption, and sevoflurane consumption decreased in patients with chronologic age older than metabolic age.

Proje Numarası

IRB number(Ethical Approval): Malatya Clinical Research Institutional Review Board Protocol no 2022/92---Clinical trial registration number: NCT06018597

Kaynakça

  • Stachnik, J. L. (2006). Inhaled anesthetic agents. American Journal of Health-System Pharmacy, 63(7), 623–634. https://doi.org/10.2146/ajhp050460
  • Pietrobelli, A., Rubiano, F., St-Onge, M.-P., & Heymsfield, S. B. (2004). New bioimpedance analysis system: Improved phenotyping with whole-body analysis. European Journal of Clinical Nutrition, 58(11), 1479–1484. https://doi.org/10.1038/sj.ejcn.1601993
  • Tannir, H., Itani, L., Kreidieh, D., El Masri, D., & El Ghoch, M. (2022). Can intentional weight loss ameliorate sarcopenia in individuals with obesity? A longitudinal interventional study. Clinics and Practice, 12(1), 106–112. https://doi.org/10.3390/clinpract12010012
  • Leuciuc, F. V., Craciun, M. D., Holubiac, I. S., Mohammed, M. A., Abdulkareem, K. H., & Pricop, G. (2021). Statistical medical pattern recognition for body composition data using bioelectrical impedance analyzer. Computers, Materials & Continua, 67(2), 2601–2617. https://doi.org/10.32604/cmc.2021.014863
  • Colak, Y. Z., & Toprak, H. I. (2021). Feasibility, safety, and economic consequences of using minimal flow anaesthesia by Maquet FLOW-i equipped with automated gas control. Scientific Reports, 11, 20074. https://doi.org/10.1038/s41598-021-99648-4
  • Alnemri, A., Sussman, S., Estephan, L., Hamilton, C., Stewart, M., Zhan, T., et al. (2022). Cost of total intravenous anesthesia versus inhalation anesthesia in obstructive sleep apnea surgery. Laryngoscope, 132(7), 1487–1494. https://doi.org/10.1002/lary.29834
  • Monk, T. G., Saini, V., Weldon, B. C., & Sigl, J. C. (2005). Anesthetic management and one-year mortality after noncardiac surgery. Anesthesia & Analgesia, 100(1), 4–10. https://doi.org/10.1213/01.ANE.0000147519.82841.5E
  • Pandit, J. J., Cook, T. M., Jonker, W. R., & O’Sullivan, E. (2013). A national survey of anaesthetists [NAP5 baseline] to estimate an annual incidence of accidental awareness during general anaesthesia in the UK. British Journal of Anaesthesia, 110(4), 501–509. https://doi.org/10.1093/bja/aet015
  • Griffiths, R., Beech, F., Brown, A., Dhesi, J., Foo, I., Goodall, J., et al. (2014). Peri-operative care of the elderly 2014: Association of Anaesthetists of Great Britain and Ireland. Anaesthesia, 69(Suppl 1), 81–98. https://doi.org/10.1111/anae.12524
  • Aho, A. J., Kamata, K., Jäntti, V., Kulkas, A., Hagihira, S., Huhtala, H., et al. (2015). Comparison of Bispectral Index and Entropy values with electroencephalogram during surgical anaesthesia with sevoflurane. British Journal of Anaesthesia, 115(2), 258–266. https://doi.org/10.1093/bja/aev206
  • Morimoto, Y., Hagihira, S., Yamashita, S., Iida, Y., Matsumoto, M., & Tsuruta, S. (2006). Changes in electroencephalographic bicoherence during sevoflurane anesthesia combined with intravenous fentanyl. Anesthesia & Analgesia, 103(3), 641–645. https://doi.org/10.1213/01.ane.0000229699.99371.3c
  • Poon, Y. Y., Chang, H. C., Chiang, M. H., Hung, K. C., Lu, H. F., Wang, C. H., et al. (2020). “A real-world evidence” in reduction of volatile anesthetics by BIS-guided anesthesia. Scientific Reports, 10, 11245. https://doi.org/10.1038/s41598-020-68193-x
  • Hagihira, S., Takashina, M., Mori, T., Ueyama, H., & Mashimo, T. (2004). Electroencephalographic bicoherence is sensitive to noxious stimuli during isoflurane or sevoflurane anesthesia. Anesthesiology, 100(4), 818–825. https://doi.org/10.1097/00000542-200404000-00011
  • Georgevici, A. I., Kyprianou, T., Herzog Niescery, J., Procopiuc, L., Loganathan, S., Weber, T. P., et al. (2021). Negative drift of sedation depth in critically ill patients receiving constant minimum alveolar concentration of isoflurane, sevoflurane, or desflurane: A randomized controlled trial. Critical Care, 25, 141. https://doi.org/10.1186/s13054-021-03556-y
  • Punjasawadwong, Y., Phongchiewboon, A., & Bunchungmongkol, N. (2014). Bispectral index for improving anaesthetic delivery and postoperative recovery. Cochrane Database of Systematic Reviews, 2014(6), CD003843. https://doi.org/10.1002/14651858.cd003843.pub3
  • Kanazawa, S., Oda, Y., Maeda, C., & Okutani, R. (2017). Electroencephalographic effect of age-adjusted 1 MAC desflurane and sevoflurane in young, middle-aged, and elderly patients. Journal of Anesthesia, 31(5), 744–750. https://doi.org/10.1007/s00540-017-2391-6
  • Kanazawa, S., Oda, Y., Maeda, C., & Okutani, R. (2016). Age-dependent decrease in desflurane concentration for maintaining bispectral index below 50. Acta Anaesthesiologica Scandinavica, 60(2), 177–182. https://doi.org/10.1111/aas.12642
  • Matsuura, T., Oda, Y., Tanaka, K., Mori, T., Nishikawa, K., & Asada, A. (2009). Advance of age decreases the minimum alveolar concentrations of isoflurane and sevoflurane for maintaining bispectral index below 50. British Journal of Anaesthesia, 102(3), 331–335. https://doi.org/10.1093/bja/aen382
  • D’Agostino, R. B., Vasan, R. S., Pencina, M. J., Wolf, P. A., Cobain, M., Massaro, J. M., et al. (2008). General cardiovascular risk profile for use in primary care. Circulation, 117(6), 743–753. https://doi.org/10.1161/circulationaha.107.699579
  • Kyle, U. G., Bosaeus, I., De Lorenzo, A. D., Deurenberg, P., Elia, M., Gómez, J. M., et al. (2004). Bioelectrical impedance analysis—Part I: Review of principles and methods. Clinical Nutrition, 23(5), 1226–1243. https://doi.org/10.1016/j.clnu.2004.06.004
  • Yabuta, S., Masaki, M., & Shidoji, Y. (2016). Associations of buccal cell telomere length with daily intake of beta-carotene or alpha-tocopherol are dependent on carotenoid metabolism-related gene polymorphisms in healthy Japanese adults. Journal of Nutrition, Health & Aging, 20(3), 267–274. https://doi.org/10.1007/s12603-015-0577-x
  • Gunn, D. A., Rexbye, H., Griffiths, C. E., Murray, P. G., Fereday, A., Catt, S. D., et al. (2009). Why some women look young for their age. PLoS ONE, 4(12), e8021. https://doi.org/10.1371/journal.pone.0008021
  • Elguezabal-Rodelo, R., Ochoa-Précoma, R., Vazquez-Marroquin, G., Porchia, L. M., Montes-Arana, I., Torres-Rasgado, E., et al. (2021). Metabolic age correlates better than chronological age with waist-to-height ratio, a cardiovascular risk index. Medicina Clínica, 157(9), 409–417. https://doi.org/10.1016/j.medcli.2020.07.026
  • Donma, M. M., & Donma, O. (2019). Evaluation of obesity degree from the points of view of chronological as well as metabolic ages. Namık Kemal Medical Journal, 7(1), 8–12. doi:undefined.
  • Gerald, C. H., & Eclaire, M. D. (2020). Effective age resulting from metabolic changes. Journal of Clinical and Experimental Immunology, 5(1), 133. https://doi.org/10.15406/mojgg.2020.05.00237
  • Mehrdad, R., Pouragha, H., Vesal, M., Pouryaghoub, G., Naderzadeh, M., & Alemohammad, Z. (2021). Metabolic age: A new predictor for metabolic syndrome. Turkish Journal of Endocrinology and Metabolism, 25(1), 78–86. https://doi.org/10.25179/tjem.2020-79234
  • Odin, I., & Feiss, P. (2005). Low flow and economics of inhalational anaesthesia. Best Practice & Research Clinical Anaesthesiology, 19(3), 399–413. https://doi.org/10.1016/j.bpa.2005.01.006
  • Lerou, J. G. C., & Booij, L. H. D. J. (2001). Model-based administration of inhalation anaesthesia: Developing a system model. British Journal of Anaesthesia, 86(1), 12–28. https://doi.org/10.1093/bja/86.1.12
  • Tyagi, A., Venkateswaran, V., Jain, A. K., & Verma, U. C. (2014). Cost analysis of three techniques of administering sevoflurane. Anesthesiology Research and Practice, 2014, 459432. https://doi.org/10.1155/2014/459432
  • Nair, B. G., Peterson, G. N., Neradilek, M. B., Newman, S. F., Huang, E. Y., & Schwid, H. A. (2013). Reducing wastage of inhalation anesthetics using real-time decision support to notify of excessive fresh gas flow. Anesthesiology, 118(4), 874–884. https://doi.org/10.1097/ALN.0b013e3182829de0
  • Miller, S. A., Aschenbrenner, C. A., Traunero, J. R., Bauman, L. A., Lobell, S. S., Kelly, J. S., et al. (2016). $1.8 million and counting: How volatile agent education has decreased our spending $1000 per day. Journal of Clinical Anesthesia, 35, 253–258. https://doi.org/10.1016/j.jclinane.2016.07.003
Toplam 31 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Anesteziyoloji
Bölüm Araştırma Makalesi
Yazarlar

Tuğçe Gazioğlu Kişi 0009-0002-2336-1848

Duygu Demiröz Aslan 0000-0002-4241-4514

Oya Olcay Yılmaz 0000-0002-5436-3654

Bahar Uslu Bayhan 0009-0009-3052-2604

Proje Numarası IRB number(Ethical Approval): Malatya Clinical Research Institutional Review Board Protocol no 2022/92---Clinical trial registration number: NCT06018597
Gönderilme Tarihi 14 Mayıs 2025
Kabul Tarihi 18 Kasım 2025
Yayımlanma Tarihi 30 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 9 Sayı: 3

Kaynak Göster

APA Gazioğlu Kişi, T., Demiröz Aslan, D., Yılmaz, O. O., Uslu Bayhan, B. (2025). Relationship Between Effective Sevoflurane Consumption and Metabolic Age- A Prospective Observational Study. Balıkesir Medical Journal, 9(3), 137-149. https://doi.org/10.33716/bmedj.1699032