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THE RELATIONSHIP OF COVID-19 MORTALITY AND PROGNOSTIC NUTRITIONAL INDEX IN GERIATRIC POPULATION

Year 2024, Volume: 9 Issue: 3, 407 - 417, 31.12.2024
https://doi.org/10.25279/sak.1163623

Abstract

Introduction: We aimed to investigate the effect of Prognostic nutritional index (PNI) on prognosis and mortality among elderly patients with COVID-19 infection. Methods: 401 patients included in the study, all of them were over 65 years old. PNI was compared with laboratory and demographic data. Results: Analysis was made of 401 patients, comprising 181 (45%) females and median age of 75.8±7.7 years. Three hundred and two (75.4%) patients were in the recovered group. Mean PNI value was 41.9±5.9 in the recovered group and 36.9±7 in the exitus group (p<0.001). According to multivariate logistic regression analysis, advanced age, high maximum ferritin level, high maximum IL-6 level and PNI<40 were identified as independent risk factors predicting exitus in COVID-19 patients.
Conclusion: Prognostic models which including PNI scoring system, have been found to be useful in assessing the progression of COVID-19 and enhancing patient monitoring. Since all the patients included in our study were in the geriatric age group, the data we obtained may guide the course of COVID-19 infection, especially in patients in this age group.

Ethical Statement

The authors have no conflict of interest to declare. The author(s) received no financial support for the research, authorship, and/or publication of this article. Informed consent was obtained from all individual participants included in the study. All procedures performed in this study were conducted in accordance with the ethical standards of the institutional and / or national research committee and the 1964 Declaration of Helsinki and its subsequent amendments or comparable ethical standards. Study was approved by the Ethics Committee of XXX City Hospital,(31.03.2021, E1-21-1699)

References

  • Acharya, R., Poudel, D., Bowers, R., Patel, A., Schultz, E., Bourgeois, M., Paswan, R., Stockholm, S., Batten, M., Kafle, S., Lonial, K., & Locklear, I. (2021). Low serum albumin predicts severe outcomes in COVID-19 infection: a Single-Center Retrospective Case-Control study. Journal of Clinical Medicine Research, 13(5), 258–267. https://doi.org/10.14740/jocmr4507
  • Albitar, O., Ballouze, R., Ooi, J. P., & Ghadzi, S. M. S. (2020). Risk factors for mortality among COVID-19 patients. Diabetes Research and Clinical Practice, 166, 108293. https://doi.org/10.1016/j.diabres.2020.108293
  • Candeloro, M., Di Nisio, M., Balducci, M., Genova, S., Valeriani, E., Pierdomenico, S. D., & Porreca, E. (2020). Prognostic nutritional index in elderly patients hospitalized for acute heart failure. ESC Heart Failure, 7(5), 2479–2484. https://doi.org/10.1002/ehf2.12812
  • Cevik, M., Bamford, C., & Ho, A. (2020). COVID-19 pandemic—a focused review for clinicians. Clinical Microbiology and Infection, 26(7), 842–847. https://doi.org/10.1016/j.cmi.2020.04.023
  • Chen, C., Zhang, Y., Zhao, X., Tao, M., Yan, W., & Fu, Y. (2021). Hypoalbuminemia – an indicator of the severity and prognosis of COVID-19 patients: a multicentre retrospective analysis. Infection and Drug Resistance, Volume 14, 3699–3710. https://doi.org/10.2147/idr.s327090
  • Dhama, K., Khan, S., Tiwari, R., Sircar, S., Bhat, S., Malik, Y. S., Singh, K. P., Chaicumpa, W., Bonilla-Aldana, D. K., & Rodriguez-Morales, A. J. (2020). Coronavirus Disease 2019–COVID-19. Clinical Microbiology Reviews, 33(4). https://doi.org/10.1128/cmr.00028-20
  • Fois, A. G., Paliogiannis, P., Scano, V., Cau, S., Babudieri, S., Perra, R., Ruzzittu, G., Zinellu, E., Pirina, P., Carru, C., Arru, L. B., Fancellu, A., Mondoni, M., Mangoni, A. A., & Zinellu, A. (2020). The Systemic Inflammation Index on Admission predicts In-Hospital mortality in COVID-19 patients. Molecules, 25(23), 5725. https://doi.org/10.3390/molecules25235725
  • Grasselli, G., Greco, M., Zanella, A., Albano, G., Antonelli, M., Bellani, G., Bonanomi, E., Cabrini, L., Carlesso, E., Castelli, G., Cattaneo, S., Cereda, D., Colombo, S., Coluccello, A., Crescini, G., Molinari, A. F., Foti, G., Fumagalli, R., Iotti, G. A., . . . Zoia, E. (2020). Risk factors associated with mortality among patients with COVID-19 in intensive care units in Lombardy, Italy. JAMA Internal Medicine, 180(10), 1345. https://doi.org/10.1001/jamainternmed.2020.3539
  • Huang, J., Cheng, A., Kumar, R., Fang, Y., Chen, G., Zhu, Y., & Lin, S. (2020). Hypoalbuminemia predicts the outcome of COVID‐19 independent of age and co‐morbidity. Journal of Medical Virology, 92(10), 2152–2158. https://doi.org/10.1002/jmv.26003
  • Lagadinou, M., Salomou, E. E., Zareifopoulos, N., Marangos, M., Gogos, C., & Velissaris, D. (2020). Prognosis of COVID-19: Changes in laboratory parameters. Le Infezioni in Medicina, 28, 89–95. https://pubmed.ncbi.nlm.nih.gov/32532944/
  • Li, X., Liu, Y., Li, J., Sun, L., Yang, J., Xu, F., Zhou, J., Wan, L., Xu, X., Le, A., & Zhang, W. (2020). Immune characteristics distinguish patients with severe disease associated with SARS-CoV-2. Immunologic Research, 68(6), 398–404. https://doi.org/10.1007/s12026-020-09156-2
  • Mohamadian, M., Chiti, H., Shoghli, A., Biglari, S., Parsamanesh, N., & Esmaeilzadeh, A. (2020). COVID‐19: Virology, biology and novel laboratory diagnosis. The Journal of Gene Medicine, 23(2). https://doi.org/10.1002/jgm.3303
  • Nozoe, T., Ninomiya, M., Maeda, T., Matsukuma, A., Nakashima, H., & Ezaki, T. (2010). Prognostic nutritional Index: A tool to predict the biological aggressiveness of gastric carcinoma. Surgery Today, 40(5), 440–443. https://doi.org/10.1007/s00595-009-4065-y
  • Ouyang, Y., Yin, J., Wang, W., Shi, H., Shi, Y., Xu, B., Qiao, L., Feng, Y., Pang, L., Wei, F., Guo, X., Jin, R., & Chen, D. (2020). Downregulated gene expression spectrum and immune responses changed during the disease progression in patients with COVID-19. Clinical Infectious Diseases, 71(16), 2052–2060. https://doi.org/10.1093/cid/ciaa462
  • Shirakabe, A., Hata, N., Kobayashi, N., Okazaki, H., Matsushita, M., Shibata, Y., Nishigoori, S., Uchiyama, S., Asai, K., & Shimizu, W. (2017). The prognostic impact of malnutrition in patients with severely decompensated acute heart failure, as assessed using the Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) score. Heart and Vessels, 33(2), 134–144. https://doi.org/10.1007/s00380-017-1034-z
  • Thongprayoon, C., Cheungpasitporn, W., Chewcharat, A., Mao, M. A., Thirunavukkarasu, S., & Kashani, K. B. (2020). Risk of acute respiratory failure among hospitalized patients with various admission serum albumin levels. Medicine, 99(9), e19352. https://doi.org/10.1097/md.0000000000019352
  • Wang, R., He, M., Yin, W., Liao, X., Wang, B., Jin, X., Ma, Y., Yue, J., Bai, L., Liu, D., Zhu, T., Huang, Z., & Kang, Y. (2020). The Prognostic Nutritional Index is associated with mortality of COVID‐19 patients in Wuhan, China. Journal of Clinical Laboratory Analysis, 34(10). https://doi.org/10.1002/jcla.23566
  • Xu, Y., Liu, G., Zhao, C., Lu, S., Long, C., Zhong, H., Chen, Y., Huang, L., & Liang, Z. (2021). Prognostic value of combined preoperative carcinoembryonic antigen and prognostic nutritional index in patients with stage II–III colon cancer. Frontiers in Surgery, 8. https://doi.org/10.3389/fsurg.2021.667154
  • Xu, Y., Yang, H., Wang, J., Li, X., Xue, C., Niu, C., & Liao, P. (2021). Serum Albumin Levels are a Predictor of COVID-19 Patient Prognosis: Evidence from a Single Cohort in Chongqing, China. International Journal of General Medicine, Volume 14, 2785–2797. https://doi.org/10.2147/ijgm.s312521
  • Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., Guan, L., Wei, Y., Li, H., Wu, X., Xu, J., Tu, S., Zhang, Y., Chen, H., & Cao, B. (2020). Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. The Lancet, 395(10229), 1054–1062. https://doi.org/10.1016/s0140-6736(20)30566-3

Geriatrik Popülasyonda Prognostik Nutrisyonel İndex ve Covid19 Mortalite İlişkisi

Year 2024, Volume: 9 Issue: 3, 407 - 417, 31.12.2024
https://doi.org/10.25279/sak.1163623

Abstract

Giriş: COVID-19 enfeksiyonu geçiren yaşlı hastalarda prognostik nutrisyonel indeksin (PNI) prognoz ve mortalite üzerindeki etkisini araştırmayı amaçladık. Gereç ve Yöntemler: Çalışmaya dahil edilen 401 hasta, tümü 65 yaş üstü idi. PNI laboratuvar ve demografik verilerle karşılaştırıldı.
Bulgular: Değerlendirme 181'i (%45) kadın ve ortanca yaşı 75.8±7.7 yıl olan 401 hasta üzerinde yapıldı. Üç yüz iki (%75.4) hasta iyileşen gruptaydı. Ortalama PNI değeri iyileşen grupta 41.9±5.9, eksitus grubunda 36.9±7 idi (p<0.001). Çok değişkenli lojistik regresyon analizine göre, COVID-19 hastalarında ileri yaş, yüksek maksimum ferritin düzeyi, yüksek maksimum IL-6 düzeyi ve PNI<40 mortaliteyi öngörmede bağımsız risk faktörleri olarak belirlendi. Sonuç: PNI skorlama sistemini içeren prognostik modellerin COVID-19 progresyonunu değerlendirmede ve hasta takibini geliştirmede faydalı olduğu bulunmuştur. Çalışmamıza dahil edilen hastaların tamamı geriatrik yaş grubunda olduğundan elde ettiğimiz veriler özellikle bu yaş grubundaki hastalarda COVID-19 enfeksiyonunun seyrine kılavuz olabilir.

References

  • Acharya, R., Poudel, D., Bowers, R., Patel, A., Schultz, E., Bourgeois, M., Paswan, R., Stockholm, S., Batten, M., Kafle, S., Lonial, K., & Locklear, I. (2021). Low serum albumin predicts severe outcomes in COVID-19 infection: a Single-Center Retrospective Case-Control study. Journal of Clinical Medicine Research, 13(5), 258–267. https://doi.org/10.14740/jocmr4507
  • Albitar, O., Ballouze, R., Ooi, J. P., & Ghadzi, S. M. S. (2020). Risk factors for mortality among COVID-19 patients. Diabetes Research and Clinical Practice, 166, 108293. https://doi.org/10.1016/j.diabres.2020.108293
  • Candeloro, M., Di Nisio, M., Balducci, M., Genova, S., Valeriani, E., Pierdomenico, S. D., & Porreca, E. (2020). Prognostic nutritional index in elderly patients hospitalized for acute heart failure. ESC Heart Failure, 7(5), 2479–2484. https://doi.org/10.1002/ehf2.12812
  • Cevik, M., Bamford, C., & Ho, A. (2020). COVID-19 pandemic—a focused review for clinicians. Clinical Microbiology and Infection, 26(7), 842–847. https://doi.org/10.1016/j.cmi.2020.04.023
  • Chen, C., Zhang, Y., Zhao, X., Tao, M., Yan, W., & Fu, Y. (2021). Hypoalbuminemia – an indicator of the severity and prognosis of COVID-19 patients: a multicentre retrospective analysis. Infection and Drug Resistance, Volume 14, 3699–3710. https://doi.org/10.2147/idr.s327090
  • Dhama, K., Khan, S., Tiwari, R., Sircar, S., Bhat, S., Malik, Y. S., Singh, K. P., Chaicumpa, W., Bonilla-Aldana, D. K., & Rodriguez-Morales, A. J. (2020). Coronavirus Disease 2019–COVID-19. Clinical Microbiology Reviews, 33(4). https://doi.org/10.1128/cmr.00028-20
  • Fois, A. G., Paliogiannis, P., Scano, V., Cau, S., Babudieri, S., Perra, R., Ruzzittu, G., Zinellu, E., Pirina, P., Carru, C., Arru, L. B., Fancellu, A., Mondoni, M., Mangoni, A. A., & Zinellu, A. (2020). The Systemic Inflammation Index on Admission predicts In-Hospital mortality in COVID-19 patients. Molecules, 25(23), 5725. https://doi.org/10.3390/molecules25235725
  • Grasselli, G., Greco, M., Zanella, A., Albano, G., Antonelli, M., Bellani, G., Bonanomi, E., Cabrini, L., Carlesso, E., Castelli, G., Cattaneo, S., Cereda, D., Colombo, S., Coluccello, A., Crescini, G., Molinari, A. F., Foti, G., Fumagalli, R., Iotti, G. A., . . . Zoia, E. (2020). Risk factors associated with mortality among patients with COVID-19 in intensive care units in Lombardy, Italy. JAMA Internal Medicine, 180(10), 1345. https://doi.org/10.1001/jamainternmed.2020.3539
  • Huang, J., Cheng, A., Kumar, R., Fang, Y., Chen, G., Zhu, Y., & Lin, S. (2020). Hypoalbuminemia predicts the outcome of COVID‐19 independent of age and co‐morbidity. Journal of Medical Virology, 92(10), 2152–2158. https://doi.org/10.1002/jmv.26003
  • Lagadinou, M., Salomou, E. E., Zareifopoulos, N., Marangos, M., Gogos, C., & Velissaris, D. (2020). Prognosis of COVID-19: Changes in laboratory parameters. Le Infezioni in Medicina, 28, 89–95. https://pubmed.ncbi.nlm.nih.gov/32532944/
  • Li, X., Liu, Y., Li, J., Sun, L., Yang, J., Xu, F., Zhou, J., Wan, L., Xu, X., Le, A., & Zhang, W. (2020). Immune characteristics distinguish patients with severe disease associated with SARS-CoV-2. Immunologic Research, 68(6), 398–404. https://doi.org/10.1007/s12026-020-09156-2
  • Mohamadian, M., Chiti, H., Shoghli, A., Biglari, S., Parsamanesh, N., & Esmaeilzadeh, A. (2020). COVID‐19: Virology, biology and novel laboratory diagnosis. The Journal of Gene Medicine, 23(2). https://doi.org/10.1002/jgm.3303
  • Nozoe, T., Ninomiya, M., Maeda, T., Matsukuma, A., Nakashima, H., & Ezaki, T. (2010). Prognostic nutritional Index: A tool to predict the biological aggressiveness of gastric carcinoma. Surgery Today, 40(5), 440–443. https://doi.org/10.1007/s00595-009-4065-y
  • Ouyang, Y., Yin, J., Wang, W., Shi, H., Shi, Y., Xu, B., Qiao, L., Feng, Y., Pang, L., Wei, F., Guo, X., Jin, R., & Chen, D. (2020). Downregulated gene expression spectrum and immune responses changed during the disease progression in patients with COVID-19. Clinical Infectious Diseases, 71(16), 2052–2060. https://doi.org/10.1093/cid/ciaa462
  • Shirakabe, A., Hata, N., Kobayashi, N., Okazaki, H., Matsushita, M., Shibata, Y., Nishigoori, S., Uchiyama, S., Asai, K., & Shimizu, W. (2017). The prognostic impact of malnutrition in patients with severely decompensated acute heart failure, as assessed using the Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) score. Heart and Vessels, 33(2), 134–144. https://doi.org/10.1007/s00380-017-1034-z
  • Thongprayoon, C., Cheungpasitporn, W., Chewcharat, A., Mao, M. A., Thirunavukkarasu, S., & Kashani, K. B. (2020). Risk of acute respiratory failure among hospitalized patients with various admission serum albumin levels. Medicine, 99(9), e19352. https://doi.org/10.1097/md.0000000000019352
  • Wang, R., He, M., Yin, W., Liao, X., Wang, B., Jin, X., Ma, Y., Yue, J., Bai, L., Liu, D., Zhu, T., Huang, Z., & Kang, Y. (2020). The Prognostic Nutritional Index is associated with mortality of COVID‐19 patients in Wuhan, China. Journal of Clinical Laboratory Analysis, 34(10). https://doi.org/10.1002/jcla.23566
  • Xu, Y., Liu, G., Zhao, C., Lu, S., Long, C., Zhong, H., Chen, Y., Huang, L., & Liang, Z. (2021). Prognostic value of combined preoperative carcinoembryonic antigen and prognostic nutritional index in patients with stage II–III colon cancer. Frontiers in Surgery, 8. https://doi.org/10.3389/fsurg.2021.667154
  • Xu, Y., Yang, H., Wang, J., Li, X., Xue, C., Niu, C., & Liao, P. (2021). Serum Albumin Levels are a Predictor of COVID-19 Patient Prognosis: Evidence from a Single Cohort in Chongqing, China. International Journal of General Medicine, Volume 14, 2785–2797. https://doi.org/10.2147/ijgm.s312521
  • Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., Guan, L., Wei, Y., Li, H., Wu, X., Xu, J., Tu, S., Zhang, Y., Chen, H., & Cao, B. (2020). Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. The Lancet, 395(10229), 1054–1062. https://doi.org/10.1016/s0140-6736(20)30566-3
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Details

Primary Language English
Subjects Geriatrics and Gerontology
Journal Section Original research articles
Authors

Atacan Aras 0000-0001-5168-7285

Kamile Silay 0000-0003-0384-4957

Güneş Arık 0000-0002-4766-3982

Mercan Taştemur 0000-0003-0320-4095

İhsan Ateş 0000-0003-2858-6229

Rana Tuna Doğrul 0000-0001-9470-5113

Hande Selvi Öztorun 0000-0003-0343-8510

Erhan Özenç 0000-0003-4250-4373

Hilal Heybeli 0000-0003-1161-2961

Publication Date December 31, 2024
Submission Date August 29, 2022
Acceptance Date September 2, 2024
Published in Issue Year 2024 Volume: 9 Issue: 3

Cite

APA Aras, A., Silay, K., Arık, G., Taştemur, M., et al. (2024). THE RELATIONSHIP OF COVID-19 MORTALITY AND PROGNOSTIC NUTRITIONAL INDEX IN GERIATRIC POPULATION. Health Academy Kastamonu, 9(3), 407-417. https://doi.org/10.25279/sak.1163623

Health Academy Kastamonu is included in the class of 1-b journals (journals scanned in international indexes other than SCI, SSCI, SCI-expanded, ESCI) according to UAK associate professorship criteria. HEALTH ACADEMY KASTAMONU Journal cover is registered by the Turkish Patent Institute.