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Original Articles
Epidemiological, imaging, laboratory, and clinical characteristics and factors related to mortality in patients with COVID-19: a single-center study
Zohreh Azarkar, Hamid Salehiniya, Toba Kazemi, Hamid Abbaszadeh
Osong Public Health Res Perspect. 2021;12(3):169-176.   Published online May 26, 2021
DOI: https://doi.org/10.24171/j.phrp.2021.0012
  • 3,907 View
  • 107 Download
  • 5 Citations
AbstractAbstract PDF
Objectives
Coronavirus disease 2019 (COVID-19) is a novel pandemic. Considerable differences in disease severity and the mortality rate have been observed in different parts of the world. The present study investigated the characteristics and outcomes of patients hospitalized with COVID-19 in Iran.
Methods
We established a retrospective cohort to study hospitalized COVID-19 patients in Iran. Epidemiological, imaging, laboratory, and clinical characteristics and outcomes were recorded from medical documents. The chi-square test, t-test, and logistic regression models were used to analyze the data. A p<0.05 was considered to indicate statistical significance.
Results
In total, 364 cases (207 males and 157 females) were analyzed. The most common symptoms were cough, fever, and dyspnea. Multifocal bilateral ground-glass opacities with peripheral distribution were the predominant imaging finding. The mean age of patients was 54.28±18.81 years. The mean age of patients who died was 71.50±14.60 years. The mortality rate was 17.6%. The total proportion of patients with a comorbidity was 47.5%, and 84.4% of patients who died had a comorbidity. Sex, history of diabetes mellitus, and dyslipidemia were not significantly associated with mortality (p>0.05). However, mortality showed significant relationships with body mass index; age; history of hypertension, chronic kidney disease (CKD), ischemic heart disease, cerebrovascular accident (CVA), pulmonary disease, and cancer; and abnormal high-resolution computed tomography (HRCT) findings (p<0.05 for all). Cancer had the highest odds ratio.
Conclusion
Comorbidities (especially cancer, CKD, and CVA), severe obesity, old age, and abnormal HRCT findings affected the health outcomes of patients hospitalized with COVID-19.

Citations

Citations to this article as recorded by  
  • The association between stroke and COVID-19-related mortality: a systematic review and meta-analysis based on adjusted effect estimates
    Shuwen Li, Jiahao Ren, Hongjie Hou, Xueya Han, Jie Xu, Guangcai Duan, Yadong Wang, Haiyan Yang
    Neurological Sciences.2022; 43(7): 4049.     CrossRef
  • Mental health status of dentists during COVID‐19 pandemic: A systematic review and meta‐analysis
    Hamid Salehiniya, Sare Hatamian, Hamid Abbaszadeh
    Health Science Reports.2022;[Epub]     CrossRef
  • Laboratory biomarker predictors for disease progression and outcome among Egyptian COVID-19 patients
    Lamiaa A Fathalla, Lamyaa M Kamal, Omina Salaheldin, Mahmoud A Khalil, Mahmoud M Kamel, Hagar H Fahim, Youssef AS Abdel-Moneim, Jawaher A Abdulhakim, Ahmed S Abdel-Moneim, Yomna M El-Meligui
    International Journal of Immunopathology and Pharm.2022; 36: 039463202210962.     CrossRef
  • Effects of SARS-CoV-2 infections in patients with cancer on mortality, ICU admission and incidence: a systematic review with meta-analysis involving 709,908 participants and 31,732 cancer patients
    Mehmet Emin Arayici, Nazlican Kipcak, Ufuktan Kayacik, Cansu Kelbat, Deniz Keskin, Muhammed Emin Kilicarslan, Ahmet Veli Kilinc, Sumeyye Kirgoz, Anil Kirilmaz, Melih Alihan Kizilkaya, Irem Gaye Kizmaz, Enes Berkin Kocak, Enver Kochan, Begum Kocpinar, Fatm
    Journal of Cancer Research and Clinical Oncology.2022;[Epub]     CrossRef
  • Obesity and Infection: What Have We Learned From the COVID-19 Pandemic
    Emilia Vassilopoulou, Roxana Silvia Bumbacea, Aikaterini Konstantina Pappa, Athanasios N. Papadopoulos, Dragos Bumbacea
    Frontiers in Nutrition.2022;[Epub]     CrossRef
Characteristics of Inpatients Who Survive Suicide Attempts
Sang Mi Kim, Hyun-Sook Lee
Osong Public Health Res Perspect. 2019;10(1):32-38.   Published online February 28, 2019
DOI: https://doi.org/10.24171/j.phrp.2019.10.1.07
  • 3,732 View
  • 150 Download
  • 1 Citations
AbstractAbstract PDF
Objectives

The purpose of this study was to analyze the characteristics and factors affecting the survival of inpatients admitted following a suicide attempt.

Methods

A total of 3,095 cases retrieved from the Korean National Hospital Discharge In-depth Injury Survey data (from 2011 to 2015) were grouped according to survival and death and analyzed using descriptive statistics chi-square and logistic regression analysis.

Results

The following factors had statistically significant risks on reducing survival: female (OR = 2.352, p < 0.001), 40–59 years old (OR = 0.606, p = 0.014), over 60 years old (OR = 0.186, p < 0.001), poisoning (OR = 0.474, p = 0.009), hanging (OR = 0.031, p < 0.001), jumping (OR = 0.144, p < 0.001), conflicts with family (OR = 2.851, p < 0.001), physical diseases (OR = 1.687, p = 0.046), mental health problems (OR = 2.693, p < 0.001), financial problems (OR = 3.314, p = 0.002), 2014 (OR = 2.498, p = < 0.001) and 2015 (OR = 2.942, p = 0.005).

Conclusion

The survival group that had a history of attempted suicide (high-risk suicide group), should be further characterized. It is necessary to identify the suicide methods and risk factors for suicide prevention management policies and to continuously expand the management policy according to these characteristics.

Citations

Citations to this article as recorded by  
  • Loss to follow-up in a population-wide brief contact intervention to prevent suicide attempts - The VigilanS program, France
    Larissa Djembi Fossi, Christophe Debien, Anne-Laure Demarty, Guillaume Vaiva, Antoine Messiah, Xenia Gonda
    PLOS ONE.2022; 17(3): e0263379.     CrossRef
Analysis of Hospital Volume and Factors Influencing Economic Outcomes in Cancer Surgery: Results from a Population-based Study in Korea
Jung-A Lee, So-Young Kim, Keeho Park, Eun-Cheol Park, Jong-Hyock Park
Osong Public Health Res Perspect. 2017;8(1):34-46.   Published online February 28, 2017
DOI: https://doi.org/10.24171/j.phrp.2017.8.1.05
  • 3,038 View
  • 29 Download
  • 6 Citations
AbstractAbstract PDF
Objectives

To evaluate associations between hospital volume, costs, and length of stay (LOS), and clinical and demographic outcome factors for five types of cancer resection. The main dependent variables were cost and LOS; the primary independent variable was volume.

Methods

Data were obtained from claims submitted to the Korean National Health Insurance scheme. We identified patients who underwent the following surgical procedures: pneumonectomy, colectomy, mastectomy, cystectomy, and esophagectomy. Hospital volumes were divided into quartiles.

Results

Independent predictors of high costs and long LOS included old age, low health insurance contribution, non-metropolitan residents, emergency admission, Charlson score > 2, public hospital ownership, and teaching hospitals. After adjusting for relevant factors, there was an inverse relationship between volume and costs/LOS. The highest volume hospitals had the lowest procedure costs and LOS. However, this was not observed for cystectomy.

Conclusion

Our findings suggest an association between patient and clinical factors and greater costs and LOS per surgical oncologic procedure, with the exception of cystectomy. Yet, there were no clear associations between hospitals’ cost of care and risk-adjusted mortality.

Citations

Citations to this article as recorded by  
  • Volume-outcome relationships in laryngeal trauma processes of care: a retrospective cohort study
    David Forner, Christopher W. Noel, Matthew P. Guttman, Barbara Haas, Danny Enepekides, Matthew H. Rigby, S. Mark Taylor, Avery B. Nathens, Antoine Eskander
    European Journal of Trauma and Emergency Surgery.2022; 48(5): 4131.     CrossRef
  • Association between Stroke Quality Assessments and Mortality within 30 Days among Patients Who Underwent Hemorrhagic Stroke Surgeries in South Korea
    Mi-Na Lee, Wonjeong Jeong, Sung-In Jang, Sohee Park, Eun-Cheol Park
    Cerebrovascular Diseases.2022; 51(1): 82.     CrossRef
  • Impact of surgeon and hospital factors on length of stay after colorectal surgery systematic review
    Zubair Bayat, Keegan Guidolin, Basheer Elsolh, Charmaine De Castro, Erin Kennedy, Anand Govindarajan
    BJS Open.2022;[Epub]     CrossRef
  • Crucial areas of the economic analysis of public cancer care
    D. A. Andreev, K. I. Polyakova, A. A. Zavyalov, T. N. Ermolaeva, A. G. Fisun, A. D. Ermolaeva, V. A. Dubovtseva, T. E. Maksimova
    FARMAKOEKONOMIKA. Modern Pharmacoeconomic and Phar.2020; 12(4): 310.     CrossRef
  • Initial Diagnosis of Colorectal Cancer through Colonoscopy or Emergent Surgery-Clinicopathological Features that Support Early Screening
    Konstantinos A Paschos, A Chatzigeorgiadis
    Hellenic Journal of Surgery.2020; 92(2): 51.     CrossRef
  • What Matters in the Performance of a Medial Institution?
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2017; 8(1): 1.     CrossRef
Assessment of Intensive Vaccination and Antiviral Treatment in 2009 Influenza Pandemic in Korea
Chaeshin Chu, Sunmi Lee
Osong Public Health Res Perspect. 2015;6(1):47-51.   Published online February 28, 2015
DOI: https://doi.org/10.1016/j.phrp.2014.11.007
  • 1,960 View
  • 16 Download
  • 2 Citations
AbstractAbstract PDF
Objectives
We characterized and assessed public health measures, including intensive vaccination and antiviral treatment, implemented during the 2009 influenza pandemic in the Republic of Korea.
Methods
A mathematical model for the 2009 influenza pandemic is formulated. The transmission rate, the vaccination rate, the antiviral treatment rate, and the hospitalized rate are estimated using the least-squares method for the 2009 data of the incidence curves of the infected, vaccinated, treated, and hospitalized.
Results
The cumulative number of infected cases has reduced significantly following the implementation of the intensive vaccination and antiviral treatment. In particular, the intensive vaccination was the most critical factor that prevented severe outbreak.
Conclusion
We have found that the total infected proportion would increase by approximately six times under the half of vaccination rates.

Citations

Citations to this article as recorded by  
  • Modeling influenza transmission dynamics with media coverage data of the 2009 H1N1 outbreak in Korea
    Yunhwan Kim, Ana Vivas Barber, Sunmi Lee, Roberto Barrio
    PLOS ONE.2020; 15(6): e0232580.     CrossRef
  • Doing Mathematics with Aftermath of Pandemic Influenza 2009
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2015; 6(1): 1.     CrossRef

PHRP : Osong Public Health and Research Perspectives