Osong Public Health and Research Perspectives

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

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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

Obesity as a Risk Factor for Complications and Mortality in Individuals with SARS-CoV-2: A Systematic Review
Marielle Priscila de Paula Silva-Lalucci, Déborah Cristina de Souza Marques, Pablo Valdés-Badilla, Leonardo Vidal Andreato, Braulio Henrique Magnani Branco
Nutrients.2024; 16(4): 543. 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.2023; 149(7): 2915. CrossRef
Risk Factors Associated with Severity and Death from COVID-19 in Iran: A Systematic Review and Meta-Analysis Study
Ahmad Mehri, Sahar Sotoodeh Ghorbani, Kosar Farhadi-Babadi, Elham Rahimi, Zahra Barati, Niloufar Taherpour, Neda Izadi, Fatemeh Shahbazi, Yaser Mokhayeri, Arash Seifi, Saeid Fallah, Rezvan Feyzi, Koorosh Etemed, Seyed Saeed Hashemi Nazari
Journal of Intensive Care Medicine.2023; 38(9): 825. CrossRef
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
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

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Abstract 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

Factors Affecting Inpatients’ Mortality through Intentional Self-Harm at In-Hospitals in South Korea
Sulki Choi, Sangmi Kim, Hyunsook Lee
International Journal of Environmental Research an.2023; 20(4): 3095. CrossRef
The economic burden of adolescent internet addiction: A Korean health cost case study
Robert W. Mead, Edward Nall
The Social Science Journal.2023; : 1. CrossRef
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

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31 Download
7 Crossref

Abstract 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

Impact of hospital volume on failure to rescue for complications requiring reoperation after elective colorectal surgery: multicentre propensity score–matched cohort study
Marie T Grönroos-Korhonen, Laura E Koskenvuo, Panu J Mentula, Taina P Nykänen, Selja K Koskensalo, Ari K Leppäniemi, Ville J Sallinen
BJS Open.2024;[Epub] CrossRef
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

2,703 View
17 Download
2 Crossref

Abstract 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

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