Symptoms and underlying diseases associated with the hospitalization period of 3480 Covid-19 patients in Hormozgan, Iran

  • Hesamuddin Kamalzadeh Takhti, Mahdieh Ardaneh, Shahram Zare, Maryam Rezaei Sarkhaei, Ehsan Amiri-Ardekani

Abstract

Objectives: COVID-19 has a relationship with patients ‘demographic characteristics as well as their underlying diseases. This research has been conducted to evaluate factors' effect on Covid-19 patient's hospitalization rate and period in Hormozgan, Iran.

Methods: The inclusion criteria of this retrospective study included all patients diagnosed as COVID-19 patients after PCR who were referred to Covid-19 hospitals from February 2020 to June 2020 in Hormozgan province (3480 patients). The checklist was designed according to COVID-19 guidelines and approved by the World Health Organization and Iran Ministry of Health and Medical Education. These data were analyzed using descriptive (average-standard deviation-percentage) and analytical (including Chi-square, t-test, and regression tests) statistics with SPSS Ver.23 software.

Results: In this study, 1852 male patients (53.20%) with a median age of 43.11±21.72 and 1628 female patients (46/80%) with a median age of 44.86±22.40.The median age of men was significantly lower than the women's median age(P= 0.02). The hospital stay length of male and female patients was reported 2.64±4.14 and 2.76±4.297; the death rate of patients in our study was 6.6%.

Conclusion: The results of this study showed that the hospital stay length of HIV-positive patients and patients with cardiovascular and pulmonary diseases is much longer than other people, which imposes many human and financial costs on the country's health care system. These results can improve health care system planning and improve medical services presented to covid-19 patients.

Introduction

In late December 2019, a strange case of pneumonia was reported in Wuhan with similar clinical symptoms to viral pneumonia.1 The WHO introduced the virus as COVID-19. This virus is from the beta-corona genera with different potential hosts.2-4 Coronaviruses are single-stranded, enveloped RNA viruses with 120-180 nm diameter. Before the COVID-19, there were only six coronaviruses that could infect humans. Among coronaviruses, four strains, including OC43, 229E, HKU1, and NL63, have less pathogenicity and cause mild respiratory illness. Strains that are SARS-CoV and MERS-CoV have caused two fatal epidemics. The homology and pathogenesis mechanism of COVID-19 is very similar to the SARS-CoV pathogenesis mechanism.5,6 Based on recent studies, there is a correlation between COVID-19 and demographic characteristics. The highest mortality rate is related to elderly men at the age of 65 years or older7 with underlying diseases such as diabetes, high blood pressure, chronic respiratory disease, cancer, high interleukin-6 level, or a history of previous surgery. The cellular immune system function- an important immune system feature against viral infections- decreases in the elderly.2, 8-11 The most common clinical symptoms of COVID-19 infection are fever (87.9%), cough (67.7%), fatigue (38.1%). vomiting (5%) and diarrhea (3.7%).12 Also, confusion, forgetfulness, olfactory dysfunction, neuropathic pain, seizure, and stroke are among the neurological symptoms of this virus that result in hypoxia and inflammation of the brain. Brain inflammation can be indirectly caused by a cytokine storm (autoimmune encephalitis) or directly caused by a broken blood-brain barrier by a virus (viral encephalitis).13, 14 Besides, Acute Respiratory Distress Syndrome (ARDS) occurs around 90 days after infection. The virus also damages other tissues, including the heart, kidneys, liver, eyes, and nervous systems.12 A healthy lifestyle, including exercise, good nutrition, a balanced weight, and non-smoking, contributes to a balanced immune system and Covid-19 prevention. Based on recent findings, the most prominent reason for the morbidity and mortality rate caused by Covid-19 in the US is overweight.15, 16 Also, personal hygiene, using the face mask, adequate rest, and proper ventilation are effective ways to prevent infection.2 Disease occurrence depends on the interaction between the virus and the immune system. Virus-related factors also include the type of virus, mutation, and the number of viruses. Genetics (e.g., HLA gene), age, gender, nutritional status, homeostasis between the immune, nervous and endocrine systems, and physical condition affect a person's immune system. These factors contribute to an individual’s infection, the duration and severity, and the recurrence of the disease. Since the exact mechanism of transmission of the disease is not fully understood, and vaccines do not make permanent protection, the most important task now is to interrupt the chain of transmission.16 People with chronic disease with Covid have 19 more severe symptoms and are more likely to be admitted to the intensive care unit than people without chronic illness.17

Therefore, special attention is paid to patients with underlying diseases. This study aimed to identify the underlying diseases and investigate the relationship between these diseases and the length of hospitalization in patients with Covid-19 in 1399 in Bandar Abbas.

Materials and Methods

This study was conducted from January 21, 2020, to May 30, 2020, in Hormozgan province (Hormozgan province is one of the 31 provinces of Iran, which is in the south of the country and the capital of the province is the city of Bandar Abbas), Iran (the Islamic Republic of Iran is a country in West Asia and Tehran is also its capital) to analyze the Hospital length of stay) LOS of COVID-19 patients. The research participants of this study were all patients referred to hospitals in Hormozgan parovince with a diagnosis of COVID-19 based on a PCR test.

Inclusion criteria were patients diagnosed with COVID-19 after a Real-time PCR test. Exclusion criteria were patients who did not consent to participate in this study or had incomplete or distorted information. Based on these inclusion and exclusion criteria, 3480 patients were included in the study.

Patients' data has been collected through the interview by MCMC (Medical care monitoring center) personnel in the hospitals after completing the consent form and observing ethical principles. The checklist used to collect information has been designed according to Iran national COVID-19 guidelines and approved by the Iran Ministry of Health and Medical Education and the World Health Organization. The studied variables were gender, age, patients’ resident place, history of smoking and drug use, pregnancy, referral type to the hospital (by or without an ambulance), history of contact with COVID-19 patients, early symptoms (including cough, muscular pain, level of consciousness, respiratory, olfactory and taste dysfunction, seizure, headache, dizziness, paresis and limb palsy, chest pain, inflammation, and skin lesions, stomach ache, nausea, vomiting, diarrhea, and anorexia), intubation, Po2 level, history of cancer, chronic liver diseases, diabetes, chronic blood diseases, HIV/AIDS, acquired or congenital immunodeficiency, cardiovascular diseases, chronic kidney diseases and dialysis status, asthma and other chronic lung diseases and chronic neurological disorders. Multinomial logistic regression was used with hospitalization less than one day as the reference group; the baseline model included Cancer, Liver disease, Diabetes, High blood pressure, HIV positive, Immune system defects, Cardiovascular disease, Pregnancy, kidney disease, Asthma, Lung Disease, Nervous disease.

These data were entered into SPSS V.23 software and analyzed using descriptive (average - standard deviation - percentage) and analytical (including Chi-square, t-test, and regression tests) tests.

Results

In this study, 3480 patients referred to hospitals in Hormozgan province with COVID-19 diagnosis have been evaluated. This number includes 1852 male patients (53.20%) with a median age of 43.11±21.72 and 1628 female patients (46.80%) with a median age of 44.86±22.40. The median age of men was lower than women significantly (p=0.02). The hospital LOS of male and female patients has been reported 2.64±4.14 and 2.76±4.297, respectively, without a statistically significant relationship between the hospital LOS between different genders

According to Figure 1, the most prevalent early symptoms in patients were headache (65.3%), chest pain (64.3%), and dizziness (63.6%).

Figure 1
Early symptoms of patients referred to Hormozgan province hospitals

After examining the patients' gastrointestinal symptoms, it was found that the most common symptoms were vomiting (55.7%) and diarrhea (55.6%). Gastrointestinal symptoms are shown in Figure 2.

Figure 2
Gastrointestinal symptoms of patients referred to Hormozgan province

Table 1 shows the distribution of the variables between men and women. The mean age in men is lower than women and is statistically significant (p=0.020). Liver disease, diabetes, hypertension, cardiovascular disease, and asthma are different between men and women and are statistically significant. (p<0.05 for all). The hospital LOS, cancer, HIV positive, immune deficiency, kidney, lung, and nervous system diseases showed no significant difference between men and women. Statistically, they were not significant (p>0.05 for all)

Table 1:Distribution of quantitative and qualitative variables of patients with COVID-19<
Variable Category/Scale Male1852(%53.20) Mean ± SD or N (%) Female 1628(%46.80) Mean ± SD or N (%) P-value*
Age Years 43.11±21.72 44.86±22.40 0.020
Duration of hospitalization Day 2.64±4.14 2.76±4.297 0.356
Cancer Yes 34(%1.80) 33(%2.00) 0.682
No 1818(%98.20) 1595(%98.00)
Liver disease Yes 21(%1.10) 4(%.20) 0.002
No 1831(%98.90) 1624(%99.80)
Diabetes Yes 125(%6.70) 171(%10.50) <0.001
No 1727(%93.30) 1457(%89.50)
High blood pressure Yes 19(%1.00) 45(%2.80) <0.001
No 1833(%99.00) 1583(%97.20)
HIV positive Yes 1(%0.10) 1(%0.10) 0.927
No 1851(%99.90) 1627(%99.99)
Immune system defects Yes 4(%.20) 7(%.40) 0.262
No 1848(%99.80) 1621(%99.60)
Cardiovascular disease Yes 187(%10.10) 204(%12.50) 0.023
No 1665(%89.90) 1424(%87.50)
Kidney disease Yes 50(%2.70) 40(%2.50) 0.653
No 1802(%97.50) 1588(%97.50)
Asthma Yes 70(%3.80) 98(%6.00) 0.002
No 1782(%96.20) 1530(%94.00)
Lung disease Yes 52(%2.80) 39(%2.40) 0.447
No 1800(%97.20) 1589(%97.60)
Nervous system disease Yes 21(%1.10) 21(%1.30) 0.674
No 1831(%98.90) 1607(98.70)

*p-values have been calculated based on Chi-Square or independent samples t-test.

Table 2 Regression model with time response variable based on hospitalization time grouping (according to the schedule less than one day - one day to the end of 7 days (week) - 8 days to the end of 30 days (one month) - more than 30 days (More) more than a month) has been done with independent variables showed that, diabetic Covid-19 patients have a higher risk of prolonging hospitalization to one-seven days range (OR = 1.445, CI95% = 1.113-1.876, P = 0.006). In addition, Pregnancy increased hospital LOS in Covid-19 patients to one-seven days range (OR = 2.187, 95% CI = 1.245-3.842, P = 0.006). Covid-19 infected patients with cardiovascular disease had more risk of prolonging hospitalization to eight to 30 days range. (OR = 1.581, 95% CI = 1.073-2.331, P = 0.021). Also, our study showed that Covid-19 patients with kidney disease have more risk of prolonging hospitalization to eight to 30 days range. (OR = 2.889, 95% CI = 1.535-5.435, P = 0.001). Besides, cancer can increase the hospitalization period in Covid-19 patients to more than 30 days. (OR = 26.475, 95% CI = 7.687-91.185, p <0.001). Concurrent HIV and Covid-19 infection increases risk of hospitalization to more than 30 days (OR = 3.136, 95% CI = 3.136-3.136, p <0.001). Compared to patients with less than one day of hospitalization and more than 30 days of hospitalization, people with cardiovascular disease have more risk of prolonging hospitalization. Concurrent lung disease and Covid-19 infection increases the risk of hospitalization to more than 30 days (OR=5.542, 95%CI=1.834-16.746, p=0.002)

Table 2:Factors related to the length of hospitalization period of COVID-19 patients
Hospitalization period 1-7 8-30 30<
Variable OR* 95% CI P-value OR* 95% CI P-value OR* 95% CI P-value
Cancer
No Ref 1.000 Ref - 1.000 Ref - 1.000
Yes 0.884 0.516-1.513 0.652 1.507 0.665-3.418 0.326 26.475 7.687-91.185 p<0.001
Liver disease
No Ref - 1.000 Ref - 1.000 Ref - 1.000
Yes 2.079 0.879-4.921 0.096 0.154 0.003-7.859 0.351 0.536 0.000-145.306 0.877
Diabetes
No Ref - 1.000 Ref - 1.000 Ref - 1.000
Yes 1.445 1.113-1.876 0.006 1.223 0.765-1.955 0.401 0.249 0.013-4.786 0.357
High blood pressure
No Ref - 1.000 Ref - 1.000 Ref - 1.000
Yes 0.799 0.466-1.369 0.414 1.602 0.724-3.546 0.245 0.276 .000-189.651 0.699
HIV positive
No Ref - 1.000 Ref - 1.000 Ref - 1.000
Yes 160 0.000-0.001 0.998 1141.584 0.000-.001 0.999 3.136 3.136-3.136 p<0.001
Immune system defects
No Ref - 1.000 Ref - 1.000 Ref - 1.000
Yes 0.438 0.103-1.870 0.265 1.091 0.159-7.494 0.930 0.250 1.443-434.832 0.781
Pregnancy
No Ref - 1.000 Ref - 1.000 Ref - 1.000
Yes 2.187 1.245-3.842 0.006 1.457 0.490-4.328 0.498 0.312 1.781-547.434 0.850
Cardiovascular disease
No Ref - 1.000 Ref - 1.000 Ref - 1.000
Yes 1.173 0.930-1.478 0.178 1.581 1.073-2.331 0.021 5.542 1.834-16.746 0.002
kidney disease
No Ref - 1.000 Ref - 1.000 Ref - 1.000
Yes 1.291 0.804-2.074 0.291 2.889 1.535-5.435 0.001 0.320 0.002-42.406 0.648
Asthma
No Ref - 1.000 Ref - 1.000 Ref - 1.000
Yes 0.939 0.679-1.298 0.703 0.755 0.385-1.481 0.414 0.272 0.005-15.786 0.530
Lung disease
No Ref - 1.000 Ref - 1.000 Ref - 1.000
Yes 1.044 0.674-1.618 0.846 0.546 0.191-1.555 0.257 8.818 2.120-36.673 0.003
Nervous disease
No Ref - 1.000 Ref - 1.000 Ref - 1.000
Yes 1.141 0.605-2.151 0.685 0.971 0.284-3.324 0.962 0.247 3.071-198.735 0.808

* Multinomial logistic regression was used with Hospitalization less than one day as the reference group; the baseline model included Cancer, Liver disease, Diabetes, High blood pressure, HIV positive, Immune system defects, Cardiovascular disease, Pregnancy, kidney disease, Asthma, Lung Disease, Nervous disease

Discussion

The Covid-19 disease severity depends on the interaction between the virus and the immune system. Virus-related factors include mutations and the number of viruses exposed. An individual’s immune system is also affected by genetics (e.g., HLA gene), age, gender, nutritional status, homeostasis in the immune system, nervous system, endocrine system, and physical condition. These factors contribute to an increased risk of an individual’s infection, duration, severity, and recurrence of the disease. Due to the increasing need for covid-19 clinical areas18, this study was conducted in the Hormozgan province to analyze factors affecting the COVID-19 patients' hospital LOS.

The results of the study showed that the most common early symptoms of the disease include headache, dizziness, sore throat, and cough, which are consistent with other studies.

The most common symptoms of this disease, which have been reported in several articles, are fever higher than 38 degrees (78%), cough (76%), fatigue and muscle pain (44%), shortness of breath (55%), headache (8%), bleeding (5%), and diarrhea (3%)[14, 19-21].

The results of the study showed that among the gastrointestinal symptoms of patients, vomiting and then diarrhea are the most common symptoms among patients. And these symptoms usually appear after the initial symptoms of the disease and are consistent with the results of other studies. In a study conducted by Erika et al., ten patients infected with COVID-19 presented gastrointestinal symptoms such as abdominal pain, nausea, and vomiting. The results indicated that nine of the patients had mild respiratory symptoms and fever before hospital admission.22 In recent studies, fever and respiratory distress prevalence in Covid-19 patients reported 80.2% and 23.4%, respectively.23 SARS-CoV-2 can also cause gastrointestinal symptoms such as vomiting, diarrhea, or abdominal pain in the early stages of the disease. Intestinal dysfunction causes changes in intestinal microbes and an increase in inflammatory cytokines.24

The present study shows that the relationship between the length of hospitalization of patients with Covid-19 is from high to low, respectively: lung disease, cancer, AIDS, kidney, heart, diabetes, and then pregnancy are at higher risk for long-term hospitalization. Prolonged hospitalization, in addition to mental and physical problems, increases the cost to the patient and the community and the government and is an important problem. The results were consistent with other studies conducted in the world, but no study on this subject was found in Iran.

The study Semenzato, et all showed that with age, the risk of Hospitalization for COVID-19 increased more than fivefold. Almost all chronic diseases were associated with an increased risk of COVID-19-associated hospitalization and in-hospital mortality.25

A study by Villapol, et all showed that the severity of COVID-19 is usually combined with a set of comorbidities such as hypertension, diabetes, obesity and / or old age that seriously aggravate the consequences of infection.24 The study Petrilli, et al. Showed that age, heart problems and obesity were the main reasons for the prolongation of Hospitalization in Covid 19 patients.26 This results also indicate importance of screening of covid-19 patients with underlying diseases to manage covid-19 pandemic and improve health status of society which is in line with Ardaneh et al. study.27

Conclusion

The death rate of patients in our study was 6.6%. Although Hormozgan province was categorized in the red zone in COVID-19 spread during this study but had a clearance rate of 96.4%, all of which were in good general condition. This shows the acceptable and valuable performance of health services personnel in this province. This study also showed that the hospital LOS of HIV-positive patients and patients with cardiovascular and pulmonary diseases is much longer than other people, which imposes many human and financial costs on the country's health care system. Therefore, to maintain individual health and help improve the critical condition of the virus, it is better to develop and apply stricter protocols to prevent further outbreaks of the disease and check underlying diseases of people suspected to have Covid-19. These results can improve health care system planning and improve medical services presented to covid-19 patients.

Summary Box

What is already known about this subject:

  • Based on recent studies, there is a correlation between COVID-19 and demographic characteristics. The highest mortality rate is related to elderly men at 65 years or older with underlying diseases such as diabetes, high blood pressure, chronic respiratory disease, cancer, high interleukin-6 level, or a history of previous surgery.
  • The most common clinical symptoms of COVID-19 infection are Fever (87.9%), cough (67.7%), fatigue (38.1%). Vomiting (5%) and diarrhea (3.7%).
  • Disease occurrence depends on the interaction between the virus and the immune system. Virus-related factors also include the type of virus, mutation, and the number of viruses. Genetics (e.g., HLA gene), age, gender, nutritional status, homeostasis between the immune, nervous and endocrine systems, and physical condition affect a person's immune system. These factors contribute to an individual’s infection, the duration and severity, and the recurrence of the disease.

What are the new findings:

  • The death rate of patients in our study was 6.6%.
  • The results of this study also showed that the hospital LOS of HIV-positive patients and patients with cardiovascular and pulmonary diseases is much longer than other people, which imposes many human and financial costs on the country's health care system.
  • The results of the study showed that gastrointestinal symptoms such as vomiting (55.7%), diarrhea (55.6%), nausea (55.5%), and abdominal pain (55%) are the most common gastrointestinal symptoms among patients

Ethical considerations

The authors declare that the investigations were carried out following the rules of the Declaration of Helsinki of 1975. The ethics committee approved the study protocol of Hormozgan University of Medical Sciences with IR.HUMS.REC.1400.029 code.

Acknowledgment

The authors of this article would like to express our sincere gratitude to the health care system personnel of Hormozgan province and all the people whose assistance was a milestone in the completion of this research.

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Figure

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Author Biographies

Mahdieh Ardaneh

Department of Epidemiology ,
School of Health,
Shiraz University of Medical Sciences,
Shiraz, Iran

Shahram Zare

Department of Phytopharmaceuticals (Traditional Pharmacy),
Shiraz University of Medical Sciences,
Shiraz, Iran

Maryam Rezaei Sarkhaei

Department of Statistics,
Statistics Management and Information Technology,
Hormozgan University of Medical Sciences,
Bandar Abbas, Iran

Ehsan Amiri-Ardekani

Department of Phytopharmaceuticals (Traditional Pharmacy),
Shiraz University of Medical Sciences,
Shiraz, Iran

Section
Original Articles
Published
08-11-2023
Keywords:
COVID-19, hospitalization period, respiratory disease, Hormozgan