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PROFIL PACJENTÓW Z INFEKCJĄ COVID-19: RETROSPEKTYWNE BADANIE JEDNOOŚRODKOWE

Julia Węgrzynek-Gallina
1
,
Joanna Pilśniak
1
,
Aleksandra Pilśniak
2
,
Agnieszka Jarosińska
2
,
Marta Pietrukaniec
2
,
Michał Holecki
2

  1. Student Scientific Society at the Department of Internal, Autoimmune and Metabolic Diseases, School of Medicine, Medical University of Silesia, Katowice, Poland
  2. Department of Internal, Autoimmune and Metabolic Diseases, School of Medicine, Medical University of Silesia, Katowice, Poland
Health Prob Civil. 2024; 18(2): 180-193
Data publikacji online: 2024/01/31
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Introduction

COVID-19 (Coronavirus Disease 2019) is an infectious respiratory disease caused by a coronavirus called SARS-CoV-2 (severe acute respiratory syndrome coronavirus-2), which has spread rapidly around the world since December 2019. On 11th March 2020, the World Health Organization (WHO) declared it as a pandemic [1]. Globally, as of 13th January 2023, there have been 661,545,258 confirmed cases of COVID-19, including 6,700,519 deaths, reported to the WHO. Just in Poland, from 3rd January 2020 to 13th January 2023, there were 6,372,901 confirmed cases of COVID-19 with 118,640 reported deaths [2].

Typical symptoms of COVID-19 include fever, cough, headache, shortness of breath, loss of smell and taste, myalgia, or fatigue. In severe cases, patients may develop symptoms of progressive respiratory failure requiring hospitalization and mechanical ventilation. Over time, the virus has been mutating and the symptoms have evolved, but most symptoms remain those from the upper and lower respiratory system [3-5].

Many factors may increase the risk of developing an acute form of the disease, such as pre-existing cardiovascular diseases, diabetes mellitus, chronic kidney diseases, cancer, and respiratory illness, hypertension, obesity [4], lipid metabolism dysregulation [6], and vitamin D deficiency [7].

In Poland, most deaths of COVID-19 patients occurred in patients aged 60-89, regardless of comorbidities. However, in the group of COVID-19 patients with comorbidities, there was no significant difference in the number of deaths, according to the age of the patients (the data published by the Ministry of Health in Poland on November 11, 2021) [8].

Patients who developed another infection had a higher risk of prolonged hospitalization and death. The most commonly described co-infections were respiratory, bloodstream, and urinary infections [5]. Moreover, the development of C. difficile infection had a significant impact on the more serious condition and poorer prognosis of patients [9].

In 2021, more than 91,000 people died from COVID-19 in Poland. It was the cause of almost one in five deaths that year (the data from the Central Statistical Office in Poland) [10]. In almost all age groups, the mortality rate per 100,000 individuals was twice as high in men as in women. This might have been partly due to the worse health condition of men in Poland, who often neglect preventive examinations and are burdened with numerous untreated diseases [10]. The fact is that men work longer in Poland due to differences in retirement age (for females the age is 60, while for males – 65) [11]. In addition, men more often stay in the labor market after retirement age. In 2019, 81.5 % of those employed in hazardous conditions were men [12]. Considering the previous arguments, it is important to note that men are under occupational exposure factors for longer, which can be associated with health problems.

The highest number (34,865) of hospitalized patients due to COVID-19 in Poland was reported on 8th April 2021 [13]. Due to the sudden development of the pandemic, it was necessary to adapt many hospital wards for patients with COVID-19. This was also the case of the Department of Internal, Autoimmune, and Metabolic Diseases (DIAMD) of the Medical University of Silesia in Katowice, Poland, which became a COVID-19 ward (COVID-19 DIAMD) on 16th November 2020. The most common causes of death before the COVID-19 pandemic in Poland were cardiovascular diseases, cancers, diabetes, and chronic respiratory diseases [14]. In 2020, there was an increase in cardiovascular deaths as compared with the previous few years. More than 174,500 people died from cardiovascular diseases, accounting for 42.6% of all deaths [15]. It is difficult to assess whether this is the beginning of a trend change or just a one-time increase due to the specificities of the pandemic year. Studies on the changes in the profiles of chronic diseases and deaths during the COVID-19 pandemic are emerging [16] but are not yet sufficient to answer that question.

Aim of the work

The objective of this retrospective study was to examine the profile of COVID-19 patients, hospitalized at the Department of Internal, Autoimmune and Metabolic Diseases (DIAMD) of the Medical University of Silesia during its operation as a COVID-19 ward (COVID-19 DIAMD).

Material and methods

A retrospective analysis of medical records of all patients admitted to COVID-19 DIAMD ward from November 2020 to June 2021 was carried out. The study group included 232 patients; in all instances the diagnosis of COVID-19 was confirmed by a PCR test.

The data was collected from the electronic medical records system of the Central Clinical Hospital of the Medical University of Silesia in Katowice, Poland.

Collected data included: gender, age, date of admission, length of hospital stay, the mode of admission, main diagnosis on admission, comorbidities on admission, final main diagnosis and comorbidities, descriptive diagnosis, discharge mode from the hospital, underlying cause of death, secondary cause of death, direct cause of death, and information about the deaths at the Intensive Care Unit (ICU) after transfer from COVID-19 DIAMD ward. Each patient’s comorbidities were divided into several categories, defined as: cardiovascular diseases, respiratory diseases, gastrointestinal diseases, endocrine diseases, hyperlipidemia, obesity, prediabetes, diabetes, vitamin D deficiency, kidney and urinary tract diseases, neurological diseases, hematopoietic system diseases, rheumatic diseases, oncological diseases, infectious diseases, past surgeries, acute circulatory-respiratory, and respiratory failure. Within each category, the number of specific diagnoses was provided for each patient, as well as the presence or absence of the diagnosis of hyperlipidemia, obesity, prediabetes, diabetes, vitamin D deficiency (defined as concentration <20 ng) [17], acute circulatory-respiratory, respiratory failure or alcohol use disorder (provided icd-10 criteria of diagnosis) [18]. For example, for the category cardiovascular disease, all diagnoses, including among others hypertension, ischemic heart disease or heart arrythmia, were counted for each patient as it is presented in Table 1.

Table 1

Prevalence of comorbidities reported in COVID-19 patients hospitalized in COVID-19 DIAMD ward in 2020-2021

Categories of comorbiditiesNumber of patients (and percentage) with diagnoses within category of comorbidities
At least 1 diagnosisNumber of diagnoses within category
123456789
Cardiovascular diseases185 (79.7)52 (22.4)54 (23.3)31 (13.4)19 (8.2)15 (6.5)9 (3.9)2 (0.9)3 (1.3)0
Respiratory diseases38 (16.4)30 (12.9)8 (3.4)0000000
Gastrointestinal disease104 (44.8)51 (22.0)26 (11.2)10 (4.3)6 (2.6)6 (2.6)3 (4.3)1 (0.4)1 (0.4)1 (0.4)
Endocrine diseases59 (25.4)51 (22.0)8 (3.4)0000000
Kidney and urinary tract diseases80 (34.5)61 (26.3)15 (6.5)3 (1.3)1 (0.4)00000
Hematopoietic diseases26 (2.2)23 (9.9)1 (0.4)2 (0.9)000000
Rheumatic diseases27 (11.6)26 (11.2)1 (0.4)0000000
Oncological diseases46 (19.8)41 (17.7)2 (0.9)3 (1.3)000000
Infectious diseases28 (12.1)26 (11.2)2 (0.9)0000000
Neurological diseases29 (12.5)25 (10.8)4 (1.7)0000000

All data was anonymized. The statistical analysis was performed with Jamovi 2.2.5 software. The quantitative variables are presented as an arithmetic mean and standard deviation, for normally distributed variables, or a median and the interquartile range (IQR) for variables without normal/skewed distribution. The normality of distribution was assessed with the Shapiro-Wilk test. Qualitative variables are presented as absolute values and percentages. The intergroup differences for the quantitative variables were assessed using the U-Mann-Whitney, t-Student test or the Kruskal-Wallis’s test (variables with skewed distribution), respectively. For qualitative variables, a chi square test was used.

Results

The study group comprised 232 patients, including 124 (53.4%) males. The youngest hospitalized patient was 24 years old and the oldest was 96 years old; the mean age was 66.5±14.7. The mean age of men was 66.2 years±15.9 and 66.8±13.3 years for women. The youngest man was 24 years old, and the youngest woman was 37 years old, while the oldest patients were 95 and 96 years old, respectively.

Out of 232 hospitalized COVID-19 patients, only three had no comorbidities. The prevalence of comorbidities reported in COVID-19 patients hospitalized in COVID-19 DIAMD ward in 2020-2021 is presented in Table 1 (Table 1).

Among all categories of comorbidities (Table 1), the most prevalent were cardiovascular diseases; 185 (79,7%) patients had at least one cardiovascular disease and most (23.3%) had 2 cardiovascular diagnoses. The second group of comorbidities were gastrointestinal diseases; 104 (44.8%) patients had at least one diagnosed disease from that category. Kidney and urinary tract diseases were present in 80 (34.5%) patients. Endocrine diseases were diagnosed in 59 (25.4%), oncological diseases in 46 (19.8%), and respiratory diseases in 38 (16.4%) patients. The least prevalent were comorbidities in the categories of hematopoietic diseases (26 patients, 2.2%), rheumatic diseases (27 patients, 11.6%), neurological diseases (29 patients, 12.5%), and infectious diseases other than COVID-19 (28 patients, 12.1%).

Metabolic disorders reported in the study group (Table 2) were hyperlipidemia (53 patients, 22.8%), obesity (44 patients, 19%), and prediabetes (11 patients, 4.7%); out of 63 (27.1%) patients diagnosed with diabetes mellitus – 4 had type 1, 49 type 2, and 10 type 3 diabetes mellitus. Additionally, 63 (27.1%) patients had vitamin D deficiency. Six patients had COVID-19 reinfection, and 33 (14.2%) patients had acute circulatory-respiratory or respiratory failure in the course of COVID-19.

Table 2

Prevalence of specific diagnoses in COVID-19 patients hospitalized in COVID-19 DIAMD ward in 2020-2021

DiagnosisNumber of patients with diagnosis n (%)
Hyperlipidemia53 (22.8)
Obesity44 (19.0)
Prediabetes11 (4.7)
Diabetes mellitus Diabetes mellitus type 1 Diabetes mellitus type 2 Diabetes mellitus type 3 (steroid diabetes)63 (27.1)
4
49
10
Vitamin D deficiency63 (27.1)
Reinfection6 (2.6)
Acute circulatory-respiratory or respiratory failure33 (14.2)
Alcohol use disorder8 (3.4)

The main diagnosis upon discharge from the COVID-19 DIAMD was COVID-19 (217 patients, 93.5%), as presented in Table 3. Further final diagnoses included cardiac arrest in 6 patients (2.6%), myelodysplastic syndrome (2 patients, 0.9%), and individual cases of respiratory failure, acute respiratory failure, unspecified pneumonia, cerebral infarction, gastric varices, hepatorenal syndrome, and vitamin D deficiency.

Table 3

Main diagnoses of COVID-19 patients at the time of discharge from COVID-19 DIAMD ward

Main diagnosis at dischargeNumber of patients with diagnosis n (%)
COVID-19 (virus identified)217 (93.5)
Cardiac arrest6 (2.6)
Respiratory failure1 (0.4)
Unspecified pneumonia1 (0.4)
Cerebral infarction1 (0.4)
Gastric varices1 (0.4)
Myelodysplastic syndrome2 (0.9)
Hepatorenal syndrome1 (0.4)
Vitamin D deficiency1 (0.4)
Acute respiratory failure1 (0.4)

Median length (days) of hospital stays of COVID-19 patients in the study group with and without comorbidities in specific categories is presented in Table 4.

Table 4

Median length (days) of hospital stays of COVID-19 patients in the study group with and without comorbidities in specific categories

Category of comorbiditiesLength of hospital stay, number of days (IQR)p-valueDfZ
Without comorbidityWith comorbidity
Cardiovascular diseases10 (5.5-11.5)9.5 (5.0-13.0)0.4282304022
Respiratory diseases10 (6.0-13.0)9 (5.0-12.8)0.7262303553
Gastrointestinal diseases9 (5.50-12.5)10 (5.0-13.0)0.3962306236
Kidney and urinary tract diseases -Urinary tract infection -Other conditions9 (5.0-12.0) 9 (5.0-12.0) 9 (5.75-12.3)11 (6.0-14.0) 13.5 (9.0-18.8) 10 (5.0-14.0)0.022 0.003 0.271230 230 2304969 1430 5064
Hematopoietic diseases10 (6.0-13.0)8 (5.0-13.0)0.8212302605
Rheumatic diseases10 (5.0-13.0)8 (5.5-10.5)0.1642302311
Oncological diseases10 (6.0-13.0)8 (5.0-14.0)0.9062304230
Infectious diseases other than COVID-199 (5.0-12.0)13.5 (10.3-23.0)<0.0012301632
Neurological diseases9 (5.0-13.0)11 (8.0-15.0)0.0552302294
Hyperlipidemia9 (5.50-13.0)10 (5.0-14.0)0.3012304300
Obesity9 (5.0-13.0)10 (6.0-13.3)0.3562303766
Prediabetes10 (5.0-13.0)9 (6.5-12.5)0.8232301167
Diabetes mellitus9 (5.0-12.0)11 (5.5-14.0)0.1362304646
Vitamin D deficiency8 (4.0-12.0)12 (10.0-17.0)<0.0012303261
COVID-19 reinfection10 (6.0-13.0)3 (2.25-9.0)0.061230374
Alcohol use disorder10 (5.0-13.0)8 (6.0-10.8)0.695230823
Any comorbid disease10 (4.5-10.0)10 (5.25-13.0)0.6522301016

[i] Notes: IQR – interquartile range, Df-degrees of freedom, Z – value of U-Mann-Whitney statistic; bold font – statistically significant results; non-parametric data was calculated with the U-Mann-Whitney test.

The average length of hospital stay was 9.96±6.35 days, with the shortest hospitalization of less than one day and the longest of 35 days. The mean hospital length of stay was 9.76±6.26 days for women and 10.12±6.46 days for men, with the shortest hospitalization lasting one day for both sexes, and the longest 33 days for women and 35 days for men. There was no statistically significant difference in the time of hospital stay between women and men.

The length of the hospital stay was significantly longer among patients diagnosed with several comorbidities (Table 4), such as kidney and urinary tract diseases (11 (IQR: 6.0-14.0) vs. 9 (IQR: 5.0-15.0) days, p=0.022), including urinary tract infections when compared with patients without this diagnosis (13.5 (IQR: 9.0-18.8) vs. 9 (IQR: 5.0-12.0) days, p=0.003). Infectious diseases, other than COVID-19, including C. difficile infection, bacteremia or sepsis (E. faecalis, P. mirabilis, P. aeuruginosa), Candida albicans organ fungal infections and infected wounds, were associated with extended hospitalization, on average, from 9 (IQR: 5.0-12.0) days to 13.5 (IQR: 10.3-23.0) days, p<0.001). Vitamin D deficiency was associated with a statistically significantly (p<0.001) longer average stay in the COVID-19 DIAMD ward (12 (IQR: 10.0-17.0) days), as compared to patients with a normal vitamin D concentration (8 (IQR: 4.0-12.0) days). Hospitalization of patients with neurological diseases was longer, at the border of statistical significance, as compared with the patient without such diagnoses (11 days (IQR: 8.0-15.0) vs. 9 days (IQR: 5.0-13.0), p=0.055). The associations between comorbidities, such as cardiovascular diseases, respiratory diseases, gastrointestinal diseases, hematopoietic system diseases, rheumatic diseases, oncological diseases, and the length of hospital stay were not statistically significant. There was also no association in relation to hyperlipidemia, obesity, prediabetes, diabetes, alcohol use disorder, and COVID-19 reinfection.

The mode of discharge of COVID-19 patients from COVID-19 DIAMD ward in 2020-2021 is presented in Table 5.

Table 5

Mode of discharge of COVID-19 patients from COVID-19 DIAMD ward in 2020-2021

Mode of dischargeNumber of patients, n (%)
Transfer to another COVID-19 ward20 (8.62)
Transfer to another non-COVID-19 ward12 (5.17)
Referral for outpatient treatment141 (60.78)
Referral to stationary care facility5 (2.16)
Transfer to ICU19 (8.19)
Death35 (15.09)

[i] Notes: *Among 19 patients transferred to the ICU, 15 patients died. They were included in the death statistics.

Out of 232 patients in the study group, 141 (60.78%) were referred to outpatient treatment and five (2.16%) to stationary care facilities. Nineteen patients (8.19%) were transferred to intensive care units (ICU), 20 (8.62%) patients were transferred to other COVID-19 units, and 12 (5.17%) to other non-COVID-19 wards. Thirty-five (15.09%) patients hospitalized in COVID-19 DIAMD ward died, including 15 in the ICU.

Factors associated with mode of discharge of COVID-19 patients were different length of hospitalization, age of patients, number of comorbidities, and number of diagnosed cardiovascular diseases. Patients discharged to outpatient treatment were hospitalized for longer (10 (IQR: 7.0-14.0) vs. 6 (IQR: 3.0-12) days, p<0.001) than the ones who died. This group of patients were younger 64 (IQR: 53.8-73.0) vs. 78 (IQR: 72.0-82.5) years, p<0.001) and had fewer cardiovascular diseases (1.5 (0.75-2.0) vs. 3 (2.0-4.0), p<0.001). All significant factors are shown in Table 6.

Table 6

Statistically significant factors associated with different modes of discharge from COVID-19 DIAMD ward

FactorMode of discharge-valueDfX2
Outpatient treatmentStationary care facilityNon COVID-19 wardCOVID-19 wardICUDeath
Length of hospital stay, days (IQR)10 (7.0-14.0)17 (14.0-20.0)10.5 (9.0-15.0)4.5 (3.0-6.5)3 (1.0-3.0)6 (3.0-12)<0.001546.6
In post-hoc analysis, statistically significant pairwise comparisons:
- outpatient treatment vs COVID-19 ward (p<0.001)
- COVID-19 ward vs non-COVID-19 ward (p=0.015)
- COVID-19 ward vs stationary care facility (p=0.029)
- outpatient treatment vs death (p=0.008)
- outpatient treatment vs ICU (p<0.001)
- non-COVID-19 ward vs ICU (p=0.014)
- COVID-19 ward vs stationary care facility (p=0.018)
Age of patients, years (IQR)64 (53.8-73.0)81 (80.0-83.0)73.5 (56.8-80.5)74 (66.5-78.5)65 (61.0-70.5)78 (72.0-82.5)<0.001540.2
In post-hoc analysis, statistically significant pairwise comparisons:
- outpatient treatment vs death (p<0.001)
- outpatient treatment vs stationary care facility (p=0.034)
- death vs ICU (p<0.001)
- ICU vs stationary care facility (p=0.015)
Number of comorbidities, n (IQR)5 (3.0-7.0)8 (4.0-8.0)5 (3.0-7.0)9 (7.75-10.3)4 (2.5-5.5)8 (4.0-8.0) 7 (5.0-9.0)<0.001525.1
In post-hoc analysis, statistically significant pairwise comparisons:
- COVID-19 ward vs outpatient treatment (p<0.001)
- COVID-19 ward vs ICU (p<0.003)
Number of Cardiovascular diseases, n (IQR)1.5 (0.75-2.0)2 (2.0-3.0)2 (2.0-3.0)3 (2.0-5.0)1 (1.0-2.0)3 (2.0-4.0)<0.001526.6
In post-hoc analysis, statistically significant pairwise comparisons:
- COVID-19 ward vs outpatient treatment (p=0.002)
- COVID-19 ward vs ICU (p=0.015)
- outpatient treatment vs death (p=0.003)
- death vs ICU (p=0.035)

[i] Notes: ICU – intensive care unit, IQR – interquartile range, Df – degrees of freedom, X2 – value of Kruskal Wallis statistic; non-parametric data was calculated with the Kruskal Wallis test with post-hoc analysis for p<0.05.

From the total of 232 patients admitted to COVID-19 DIAMD ward, 35 people died, including 20 patients in COVID-19 DIAMD ward and 15 patients in the ICU at the same hospital.

The underlying causes of death in the study group included COVID-19 (32 patients, 91.4%), sepsis (2 patients, 5.7%), and pulmonary edema (1 patient, 2.9%). Among secondary causes of death were respiratory failure (14 patients, 42.4%), acute respiratory failure (11 patients, 33.3%), heart failure (2 patients, 6.1%), COVID-19 (2, 6.1%), unspecified pneumonia, sepsis, stroke, and pneumonia caused by another virus. Direct causes of death in patients with COVID-19 were acute respiratory failure (4 patients, 11.4 %) and cardiac arrest (31 patients, 88.6 %). All data is presented in Table 7.

Table 7

Underlying, secondary, and direct causes of death in COVID-19 patients hospitalized in COVID-19 DIAMD ward

Causes of death
Underlyingn (%)Secondary*n (%)Directn (%)
COVID-19, identified virus32 (91.4)Respiratory failure, undefined14 (42.4)Cardiac arrest, unspecified31(88.6)
Sepsis2 (5.7)Acute respiratory failure11 (33.3)Acute respiratory failure4 (11.4)
Pulmonary edema1 (2.9)Heart failure, undefined2 (6.1)
Unspecified pneumonia2 (6.1)
COVID-19, virus identified2 (6.1)
Sepsis, undefined1 (3.0)
Pneumonia caused by another virus1 (3.0)
Stroke, not specified as hemorrhagic or infarct1 (3.0)

[i] Notes: *In the case of two patients, it was not possible to determine the proper cause of death (for secondary CoD).

Factors that were statistically significantly associated with mortality of patients with COVID-19 hospitalized at the COVID-19 DIAMD ward (Table 8) included higher age (76 vs 67 years) and the number of cardiovascular comorbidities.

Table 8

Factors associated with mortality of patients with COVID-19 hospitalized in COVID-19 Internal Medicine ward

FactorsAlive n (IQR)Death n (IQR)p-valueDfZ
Age of patients, years67 (55-76)76 (64.5-80.5)<0.0012303159
Length of hospital stay, days10 (6.0-13.0)6 (2.5-11.5)<0.0012302886
Number of cardiovascular comorbidities, n2 (1.0-3.0)3 (1.0-4.0)0.0222303603

[i] Notes: IQR – interquartile range, Df – degrees of freedom, Z – value of U-Mann-Whitney statistic; nonparametric data was calculated with a U-Mann-Whitney test.

More specifically (Table 9), chronic heart insufficiency and ischemic heart disease were statistically significantly associated with patients’ mortality. Other cardiovascular diseases included atherosclerosis, hypertension, condition after acute coronary syndrome, valvular disease, arrythmias, cardiomyopathy, aortic aneurysm, venous thromboembolism, acute aortic syndromes, acute coronary syndromes, and cerebrovascular trauma, but an association with mortality was not observed. Patients who died were hospitalized for fewer days than those who survived (6 vs 10 days).

Table 9

Cardiovascular diseases associated with mortality of patients hospitalized in COVID-19 DIAMD ward

Cardiovascular diseaseAliveDeadp-valueDfX2
Chronic heart failure<0.001110.9
No, n (%)157 (82.6)33 (17.4)
Yes, n (%)25 (59.5)17 (40.5)
Chronic coronary heart disease<0.001110.9
No, n (%)157 (82.6)33 (17.4)
Yes, n (%)25 (59.5)17 (40.5)

[i] Notes: Df – degrees of freedom, X2 – value of chi-squared test statistic; data was calculated using a Chi-squared test.

Discussion

This retrospective study examined the profile of COVID-19 patients hospitalized in the DIAMD, Medical University of Silesia in Katowice, Poland, which became a COVID-19 DIAMD ward and identified several risk factors for death and prolonged hospitalization.

In the group of patients with vitamin D deficiency, urinary tract infections, and infectious disease other than COVID-19, these diagnoses were associated statistically significantly with prolonged hospitalization. Neurological diseases were at the border of statistical significance as a factor prolonging the hospitalization. The length of the hospital stay was not significantly longer among patients diagnosed with cardiovascular disease, respiratory disease, gastrointestinal disease, hematopoietic disease, rheumatic disease, oncological disease, hyperlipidemia, obesity, prediabetes, diabetes, alcohol use disorder, and COVID-19 reinfection.

There have been several meta-analyses on the relationship between COVID-19 and vitamin D [7,19]; however, the results remain inconclusive. A meta-analysis by Kaya at al. of 21 studies found that vitamin D deficiency might increase the risk of COVID-19 infection and disease severity; however, low vitamin D levels had no effect on COVID-19 patient mortality [7]. A meta-analysis conducted by researchers at the American University of Beirut (Bassatne et al.), based on 31 studies, found no statistically significant association between low serum 25(OH)D levels and COVID-19-related health outcomes [19]. In our study, vitamin D deficiency was statistically significantly associated with extended/longer hospital stay at the COVID-19 DIAMD ward from eight (4.0-12.0) to twelve (10.0-17.0) days (p<0.001). This observation is worth noting, as in Poland, a considerable proportion of the population is deficient in vitamin D. A study, involving a total of 5,775 adults from 22 Polish cities found that 89.9% had 25(OH)D levels below 30 ng/ml [17]. Thus, our findings might be considered as an argument to promote vitamin D supplementation in the Polish population.

Our study shows that another crucial factor contributing to longer hospitalization was the development of infections other than COVID-19. For example, the diagnosis of a urinary tract infection, reported in 18 patients, was statistically significantly associated with longer hospitalization, on average 13.5 as compared to 9 days (p=0.003). Studies indicate that catheterized patients, hospitalized for a long time, are at a higher risk of developing urinary tract infections, while highlighting the importance of frequent change of the urinary catheter, to prevent the development of infection [20]. In a prospective observational study, Jalandra et al. showed that COVID-19 patients with co-infections had a higher mortality rate. 14% of patients had co-infections, out of which urinary tract infection was found in 9%. In addition, urinary co-infection emerged as an independent risk factor for mortality [5].

Another example of infections other than COVID-19, which were diagnosed in the study group, were C. difficile infection, bacteremia or sepsis (E. faecalis, P. mirabilis, P. aeuruginosa), Candida albicans organ fungal infections, and infected wounds. Other studies reported similar co-morbidities and their impact on hospitalization time and course. One of them, by Maslennikov et al., indicates that C. difficile infection worsens the course and prognosis of COVID-19 [9]. Another study showed that S. aureus bacteremia is associated with high mortality rates in hospitalized COVID-19 patients. The study also showed that patients with bacterial or fungal co-infection had a higher mortality and were hospitalized longer. The length of stay in the intensive care unit (13.8 vs. 6.7 days, p<0.001) and the length of hospital stay (18.6 vs. 11.8 days, p<0.001) were longer in the co-infection group [21].

The median lengths of hospitalization differed between groups of patients depending on their mode of discharge. Patients who were discharged to stationary care facilities, non-COVID wards, and those discharged to outpatient treatment were hospitalized for a longer time than those transferred to the ICU or those who died. This difference could have been caused by the difference in the severity of the patients upon admission and the progress of COVID-19.

In 2020, the average length of patient’s hospitalization in Poland was 6.8 days, ranked among the top ten countries with the longest hospitalization among the 34 analyzed countries [22]. A study by Tucker outlined that older patients, those who had additional medical conditions, or were put on mechanical ventilation had higher hospitalization costs, longer stays in the hospital, and an increased risk of death [23]. A shorter stay would reduce the cost per discharge.

Among 232 patients, 20 died in COVID-19 DIAMD ward, and 15 died in the ICU at the same hospital, resulting in a mortality rate of 15%. In a study by Kowalska et al., which covered data from all hospitals in Silesia from March to June 2020, the estimated in-hospital mortality rate for COVID-19 was 11.5% [24]. With reference to other publications, this number seems to be higher. However, this might have been because the hospitalized individuals in COVID-19 DIAMD were older than in many other studies. The mean age for men was 66.2±15.9 years and 66.8±13.3 years for women, while in other Polish study, the mean age for men was 57.4±18.7 years and for women 58.6±20.2 years for women [24]. In our study, nineteen patients (8.19%) were transferred to the ICU, and we can compare this number to the cohort by Nowak et al., in which 16% of patients were eventually admitted to the ICU [25]. The contribution of comorbidities is also important. In this study, out of 232 patients, only three had no comorbidities, while in the systematic review and meta-analysis, of respectively 33 and 22 studies by Morgan Spencer Gold et al., 59.2% of patients had no significant comorbidities [26]. In our study group, the most common comorbidities were cardiovascular diseases (79.7%) and gastrointestinal diseases (44.8%). In addition, many COVID-19 patients with severe comorbidities and/or in severe clinical condition were referred or transferred to COVID-19 DIAMD because of the facilities available in the multidisciplinary university hospital. The difference in available facilities, and thus potentially in the profile of hospitalized patients, was especially significant when compared to temporary COVID-19 hospitals. The establishment of temporary hospitals was based on the concept of treating COVID-19 patients whose condition would not require advanced treatment of coexisting diseases, while reducing the burden on normal hospitals during the pandemic [27]. A Polish study by Kanecki et al, including data on 8,840 patients, from February to September 2020, showed a mortality rate of 11.5%. In this study group, the mean age for men was 55.4±20.4 years and 59.5±21.7 years for women [28]. Another Polish study of 169 patients showed that 78.3% had comorbidities [25].

Chronic heart failure and ischemic heart disease were diagnoses which were statistically significantly associated with patient mortality. The Polish study by Kowalska et al. similarly found that the increased risk of death in COVID-19 patients is associated with the presence of chronic cardiovascular disease [24]. A study of 3,080 patients in Spain found that those with a previous history of chronic heart failure were more prone to the development of acute heart failure and had higher levels of NT-proBNP (N-terminal pro brain natriuretic peptide) during COVID-19 infection. In addition, COVID-19 patients with previous chronic heart failure had higher mortality rates [29].

Our study has some limitations. Due to the retrospective design of the study and obtaining the data from an electronic medical records system, some data recorded in the paper files of the patients may be missing. This could, in consequence, lead to the numbers being underestimated. Second, the statistical analysis and interpretation of our findings might be limited by the sample size. Third, the analyzed time period was relatively short (from November 2020 to June 2021); however, that was a result of how long DIAMD functioned as COVID-19 DIAMD.

We plan to continue our study by focusing on the evolution of the profile of COVID-19 patients over the 8-month time period when COVID-19 DIAMD functioned.

Conclusions

In conclusion, vitamin D deficiency, urinary tract infections, and infectious diseases other than COVID-19 were diagnoses which were statistically significantly associated with prolonged hospitalization of patients with COVID-19. The estimated mortality rate for patients with COVID-19 was 15%. The higher mortality rate in comparison to other studies might have been due to the high number of comorbidities in patients, which occurred in almost 99% of people and those in older age. Statistically significant factors that interplayed with patient mortality were chronic heart failure and ischemic heart disease.

Disclosures and acknowledgements

The authors declare no conflicts of interest with respect to the research, authorship, and/or publication of this article. This research received no specific grant from any funding agency in the public, commercial, or notfor-profit sectors. Artificial intelligence (AI) was not used in the creation of the manuscript. The data presented in the study can be accessed via contact with the corresponding author.

Notes

[7] Węgrzynek-Gallina J, Pilśniak J, Pilśniak A, Jarosińska A, Pietrukaniec M, Holecki M. Profile of patients diagnosed with COVID-19 infection: a single-center retrospective study. Health Prob Civil. 2024; 18(2): 180-193. https://doi.org/10.5114/hpc.2023.133494

References

1 

World Health Organization. Coronavirus disease (COVID-19) pandemic – overview [Internet]. Geneva: WHO [access 2023 Jan 13]. Available from: https://www.who.int/europe/emergencies/situations/covid-19

2 

World Health Organization. WHO Coronavirus (COVID-19) Dashboard [Internet]. Geneva: WHO [access 2023 Jan 13]. Available from: https://covid19.who.int/

3 

Schulze H, Bayer W. Changes in symptoms experienced by SARS-CoV-2-infected individuals-from the first wave to the omicron variant. Front. Virol. 2022; 2: 880707. 10.3389/fviro.2022.880707

4 

Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020; 395: 1054-1062. 10.1016/S0140-6736(20)30566-3

5 

Jalandra R, Babu A, Dutt N, Chauhan NK, Bhatia P, Nag VL, et al. Co-infections in hospitalized COVID-19 patients–a prospective observational study. Cureus. 2022; 14: e30608. 10.7759/cureus.30608

6 

Liu W, Yang C, Liao YG, Wan F, Lin L, Huang X, et al. Risk factors for COVID-19 progression and mortality in hospitalized patients without pre-existing comorbidities. J Infect Public Health. 2022; 15(1): 13-20. 10.1016/j.jiph.2021.11.012

7 

Kaya MO, Pamukçu E, Yakar B. The role of vitamin D deficiency on COVID-19: a systematic review and meta-analysis of observational studies. Epidemiol Health. 2021; 43: e2021074. 10.4178/epih.e2021074

8 

Polish Ministry of Health. Data published by the Ministry of Health in Poland [Internet]. Warsaw: Ministry of Health; 2021 Nov 29 [access 2023 Jan 13]. Available from: http://orka2.sejm.gov.pl/INT9.nsf/klucz/ATTC9AKBW/%24FILE/i27774-o1.pdf (in Polish)

9 

Maslennikov R, Ivashkin V, Ufimtseva A, Poluektova E, Ulyanin A. Clostridioides difficile co-infection in patients with COVID-19. Future Microbiol. 2022; 17: 653-663. 10.2217/fmb-2021-0145

10 

Central Statistical Office in Poland. [Mortality in 2021 in Poland. Deaths by cause – preliminary data] [Internet]. Warsaw: Central Statistical Office in Poland; 2022 May 16 [access 2023 Jan 13]. Available from: https://stat.gov.pl/obszary-tematyczne/ludnosc/statystyka-przyczyn-zgonow/umieralnosc-w-2021-roku-zgony-wedlug-przyczyn-dane-wstepne,10,3.html (in Polish)

11 

Central Statistical Office in Poland. The situation of older people in Poland in 2021 [Internet]. Białystok: Central Statistical Office in Poland; 2022 [access 2023 Jan 13]. Available from: https://stat.gov.pl/files/gfx/portalinformacyjny/en/defaultaktualnosci/3618/1/4/1/the_situation_of_older_people_in_poland_in_2021.pdf

12 

Central Statistical Office in Poland. [Working conditions in 2020] [Internet]. Gdańsk: Central Statistical Office in Poland; 2021 [access 2023 Jan 13]. Available from: https://stat.gov.pl/obszary-tematyczne/rynek-pracy/warunki-pracy-wypadki-przy-pracy/warunki-pracy-w-2020-roku,1,15.html (in Polish)

13 

Our World in Data. Number of COVID-19 patients in hospital in Poland [Internet]. Oxford: Global Change Data Lab [access 2023 Jan 13]. Available from: https://ourworldindata.org/grapher/current-covid-patients-hospital?country=POL&fbclid=IwAR33ymVRgUGo0emoO7kiwJNpkQNBsfbEwOWVYWPPCDn-4_05szRiEOkbDE

14 

Central Statistical Office in Poland. Indicator 3.4.1. [Deaths from cardiovascular disease, diabetes, cancers and chronic respiratory disease per 100,000 population] [Internet]. Warsaw: Central Statistical Office [access 2023 Jan 13]. Available from: https://sdg.gov.pl/statistics_glob/3-4-1/ (in Polish)

15 

Central Statistical Office in Poland. [Demographic situation of Poland until 2020. Deaths and mortality] [Internet]. Warsaw: Central Statistical Office in Poland [access 2023 Jan 13]. Available from: https://stat.gov.pl/obszary-tematyczne/ludnosc/ludnosc/sytuacja-demograficzna-polski-do-2020-roku-zgonyi-umieralnosc,40,1.html (in Polish)

16 

Rosiello F, Pietrantonio F, Di Berardino A, Delli Castelli M, Ciamei A, Piccione A, et al. Is COVID-19 introducing a new model of internal medicine ward?. European Journal of Public Health. 2021; 31: iii351. 10.1093/eurpub/ckab165.035

17 

Płudowski P, Ducki C, Konstantynowicz J, Jaworski M. Vitamin D status in Poland. Pol Arch Med Wewn. 2016; 126: 530-9. 10.20452/pamw.3479

18 

World Health Organization (WHO). The ICD-10 Classification of Mental and Behavioral Disorders. Geneva: World Health Organization; 1993

19 

Bassatne A, Basbous M, Chakhtoura M, El Zein O, Rahme M, El-Hajj Fuleihan G. The link between COVID-19 and vitamin D (VIVID): a systematic review and meta-analysis. Metabolism. 2021; 119: 154753. 10.1016/j.metabol.2021.154753

20 

Al-Hazmi H. Role of duration of catheterization and length of hospital stay on the rate of catheter-related hospital-acquired urinary tract infections. Res Rep Urol. 2015; 7: 41-7. 10.2147/RRU.S75419

21 

Orsini EM, Sacha GL, Han X, Wang X, Duggal A, Rajendram P. Risk factors associated with development of coinfection in critically ill patients with COVID-19. Acute Crit Care. 2022; 37: 312-321. 10.4266/acc.2022.00136

22 

The Organization for Economic Co-operation and Development (OECD). Length of hospital stay [Internet]. Paris: OECD [access 2023 Jan 13]. Available from: https://data.oecd.org/healthcare/length-of-hospital-stay.html

23 

Tucker K. COVID-19 hospitalization costs and outcomes in 2020 improved over time. [Internet]. College Station, TX: Vital Record; 2022 Jan 3. [access 2023 Jan 13]. Available from: https://vitalrecord.tamhsc.edu/covid-19-hospitalization-costs-and-outcomes-in-2020-improved-over-time/

24 

Kowalska M, Barański K, Brożek G, Kaleta-Pilarska A, Zejda JE. COVID-19-related risk of in-hospital death in Silesia, Poland. Pol Arch Intern Med. 2021; 131: 339-344. 10.20452/pamw.15893

25 

Nowak B, Szymański P, Pańkowski I, Szarowska A, Życińska K, Rogowski W, et al. Clinical characteristics and short-term outcomes of patients with coronavirus disease 2019: a retrospective single-center experience of a designated hospital in Poland. Pol Arch Intern Med. 2020; 130: 407-411. 10.20452/pamw.15361

26 

Gold MS, Sehayek D, Gabrielli S, Zhang X, McCusker C, Ben-Shoshan M. COVID-19 and comorbidities: a systematic review and meta-analysis. Postgrad Med. 2020; 132: 749-755. 10.1080/00325481.2020.1786964

27 

Szarpak L, Pruc M, Nadolny K, Smereka J, Ladny J. Role of a field hospital in COVID-19 pandemic. Disaster Emerg Med J. 2020; 5: 221-223. 10.5603/DEMJ.a2020.0046

28 

Kanecki K, Nitsch-Osuch A, Goryński P, Wojtyniak B, Juszczyk G, Magdalena B, et al. Hospitalizations for COVID-19 in Poland: a study based on data from a national hospital register. Pol Arch Intern Med. 2021; 131: 535-540. 10.20452/pamw.15946

29 

Rey JR, Caro-Codón J, Rosillo SO, Iniesta ÁM, Castrejón-Castrejón S, Marco-Clement I, et al. Heart failure in COVID-19 patients: prevalence, incidence and prognostic implications. Eur J Heart Fail. 2020; 22: 2205-2215. 10.1002/ejhf.1990

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