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Case Study

COVID-19 pneumonia in older patients: clinical features and outcomes of a 400 case series

[version 1; peer review: awaiting peer review]
PUBLISHED 12 Jan 2024
Author details Author details
OPEN PEER REVIEW
REVIEWER STATUS AWAITING PEER REVIEW

This article is included in the Coronavirus collection.

Abstract

Background

Since late 2019, COVID-19 has been a major health issue worldwide. Older patients seemed more susceptible to severe forms and complications with higher mortality rates. This study aimed to identify the clinical features and outcomes of SARS-Cov-2 pneumonia in elderly patients.

Methods

Retrospective monocentric study in the internal medicine Covid-19 unit of the Ben Arous regional hospital, enrolling admitted patients with confirmed SARS-CoV-2 pneumonia, aged 65 years and above from September 2020 to September 2021.

Results

The study group counted 222 women (55.5%). The mean age was 74 years. At least one chronic disease was found in 84.75% of patients. The most common comorbidities were high blood pressure (55.75%), and diabetes mellitus (50%). The most frequent symptoms were dyspnoea (69.8%), fatigue (66.8%) and dry cough (65.8%). Corrected Qt interval was prolonged in 24.2% of cases. Chest computed tomography were performed in 277 cases (69.3%). Ground glass opacities (93.86%), consolidations (73.3%) and crazy paving (36%) were the main findings. Assessment of pulmonary extent found important involvement (41.87%), sever lesions (23.82%), moderate involvement (21.29%) and critical involvement (1.8%). C-reactive protein (CRP) was elevated in 94.25% of patients. Elevated D-dimer levels were common (68.8%). Antinuclear antibodies were positive in 22.85% cases, and lupus anticoagulant in 35.41%. Acute kidney failure was noted in 25% of patients. The incidence of pulmonary embolism in the current study was 12.99%. The death rate was 8%. According to multivariate logistic regression: older age (odds ratio:1.11, 95% CI: 1.058-1.167; P P< .005), elevated C-reactive protein levels (odds ratio: 1.008, 95% CI: 1.003-1.013; P< .005) and duration of hospital stay (odds ratio: 1.131, 95% CI: 1.062-1.204; P< .005) were predictive factors of mortality.

Conclusions

Clinical presentation of covid-19 pneumonia in elderly patients is particular due to pre-existing comorbidities and frailty. Mortality risk factors are age, elevated CRP and length of hospitalization.

Keywords

Covid-19 pneumonia, elderly, lung disease, long QT syndrome

Introduction

In late 2019, a novel human coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) was firstly identified in Wuhan, China, as the cause of coronavirus disease 2019 (COVID-19).1 Ever since, COVID-19 out-break became a major health issue worldwide.

COVID-19 presents a wide spectrum of symptoms from asymptomatic forms with sometimes loss of taste and smell,2 mild symptoms including lethargy, fever and cough to severe hypoxemic pneumonia up to acute respiratory distress and multiorgan failure.

It was clear that age and comorbidities are major prognostic factors within the literature.3 Indeed, age has been strongly associated with poor outcomes and from the earliest stages of the pandemic, age dependent risk of infection and mortality was reported by several studies.4,5

The rate of older patients in study cases represented, among infected patients, from 15.1% in Guan et al. study,6 up to 52% in Yang et al. study.7

Older patients seem more susceptible to severe forms and more prone to severe outcomes with higher mortality rates. Due to frailty and multimorbidity, they require longer hospital stays and more assistance.8

This susceptibility is due to physiological changes such as anatomic changes in nasal cavity volume,9 mucociliary clearance time10 and reductions in lung physiological capacity11 exposing elderly to infections of the upper and lower respiratory tract. Frailty and respiratory impairment are highly associated and when both are present the death risk increases substantially.12 This susceptibility is also due to immunosenescence, defined as immune system decline13 and age-related decline in cellular repair mechanisms that causes increase pro-inflammatory cytokine production resulting in “inflammaging”.14

Clinical presentation in older patients may be challenging since it can be atypical with absence of fever and absence of respiratory symptoms yet with exacerbation of heart failure and neurological symptoms such as delirium and confusion or strokes.15 These factors contribute to heavier charges on the healthcare system.

The aims of this study were to describe the clinical features, biological and radiological abnormalities in older patients with SARS-Cov-2 pneumonia, to report complications and mortality rate among the study group and to identify factors associated with poor outcomes.

Methods

Ethical considerations

Informed patient’s consent to admission in the Covid-19 unit and for use of their data for research was signed by each patient. The ethics committee of the regional hospital of Ben Arous approve the clinical research protocol in November 2022 (number: 09/2022).

Study design

We conducted a monocentric descriptive retrospective study in the Covid-19 unit of the internal medicine department in the regional hospital of Ben Arous, Yesminette, from September 2020 to December 2021 inclusion criteria were: age ≥ 65 years, biological proof of SARS-Cov-2 infection (positive SARS-CoV-2 real-time polymerase chain reaction (RT-PCR), positive SARS-CoV-2 rapid antigen test, serological proof of recent infection) and SARS-CoV-2 pneumoniae and severe pneumoniae as defined by the world health organization (WHO).16 Sex of patients was determined based on external examination. We excluded SARS-Cov-2 infection with no pneumoniae.

We collected data from a record card that included: demographic data, medical history, diagnosis delay, physical examination, radiological and biological findings, complications, treatment and evolution. Investigators had full access to the medical records of the patients since they were clinicians practicing in the mentioned medical ward. Data cleaning: Handling Missing Data: - eliminating null values via: * deleting empty columns and lines * involve Random Forest as imputation method in order to handle non-linearity well. We also performed Data Validation in order to eliminate any values that are mistakenly inserted. Normalization and Standardization: We standardized all units of measurement and tried as much as we could to normalize numerical features Data Transformation: We Transform some variables as needed, such as converting categorical variables into numerical representations (encoding). * We also performed feature engineering to create new variables that may enhance statistical precision (we split multinomial variables into multiple columns encoded as 0 or 1).

Statistical analysis was performed using IBM SPSS Statistics® version 25. Categorical variables were given as counts and percentages. Normally distributed variables were expressed as the mean ± standard deviation, while the non-normally distributed variables were expressed as the median and the interquartile range. A logistic regression was performed to ascertain the effect of parameters (selected according to similar presented studies) on the likelihood of mortality; including age, comorbidity, gender, quick SOFA score, respiratory rate, lymphopenia, eosinopenia, prolonged corrected QT, oxygen needs at admission, D-Dimer levels, troponin levels, C-reactive protein levels and lactate dehydrogenase levels. Factors were considered predictive if significant with a p value (>0.05).

Results

Descriptive analysis

Demographic data

The study group included 222 women (55.5%) and 178 men (Figure 1).59 The mean age was 74 years [65-97 years] and 77% of patients (N=308) were aged between 65 and 79.

012fd4bf-c3ec-40eb-90f1-542d2c556b8f_figure1.gif

Figure 1. Flow chart of the inclusion process.

Co-morbidities

In total, 30% of the study population (N=120) had more than two co-morbidities while 27% (N=108) had two co-morbidities and 27.75% (N=111) had just one co-morbidity. So, in total 84.75% of the study group had at least one chronic disease. The most frequent chronic disease was high blood pressure (55.75%) whether it was known before admission in 203 cases (91%) or discovered during the hospital stay in 10 cases (9%). The second most frequent co-morbidity was diabetes mellitus (50%); In 24% of cases (N=48), it was discovered upon admission. 48% of patients (N=96) were not within treatment target and 22.5% (N=45) had chronic complications such as coronary arteries disease in six patients(13.33%), diabetic nephropathy in 26 cases (57.78%), neuropathy in four patients (8.89%), retinopathy in six cases (13.33%), feet problems in three patients (6.67%). Pre-diabetes was found in 18% of cases (N=72). The third most frequent comorbidity was hyperlipemia (25.25%) followed by obesity in25% of cases.

Clinical presentation

The most common symptoms were dyspnoea (69.8%), fatigue (66.8%), and dry cough (65.8%).

Electrocardiogram (ECG) abnormalities were the most common physical examination abnormalities observed in the study including corrected QT (cQT) interval prolongation, observed in 97 cases (24.2%) on admission. Among them, 60 ECGs (61.8%) were controlled revealing that 39 (65%) returned to normal range.

Among the 39 patients who had prolonged corrected QT interval that returned to normal, 24 (61.5%) were exposed to azithromycin before admission.

Clinical features are presented in Table 1.

Table 1. Clinical features of SARS-Cov-2 pneumonia.

Clinical features Number of patients Percentage %
Symptoms
Dyspnoae 279 69.8%
Fatigue 267 66.8%
Dry cough 263 65.8%
Fever 222 55.5%
Diarrhoea 110 27.5%
Vomiting 89 22.3%
Headache 83 20.8%
Anorexia 78 19.6%
Productive cough 55 13.8%
Anosmia 53 13.3%
Ageusia 51 12.8%
Myalgia 44 11%
Nausea 27 6.8%
Weight loss 26 6.5%
Abdominal pain 22 5.5%
Chest pain 15 3.8%
Arthralgia 5 1.3%
Physical examination parameters
Oximetry level < 94% 339 84.8
Respiratory rate >24 cycle/min 120 30
Conduction abnormalities: 110 27.55
Left anterior fascicular block 47 11.75
Right branch block 40 10
AF 15 3.7
Sino atrial block 9 2.1
Elongated corrected QT interval 97 24.2
Abnormal pulmonary auscultation sounds 62 15.5
Crackles 51 12.8
Ronchi 11 2.8
Sinus tachycardia 52 13
High temperature 15 4.1
Signs of cardiac failure 10 2.5

Radiological findings

Chest computed tomography (CT) was performed in 277 cases (69.3%).The mean delay between symptoms and chest computed tomography was 10 days [0-37days]. The most common findings were ground glass opacities (93.86%), consolidations (73.3%), followed by crazy paving (36%) (Table 2).

Table 2. Computed tomography results in older patients with Covid-19 pneumonia.

CT findings N %
Ground glass opacities: 260 93.86
Diffuse 215 82.69
Nodular 26 10
N/A 5 1.92
Consolidation 173 73.3
Crazy paving 144 36
Lymphadenopathy 46 16.6
Emphysema 43 15.52
Organizing pneumonia 40 14.44
Pleural effusion 36 12.99
Pericardial effusion 14 5.05
Centro-lobular micronodules 8 2.88
Bronchiectasis and bronchiolectasis 7 2.52
Architectural distortion 3 1.08
Pulmonary embolism 36 12.9
Distal 26 72.22
Bilateral 18 50
Spontaneouspneumomediastinum 1 0.36
Pneumothorax 1 0.36

Radiological lesions observed on CT scan were bilateral in 244 cases (88.08%) and had a basal predominance in 145 cases (52.34%). The parenchymal lung involvement was important in 116 cases (41.87%), severe in 66 cases (23.82 %) and critical in only 5 cases (1.8%).

Biological findings

Hyperleukocytosis was found in 127 cases (31.8%) while 25 (6.3%) patients had leucopenia. Lymphopenia and eosinopenia were found in 61.5% (N=246) and 47.8% (N=201), respectively. Anemia was noted in 34% of cases (N=136); 60.29% were females. It was microcytic in 79 cases (56.83%), normocytic in 52 (38.23%) and macrocytic in five cases (3.67%).Thrombopenia was found in 4.5% of cases (N=18). D-dimer adjusted to age were elevated in 274 patients (68.8%). Twenty-three patients (5.75%) had C-reactive protein (CRP) level within normal range (<10 mg/l). Procalcitonin level was positive in 32.4% (n=46) of cases.

Many disorders have been revealed including: liver analysis abnormalities (60.6%), phosphor and calcium metabolism disorders (54.6%), ionic disorders (43.8%), endocrinopathies (31.7%) and acute renal failure (25%) (Table 3).

Table 3. Metabolic disorders in elderly patients with Covid-19 pneumonia.

Metabolic disorder N %
Hepatic disorders 242 60.6%
Elevated transaminases 91 22.8
Cholestasis 87 21.8
Prolonged prothrombin time 64 16
Phosphocalcic disorders 218 54.6%
Hypophosphoremia 102 25.5
Hypocalcemia 93 23.3
Hyperphosphoremia 14 3.5
Hypercalcemia 9 2.3
Ionic disorders 175 43.8%
Hypokalemia 66 16.5
Hyponatremia 61 15.3
Hyperkalemia 40 10
Hypernatremia 8 2
Endocrine disorders 117 31.7%
Hyperthyroidism 71 18.6
Hyperparathyroidism 39 11,3
Hypothyroidism 7 1.8
Acute renal failure 100 25%
Myolysis 50 12.5%

Noteworthy, the most common endocrinopathy was hyperthyroidism in 71 cases (18.6%), 18 patients were retested three months after the infection and had normal results.

Immunological disorders

Direct Coombs test was investigated in 316 cases. It was positive in 36 cases (11.39%) without hemolytic anemia. Antinuclear antibodies were looked for in 175 patients and were positive in 40 cases (22.85%). Lupus anticoagulant (LA) was performed in 192 cases. It was positive in 82 patients (42.7%). Anti-B2Glycoprotein1 (anti-B2GP1) was performed in 202 cases and was positive in 15 (7.42%) of them. Anti-cardiolipin was positive in six cases (3%) out of 200 performed analysis. Double positivity was noted in four patients: three had anticardiolipin and lupusanti-coagulant positivity while one patient had both anti-B2GP1 and LA. No patient had threefold positivity of antiphospholipid antibodies.

Pneumonia severity assessment

Ratio of arterial oxygen partial pressure to fractional inspired oxygen (PaO2/FiO2 ratio)

PaO2/FiO2 ratio was calculated in 373 cases (93.3%). It ranged from 95 to 494.59 with a mean of 267.05.

QuickSOFA score (Q SOFA)

Two hundred and fifty patients (62.5%) had a q SOFA score of one, 123 patients (30.7%) had a q SOFA score of zero and in 27 cases (6.8%) the q SOFA score was two.

Oxygen requirements

Overall, 95% of patients (N=380) required oxygen during their hospital stay. Oxygen requirements at admission ranged from 1 L/min to 24 L/min with a mean of 3.27 L/min, 164 needed between one to two L/min, 111 needed three to four L/min, 37 needed five to six L/min and 71 needed more than six L/min.

Oxygen was administered via: nasal mask to 356 patients (89%), high concentration mask to 65 (16.3%), Opti flow to 13 patients (3.3%) and continuous positive airway pressure (CPAP) to 15 patients (3.8%).

Oxygen withdrawal delay ranged from one to 25 days with a mean of five days.

The duration of hospital stay ranged from one to 33 days with a mean of seven days.

Complications of COVID-19 pneumonia in older patients

Metabolic complications were the most frequent (N=148, 37%), followed by acute respiratory distress (N=80, 20%) and bacterial infection (N=62, 15.5%) (Table 3). Pulmonary embolism was observed in 36 cases (9%). Among patients with pulmonary embolism only two had concomitant deep vein thrombosis. Septic shock was noticed in 18 patients (4.5%). Cerebral stroke was noticed in 2 cases (0.5%).

Evolution

Full recovery was obtained for 334 patients (83.5%), 35 (8.8%) were referred to intensive care units, 28 (7%) died, two (0.5%) were discharged with home oxygen therapy and one patient (0.3%) was referred to another department. Of those who went to intensive care units (N=35), 12 died, eight recovered and were discharged, three returned to our ward and for the rest no information was available. Hence, the overall death rate was 10% (N=40).

Study of correlations

Factors correlated to complications and death

Age was significantly correlated to metabolic complications, heart failure, acute respiratory distress and secondary bacterial infection (p<10−3). Otherwise, metabolic complications, acute respiratory distress and bacterial infection were intercorrelated (p<10−3).

Length of stay had a significant correlation with acute respiratory distress and bacterial infection but no correlation with metabolic complications (p<10−3).

We also found that pulmonary embolism was only correlated to confusion and deep vein thrombosis (p<10−3 and p=0.04 respectively).

Furthermore, age and history of neoplasia and heart failure were significantly correlated to death (p=0.001, p=0.016 and p=0.043 respectively).

Dyspnoae and important parenchymal involvement corresponding to [26-50%] of lung damage were well correlated to death (p=0.002 and 0.019).

Oxygen needs exceeding six L/min were highly correlated to mortality with p value <10−3.

Complications such septic shock as well as acute respiratory distress were statistically correlated to death (p<10−3).

Logistic multivariate regression

Multivariate regression was performed in some parameters according to the literature review. According to multivariate logistic regression: older age (odds ratio:1.11, 95% CI: 1.058-1.16; p<0.005), elevated CRP levels (odds ratio: 1.008, 95% CI: 1.003-1.013; p<0.005) and duration of hospital stay (odds ratio: 1.131, 95% CI: 1.062-1.204; p<0.005) were significantly predictive factors of mortality, while respiratory rates, lymphopenia, eosinopenia, D-dimers levels, and troponin levels were not statistically significant.

Men have higher risk of mortality albeit the p value is not statistically significant (Table 4).

Table 4. Multivariate regression results.

Multivariable OR (95% CI) p value
Age 1.111 (1.058-1.167) .005 >
Comorbidity present 0.349 (0.81-1.501) .157
Male 1.848 (0.851-4.012) .051
qSOFA score > 0 1.524 (0.569-4.083) .383
Respiratory rate 1.020 (0.963-1.080) .501
Lymphopenia 0.998 (0.980-1.016) .808
Eosinopenia 0.744 (0.370-1.496) .407
Prolonged corrected QT 1.865 (0.854-4072) .083
Oxygen needs at admission 1.095 (0.969-1.239) .074
D-Dimer levels 1.000 (1.000-1.000) .584
Troponin 1.001 (1.000-1.002) .111
CRP 1.008 (1.003-1.013) .005 >
LDH 1.001 (1.000-1.002) .070
Duration of hospital stay 1.131 (1.062-1.204) .005 >

Discussion

The COVID-19 outbreak affected people of all age categories. The older population, was strongly affected by the virus since the beginning, and age was considered an independent risk factor.4 Meanwhile, information about the characteristics of COVID-19 pneumonia and the potential prognostic factors in this specific group seem to be intriguing.

We designed a single large study including 400 elderly patients in order to report the clinical and radiological particularities of COVID-19 pneumonia in aged patients along with the rate of mortality and complications.

Since it is a retrospective study, determining risk factors and prognostic factors may not be accurate. Yet, we tried to extract factors associated with severe illness, fatality and mortality among our group of patients. Another limit of the study is that we did not present further information about the follow up of the discharged patients and the long-term impact of the hospitalization as perceived by this particular group of patients.

Many studies reported a majority of male patients being more prone to COVID-19 infection,17 which has been debated as susceptibility to infection is not gender dependent yet outcomes might be. That was explained by the higher levels of angiotensin-converting enzyme 2 (ACE2) in males and other behavioral factors including smoking and reaching out for medical help.18 In our study, we observed a slightly higher percentage of infected women which is in line with Lian et al. study of older COVID-19 patients.19 Among our patients, 30% had more than two comorbidities while 27% had two comorbidities, exceeding the rate that Wang et al. reported; 23.9% of their patients having two comorbidities or more.20 In the latter study, hypertension (40.8%) was found to be the most common comorbidity followed by diabetes (16%) and our study revealed a higher prevalence of these two comorbidities 55.75% and 50%, respectively. An important fact is that these comorbidities were in many cases discovered during the hospital stay for COVID-19 pneumonia.

Fever is the most common symptom reported in the literature and it is a symptom leading patients to seeking medical help.15 In our study fever was reported by half of the patients yet it came in fourth place after dyspnoae, fatigue and cough. This disparity can be explained by the fact that fever may lack in frail elderly. The time lapse between onset of symptoms to admission was nine days, while the mean reported delay was six days in Córdova et al. systematic review.21 Peripheral blood oximetry levels below 94% were the most common abnormality in physical examination (84.8%) followed by dyspnoea (30%). Tachypnoea was found in 20.9% of the study population in Zhou et al. retrospective study in a single-center in Wuhan which was demonstrated to be an independent risk factor for mortality.22

The most common ECG abnormalities were conduction disorders (27.55%) such as Left anterior fascicular block, right branch block, atrial fibrillation, sino-atrial block and prolongation of corrected QT interval (24.2%). AF were detected in 13% of COVID-19 patients admitted to the dedicated internal-medicine unit in Mele et al. study, that was explained by the older age of patients.23 Long corrected QT interval have been mentioned in previous studies24,25 even in absence of medication intake that induces QT interval prolongation such as azithromycin and hydroxychloroquine, which can be secondary to viral induced myocyte damage.

As in other literature reports,26 the most frequent CT findings were ground glass opacities with mostly a peripheral and bilateral distribution. In elderly population, consolidations can be a predominant pattern compared to younger patients as well as atypical imaging findings.27 The third most common pattern observed in the current study was crazy paving in 36% of cases yet its prevalence varies widely in the literature from 5% to 89%28 and it has been associated to the inflammatory phase.29 Pleural effusion has been mentioned in previous studies reaching up 23% in Okoye et al. study30 which exceeded the percentage found in our study (12.99%) and was considered as a marker of disease severity and this higher proportion may be explained by the higher prevalence comorbidities like heart and renal failure. In our study, we noted many rare radiological findings like lymphadenopathy and pericardial effusion. Both have been associated to more severe pneumonia. Noteworthy, spontaneous pneumomediastinum was described in one case. It is a rare complication of Covid-19 pneumonia in the literature31 due to inflammation and alveolar injury with increased intra-alveolar pressure caused by coughing.

We found that 41.87% of patients had important involvement meaning that 26 to 50% of the lungs were damaged, while 23.82% had severe lesions and 21.29% had moderate involvement. Critical involvement was noted in only 1.8% of patients. While, six patients had no pulmonary lesions even though they had dypsnoae and hypoxemia. This may be explained by early imaging in the course of the disease.

In Ruch et al. series,32 moderate involvement was the most common (39.2%).The critical involvement represented 2.3% of cases. In the latter study, lung involvement > 50% was associated to early death or intensive care unit (ICU) admission while in our study we found that important parenchymal involvement corresponding to [26-50%] of lung damage was significantly correlated to death.

Moreover, C-reactive protein was elevated in 94.25% of patients which is corroborated by several studies.17 Procalcitonin was positive in 32.4% of cases, due to bacterial infection complicating the viral pneumonia course. However, in literature there was no significant difference reported between procalcitonin levels in elderly compared to young COVID-19 patients.

Lymphopenia was found in 61.5% of cases, similar to Wang et al. series.20 Thrombopenia was also observed in 4.5% of cases and it was more important in dead patients. Eosinopenia found in 47.8% of cases, has been described as a biological marker of SARS-cov-2 infection.33 Besides, D-Dimer levels adjusted to age were used to accurately interpret elevation due to common positive D-Dimers levels in older patients.34 Elevated D-dimer levels were common (68.8%) and they not only predicted pulmonary embolism but also reflected the intensity of the inflammatory process and predicted poor prognosis.35

The mean lactate dehydrogenase was 387 U/L, similar to the result reported in Chen et al. study.36 They have been reported to be elevated in older patients and to help recognize severe cases of COVID-19 pneumonia.37

Antinuclear antibodies positivity has been commonly reported in literature, with significantly higher titers in patients with poor prognosis. Out of 175 investigated antinuclear antibodies, 22.85% were positive close to the results reported by Peker et al. (18%).38 Positivity of antinuclear antibodies is observed in other viral infections that can trigger auto-immunity in predisposed individuals.39 Lupus anticoagulant was positive in 35.41% of tested cases, which is the most common anti phospholipid antibody (aPL), in line with the systematic review of Taha et Samavati,40 who reported a 46.8% positivity of LA and a positivity of at least one aPL in nearly half of the infected patients. Single positivity of LA has been observed during the acute phase of COVID-19 infection, yet with no clear evidence in causing thrombotic complications.41 In our study, among patients with pulmonary embolism 19 had positive LA yet when retested only one case remained positive. Such result emphasizes the fact that single positive lupus anticoagulant is transient and it needs to be retested especially in patients with thrombotic complications in order to determine the duration of anticoagulation therapy.

The most common complications were metabolic complications in 37% of cases such as phosphocalcic disorders: hypophosphoremia and hypocalcemia were the most frequent. Hypocalcemia is common in severe disease and even non severe disease forms42 while hypophosphatemia may be associated with increased mortality.43

Likewise other viral infections, Covid-19 infection can induce subacute thyroiditis either by the direct viral infection or post viral inflammation or by triggering the activation of auto-immune thyroiditis.44 Thyroid dysfunction is usually reversible after remission. This fact explains the thyroid disorders, mainly hyperthyroidism noted in 18.6% of cases in this study that returned to normal in 25.3% of them. Acute kidney failure was noted in 25% of our study population, like the rate observed in Neumann et al. systematic review.17 Elevated transaminase and cholestasis have been observed in our study in 22.8% and 21.8%, respectively, even in the absence of viral hepatitis B and C infections. Liver damage induced by Covid-19 is common and the mechanisms of the dysfunction are due to the presence of ACE2 receptors causing cholangiocyte dysfunction.45 Myolysis induced by Covid-19 infection have been reported in the literature with an overall incidence between 0.2-2.2%. Muscle enzymes elevation is more common.46 Acute respiratory distress syndrome: mild acute respiratory distress syndrome was observed in 134 (64.73%) out of 207 calculated PaO2/FiO2 ratios, higher than the ratios reported by Zhou et al.,22 while moderate acute respiratory distress (ARDS) was noted in 17 (8.21%) of them which is lower than the aforementioned study.

Secondary bacterial infection occurred in 15.5% of cases higher than 4.9% reported in Neumann et al. review. A hypothesis to this result is the higher rate of comorbidities in our population study, long diagnosis and admission delays added to auto-medication before admission. The incidence of pulmonary embolism in the current study was 12.99%. The incidence rate varied in several studies and in a recent systematic review by Gong et al. the incidence in non-intensive care patients was 17%.47 The endothelial injury, systemic inflammation, reduced mobility and platelets activation play a major role in the prothrombotic state in infected patients. Nonetheless, aPL positivity was not associated to increased risk of thrombosis or embolism.40

Age has been known to be an important risk factor of poor outcome and mortality in Covid-19 patients, it rated 10% in our study. In a recent systematic review, reported death rates varied from 0% to 64% due to major differences in epidemiological characteristics of the studied cohorts.48 Studies including patients aged 65 and above had higher mortality rates than our study.4951 The relatively low mortality rate in our study can be explained by the fact that the study included patients admitted to a medical department and did not include intensive care units patients add to that a relatively rapid admission. Another limit impacting the death rate is the lack of information regarding 15 patients referred to ICU. Patients aged 80 and over are rarely reported in literature21 and account for high death rates.52 In the current study we proved that advanced age is indeed predictive for in-hospital mortality.

Some studies reported that men had higher mortality risk than women.53,54 The majority of our patients had comorbidities with the two most common being high blood pressure followed by diabetes which is in line with the literature5 although, they were not associated to higher mortality. Respiratory rate is known as a risk factor for mortality22 which was not proven in our study while dyspnoea was correlated with death, such in Zhou et al. study.22

In Ruch et al.’s study32 lung involvement > 50% was associated with early death or intensive care unit admission yet in our study parenchymal involvement corresponding to [26-50%] of lung damage were well correlated to death. Oxygen needs exceeding six liters/min on admission were highly correlated to mortality, reflecting the severity of pneumonia and the need of more assistance. Prolonged QT has been proposed as a prognoses predictor by Akhtar et al.,55 however this was not observed in our study. As in previous reports56,57 elevated CRP levels were correlated to death. CRP has been considered as a marker of the cytokine storm in Covid-19 patients.56 The length of hospital stay in our study was predictive of mortality, since it can be source of complications and it may promote transmission to healthcare workers.58

Since it is a retrospective study, determining risk factors and prognostic factors may not be accurate. Yet, we tried to extract factors associated with severe illness, fatality and mortality among our group of patients. Another limit of the study is that we did not present further information about the follow up of the discharged patients and the long-term impact of the hospitalization as perceived by this particular group of patients. We are aware of selection bias, since people with comorbidities are more prone to hospitalization yet in comparison with other studies the high rate of comorbidities in our study group is certainly an eye-opening fact to the importance of systematically screening chronic diseases during hospitalization for acute disease.

In conclusion, Covid-19 became a major health issue worldwide. Elderly patients represent a particular category due to the vulnerable pre-existing state of patients, making the outcomes more severe. Thus, they need in-hospital medical care with longer stays, more ICU admissions with heavy outcome on health care systems.

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Cherif Y, Jridi M, Derbal S et al. COVID-19 pneumonia in older patients: clinical features and outcomes of a 400 case series [version 1; peer review: awaiting peer review] F1000Research 2024, 13:58 (https://doi.org/10.12688/f1000research.143690.1)
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