Clinical characteristics and outcomes of critically ill COVID-19 patients in Sfax, Tunisia

Mabrouk Bahloul; Sana Kharrat; Kamilia Chtara; Malek Hafdhi; Olfa Turki; Najeh Baccouche; Rania Ammar; Nozha Kallel; Majdi Hsairi; Olfa Chakroun-Walha; Chokri Ben Hamida; Hedi Chelly; Khaiereddine Ben Mahfoudh; Abelhamid Karoui; Hela Karray; Noureddine Rekik; Mounir Bouaziz

doi:10.4266/acc.2021.00129

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Original Article Infection Clinical characteristics and outcomes of critically ill COVID-19 patients in Sfax, Tunisia: Mabrouk Bahloul¹, Sana Kharrat¹, Kamilia Chtara¹, Malek Hafdhi¹, Olfa Turki¹, Najeh Baccouche¹, Rania Ammar¹, Nozha Kallel², Majdi Hsairi³, Olfa Chakroun-Walha⁴, Chokri Ben Hamida¹, Hedi Chelly¹, Khaiereddine Ben Mahfoudh², Abelhamid Karoui³, Hela Karray⁵, Noureddine Rekik⁴, Mounir Bouaziz¹; Acute and Critical Care 2022;37(1):84-93.
DOI: https://doi.org/10.4266/acc.2021.00129
Published online: November 16, 2021

¹Department of Intensive Care, Habib Bourguiba University Hospital, Sfax University, Sfax, Tunisia

²Department of Radiology, Habib Bourguiba University Hospital, Sfax University, Sfax, Tunisia

³Department of Anesthesiology, Habib Bourguiba University Hospital, Sfax University, Sfax, Tunisia

⁴Department of Emergency Medicine, Habib Bourguiba University Hospital, Sfax University, Sfax, Tunisia

⁵Department of Microbiology, Habib Bourguiba University Hospital, Sfax University, Sfax, Tunisia

Corresponding author: Mabrouk Bahloul Department of Intensive Care, Habib Bourguiba University Hospital, Sfax 3029, Tunisia Tel: +216-98-69-8267, Fax: +216-74-24-3427, E-mail:bahloulmab@yahoo.fr

• Received: January 23, 2021 • Revised: April 9, 2021 • Accepted: April 11, 2021

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
KEY MESSAGES
NOTES
REFERENCES

Abstract

Background
Africa, like the rest of the world, has been impacted by the coronavirus disease 2019 (COVID-19) pandemic. However, only a few studies covering this subject in Africa have been published.
Methods
We conducted a retrospective study of critically ill adult COVID-19 patients—all of whom had a confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection—admitted to the intensive care unit (ICU) of Habib Bourguiba University Hospital (Sfax, Tunisia).
Results
A total of 96 patients were admitted into our ICU for respiratory distress due to COVID-19 infection. Mean age was 62.4±12.8 years and median age was 64 years. Mean arterial oxygen tension (PaO2)/fractional inspired oxygen (FiO₂) ratio was 105±60 and ≤300 in all cases but one. Oxygen support was required for all patients (100%) and invasive mechanical ventilation for 38 (40%). Prone positioning was applied in 67 patients (70%). Within the study period, 47 of the 96 patients died (49%). Multivariate analysis showed that the factors associated with poor outcome were the development of acute renal failure (odds ratio [OR], 6.7; 95% confidence interval [CI], 1.75–25.9), the use of mechanical ventilation (OR, 5.8; 95% CI, 1.54–22.0), and serum cholinesterase (SChE) activity lower than 5,000 UI/L (OR, 5.0; 95% CI, 1.34–19).
Conclusions
In this retrospective cohort study of critically ill patients admitted to the ICU in Sfax, Tunisia, for acute respiratory failure following COVID-19 infection, the mortality rate was high. The development of acute renal failure, the use of mechanical ventilation, and SChE activity lower than 5,000 UI/L were associated with a poor outcome.
Keywords: COVID-19; intensive care unit; prognosis; respiratory distress

INTRODUCTION

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the coronavirus responsible for the coronavirus disease 2019 (COVID-19) pandemic that originated in China and spread rapidly worldwide. COVID-19 has affected 219 countries, with more than 118 million infected patients and more than 2.6 million deaths reported [1]. In Africa, more than 4 million cases have been reported, with more than 239,000 cases confirmed in Tunisia [1]. Cough and fever are the most prevalent symptoms, whereas gastrointestinal symptoms are relatively less common [2]. Severe cases of acute COVID-19 infection are generally characterized by acute respiratory distress, and the most frequently reported cause of death is refractory hypoxemia. In fact, it is well established that up to 5% of COVID-19 infected patients develop severe acute respiratory failure requiring intensive care unit (ICU) admission, as well as invasive and/or non-invasive mechanical ventilation (NIV) as supportive care. Moreover, the mortality rate reported worldwide for COVID-19 infected patients requiring ICU admission ranges from 17% to 62% [3].

In Africa, there is little information available about the clinical characteristics and prognosis of COVID‐19-infected patients [4-8]. Global mortality rates range from 4% to 5.6% [4-8]. In-hospital mortality is high, in particular for patients with acute respiratory distress requiring ICU admission and mechanical ventilation [4-8]. In fact, the mortality rate reported in severe cases ranges from 50% to 100% [4-8]. However, to the best of our knowledge, apart from some reported cases [9,10], there have been no studies from Tunisia concerning severe cases of patients with COVID-19 requiring ICU admission. We conducted this study to describe the clinical features and outcomes of severely ill patients with COVID-19 infection in Sfax, Tunisia.

MATERIALS AND METHODS

This study was approved by the Institutional Review Board of Habib Bourguiba University Hospital (IRB No. 309/2021) and the requirement for written informed consent was waived by the ethics committee. This was a retrospective study of critically ill adult COVID-19 patients—all of whom had a confirmed SARS-CoV-2 infection—admitted between 01 September (the first case) and 04 December 2020 into the ICU of Habib Bourguiba University Hospital. In fact, in Sfax and during the first wave (March-May 2020) of the COVID-19 pandemic, the number of COVID-19 infected patients was very low (less than 60 patients) and all were admitted to the COVID department. During the second wave, severe COVID-19 cases characterized by acute respiratory distress were all hospitalized in the ICU of Habib Bourguiba University Hospital. Our COVID-19 ICU department is a 16-bed, medical-surgical ICU in a teaching hospital of 510 beds that serves as a first-line medical center for an urban population of more than one million inhabitants.

Case Definition

The diagnosis of COVID-19 infection was confirmed by reverse transcription polymerase chain reaction testing (kit: genesig real-time PCR CORONAVIRUS COVID-19; CE IVD; Catalogue no. Z-Path-COVID-19-CE). Tests were performed on nasopharyngeal swabs. We used chest computed tomography (CT) scan results in the early detection of COVID-19 pneumonia [11] when findings were classified by radiologists as being compatible with COVID-19. In fact, the presence of peripheral ground glass opacities associated with multilobe and posterior involvement, bilateral distribution, and subsegmental vessel enlargement (>3 mm), is compatible with the diagnosis of COVID-19 pneumonia in this specific pandemic situation. Chest CT scans were scored as having 0%, 25%, 50%, 75%, or 100% involvement [11].

Data Collection and Analysis

Data collected for hospitalized COVID-19 patients included epidemiological, clinical, laboratory, radiological, and treatment data on the day of admission and during ICU stay. Epidemiological and clinical data as well as the presence of pre‐existing medical conditions, initial symptoms and signs, and laboratory and radiographic findings on COVID-19 department admission and on COVID-19 ICU admission, time course of the acute illness, delay between initial symptoms and COVID-19 ICU department admission, treatment modalities, complications during hospitalization, and discharge status were also recorded. In our ICU, serum cholinesterase (SChE) activity and levels of other inflammatory biomarkers (C-reactive protein [CRP], procalcitonin [PCT], and leukocytes) were assessed on ICU admission, 72 hours after ICU admission, and as requested (if the patient developed fever and/or when a nosocomial infection was suspected). For each patient, we defined elevated levels of CRP, leukocytes and PCT as the highest value obtained during the ICU stay. Poor SChE activity was defined as the lowest recorded value during the ICU stay. SChE activity was measured in serum using a biochemistry analyzer (Cobas 6000 analyzer: module c501) with a spectrophotometric method. Normal values of SChE range from 5,320 to 12,290 UI/L. PCT was measured with an electrochemiluminescence method using a Cobas 6000 analyzer (e 601), and CRP was measured using an immunoturbidimetric method. All biomarker assays were run in the same laboratory.

In our ICU, the severity of illness was evaluated by the Simplified Acute Physiology Score (SAPS) II [12] and Sequential Organ Failure Assessment (SOFA) score [13]. Overweight and obesity were defined as a body mass index (BMI) ≥25 kg/m² and BMI ≥30 kg/m², respectively [14]. Acute respiratory distress syndrome (ARDS) was defined according to the recently published formal guidelines [15]. According to arterial oxygen tension (PaO₂)/fractional inspired oxygen (FiO₂) ratio, ARDS was classified as mild (200< PaO₂/FiO₂ ≤300 mm Hg), moderate (100< PaO₂/FiO₂ ≤200 mm Hg), or severe (PaO₂/FiO₂ ≤100 mmHg) [15]. FiO₂ for patients able to spontaneously ventilate was calculated using the following formula: FiO₂=(oxygen flow O₂×4)+21%. For all patients, we assessed outcome variables including duration of mechanical ventilation, ICU and hospital length of stay, and ICU mortality.

Management of COVID-19 Patients with Respiratory Distress in Our COVID-19 ICU

In our practice, we used corticosteroids (dexamethasone, 12–24 mg/day) to treat patients with COVID-19 because of the variety of cytokines affected by this steroid (including interleukin [IL]-1, IL-6 and tumor necrosis factor α) [16]. Moreover, acute respiratory distress was treated via high-flow nasal oxygen or facial mask. However, non-invasive and/or invasive mechanical ventilation (IMV) as a supportive treatment was reserved for serious cases with severe hypoxemia. Prone position was also used to treat non-intubated COVID-19 patients and those in hypoxemic acute respiratory failure. For patients who needed IMV, we used a low tidal volume (<6 ml/kg ideal body weight), and airway pressure (plateau pressure <30 cmH₂O) as recommended [17]. For patients with moderate/severe ARDS (PaO₂/FiO₂ ratio<150) requiring IMV, prone positioning was recommended for at least 18 hours per day. Vitamin C (3 g/day), azithromycin, zinc, diuretics (in the absence of shock and/or hypovolemia), and enoxaparin were used in all patients in the absence of contraindications.

Statistical Modeling

All statistical analyses were performed using the IBM SPSS ver. 22 (IBM Corp., Armonk, NY, USA). A P-value less than 0.05 was considered statistically significant. Continuous variables are reported as means (±standard deviation). Categorical variables are reported as proportions and percentages. For univariate analysis of categorical variables, we used the Pearson chi-square or Fisher exact test, as appropriate. The normality of the distribution of continuous variables was examined using the Shapiro-Wilk test. Student t-test was used to assess the significance of differences in normally distributed variables between groups, while the Mann-Whitney U-test was used for non-normally distributed variables. Next, a multivariate logistic regression analysis was performed by using a backward stepwise approach to identify factors predictive of death. Odds ratios and 95% confidence intervals were estimated from the β coefficients obtained. Some variables such as age and severity scores, SAPS II score, SChE activity, and other parameters were used to predict a poor outcome and were analyzed using receiver operating characteristic (ROC) curves. The area under the ROC curve, which was estimated by the method of Hanley and McNeill [18], provides a measure of the predictive accuracy of a test.

RESULTS

Descriptive Characteristics of All Included Patients at Admission

From September 1, 2020, to December 4, 2020, a total of 96 patients were admitted into our ICU for respiratory distress due to a COVID-19 infection. In this study, 77% of patients were male. Mean age was 62.4±12.8 years with a median of 64 years (Table 1), and 41 patients (43%) had a BMI above 30 kg/m². Mean SAPS II on ICU admission was 33±16 (median, 29) and the mean SOFA score on ICU admission was 6±3 (median, 4). Moreover, 78 patients (81%) had one or more comorbidities. The most common pre-existing medical conditions were arterial hypertension in 48 patients (50%) and diabetes mellitus in 44 (46%). The most common symptoms at admission to the hospital were dyspnea in 88 patients (92%), fever (≥38°C) in 63 (66%), and cough in 59 (62%). Extra-pulmonary symptoms, such as headache, were observed in 23 patients (24%), and anosmia/ageusia was observed in 15 patients (15.6%). Mean time elapsed from onset of symptoms to admission was 6.5±4.2 days, and mean time elapsed from symptom onset to ICU admission was 10.7±5.6 days. The most frequent causes of ICU admission were acute respiratory failure (n=89 patients, 92.7%) and coma (5, 5.4%) (Table 1 and 2). On ICU admission, clinical examination showed that all patients exhibited major signs of respiratory distress. Mean respiratory rate was 29±12 breaths per minute, mean oxygen saturation measured by pulse oximetry (SpO₂) was 87%±13% under oxygen support via facial mask and 63%±20% in room air. Mean body temperature was at 37°C±0.8°C, and only 12 patients had a body temperature above 38°C. Moreover, 38 patients (41%) showed signs of increased respiratory effort (such as retractions, accessory muscle use, sweating, etc.), and 14 patients (14.6%) developed circulatory failure requiring the infusion of a vasopressor (noradrenaline) to maintain a mean arterial pressure of 65 mm Hg or greater. The mean Glasgow coma scale (GCS) score on ICU admission was at 13±3. Ten patients (10.4%) were deeply comatose with a GCS of less than 8. Table 1 summarizes the characteristics of the entire population group on hospital and ICU admission.

Biological and Radiological Findings

Mean pH on ICU admission was 7.40±0.08 with a range of 7.13–7.58. Mean PaO₂/FiO₂ ratio was 105±60, and was ≤ 300 in all cases but one (Table 3). For patients who needed IMV, mean PaO₂/FiO₂ ratio was 69±22, <150 in all patients, and ≤100 (severe ARDS) in 90% of patients. Metabolic acidosis (pH <7.38 and bicarbonate [HCO₃^–] <22 mmol/L) was observed in 12 patients (14%). Mean blood sugar level on admission was 12.9±6.3 mmol/L (ranging from 3.3 to 32 mmol/L); a high blood sugar level (8 mmol/L) was observed in 78% of cases. Mean plasma protein concentration was 69±8.1 g/L. Mean blood urea was 12.2±9.3 mmol/L, and was >10 mmol/L in 48% of cases. Mean blood creatinine was 107±98 µmol/L, and > 100 µmol/L in 25% of cases. Among the inflammatory parameters recorded at admission for patients with available data, mean leukocyte number was 13,220±6,014 cells/mm³, and >11,000/mm³ in 63% of cases. Mean lymphocyte number was 713±432 cells/mm³, and lymphopenia (≤1,000 cells/mm³) was observed in 79.5% of cases. Mean CRP concentration was 134±152 mg/L, and ≥100 mg/L in 46% of cases. Mean PCT was 1.7±6.1 ng/mL, ranging from 0.1 to 46 ng/mL. SChE activity was measured for 78 patients on ICU admission (median number of measurements during ICU stay was 2), and mean SChE activity was 5,857±1,773 UI/L (range, 1,926–10,190 UI/L). Finally, the mean D-dimer value was 1,359±1,430μg/L. Table 3 summarizes all the biological findings of the entire patient population on ICU admission. At hospital and/or ICU admission, CT was performed in 75 patients (78%), and findings were compatible with COVID-19 in 75 of 75 of cases (100%). Chest CT scans showed parenchymal opacification with 25% to less than 50% involvement in 14 patients (18.6%), 50% to less than 75% involvement in 31 patients (41%), and 75% or greater involvement in 30 patients (40%). Four patients (4.2%) were diagnosed with pulmonary embolism.

Treatment and Clinical Outcomes

During ICU stay, 78 patients (81.0%) received antibiotics, even though only four patients (4.1%) had a confirmed bacterial coinfection. Antibiotics received were azithromycin (n=78, 81%), beta-lactams (n=39, 40%), and levofloxacin (n=25, 26%), and 28 patients (29%) received other antibiotics for nosocomial infections. In addition, corticosteroids were administered to 94 patients (98%). Prophylactic dose anticoagulation for venous thromboembolism was used in 10 patients (10.4%), and therapeutic-dose anticoagulation was used in 86 patients (90%). Vitamin C (3 g/day) was prescribed for all patients, neuromuscular blockers for 38 patients (39.5%), and diuretics for 71 patients (74%). Oxygen support was required for all patients (100%) and was administered via facial mask for 75 (78%), high-flow nasal oxygen for 29 (30.2%), NIV for 48 (50%), and IMV for 38 patients (40%). Among patients requiring IMV, 10 patients were previously treated by high-flow nasal oxygen and 26 previously managed with NIV.

The prone position was applied in 67 patients (70%); it was utilized to treat 29 COVID-19 patients who were not intubated (50%) and 38 patients who were intubated (100%). Extracorporeal membrane oxygenation was used in one patient (1.6%), and 36 (37.5%) patients required vasopressors. Within the study period, 47 of the 96 included patients died (49%). The mean ICU stay was 6.7±5.3 days (median, 5 days). Factors associated with death in univariate analyses were antecedent arterial hypertension, severe respiratory distress, and the presence of neurological impairment. Table 4 shows all the factors associated with death in univariate analysis. In our study, SChE activity greater than 5,000 UI/L during ICU stay was associated with a good outcome with 76% sensitivity and 79% specificity and an area under the curve (AUC) of 0.77 (Figure 1). Figure 2 shows the lowest SChE activity value (poor value) recorded in all patients during ICU stay according to outcomes. A CRP value greater than 180 mg/L was associated with a poor outcome with a sensitivity of 60% and specificity of 79% with an AUC of 0.73 (Figure 3).

Finally, multivariate analysis showed that factors associated with poor outcome were the development of acute renal failure (ARF; OR, 6.7), the use of mechanical ventilation (OR, 5.8), and SChE activity lower than 5,000 UI/L (OR, 5.0) (Table 5).

DISCUSSION

Principal Findings

Our study confirms that severe cases of COVID-19 are characterized by acute respiratory distress, and the most common cause of death is refractory hypoxemia. Within the study period, 47 of our 96 patients died (49%). Despite the non-use of specific treatments (antiviral agents) [19] in our ICU, the mortality rate of 49% was similar to those reported in other studies [15-18,20,21], particularly in developed countries [22-24].

Management of Severe COVID-19 Infection

In our ICU, we use corticosteroids (dexamethasone, 12–24 mg/day), which are known for their ability to regulate a number of cytokines, to treat SARS-CoV-2-infected patients [16]. Acute respiratory distress was treated via high-flow nasal oxygen or facial mask. Nonetheless, severe cases in urgent need of supportive care, namely those suffering from acute hypoxemia, had to be placed under invasive and/or NIV. As recommended [19,25], zinc, vitamin D and vitamin C, diuretics (in the absence of hypovolemia and/or shock), and enoxaparin were administered to all patients if there were no contraindications. In fact, there is some evidence that deficiency of one or more of these three elements (zinc, vitamin D, vitamin C) compromises the immune response, making an individual more vulnerable to viral infections and to a worse disease prognosis [25]. We did not use hydroxychloroquine to treat patients admitted to our ICU following severe respiratory distress due to COVID-19 based on the results of many studies [20,21,26] and the World Health Organization. However, we used the prone position to treat COVID-19 patients who were not intubated and those with severe respiratory failure and hypoxemia. In fact, it has been established that the timely use of the prone position in patients with a COVID-19 infection suffering from severe hypoxemia can improve oxygenation and prevent the need for IMV, ultimately decreasing the number of COVID-19 patients who die due to complications of severe hypoxemia [27].

Clinical Outcomes

The high mortality rate (49%) observed in our study, although somewhat similar to those reported in other studies [15-18], particularly in developed countries [22-24], can be explained by several factors. First, 78 patients (81%) had one or more comorbidities with a median age of 64 years. Moreover, on ICU admission, clinical examination showed that all patients exhibited major signs of respiratory distress and chest CT scans showed parenchymal opacification with more than 50% involvement in more than 81% of cases. Moreover, 36 patients (37.5%) required vasopressors during their ICU stay. In the current study, we found that the development of ARF was associated with a poor outcome.

Our study confirms the results of several previous studies [28,29] that reported that the development of ARF was strongly associated with severe clinical outcomes and mortality. In fact, patients with COVID-19 with ARF had a 3-fold higher odds of death than COVID-19 patients without ARF, and a 4-fold higher odds of death than ARF due to other causes [30]. Moreover, we found in the current study that SChE activity lower than 5,000 UI/L was associated with a poor outcome in multivariate analysis. Our results confirm the results of a recent study performed by Nakajima et al. [31] who found that cholinesterase level on admission was an independent predictor of the severity of COVID-19 pneumonia and mortality. In fact, cholinesterase activity is thought to be affected by acute-phase infections and inflammatory processes [32]. Cholinesterase inhibition can be caused by inflammatory mediators (cytokines) released in severe cases of COVID-19 pneumonia. In the current study, only 28 patients (29%) developed nosocomial infections. Despite the lower rate of nosocomial infections reported (40.7%) in an earlier study [33], it is within the range reported in other studies (15%–40%) [34,35].

Study Limitations

Our study had several limitations. First, its retrospective nature is a methodological limitation, as all retrospective studies suffer from incomplete information. In our study, CRP and PCT levels and SChE activity were not assessed in all patients admitted to the ICU. Moreover, SChE activity was not measured at the same time point in all patients. In addition, because of a lack of equipment, extracorporeal membrane oxygenation was used in only one patient among 38 mechanically ventilated patients. Finally, we did not follow-up patients after ICU discharge. However, this study is one of the first to study the clinical manifestations, management, and outcomes of patients with severe COVID-19 infection requiring ICU admission in Africa.

In this retrospective cohort study of critically ill patients admitted to the ICU in Sfax, Tunisia, for acute respiratory failure following COVID-19 infection, the mortality rate was high. The development of ARF, the use of mechanical ventilation, and SChE activity lower than 5,000 UI/L were associated with poor outcomes. Further studies are needed on this subject.

KEY MESSAGES

▪ In this retrospective cohort study of critically ill patients admitted to an intensive care unit in Sfax, Tunisia, for acute respiratory failure following coronavirus disease 2019 (COVID-19) infection, the mortality rate was high (49%).

▪ The development of acute renal failure, the use of mechanical ventilation, and serum cholinesterase activity lower than 5,000 UI/L were associated with poor outcomes.

NOTES

CONFLICT OF INTEREST No potential conflict of interest relevant to this article was reported.

AUTHOR CONTRIBUTIONS

Conceptualization: MB (Mabrouk Bahloul). Data curation: OT, MB, SK, KC, RA, NK, MH, HC, HK, MB. Formal analysis: MB, OCW, CBH, KBM, AK, NR, MB. Methodology: MB (Mabrouk Bahloul). Writing–original draft: OT, MB, MH, NB, RA, NK, MH, OCW, CBH, HC, KBM, AK, HK, NR, MB. Writing–review & editing: MB, SK, KC, MH, OCW, MB.

Figure 1.

Receiver operating characteristic curve of serum cholinesterase (SChE) activity to predict mortality. The area under the curve was 0.77, indicating good ability of SChE to discriminate between survivors and non-survivors.

Figure 2.

The lowest serum cholinesterase (SChE) activity value recorded according to outcomes. Black line, median; box, 25%–75%; error bar, range.

Figure 3.

Receiver operating characteristic curve of C-reactive protein level to predict mortality. The area under the curve was 0.73.

Table 1.

Clinical presentation of the study subjects on hospital admission and on the day of ICU admission

Variable	Value
Demographic characteristics
Age (yr)	62.4±12.8
Obesity (BMI >30 kg/m²)	41 (43)
Diabetes mellitus	44 (46)
Arterial hypertension	48 (50)
Chronic heart disease	8 (8)
Chronic obstructive pulmonary disease	5 (5)
Symptom on hospital admission
Dyspnea	88 (92)
Cough	59 (62)
Fever	63 (66)
Headache	23 (24)
Anosmia/ageusia	15 (16)
Vomiting	13 (14)
Abdominal pain	15 (16)
Diarrhea	8 (8)

Values are presented as mean±standard deviation or number (%). The number of patients was 96.

ICU: intensive care unit; BMI: body mass index.

Table 2.

The clinical presentation the day of ICU admission

Variable	Value
SAPS II score	33±16
SOFA score	6±3
Cause of ICU admission
Respiratory distress	89 (93)
Coma	5 (5)
Shock	1 (1)
Clinical finding on ICU admission
Respiratory rate/min	29±12
SpO₂ under O₂ (%)	87±13
Signs of respiratory exertion^a	38 (41)
Shock	14 (15)
Body temperature (°C)	37±08
Treatment
Sedation	48 (50)
Vasopressor support	36 (38)
High-flow nasal oxygen	29 (31)
NIV	48 (50)
IMV	38 (40)
Prone positioning	67 (70)
Corticosteroids	94 (98)
Diuretics	71 (74)

Values are presented as mean±standard deviation or number (%). The number of patients was 96.

ICU: intensive care unit; SAPS: Simplified Acute Physiology Score; SOFA: Sequential Organ Failure Assessment; SpO₂: oxygen saturation measured; NIV: noninvasive ventilation; IMV: invasive mechanical ventilation.

^aThis variable was included by 93 subjects.

Table 3.

Laboratory findings of the entire study group on ICU admission

Parameter	Data available for	Mean±SD	Median (range)
WBC count (cells/mm³)	88	13,220.8±6,014.1	12,000 (1,120–31,000)
Lymphocyte (cells/mm³)	70	713.6±432.5	600 (100–1,800)
Hemoglobin (g/dl)	88	12.5±2.1	13 (5.5–17.7)
Platelet count (cells/mm³)	88	303,298±121,920	288,000 (82,000–656,000)
Blood glucose level (mmol/L)	93	12.9±6.3	11 (3.3–32.1)
AST (UI/L)	86	41.7±32.7	32 (9.9–204)
ALT (UI/L)	86	34.1±23.8	24 (7–120.5)
Total bilirubin (μmol/L)	78	9.4±4.9	8 (4–29)
Total protein (g/L)	66	69.3±8.13	70 (43–85)
Prothrombin ratio (%)	68	76±16.7	78 (29–100)
Troponin (ng/ml)	79	0.59±0.11	0.018 (0.001–0.64)
Pro-BNP (pg/ml)	60	2,289.9±5,502.3	403.5 (13–27,067)
pH	86	7.40±0.08	7.42 (7.13–7.58)
PaCO₂ (mm Hg)	86	36.4±9.4	36 (15.9–62)
PaO₂ (mm Hg)	86	74.4±28.4	68 (37–160)
HCO₃^– (mmol/L)	86	23.1±4.7	23 (8.2–38)
PaO₂/FiO₂ ratio	86	105.7±60.8	86 (37–338)
Urea (mmol/L)	91	12.3±9.3	9.7 (1–59.6)
Creatinine (μmol/L)	92	107±98.5	79.5 (37–759)
Iron (μmol/L)	60	10±6.6	7.7 (3.4–32)
Ferritin (μg/L)	56	1,063.1±638.9	922 (159–2,000)
Procalcitonin (µg/L)	65	1.53±5.89	0.25 (0.01–46.0)
C-reactive protein (mg/L)	64	134±152	92.5 (7–413)
SChE activity (UI/L)	78	5,857±1,773	5,794 (1,926–10,190)

ICU: intensive care unit; SD: standard deviation; WBC: white blood cells; AST: aspartate aminotransferase; ALT: alanine aminotransferase; Pro-BNP: pro-brain natriuretic peptide; PaCO₂: arterial carbon dioxide tension; PaO₂: arterial oxygen tension; HCO₃^–: bicarbonate; FiO₂: fractional inspired oxygen; SChE: serum cholinesterase.

Table 4.

Factors associated with death in univariate analysis

Risk factor	Non-survivor (n=47)	Survivor (n=49)	P-value
Age (yr)	65.5±12.3	59.3±12.6	0.016
Arterial hypertension (comorbidity)	29 (62)	19 (38.8)	0.025
Decompensated diabetes	23 (24)	12 (12.5)	0.008
Shock on ICU admission	12 (12.5)	2 (2.1)	0.003
Invasive mechanical ventilation	35 (36.5)	3 (3.1)	<0.001
Noninvasive ventilation	36 (37.5)	12 (12.5)	<0.001
Bacterial nosocomial infection	26 (27.1)	2 (2.1)	<0.001
Kidney failure	37 (38.5)	14 (14.6)	<0.001
Hypernatremia	10 (10.4)	1 (1)	0.002
Hyperkalemia	14 (14.6)	2 (2.1)	<0.001
SpO₂under air room (without O₂)	55±19	70±18	0.001
Respiratory rate (breaths/min)	33±15	27±9	0.026
Heart rate (beats/min)	97±22	85±19	0.008
Glasgow coma scale	12.5±4.2	14.5±1.8	0.003
SOFA score	6±3.5	3.8±1.9	<0.001
SAPS II score	39.4±18.3	27.9±11	<0.001
White blood cell (cells/mm³)	14,627±6,393	11,814±5,315	0.027
Urea (mmol/L)	15±12.2	9.8±4.5	0.011
Creatinine (µmol/L)	129.5±134.1	86.5±32.5	0.046
SChE activity (UI/L) on ICU admission	5,471±1,723	6,242±1,763	0.082
CRP (mg/L) on ICU admission	166±196	104±86	0.074
Lowest SChE activity (UI/L)	4,574±1,821	6,059±1,628	<0.001
Highest CRP value (mg/L)	224±129.5	127.5±92.5	<0.001
pH	7.31±0.09	7.43±0.04	<0.001
PaO₂/FiO₂ ratio on ICU admission	92.2±44.8	117.1±70.2	0.020
Lowest PaO₂/FiO₂ ratio	68.8±25.9	97.2±59.9	0.008
Lowest HCO₃^– (mmol/L)	19.3±5.8	21.5±4.0	0.049

Values are presented as mean±standard deviation or number (%).

ICU: intensive care unit; SpO₂: oxygen saturation measured by pulse oximetry: SOFA: Sequential Organ Failure Assessment; SAPS: simplified acute physiology score; SChE: serum cholinesterase; CRP: C-reactive protein; PaO₂: arterial oxygen tension; FiO₂: fractional inspired oxygen; HCO₃^–: bicarbonate.

Table 5.

Independent variables associated with a poor outcome

Variable	P-value	Odds ratio (95% CI)
Development of acute renal failure	0.006	6.7 (1.75–25.9)
Use of mechanical ventilation	0.009	5.8 (1.54–22)
SChE activity lower than 5,000 UI/L	0.016	5.0 (1.34–19)

CI: confidence interval; SChE: serum cholinesterase.

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Clinical characteristics and outcomes of critically ill COVID-19 patients in Sfax, Tunisia

Acute Crit Care. 2022;37(1):84-93. Published online November 16, 2021

DOI: https://doi.org/10.4266/acc.2021.00129

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Clinical characteristics and outcomes of critically ill COVID-19 patients in Sfax, Tunisia

Figure 1. Receiver operating characteristic curve of serum cholinesterase (SChE) activity to predict mortality. The area under the curve was 0.77, indicating good ability of SChE to discriminate between survivors and non-survivors.

Figure 2. The lowest serum cholinesterase (SChE) activity value recorded according to outcomes. Black line, median; box, 25%–75%; error bar, range.

Figure 3. Receiver operating characteristic curve of C-reactive protein level to predict mortality. The area under the curve was 0.73.

Figure 1.

Figure 2.

Figure 3.

Clinical characteristics and outcomes of critically ill COVID-19 patients in Sfax, Tunisia

Variable	Value
Demographic characteristics
Age (yr)	62.4±12.8
Obesity (BMI >30 kg/m²)	41 (43)
Diabetes mellitus	44 (46)
Arterial hypertension	48 (50)
Chronic heart disease	8 (8)
Chronic obstructive pulmonary disease	5 (5)
Symptom on hospital admission
Dyspnea	88 (92)
Cough	59 (62)
Fever	63 (66)
Headache	23 (24)
Anosmia/ageusia	15 (16)
Vomiting	13 (14)
Abdominal pain	15 (16)
Diarrhea	8 (8)

Variable	Value
SAPS II score	33±16
SOFA score	6±3
Cause of ICU admission
Respiratory distress	89 (93)
Coma	5 (5)
Shock	1 (1)
Clinical finding on ICU admission
Respiratory rate/min	29±12
SpO₂ under O₂ (%)	87±13
Signs of respiratory exertion^a	38 (41)
Shock	14 (15)
Body temperature (°C)	37±08
Treatment
Sedation	48 (50)
Vasopressor support	36 (38)
High-flow nasal oxygen	29 (31)
NIV	48 (50)
IMV	38 (40)
Prone positioning	67 (70)
Corticosteroids	94 (98)
Diuretics	71 (74)

Parameter	Data available for	Mean±SD	Median (range)
WBC count (cells/mm³)	88	13,220.8±6,014.1	12,000 (1,120–31,000)
Lymphocyte (cells/mm³)	70	713.6±432.5	600 (100–1,800)
Hemoglobin (g/dl)	88	12.5±2.1	13 (5.5–17.7)
Platelet count (cells/mm³)	88	303,298±121,920	288,000 (82,000–656,000)
Blood glucose level (mmol/L)	93	12.9±6.3	11 (3.3–32.1)
AST (UI/L)	86	41.7±32.7	32 (9.9–204)
ALT (UI/L)	86	34.1±23.8	24 (7–120.5)
Total bilirubin (μmol/L)	78	9.4±4.9	8 (4–29)
Total protein (g/L)	66	69.3±8.13	70 (43–85)
Prothrombin ratio (%)	68	76±16.7	78 (29–100)
Troponin (ng/ml)	79	0.59±0.11	0.018 (0.001–0.64)
Pro-BNP (pg/ml)	60	2,289.9±5,502.3	403.5 (13–27,067)
pH	86	7.40±0.08	7.42 (7.13–7.58)
PaCO₂ (mm Hg)	86	36.4±9.4	36 (15.9–62)
PaO₂ (mm Hg)	86	74.4±28.4	68 (37–160)
HCO₃^– (mmol/L)	86	23.1±4.7	23 (8.2–38)
PaO₂/FiO₂ ratio	86	105.7±60.8	86 (37–338)
Urea (mmol/L)	91	12.3±9.3	9.7 (1–59.6)
Creatinine (μmol/L)	92	107±98.5	79.5 (37–759)
Iron (μmol/L)	60	10±6.6	7.7 (3.4–32)
Ferritin (μg/L)	56	1,063.1±638.9	922 (159–2,000)
Procalcitonin (µg/L)	65	1.53±5.89	0.25 (0.01–46.0)
C-reactive protein (mg/L)	64	134±152	92.5 (7–413)
SChE activity (UI/L)	78	5,857±1,773	5,794 (1,926–10,190)

Risk factor	Non-survivor (n=47)	Survivor (n=49)	P-value
Age (yr)	65.5±12.3	59.3±12.6	0.016
Arterial hypertension (comorbidity)	29 (62)	19 (38.8)	0.025
Decompensated diabetes	23 (24)	12 (12.5)	0.008
Shock on ICU admission	12 (12.5)	2 (2.1)	0.003
Invasive mechanical ventilation	35 (36.5)	3 (3.1)	<0.001
Noninvasive ventilation	36 (37.5)	12 (12.5)	<0.001
Bacterial nosocomial infection	26 (27.1)	2 (2.1)	<0.001
Kidney failure	37 (38.5)	14 (14.6)	<0.001
Hypernatremia	10 (10.4)	1 (1)	0.002
Hyperkalemia	14 (14.6)	2 (2.1)	<0.001
SpO₂under air room (without O₂)	55±19	70±18	0.001
Respiratory rate (breaths/min)	33±15	27±9	0.026
Heart rate (beats/min)	97±22	85±19	0.008
Glasgow coma scale	12.5±4.2	14.5±1.8	0.003
SOFA score	6±3.5	3.8±1.9	<0.001
SAPS II score	39.4±18.3	27.9±11	<0.001
White blood cell (cells/mm³)	14,627±6,393	11,814±5,315	0.027
Urea (mmol/L)	15±12.2	9.8±4.5	0.011
Creatinine (µmol/L)	129.5±134.1	86.5±32.5	0.046
SChE activity (UI/L) on ICU admission	5,471±1,723	6,242±1,763	0.082
CRP (mg/L) on ICU admission	166±196	104±86	0.074
Lowest SChE activity (UI/L)	4,574±1,821	6,059±1,628	<0.001
Highest CRP value (mg/L)	224±129.5	127.5±92.5	<0.001
pH	7.31±0.09	7.43±0.04	<0.001
PaO₂/FiO₂ ratio on ICU admission	92.2±44.8	117.1±70.2	0.020
Lowest PaO₂/FiO₂ ratio	68.8±25.9	97.2±59.9	0.008
Lowest HCO₃^– (mmol/L)	19.3±5.8	21.5±4.0	0.049

Variable	P-value	Odds ratio (95% CI)
Development of acute renal failure	0.006	6.7 (1.75–25.9)
Use of mechanical ventilation	0.009	5.8 (1.54–22)
SChE activity lower than 5,000 UI/L	0.016	5.0 (1.34–19)

Table 1. Clinical presentation of the study subjects on hospital admission and on the day of ICU admission

Values are presented as mean±standard deviation or number (%). The number of patients was 96.

ICU: intensive care unit; BMI: body mass index.

Table 2. The clinical presentation the day of ICU admission

Values are presented as mean±standard deviation or number (%). The number of patients was 96.

This variable was included by 93 subjects.

Table 3. Laboratory findings of the entire study group on ICU admission

Table 4. Factors associated with death in univariate analysis

Values are presented as mean±standard deviation or number (%).

Table 5. Independent variables associated with a poor outcome

CI: confidence interval; SChE: serum cholinesterase.