Characteristics, outcome of patients on invasive mechanical ventilation: A single center experience from central India

Mortality and its associated factors among mechanically ventilated adult patients in the intensive care units of referral hospitals in Northwest Amhara, Ethiopia, 2023

Background

Worldwide, nearly half of the patients admitted to intensive care units require ventilatory support. Despite advances in intensive care unit patient management and mechanical ventilator utilization, the odds of mortality among mechanically ventilated patients are higher in resource-limited settings. Little is known about the mortality of patients on mechanical ventilation outside the capital of Ethiopia. This study aimed to assess mortality and its associated factors among mechanically ventilated adult patients in intensive care units.

Method

An institutional-based cross-sectional study was conducted on mechanically ventilated patients in intensive care units from 1 February 2020 to 1 March 2023. A simple random sampling technique was used to select 434 patients' charts. A data extraction tool designed on the Kobo toolbox, a smartphone data collection platform, was used to collect the data. The data were exported into Microsoft Excel 2019 and then into Stata 17 for data management and analysis. Descriptive statistics were used to summarize the characteristics of the study participants. A bivariable logistic regression was conducted, and variables with p ≤ 0.20 were recruited for multivariable analysis. Statistical significance was declared at p < 0.05, and the strength of associations was summarized using an adjusted odds ratio with 95% confidence intervals.

Result

A total of 404 charts of mechanically ventilated patients were included, with a completeness rate of 93.1%. The overall proportion of mortality was 62.87%, with a 95% CI of (58.16-67.58). In the multivariable logistic regression, age 41-70 years (AOR: 4.28, 95% CI: 1.89-9.62), sepsis (AOR: 2.43, 95% CI: 1.08-5.46), reintubation (AOR: 2.76, 95% CI: 1.06-7.21), and sedation use (AOR: 0.41, 95% CI: 0.18-0.98) were found to be significant factors associated with the mortality of mechanically ventilated patients in the intensive care unit.

Conclusion

The magnitude of mortality among mechanically ventilated patients was high. Factors associated with increased odds of death were advanced age, sepsis, and reintubation. However, sedation use was a factor associated with decreased mortality. Healthcare professionals in intensive care units should pay special attention to patients with sepsis, those requiring reintubation, those undergoing sedation, and those who are of advanced age.

Pattern of disease and determinants of mortality among ICU patients on mechanical ventilator in Sub-Saharan Africa: a multilevel analysis

BACKGROUND

The global mortality rate of patients with MV is very high, despite a significant variation worldwide. Previous studies conducted in Sub-Saharan Africa among ICU patients focused on the pattern of admission and the incidence of mortality. However, the body of evidence on the clinical outcomes among patients with MV is still uncertain.

OBJECTIVE

The objective of this study was to investigate the pattern of disease and determinants of mortality among patients receiving mechanical ventilation in Southern Ethiopia.

METHODS

Six hundred and thirty patients on mechanical ventilation were followed for 28 days, and multilevel analysis was used to account for the clustering effect of ICU care in the region.

RESULTS

The incidence of 28-day mortality among patients with MV was 49% (95% CI: 36-58). The multilevel multivariate analysis revealed that being diabetic, having GSC < 8, and night time admission (AOR = 7.4; 95% CI: 2.96-18.38), (AOR = 5.9; (5% CI: 3.23, 10.69), and (AOR = 2.5; 95% CI: 1.24, 5.05) were predictors.

CONCLUSION

The higher 28-day mortality among ICU patients on mechanical ventilation in our study might be attributed to factors such as delayed patient presentation, lack of resources, insufficient healthcare infrastructure, lack of trained staff, and financial constraints.

TRIAL REGISTRATION

The protocol was registered retrospectively on ( NCT05303831 ).

Predictors of ICU Mortality among Mechanically Ventilated Patients: An Inception Cohort Study from a Tertiary Care Center in Addis Ababa, Ethiopia

BACKGROUND

Mechanical ventilation is a life-saving intervention for patients with critical illnesses, yet it is associated with higher mortality in resource-constrained settings. This study intended to determine factors associated with the mortality of mechanically ventilated adult intensive care unit (ICU) patients.

METHODS

A one-year retrospective inception cohort study was conducted using manual chart review in ICU patients (age >13) admitted to Tikur Anbessa Specialized Hospital (Addis Ababa, Ethiopia) from September 2019 to September 2020; mechanically ventilated patients were followed to hospital discharge. Demographic, clinical, and outcome data were collected; logistic regression was used to determine mortality predictors in the ICU.

RESULT

A total of 160 patients were included; 85/160 (53.1%) were females and the mean (SD) age was 38.9 (16.2) years. The commonest indication for ICU admission was a respiratory problem (n = 97/160, 60.7%). ICU and hospital mortality were 60.7% (n = 97/160) and 63.1% (n = 101/160), respectively. Coma (Glasgow Coma Score <8 or 7 with an endotracheal tube (7T)) (adjusted odds ratio [AOR] 6.3, 95% confidence interval 1.19-33.00), cardiovascular diagnosis (AOR 5.05 [1.80-14.15]), and a very low serum albumin level (<2 g/dl) (AOR 4.9 [1.73-13.93]) were independent predictors of mortality (P < 0.05). The most commonly observed complication was ICU acquired infection (n = 48, 30%).

CONCLUSIONS

ICU mortality in ventilated patients is high. Coma, a very low serum albumin level (<2 g/dl), and cardiovascular diagnosis were independent predictors of mortality. A multifaceted approach focused on developing and implementing context appropriate guidelines and improving skilled healthcare worker availability may prove effective in reducing mortality.

Characteristics and Outcomes of Mechanically Ventilated Patients at Adult ICU of Selected Public Hospitals in Addis Ababa, Ethiopia

Introduction

Mechanical ventilation is the primary method of supporting organ function for patients admitted to intensive care units (ICU). The information on the characteristics and outcomes of patients requiring mechanical ventilation is essential to understanding the causes of mortality among mechanically ventilated patients. However, the available literature in developing countries, including Ethiopia, is limited.

Objective

The objective of this study was to assess the characteristics and outcomes of mechanically ventilated patients in adult intensive care units in selected public hospitals, in Addis Ababa, Ethiopia, from 2019 to 2020.

Methods

An institutional-based cross-sectional study design was employed. All adult patients who were mechanically ventilated and admitted to ICU for at least 24 hours between July 2019 and July 2020 were included in the study. The collected data were evaluated with SPSS version 26 software. Multiple logistic regression models were used to indicate the association between dependent and independent variables. The variables, which have an independent association with poor outcomes, were identified with a p-value less than 0.05.

Results

Of 180 mechanically ventilated patients, 98(54.4%) were male. The main reason for ventilation was respiratory failure. The mean duration of stay on the ventilator was 7.09± 6.06, and the mortality rate in mechanically ventilated patients was 41.7%. The mortality rate was higher in patients with cardiac diseases 43(57.70%). Inotropic use, not taking sedation, and length of stay on a mechanical ventilator were independently associated with mortality.

Conclusion

The mortality rate of mechanically ventilated patients in the selected public hospitals was high. The clinicians must strive to balance the necessity and benefit of sedation use with the potential to negatively affect the patient outcome. In addition, the risk:benefit assessment of ventilation must be done for all patients requiring ventilator support.

Mortality Predictors Among COVID-19 Elderly in Taif, Saudi Arabia

Background

By December 2021, the COVID-19 pandemic had caused more than 266 million cases and 5 million deaths, especially among geriatric patients.

Objective

To identify determinants of COVID-19-related death in geriatric patients.

Methods

This is a comparative retrospective study involving 145 COVID-19 hospitalized patients who are more than 60 years old, conducted at King Faisal Medical Complex in Taif, Saudi Arabia, from June 2020 to August 2020. The main outcome studied was COVID-19-related death.

Results

Out of 145 elderly COVID-19 patients, 11% have died. There was a significant difference between those who died and the surviving group regarding hospital stay duration, with a higher duration median among those who died (22 days vs 12 day respectively, p=0.002). Transfer to ICU, mechanical ventilation, low oxygen saturation, shortness of breath, respiratory support, x-ray trend, and prolonged QT interval showed significant statistical differences between them (p<0.001, <0.001, 0.017, 0.045, <0.001, <0.001, 0.004, respectively). After doing logistic regression of predictors for progression to death, putting patients on oxygen only vs mechanical ventilation was statistically significant, with an adjusted odds ratio (AOR) of 0.038 (p=0.012). Worse x-rays vs constant also were statistically significant and had AOR of 23.459 (p=0.001). There was a significant moderate positive correlation between duration of hospital stay and duration from admission to medication start (SP=0.336 and p<0.001).

Conclusion

We recommend accurately monitoring patients using x-rays to determine which patients have worse x-rays. However, the cost-benefit of using radiation must be well assessed and needs further research to determine if its benefit outweighs its risks, especially in high-risk patients. Furthermore, mechanically ventilated patients must be carefully monitored. Finally, the duration of hospital stay was highly correlated with the duration from admission to medication start. Therefore, proper treatment must be started as early as possible.

Predictors and outcome of invasive mechanical ventilation in hospitalized patients with sepsis: data from National Inpatient Sample

Background: Sepsis is a significant cause of mechanical ventilation in hospitalized patients. Objective: The aim of our study was to recognize the demographic and clinical characteristics associated with an increased need for invasive mechanical ventilation in hospitalized sepsis patients. Methods: We used National Inpatient Sample database from the years 2009-2011 to identify sepsis patients requiring invasive mechanical ventilation. We compared demographic and clinical characteristics of sepsis patients requiring and not requiring ventilator support and conducted univariate and multivariate analyses to determine odds ratio (OR) of association. Results: A total of 4,827,769 sepsis patients were identified among which 21.38% required invasive ventilation. Multivariate logistic regression [OR (95% CI), p<0.001] determined the following to be associated with increased odds of ventilator use: morbid obesity [1.37 (1.31-1.42)] and age group 35-64 years [1.18 (1.14-1.22)] compared to 18-34 years, whereas females [0.90 (0.88-0.91)] and age >85 years [0.49 (0.47-0.52)] had reduced odds of invasive ventilation. Hyperkalemia [1.12 (1.09-1.16)] and hypernatremia [2.26 (2.16-2.36)] were associated with increased odds while hypokalemia [0.94 (0.91-0.97)] had reduced odds of invasive ventilation. Septic patients requiring IMV had higher length of stay by 9.72 ± 0.17 days, hospitalization cost by US $ 43010.31 ± 988.24 and in-hospital mortality (41.33% vs 8.91%). Conclusion: Sepsis is a major cause of intensive care unit admission and initiation of invasive ventilation. Baseline demographic and clinical features affect the need for invasive ventilation. A clear understanding of these risk factors is integral for an appropriate and timely management.