Evaluation of increased antibody titer COVID-19 after astrazeneca vaccination based on the age at UTA'45 Jakarta Vaccine Center

Background: Vaccine is an essential tool to limit the health of the COVID-19 pandemic. AstraZeneca vaccine already provided promising effectiveness data. Still, the study must check the correlation between vaccination and antibody titer. Aim: This study aims to evaluate antibody titer after AstraZeneca vaccination based on the age group. Materials and Methods: This study used a prospective cross-sectional method with convenience sampling. Inclusion criteria were all Indonesian citizens above 18 years old who were vaccinated at UTA'45 Jakarta Vaccine Center with no history of COVID-19 before the vaccination and had filled up the informed consent. Results: This study's total sample was 102 females;51.90%, residents of Java Island;91.17% had comorbidities;50,98%, smokers;9,80%, alcohol drinker;9,80%, exercise;80,39%, blood pressure;128/73, SpO2: 97,82. Most participants aged around 30 years had a body mass index of 23.33. Age, comorbidity, smoking, alcohol, and exercise habit significantly correlate with the increase of the participants' antibodies (P < 0.001). The age shows that the younger the participant, the higher the titer antibody 2 will be (P = 0.001, 95% confidence interval [CI],-1.935,-0.694). The exercise shows that the participant with the routine practice will have a higher titer antibody 2 (P = 0.002, 95% CI, 12.016, 51.791). Antibody titer for participants younger than 35 years old increased 5.7 times while for participants between 35 and 45 years old was 3.9 times. Another group (>45-55 years old) has shown an improvement in antibody titer at 1.7 times, but the last group (>55 years old) described an increase in antibody titer at 232.3 times. Conclusions: Age, comorbidity, smoking, alcohol, and exercise contributed to the increase in titer antibody 2 value of the AstraZeneca vaccine participants. Participants in the age group <35 years have an excellent immune system.

IOT based Temperature and Oxygen level monitoring and Data visualization

The Covid-19 pandemic that hit us in 2020 changed our lifestyle in every way. There was tremendous damage to people's lives. It is now predicted that other variants of Coronavirus are affecting people's health throughout the world. We must remain vigilant against upcoming dangers. The Indian health ministry has also advised people to take the necessary precautions. In this paper, we will focus on automating temperature and oxygen monitoring using the Internet of Things. According to our proposed model, data generated by the temperature sensor (MLX90614) and oxygen saturation sensor (MAX30102) will be stored in a relational database. Using this data, future data analyses can be conducted. We are also going to visualize the data by building an interactive dashboard using Power BI. Overall, health monitoring will become much more convenient and speedier. © 2023 IEEE.

Predictors of Mortality among COVID-19 Patients - A Case Control Study at Tertiary Care Center, Nanded (Maharashtra).

Background: The novel Coronavirus is belonging to the family of SARS & MERS-CoV, the impact of the earlier is more dreadful as demonstrated by the steady increase in morbid cases. The average incubation period of COVID-19 is 1-14 days with a mean of 6 days. Aim - To evaluate predictors of mortality among COVID-19 patients. Objectives - 1. To assess risk predictors associated with mortality among COVID-19 patients 2. To a suggest prediction model for preventing mortality in future outbreaks. Materials and Methods: Study design - A case-control study. Study place -Tertiary care center, Nanded, Maharashtra. The present study included 400 cases that died off due to Covid-19 and 400 controls survived COVID-19 disease in a 1:1 proportion. Results: On admission, a significant difference was observed among cases and controls with reference to the percentage of SpO2 (p < 0.05). The proportion of associated co-morbidities among cases was very high i.e., 75.75% as compared to controls with a proportion of 29.25% co-morbidities. The median days of hospital stay were significantly lower in cases compared to controls (3 days vs 12 days, P < 0.001). Conclusion: Length of hospital stay (in days) was showing a significant difference among cases and control (3 days Vs 12 days); hospital stay was less (median 3 days) for cases, as they reported late and thus died earlier; hence concluded that early hospital admission will decrease chances of death due to COVID-19.

COVID-19 Patient Health Monitoring System

The system proposed can be used to regular checkup of the COVID patients while maintaining the social distancing. Also, the data sensed by the sensors is directly sent to doctor, reducing the cost of paying regular visits to doctor. The Iot platform used in the system helps to transfer the real time patient's data remotely to host device. Daily health record can be maintained and can be viewed easily on graphs charts ease for doctors to see any abrupt changes in oxygen level or rise in temperature. To track the patient health micro-controller is in turn interfaced to an LCD display and wi-fi connection to send the data to the web-server (wireless sensing node). In case of any abrupt changes in patient heart-rate or body temperature alert is sent about the patient using IoT. This system also shows patients temperature and heartbeat tracked live data with timestamps over the Internetwork.

Coviguard - Intelligent shirt using Arduino for protection against covid

In the current pandemic situation, we need to follow certain precautionary measures to safeguard us from the deadly virus. We have been able to contain the virus to a certain extent through social distancing, by sanitizing ourselves and sterilizing the daily-use items. Monitoring the vitals like body temperature, oxygen saturation, and pulse rate has proven to be effective in diagnosing the fatal disease. In this proposed method, we have come up with a solution to help the user to keep a check on the important parameters mentioned above by incorporating various sensors like MLX90614 non-contact infrared temperature sensor, SpO2 sensor, pulse rate sensor, and ultrasonic sensor in a shirt- CoviGuard. The vitals are displayed on an IOT application called ThingSpeak. A buzzer is used to indicate if the user doesn't maintain the specified distance of 0.5 meters. © 2023 IEEE.

Design and Implementation of Regulated Oxygenation Based Ventilation System with Feedback Mechanism

A multifunctional medical device for the aid of COVID affected patients are scarce. This paper proposes an automated medical device which is incorporated with a feedback mechanism and a GSM base emergency alarm system. The combined sensors in the prototype can acquire readings of a patient's temperature, heart rate, oxygen saturation (SpO2), respiratory rate (RR), and heart condition noninvasively and can send these vitals easily via SMS in real time. Based on the patient's SpO2 level and RR, the system can control the oxygen flow through a nasal canola with the aid of a servo motor mechanism. The system derives information from the sensors to operate automatically based on the degrading vitals of a patient. Due to its nature of user friendliness the protype can be operated without much prior medical knowledge. © 2023 IEEE.

Therapeutic Effectiveness of Interferon-α2b against COVID-19 with Community-Acquired Pneumonia: The Ukrainian Experience.

Despite several targeted antiviral drugs against SARS-CoV-2 currently being available, the application of type I interferons (IFNs) still deserves attention as an alternative antiviral strategy. This study aimed to assess the therapeutic effectiveness of IFN-α in hospitalized patients with COVID-19-associated pneumonia. The prospective cohort study included 130 adult patients with coronavirus disease (COVID-19). A dose of 80,000 IU of IFN-α2b was administered daily intranasally for 10 days. Adding IFN-α2b to standard therapy reduces the length of the hospital stay by 3 days (p < 0.001). The level of CT-diagnosed lung injuries was reduced from 35% to 15% (p = 0.011) and CT injuries decreased from 50% to 15% (p = 0.017) by discharge. In the group of patients receiving IFN-α2b, the SpO2 index before and after treatment increased from 94 (92-96, Q1-Q3) to 96 (96-98, Q1-Q3) (p < 0.001), while the percentage of patients with normal saturation increased (from 33.9% to 74.6%, p < 0.05), but the level of SpO2 decreased in the low (from 52.5% to 16.9%) and very low (from 13.6% to 8.5%) categories. The addition of IFN-α2b to standard therapy has a positive effect on the course of severe COVID-19.

Clinical and Laboratory Predictors of Mortality in Severe COVID-19 Pneumonia: A Retrospective Study from India

OBJECTIVE: Wide arrays of laboratory parameters have been proposed by many studies for prognosis in COVID-19 patients. In this study, we wanted to determine if the International Severe Acute Respiratory and Emerging Infections Consortium-Coronavirus Clinical Characterization Consortium score in addition to certain clinical and laboratory parameters would help in predicting mortality. We wanted to determine if a greater severity score on chest x-ray at presentation translated to poor patient outcomes using the COVID-19 chest radiography score. MATERIAL AND METHODS: This retrospective study was conducted at SDS TRC and Rajiv Gandhi Institute of chest diseases, Bangalore from March 2021 to June 2021. This study included 202 real-time-polymerase chain reaction-positive COVID-19 patients aged above 18 years admitted to the intensive care unit of our hospital. Demographic characteristics and baseline hematological and inflammatory markers (serum C-reactive protein, lactate dehydrogenase, troponin-I, ferritin, and d-dimer) were collected. Radiological severity on a chest x-ray was assessed using the validated COVID-19 chest radiography score. The International Severe Acute Respiratory and Emerging Infections Consortium-Coronavirus Clinical Characterization Consortium score was assigned to each patient within 24 hours of intensive care unit admission. Outcome studied was in-hospital mortality. RESULT(S): The overall mortality was 54.9% (111 cases). Age more than 50 years, >4 days of symptoms, peripheral oxygen saturation/ fraction of inspired oxygen ratio less than 200, elevated serum lactate dehydrogenase >398.5 IU/L, and hypoalbuminemia (<2.95 g/dL) were detected as independent predictors of mortality. A significant correlation of risk stratification with mortality (P = .057) was seen with International Severe Acute Respiratory and Emerging Infections Consortium-Coronavirus Clinical Characterization Consortium score. There was no significant correlation between the COVID-19 chest radiography score and mortality. CONCLUSION(S): Age >50 years, peripheral oxygen saturation/fraction of inspired oxygen ratio <200, mean symptom duration of >4 days, elevated serum lactate dehydrogenase, and hypoalbuminemia are independent predictors of mortality in severe COVID-19 pneumonia. International Severe Acute Respiratory and Emerging Infections Consortium-Coronavirus Clinical Characterization Consortium score was different in the survivors and deceased.Copyright © Author(s).

Effect of compression of fourth ventricle on the respiratory capacity in the post COVID patients

Introduction and Aim: Post-covid syndrome is the group of nonspecific symptoms which are seen among the patients who have been recovered from COVID-19 and that persist over 4 weeks. Symptoms involve fatigue, breathlessness, cough, cognitive disturbances, depression and anxiety, many organs related symptoms, and the prominent features involve shortness of breath and inability to return to baseline activity level. Studies show that Pneumonia which is associated with the COVID-19 infections can lead to long-standing damage to the alveoli in the lungs and as a result scar tissues may develop which in the future can lead to long-term breathing problems. The aim of this study is to assess the effectiveness of osteopathic CV4 technique in post covid patients. Material(s) and Method(s): This is a pre-test and post-test experimental study conducted at Sri Sri University. In this study, 20 subjects both male and female, having mean age of 23.3 +/- 2.81 years were taken. After assessment of all inclusion and exclusion criteria, a brief history regarding COVID-19 and if present other respiratory disorders was taken. Following this, a 5 minutes window period was given to all participants before the collection of pre-test data. Result(s): When CV4 osteopathic technique was given to post-covid patients, there was a significant change in FVC, FEV1, PEF and pulse rate when compared to the pretest intervention data. However, the changes in oxygen saturation levels were not statistically significant. Conclusion(s): The results show that osteopathic CV4 technique alters the respiratory capacity in post covid patients.Copyright © 2023, Indian Association of Biomedical Scientists. All rights reserved.

Teleconsultation and Human Parameter Monitoring system using Arduino UNO and NODE MCU

In this paper, we propose a model named Virtual Doctor- Teleconsultation and Parameter Monitoring System' which provides some usefulness of providing medication and helps in gauging the essential parameters (Heart rate, Temperature and SpO2) and UVC (Ultraviolet sort C) sterilization unit for the sensors. During the ongoing situation, diminishing the human-to-human contact in emergency clinics is required. In a bid, to keep specialists and clinical staff from getting impacted by Coronavirus, the job of medication conveying robots are being developed. We can attain the Locomotion procedure of the robot using telegram bot and live video streaming by ESP32-Camera. The working principle is that the Doctor or the Nurse can control the moment of entire model by observing surroundings using a camera and commanding through a mobile application. For this model, we are utilizing the essential microcontroller, that is to say, Arduino UNO. We were effective in taking readings with the assistance of a sensors and had the option to supply capacity to the UVC light in which it cleaned the articles inside the unit when it was uncovered for 2-3 minutes. Lastly, the robot had the option to move effectively with the assistance of Arduino and Wi-Fi arrangement. All the data will be successfully sent to the Doctor's smartphone using Telegram application and NodeMCufor internet connectivity. © 2022 IEEE.

Covid Patient Monitoring System for Self-quarantine Using Cloud Server Based IoT Approach

A pulse oximeter is a piece of medical equipment that analyses the quantity of oxygen concentration in a person's bloodstream, i.e., what proportion of the oxygen-carrying molecules known as hemoglobin) simply transport oxygen around the body. Pulse oximetry is based on the assumption that two wavelengths may be utilized to make arterial blood oxygen choices, assuming that the observations are done on the pulsatile component of the signal. Traditional pulse oximeters employ two leads at varied wavelengths and a phototransistor to estimate blood oxygen content without being intrusive, defined as the variation in coefficient of reflection between hemoglobin and deoxyhemoglobinin. Here, we proposed a self-quarantine system to monitor the condition of the patient remotely using cloud technology. The system monitors the temperature and SpO2 level continuously and uploads it to a private server in certain interval of time. So, the doctor or caretaker can view the condition of the patient remotely. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Machine Learning-Based Respiration Rate and Blood Oxygen Saturation Estimation Using Photoplethysmogram Signals.

The continuous monitoring of respiratory rate (RR) and oxygen saturation (SpO2) is crucial for patients with cardiac, pulmonary, and surgical conditions. RR and SpO2 are used to assess the effectiveness of lung medications and ventilator support. In recent studies, the use of a photoplethysmogram (PPG) has been recommended for evaluating RR and SpO2. This research presents a novel method of estimating RR and SpO2 using machine learning models that incorporate PPG signal features. A number of established methods are used to extract meaningful features from PPG. A feature selection approach was used to reduce the computational complexity and the possibility of overfitting. There were 19 models trained for both RR and SpO2 separately, from which the most appropriate regression model was selected. The Gaussian process regression model outperformed all the other models for both RR and SpO2 estimation. The mean absolute error (MAE) for RR was 0.89, while the root-mean-squared error (RMSE) was 1.41. For SpO2, the model had an RMSE of 0.98 and an MAE of 0.57. The proposed system is a state-of-the-art approach for estimating RR and SpO2 reliably from PPG. If RR and SpO2 can be consistently and effectively derived from the PPG signal, patients can monitor their RR and SpO2 at a cheaper cost and with less hassle.

Effects of face masks on oxygen saturation at graded exercise intensities.

CONTEXT: Mask wearing to mitigate the spread of COVID-19 and other viral infections may raise concerns on the effects of face masks on breathing and cardiopulmonary health. Non-evidence-based apprehensions may limit the use of masks in public. OBJECTIVES: We will assess the parameters related to heart and lung physiology between healthy male and female adults exposed to wearing face masks (or not) under conditions of rest and graded exercise. METHODS: We performed a cross-sectional study including 20 male and 20 female adults who met our inclusion criteria. Adults with underlying respiratory and cardiac conditions were excluded. Physiologic parameters were measured while the participants underwent three activity levels (10 min each) in a randomly assigned order: rest, walking, and stair climbing. Each activity level was conducted under three mask conditions: no mask, surgical mask, and N95 respirator. Heart rate (HR) and blood oxygen saturation (SpO2) were recorded via pulse oximeter after each activity. Perceived exertion was recorded utilizing a Borg 15-point scale. A mixed-effects analysis of variance (ANOVA) was utilized to interpret the results. RESULTS: A significant increase in perceived exertion was reported for N95 users (p<0.0001). There was also a significant increase in mean HR for N95 users in comparison to no-mask users (p=0.0031). The mean SpO2 in females was higher than males under rest and walking conditions (p=0.0055). There was no change in SpO2 between mask type overall, nor between mask type vs. exercise intensity, nor between mask type and sex. CONCLUSIONS: Our findings provide evidence that surgical masks and N95 respirators do not influence SpO2 at rest or during exercise.

Prognostication using SpO2/FiO2 in invasively ventilated ICU patients with ARDS due to COVID-19 - Insights from the PRoVENT-COVID study.

BACKGROUND: The SpO2/FiO2 is a useful oxygenation parameter with prognostic capacity in patients with ARDS. We investigated the prognostic capacity of SpO2/FiO2 for mortality in patients with ARDS due to COVID-19. METHODS: This was a post-hoc analysis of a national multicenter cohort study in invasively ventilated patients with ARDS due to COVID-19. The primary endpoint was 28-day mortality. RESULTS: In 869 invasively ventilated patients, 28-day mortality was 30.1%. The SpO2/FiO2 on day 1 had no prognostic value. The SpO2/FiO2 on day 2 and day 3 had prognostic capacity for death, with the best cut-offs being 179 and 199, respectively. Both SpO2/FiO2 on day 2 (OR, 0.66 [95%-CI 0.46-0.96]) and on day 3 (OR, 0.70 [95%-CI 0.51-0.96]) were associated with 28-day mortality in a model corrected for age, pH, lactate levels and kidney dysfunction (AUROC 0.78 [0.76-0.79]). The measured PaO2/FiO2 and the PaO2/FiO2 calculated from SpO2/FiO2 were strongly correlated (Spearman's r = 0.79). CONCLUSIONS: In this cohort of patients with ARDS due to COVID-19, the SpO2/FiO2 on day 2 and day 3 are independently associated with and have prognostic capacity for 28-day mortality. The SpO2/FiO2 is a useful metric for risk stratification in invasively ventilated COVID-19 patients.

Airways management in SARS-COV-2 acute respiratory failure: A prospective observational multi-center study.

Objective: Few studies have reported the implications and adverse events of performing endotracheal intubation for critically ill COVID-19 patients admitted to intensive care units. The aim of the present study was to determine the adverse events related to tracheal intubation in COVID-19 patients, defined as the onset of hemodynamic instability, severe hypoxemia, and cardiac arrest. Setting: Tertiary care medical hospitals, dual-centre study performed in Northern Italy from November 2020 to May 2021. Patients: Adult patients with positive SARS-CoV-2 PCR test, admitted for respiratory failure and need of advanced invasive airways management. Interventions: Endotracheal Intubation Adverse Events. Main variables of interests: The primary endpoint was to determine the occurrence of at least 1 of the following events within 30 minutes from the start of the intubation procedure and to describe the types of major adverse peri-intubation events: severe hypoxemia defined as an oxygen saturation as measured by pulse-oximetry <80%; hemodynamic instability defined as a SBP 65 mmHg recoded at least once or SBP < 90 mmHg for 30 minutes, a new requirement or increase of vasopressors, fluid bolus >15 mL/kg to maintain the target blood pressure; cardiac arrest. Results: Among 142 patients, 73.94% experienced at least one major adverse peri-intubation event. The predominant event was cardiovascular instability, observed in 65.49% of all patients undergoing emergency intubation, followed by severe hypoxemia (43.54%). 2.82% of the patients had a cardiac arrest. Conclusion: In this study of intubation practices in critically ill patients with COVID-19, major adverse peri-intubation events were frequent. Clinical Trial registration: www.clinicaltrials.gov identifier: NCT04909476.

Objetivo: Pocos estudios han informado las implicaciones y los eventos adversos de realizar una intubación endotraqueal para pacientes críticos con COVID-19 ingresados ​​en unidades de cuidados intensivos. El objetivo del presente estudio fue determinar los eventos adversos relacionados con la intubación traqueal en pacientes con COVID-19, definidos como la aparición de inestabilidad hemodinámica, hipoxemia severa y paro cardíaco. Ámbito: Hospitales médicos de atención terciaria, estudio de doble centro realizado en el norte de Italia desde noviembre de 2020 hasta mayo de 2021. Pacientes: Pacientes adultos con prueba PCR SARS-CoV-2 positiva, ingresados por insuficiencia respiratoria y necesidad de manejo avanzado de vías aéreas invasivas. Intervenciones: Eventos adversos de la intubación endotraqueal. Principales variables de interés: El punto final primario fue determinar la ocurrencia de al menos 1 de los siguientes eventos dentro de los 30 minutos posteriores al inicio del procedimiento de intubación y describir los tipos de eventos adversos periintubación mayores. : hipoxemia severa definida como una saturación de oxígeno medida por pulsioximetría <80%; inestabilidad hemodinámica definida como PAS 65 mmHg registrada al menos una vez o PAS < 90 mmHg durante 30 minutos, nuevo requerimiento o aumento de vasopresores, bolo de líquidos > 15 mL/kg para mantener la presión arterial objetivo; paro cardiaco. Resultados: Entre 142 pacientes, el 73,94% experimentó al menos un evento periintubación adverso importante. El evento predominante fue la inestabilidad cardiovascular, observada en el 65,49% de todos los pacientes sometidos a intubación de urgencia, seguido de la hipoxemia severa (43,54%). El 2,82% de los pacientes tuvo un paro cardíaco. Conclusión: En este estudio de prácticas de intubación en pacientes críticos con COVID-19, los eventos adversos periintubación mayores fueron frecuentes. Registro de ensayos clínicos: www.clinicaltrials.gov identificador: NCT04909476.

An expanded definition of acute respiratory distress syndrome: Challenging the status quo.

Although the Berlin definition of acute respiratory distress syndrome (ARDS), 2012 has been widely used in clinical practice, issues have occasionally been raised regarding various criteria since it was proposed. High-flow nasal oxygen (HFNO) is widely used for effective respiratory support in acute respiratory failure. As patients who do not require ventilation but meet the Berlin criteria have similar characteristics to those with ARDS, the definition of ARDS may be broadened to include patients receiving HFNO. As the PaO2/FiO2 under-recognizes the diagnosis of ARDS, a SpO2/FiO2 value of ≤315 may be considered instead of a PaO2/FiO2 value of ≤300 for diagnosing the condition in resource-constrained settings. In this context, patients with severe COVID-19 always meet other criteria for ARDS except for 7-day acute onset. Therefore, the timeframe for the onset of ARDS may be extended to up to 14 days. An expanded definition of ARDS may allow early identification of patients with less severe diseases and facilitate testing and application of new therapies in patients with a high risk of poor outcomes. Here, we discuss the major controversies regarding the extension of the ARDS definition with a view to improving clinical implementation and patient outcomes.

IoT-based COVID-19 Realtime Monitoring and Alerting System in Brunei

A novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, also known as COVID-19) is a major problem for many countries in the world. Brunei is also affected by this COVID-19 pandemic in many ways. To alleviate the burden on the health ministry, we developed a low-cost, reliable Internet of Things (IoT) based real-time health monitoring system to diagnose early COVID-19 symptoms for patients at home. This diagnosis includes the three important physiological parameters such as body temperature, heart rate and oxygen saturation level (SpO2) in the blood. This system comes with an OLED LCD to display the three parameters. Apart from that, these parameters are also displayed on a mobile dashboard using the Cayenne IoT platform for easy access. This system was evaluated against many people, and the results were compared against the industry-standard pulse oximeters which are remarkably close and dependable. © 2022 IEEE.

Correlation between BMI and HB with Oxygen Saturation in Medical Students

Background: The bulk of oxygen in blood is normally transported as oxyhemoglobin. The amount of oxyhemoglobin is often expressed as percentage saturation (Spo2). Objective(s): Oxygen saturation is one of the vitals monitored in clinical practice and also the most important vital monitored in COVID-19patients since it's the oxygen saturation which gets depleted in these patients. COVID pandemic has taken heavy toll on health and life of the people and since different people respond to COVID-19 differently so the response is multifactorial. The exposure to lower oxygen levels may have important clinical consequences, particularly in physiologic processes like respiratory drive, which are dependent on PO2 in the blood. Hence our aim is to study the effect of BMI and Hb on oxygen saturation (SPO2). Method(s): A descriptive cross-sectional study was conducted in Department of Physiology, SKIMS-Medical College. Data was collected by using self-administered questionnaire followed by anthropometric measurement. Body Mass Index (BMI) by Quetelet's index and Haemoglobin (Hb) concentrations by Sahli's method were assessed. Pulse oximetry was done to know the oxygen saturation. Result(s): The students with high BMI show negative correlation with oxygen saturation while as Hb with oxygen saturation shows positive correlation. These results have important clinical implications while treating patients with high BMI or low Hb. Copyright © 2023, Institute of Medico-legal Publication. All rights reserved.

Prediction of survival time after terminal extubation: the balance between critical care unit utilization and hospice medicine in the COVID-19 pandemic era.

BACKGROUND: We established 1-h and 1-day survival models after terminal extubation to optimize ventilator use and achieve a balance between critical care for COVID-19 and hospice medicine. METHODS: Data were obtained from patients with end-of-life status at terminal extubation from 2015 to 2020. The associations between APACHE II scores and parameters with survival time were analyzed. Parameters with a p-value ≤ 0.2 in univariate analysis were included in multivariate models. Cox proportional hazards regression analysis was used for the multivariate analysis of survival time at 1 h and 1 day. RESULTS: Of the 140 enrolled patients, 76 (54.3%) died within 1 h and 35 (25%) survived beyond 24 h. No spontaneous breathing trial (SBT) within the past 24 h, minute ventilation (MV) ≥ 12 L/min, and APACHE II score ≥ 25 were associated with shorter survival in the 1 h regression model. Lower MV, SpO2 ≥ 96% and SBT were related to longer survival in the 1-day model. Hospice medications did not influence survival time. CONCLUSION: An APACHE II score of ≥ 25 at 1 h and SpO2 ≥ 96% at 1 day were strong predictors of disposition of patients to intensivists. These factors can help to objectively tailor pathways for post-extubation transition and rapidly allocate intensive care unit resources without sacrificing the quality of palliative care in the era of COVID-19. Trial registration They study was retrospectively registered. IRB No.: 202101929B0.