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1.
Integr Med Res ; 12(4): 100997, 2023 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-38033650

RESUMO

Background: In intensive care units, mechanical ventilation is an important therapy to help patients with dyspnea. However, long-term ventilator dependence would consume huge medical resources and increase the risk of morbidity and mortality. The aim of the study was to examine the efficacy of the acupuncture combined with western medical care on ventilator parameters in ventilator-dependent patients. Methods: In this clinical trial, 80 ventilator-dependent patients aged 20 to 80 years old were randomly assigned to acupuncture group and control group in the respiratory care center (RCC) of Changhua Christian Hospital. Besides regular medical care and therapy, participants in the acupuncture group received acupuncture therapy at the same 17 acu-points for 20 minutes once a day, a total of 12 sessions. The ventilator parameters were recorded to evaluate the respiratory efficiency for all participants. The primary outcome was rapid shallow breathing index (RSBI), and secondary outcomes were respiratory rate (RR), tidal volume (TV) and ventilation per minute (MV). Results: Though there was no significant difference in the parameter between the acupuncture group and the control group, we found the trend of decreasing RSBI in the acupuncture group. In subgroup analyses, the mean of RSBI significantly decreased 16.02 (with the SD in 60.84) in acupuncture group, while it increased 17.84 (with the SD in 39.38) in control group (p=0.036) after 12 sessions. Conclusion: Acupuncture treatment can improve breathing ability of patients with respirator dependence in respiratory care center.

2.
Ann Palliat Med ; 10(1): 646-656, 2021 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-33545793

RESUMO

BACKGROUND: The timely weaning of mechanical ventilation can shorten intensive care unit (ICU) stay times and reduce the complications related to mechanical ventilation. This study sought to investigate the predictive role of a weaning index (WI) on mechanical ventilation evacuation by measuring minute ventilation volume (MVV) across different ventilation modes. METHODS: Patients suffering from respiratory failure for a variety of reasons were included in the study if they received mechanical ventilation for more than 48 hours in the ICU. The patients were randomly allocated to either the assist/control (A/C) group or the pressure support ventilation (PSV) group according to the ventilator mode. The factors associated with weaning success and failure were analyzed. RESULTS: A total of 40 patients participated in this study. Of these, 25 weaning cases were successful and 15 were failures. There were 19 cases in the A/C group, yielding a success rate of 63%, and 21 cases in the PSV group, yielding a success rate of 62%. There were no significant differences between the two groups in terms of age, gender, ideal weight, Acute Physiology and Chronic Health Evaluation (APACHE) II score, ICU stay time and hospitalization time. There were significant differences in the mechanical ventilation duration between the two groups (P<0.05). When the WI was less than 50.44, the sensitivity and specificity of predicting weaning success were 72% and 98%. The area under the receiver operating characteristic (ROC) curve was 0.928±0.03. When the WI of the A/C group was less than 61.45, the sensitivity and specificity of predicting weaning success were 98% and 72%, respectively. The area under the ROC curve was 0.917±0.068. When the WI of the PSV group was less than 51.45, the sensitivity and specificity of predicting weaning success were 74.6% and 100%, respectively. The area under the ROC curve was 0.933±0.046. CONCLUSIONS: Compared with RSBI, WI shows a better value in predicting weaning, especially for mechanically ventilated patients in PSV mode, WI has greater value in predicting weaning.


Assuntos
Respiração Artificial , Desmame do Respirador , Humanos , Unidades de Terapia Intensiva , Curva ROC , Sensibilidade e Especificidade
3.
Cureus ; 13(1): e12539, 2021 Jan 06.
Artigo em Inglês | MEDLINE | ID: mdl-33564535

RESUMO

Background and purpose Patients with spontaneous intracerebral haemorrhage have significant morbidity and mortality. One aspect of their care is the need for mechanical ventilation. Extubating a patient safely and efficiently is important in advancing their care; however, traditional extubation criteria using the rapid shallow breathing index and negative inspiratory force do not predict success in these patients as well as they do in other intubated patients. This study aimed to evaluate these criteria in patients with spontaneous intracerebral haemorrhage to improve the extubation success rate. Methods We conducted a retrospective chart review of patients with spontaneous intracerebral haemorrhage (sICH) who underwent spontaneous breathing trials from 2018 to 2020. Twenty-nine patients met the inclusion criteria, and of these 29, 20 had a trial of extubation. Rapid shallow breathing index (RSBI), negative inspiratory force (NIF), and cuff leak were recorded to analyze breathing parameters at the time of extubation. Patients who required reintubation were noted. Results All trials of extubation required a cuff leak. Using RSBI, patients with values <105 or <85, as the only other extubation criteria, were associated with a 70.6% and 71.4% success rate, respectively. With RSBI <105 and NIF <-25 cm water, the success rate was 88.9%. Any patient with a cuff leak that had a NIF <-30 had a success rate of 100%, regardless of RSBI. Conclusion The RSBI was not a reliable isolated measure to predict 100% extubation success. Using a NIF <-30 predicts a 100% extubation success rate if a cuff leak is present. This demonstrates that the NIF may be a more useful metric in sICH patients, as it accounts for patient participation and innate ability to draw a breath spontaneously. Future studies are warranted to evaluate further and optimize the extubation criteria in these patients.

4.
Cureus ; 12(6): e8754, 2020 Jun 21.
Artigo em Inglês | MEDLINE | ID: mdl-32714692

RESUMO

Introduction Weaning patients of ventilation is an important step in the intensive care unit; therefore, assessing the perfect timing to do such critical action is of equal significance to prevent complications. Rapid shallow breathing index (RSBI) has been used as a prediction tool for weaning adult patients, but for pediatric patients it is still an area of unclarity. Accordingly, the aim of this study is to evaluate the RSBI as a predictor of extubation outcome in pediatric patients underwent cardiac surgery at King Faisal Cardiac Center from 2016 until 2019. Methods A retrospective cohort study was conducted at King Faisal Cardiac Center on all extubated children having cardiac surgeries from 2016 to 2019 with excluding the patients who were admitted for causes other than cardiac surgery. Their age was ranged from birth until 14 years. Moreover, the patients were grouped based on the extubation outcomes into: success, success with non-invasive ventilation, or failure which was defined as reintubation within 48 hours after extubation. Regarding the collected data, three readings of RSBI on hourly basis prior to extubation were calculated by dividing respiratory rate (RR) over tidal volume (VT) with a correction based on the body weight. Results A total of 86 patients met the inclusion and exclusion criteria. Thirty (34.9%) patients were successfully extubated, 51 (59.3%) patients had successful extubation with the use of non-invasive ventilation, and only five (5.8%) patients suffered from extubation failure. Two-hour RSBI as a predictor of outcome had a P-value of 0.003, one-hour RSBI had a P-value of 0.01, RSBI at time of extubation had a P-value of 0.02. Mean corpuscular volume (MCV) is higher in extubation failure group with a p-value of 0.01. Conclusion This study suggests that pediatric patients who suffer from extubation failure usually have a higher RSBI measurement compared to the patients who have a successful extubation. The most significant RSBI measurements to predict the extubation outcome were recorded two hours prior to extubation. Our study also found that extubation failure patients could have higher MCV than the success group.

5.
Crit Ultrasound J ; 10(1): 13, 2018 Jul 04.
Artigo em Inglês | MEDLINE | ID: mdl-29971618

RESUMO

BACKGROUND: Failed extubation from mechanical ventilation in critically ill patients is multifactorial, complex and not well understood. We aimed to identify whether combined transthoracic echocardiography, lung and diaphragmatic ultrasound can predict extubation failure in critically ill patients. RESULTS: Fifty-three participants who were intubated > 48 h and deemed by the treating intensivist ready for extubation underwent a 60-min pre-extubation weaning trial (pressure support ≤ 10 cmH2O and positive end expiratory pressure 5 cmH2O). Prior to extubation, data collected included ultrasound assessment of left ventricular ejection fraction, left atrial area, early diastolic trans-mitral flow velocity wave (E), early diastolic trans-mitral flow velocity wave/late diastolic trans-mitral flow velocity wave (E/A), early diastolic trans-mitral flow velocity wave/early diastolic mitral annulus velocity (E/E'), interatrial septal motion, lung loss of aeration score and diaphragm movement. At the end of the weaning trial, the rapid shallow breathing index and serum B-type natriuretic peptide concentration were measured. Success and failure of weaning was assessed by defined criteria. Decision to extubate was at the discretion of the treating intensivist. Failure of extubation was defined as re-intubation, non-invasive ventilation or death within 48 h after extubation. Of 53 extubated participants, 11 failed extubation. Failed extubation was associated with diabetes, ischaemic heart disease, higher E/E' (OR 1.27, 95% CI 1.05-1.54), left atrial area (OR 1.14, CI 1.02-1.28), fixed rightward curvature of the interatrial septum (OR 12.95, CI 2.73-61.41), and higher loss of aeration score of anterior and lateral regions of the lungs (OR 1.41, CI 1.01-1.82). CONCLUSIONS: Failed extubation in mechanically ventilated patients is more prevalent if markers of left ventricular diastolic dysfunction and loss of lung aeration are present.

6.
Eur J Cardiovasc Nurs ; 17(8): 751-759, 2018 12.
Artigo em Inglês | MEDLINE | ID: mdl-29879852

RESUMO

BACKGROUND: Extubation failure (ExtF) is associated with prolonged hospital length of stay and mortality in adult cardiac surgery patients postoperatively. In this population, ExtF-related variables such as the arterial partial pressure of oxygen to fraction of inspired oxygen ratio (PaO2/FiO2), rapid shallow breathing index, cough strength, endotracheal secretions and neurological function have been sparsely researched. AIM: To identify variables that are predictive of ExtF and related outcomes. METHOD: Prospective observational longitudinal study. Consecutively presenting patients ( n=205) undergoing open-heart cardiac surgery and admitted to the Cardiosurgical Intensive Care Unit (CICU) were recruited. The clinical data were collected at CICU admission and immediately prior to extubation. ExtF was defined as the need to restart invasive or non-invasive mechanical ventilation while the patient was in the CICU. RESULTS: The ExtF incidence was 13%. ExtF related significantly to hospital mortality, CICU length of stay and total hospital length of stay. The risk of ExtF decreased significantly, by 93% in patients with good neurological function and by 83% in those with a Rapid Shallow Breathing Index of ≥57 breaths/min per litre. Conversely, ExtF risk increased 27 times when the PaO2/FiO2 was <150 and 11 times when it was ≥450. Also, a reassuring PaO2/FiO2 value may hide critical pulmonary or extra-pulmonary conditions independent from alveolar function. CONCLUSION: The decision to extubate patients should be taken after thoroughly discussing and combining the data derived from nursing and medical clinical assessments. Extubation should be delayed until the patient achieves safe respiratory, oxygenation and haemodynamic conditions, and good neurocognitive function.


Assuntos
Extubação/efeitos adversos , Extubação/mortalidade , Procedimentos Cirúrgicos Cardíacos/mortalidade , Cuidados Críticos/métodos , Mortalidade Hospitalar/tendências , Medição de Risco/métodos , Idoso , Idoso de 80 Anos ou mais , Feminino , Previsões , Humanos , Relações Interprofissionais , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , Estudos Prospectivos
7.
Med Biol Eng Comput ; 56(3): 373-384, 2018 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-28766105

RESUMO

Weaning is important for patients and clinicians who have to determine correct weaning time so that patients do not become addicted to the ventilator. There are already some predictors developed, such as the rapid shallow breathing index (RSBI), the pressure time index (PTI), and Jabour weaning index. Many important dimensions of weaning are sometimes ignored by these predictors. This is an attempt to develop a knowledge-based weaning process via fuzzy logic that eliminates the disadvantages of the present predictors. Sixteen vital parameters listed in published literature have been used to determine the weaning decisions in the developed system. Since there are considered to be too many individual parameters in it, related parameters were grouped together to determine acid-base balance, adequate oxygenation, adequate pulmonary function, hemodynamic stability, and the psychological status of the patients. To test the performance of the developed algorithm, 20 clinical scenarios were generated using Monte Carlo simulations and the Gaussian distribution method. The developed knowledge-based algorithm and RSBI predictor were applied to the generated scenarios. Finally, a clinician evaluated each clinical scenario independently. The Student's t test was used to show the statistical differences between the developed weaning algorithm, RSBI, and the clinician's evaluation. According to the results obtained, there were no statistical differences between the proposed methods and the clinician evaluations.


Assuntos
Algoritmos , Simulação por Computador , Conhecimento , Pulmão/fisiologia , Desmame do Respirador , Gasometria , Pressão Sanguínea , Temperatura Corporal , Dióxido de Carbono/metabolismo , Lógica Fuzzy , Escala de Coma de Glasgow , Hemodinâmica , Hemoglobinas/metabolismo , Humanos , Concentração de Íons de Hidrogênio , Oxigênio/metabolismo , Testes de Função Respiratória
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