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Background: Ventilator-associated pneumonia (VAP) is a major cause of morbidity and mortality in patients receiving mechanical ventilation in India. Surveillance of VAP is essential to implement data-based preventive measures. Implementation of ventilator-associated events (VAE) criteria for surveillance has major constraints for low resource settings, which can lead to significant underreporting. Surveillance of VAP using common protocols in a large network of hospitals would give meaningful estimates of the burden of VAP in low resource settings. This study leverages a previously established healthcare-associated infections (HAI) surveillance network to develop and test a modified VAP definition adjusted for Indian settings. Methods: In this observational pilot study, thirteen hospitals from the existing HAI surveillance network were selected for developing and testing a modified VAP definition between February 2021 and April 2023. The criteria used for diagnosing VAP were adapted from the CDC's Pediatric VAP definition and modified to cater to the needs of Indian hospitals. Designated nurses recorded each VAP event in a case report form (CRF) and also collected denominator data. The data was entered into an indigenously developed database for validation and analysis. At the time of data analysis, a questionnaire was sent to sites to get feedback on the performance of the modified VAP definitions. Findings: Out of 133,445 patient days and 40,533 ventilator days, 261 VAP events were recorded, with an overall VAP rate of 6.4 per 1000 ventilator days and a device utilization ratio (DUR) of 0.3. A total of 344 organisms were reported from the VAP events. Of these, Acinetobacter spp (29.6%, 102) was the most frequent, followed by Klebsiella spp (26.7%, 92). Isolates of Acinetobacter spp (98%) and Enterobacterales (85.5%) showed very high resistance against Carbapenem. Colistin resistance was observed in 6% of Enterobacterales and 3.2% of Acinetobacter spp. Interpretation: Data from this pilot study needs to validated in the larger Indian HAI surveillance network so that it can help in wider implementation of this protocol in order to assess its applicability p VAP across India. Funding: This work was supported by a grant received from the Indian Council of Medical Research (code I-1203).
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Background: The severity of laboratory and imaging finding was found to be inconsistent with clinical symptoms in COVID-19 patients, thereby increasing casualties. As compared to conventional biomarkers, machine learning algorithms can learn nonlinear and complex interactions and thus improve prediction accuracy. This study aimed at evaluating role of biochemical and immunological parameters-based machine learning algorithms for severity indexing in COVID-19. Methods: Laboratory biochemical results of 5715 COVID-19 patients were mined from electronic records including 509 admitted in COVID-19 ICU. Random Forest Classifier (RFC), Support Vector Machine (SVM), Naive Bayesian Classifier (NBC) and K-Nearest Neighbours (KNN) classifier models were used. Lasso regression helped in identifying the most influential parameter. A decision tree was made for subdivided data set, based on randomization. Results: Accuracy of SVM was highest with 94.18% and RFC with 94.04%. SVM had highest PPV (1.00), and NBC had highest NPV (0.95). QUEST modelling ignored age, urea and total protein, and only C-reactive protein and lactate dehydrogenase were considered to be a part of decision-tree algorithm. The overall percentage of correct classification was 78.31% in the overall algorithm with a sensitivity of 87.95% and an AUC of 0.747. Conclusion: C-reactive protein and lactate dehydrogenase being routinely performed tests in clinical laboratories in peripheral setups, this algorithm could be an effective predictive tool. SVM and RFC models showed significant accuracy in predicting COVID-19 severity and could be useful for future pandemics.
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Patients' experiences in the intensive care unit (ICU) can enhance or impair their subsequent recovery. Improving patient and family experiences on the ICU is an important part of providing high quality care. There is little evidence to guide how to do this in a South Asian critical care context. This study addresses this gap by exploring the experiences of critically ill patients and their families in ICUs in Bangladesh and India. We elicit suggestions for improvements from patients, families and staff and highlight examples of practices that support person-centred care. This multi-site hospital ethnography was carried out in five ICUs in government hospitals in Bangladesh and India, selected using purposive sampling. Qualitative data were collected using non-participant observation and semi-structured interviews and analysed using reflexive thematic analysis. A total of 108 interviews were conducted with patients, families, and ICU staff. Over 1000 hours of observation were carried out across the five study sites. We identified important mediators of patient and family experience that span many different aspects of care. Factors that promote person-centred care include access to ICU for families, support for family involvement in care delivery, clear communication with patients and families, good symptom management for patients, support for rehabilitation, and measures to address the physical, environmental and financial needs of the family. This study has generated a list of recommendations that can be used by policy makers and practitioners who wish to implement person-centred principles in the ICU.
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BACKGROUND: The optimal way to hold an endotracheal tube (ETT) during intubation has not been studied. In this randomised clinical trial, we examined the effect of site-holding the ETT in two different positions on time and ease of intubation by anaesthesia trainees. METHODS: A single-centre, randomised trial of intubations of stable patients with uncomplicated airways was conducted from 15 September 2019 to 31 May 2021 in the All India Institute of Medical Sciences, Bhubaneswar, India. A previous pilot study performed in the unit determined the comparator positions for the ETT and the sample size for a 20% difference for the primary outcome of mean time to intubation (TTI). Patients were randomised at the time of the intubation; anaesthesia trainees held the ETT at 19 or 24 cm according to the patient's assignment. Video recordings of intubations were independently reviewed by two assessors blinded to the assignment. Secondary outcomes were intubation success, ease of intubation and complications. Intention-to-treat and per-protocol analyses were performed. RESULTS: 360 adults were randomised (180/arm) and intubated by 19 trainees. In intention-to-treat analysis, there was no significant difference in TTI. Sixteen times, trainees assigned to hold the ETT at 24 cm moved their grip distally (closer to the cuff) during the procedure. In a per-protocol analysis, TTI for those whose grip remained at 24 cm was shorter than those holding at 19 cm: 6.6 (SD 3.0) vs 7.6 (SD 4.2) s (95% CI for the difference 0.2 to 1.7 s), p=0.01. In both intention-to-treat and per-protocol analyses, there was no difference in first-pass success or ease of intubation between techniques. Eight patients assigned to 19 cm group and four assigned to 24 cm developed sore throats. CONCLUSION: In stable patients with uncomplicated airways, there was no significant difference in TTI based on the site at which trainees were assigned to hold the ETT. However, the shorter TTI at 24 cm in per-protocol analysis and fewer sore throat observed suggest this practice change warrants further investigation. TRIAL REGISTRATION NUMBER: CTRI/ 2019/09/021201.
Subject(s)
Anesthesia , Anesthesiology , Pharyngitis , Adult , Humans , Pilot Projects , Intubation, Intratracheal/methods , Respiration, Artificial , Pharyngitis/etiologyABSTRACT
PURPOSE: We aimed to study the prevalence of frailty, evaluate risk factors, and understand impact on outcomes in India. METHODS: This was a prospective registry-embedded cohort study across 7 intensive care units (ICUs) and included adult patients anticipated to stay for at least 48 h. Primary exposure was frailty, as defined by a score ≥ 5 on the Clinical Frailty Scale and primary outcome was ICU mortality. Secondary outcomes included in-hospital mortality and resource utilization. We used generalized linear models to evaluate risk factors and model association between frailty and outcomes. RESULTS: 838 patients were included, with median (IQR) age 57 (42,68) yrs.; 64.8% were male. Prevalence of frailty was 19.8%. Charlson comorbidity index (OR:1.73 (95%CI:1.39,2.15)), Subjective Global Assessment categories mild/moderate malnourishment (OR:1.90 (95%CI:1.29, 2.80)) and severe malnourishment (OR:4.76 (95% CI:2.10,10.77)) were associated with frailty. Frailty was associated with higher odds of ICU mortality (adjusted OR:2.04 (95% CI:1.25,3.33)), hospital mortality (adjusted OR:2.36 (95%CI:1.45,3.84)), development of stage2/3 AKI (unadjusted OR:2.35 (95%CI:1.60, 3.43)), receipt of non-invasive ventilation (unadjusted OR:2.68 (95%CI:1.77, 4.03)), receipt of vasopressors (unadjusted OR:1.47 (95%CI:1.04, 2.07)), and receipt of kidney replacement therapy (unadjusted OR:3.15 (95%CI:1.90, 5.17)). CONCLUSIONS: Frailty is common among critically ill patients in India and is associated with worse outcomes. STUDY REGISTRATION: CTRI/2021/02/031503.
Subject(s)
Frailty , Malnutrition , Adult , Humans , Male , Middle Aged , Female , Frailty/epidemiology , Cohort Studies , Prevalence , Intensive Care Units , Hospital Mortality , Critical Illness , Registries , Patient-Centered CareABSTRACT
Background: Improved access to healthcare in low- and middle-income countries (LMICs) has not equated to improved health outcomes. Absence or unsustained quality of care is partly to blame. Improving outcomes in intensive care units (ICUs) requires delivery of complex interventions by multiple specialties working in concert, and the simultaneous prevention of avoidable harms associated with the illness and the treatment interventions. Therefore, successful design and implementation of improvement interventions requires understanding of the behavioural, organisational, and external factors that determine care delivery and the likelihood of achieving sustained improvement. We aim to identify care processes that contribute to suboptimal clinical outcomes in ICUs located in LMICs and to establish barriers and enablers for improving the care processes. Methods: Using rapid evaluation methods, we will use four data collection methods: 1) registry embedded indicators to assess quality of care processes and their associated outcomes; 2) process mapping to provide a preliminary framework to understand gaps between current and desired care practices; 3) structured observations of processes of interest identified from the process mapping and; 4) focus group discussions with stakeholders to identify barriers and enablers influencing the gap between current and desired care practices. We will also collect self-assessments of readiness for quality improvement. Data collection and analysis will be led by local stakeholders, performed in parallel and through an iterative process across eight countries: Kenya, India, Malaysia, Nepal, Pakistan, South Africa, Uganda and Vietnam. Conclusions: The results of our study will provide essential information on where and how care processes can be improved to facilitate better quality of care to critically ill patients in LMICs; thus, reduce preventable mortality and morbidity in ICUs. Furthermore, understanding the rapid evaluation methods that will be used for this study will allow other researchers and healthcare professionals to carry out similar research in ICUs and other health services.
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Introduction: Mortality from coronavirus disease 2019 (COVID-19) pandemic has left footprints across all ages and socio-economic strata. The deaths because of COVID-19 are usually multi-factorial. The study aimed to assess the health system factors related to COVID-19-related deaths. Materials and Methods: A hospital-based retrospective study was conducted at a tertiary care hospital of eastern India. A total of 272 COVID-19 deaths that occurred between April and November 2020 were investigated. Data were extracted from Medical Record Department, and telephonic interviews were conducted to assess the different delays related to death. Data were analysed using Statistical Package for Social Sciences. Travel time, travel distance, delay in testing, and delay in receiving quality care were presented as median with inter-quartile range. Results: Complete information could be collected from 243 COVID deaths of the 272 deaths (89.3%). The duration of hospital stay was 1-7 days for 42% of the deceased. The median travel time was 120 min, and the median distance travelled was 60 km. The median time to receive first attention of health care workers was 10 minutes. There was hardly any delay in reporting of test results, whereas the median time from symptoms to test and the median time from symptoms to admission were 4 days each. Conclusion: Health system factors related to death of COVID-19 need to be addressed to avoid the avoidable deaths during the pandemic situation. The resilience of the health system can be helpful in reducing death toll in a low-resource country like India.
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Background: End-of-life (EOL) care is the care of terminally ill patients who are nearing their end. It includes important components like palliative care, supportive care, hospice care, patient's right to choose, and choice of medical intervention, including continuation of routine medical interventions. The aim of this survey was to assess the practices of EOL care in various critical care units in India. Methods: The participants included clinicians involved in EOL care of patients with advanced diseases in different hospital across India. We sent blast emails and posted links on social media for inviting participants to take the survey. Study data were collected and managed by using Google Forms. The collected information was automatically entered into a spread sheet and stored in a secure database. Results: In total, 91 clinicians took the survey. The years of experience, practice area, and setting had significant effect on the palliative care, terminal strategy, and prognostication in terminally ill patients (p < 0.05). Statistical analysis was done using software STATA. Descriptive statistics were performed, and results were presented as number (percentage). Conclusion: The years of work experience, the practice area, and the practice setting have a strong impact on EOL care management of terminally ill patients. There are a lot of gaps in providing EOL care for these patients. Many reforms are needed in the Indian health care system to make EOL care better. How to cite this article: Kapoor I, Prabhakar H, Mahajan C, Zirpe KG, Tripathy S, Wanchoo J, et al. A Nationwide Survey on the Practice of End-of-life Care Issues in Critical Care Units in India. Indian J Crit Care Med 2023;27(5):305-314.
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BACKGROUND: The Collaboration for Research, Implementation, and Training in Critical Care in Asia (CCA) is implementing a critical care registry to capture real-time data to facilitate service evaluation, quality improvement, and clinical studies. OBJECTIVE: The purpose of this study is to examine stakeholder perspectives on the determinants of implementation of the registry by examining the processes of diffusion, dissemination, and sustainability. METHODS: This study is a qualitative phenomenological inquiry using semistructured interviews with stakeholders involved in registry design, implementation, and use in 4 South Asian countries. The conceptual model of diffusion, dissemination, and sustainability of innovations in health service delivery guided interviews and analysis. Interviews were coded using the Rapid Identification of Themes from Audio recordings procedure and were analyzed based on the constant comparison approach. RESULTS: A total of 32 stakeholders were interviewed. Analysis of stakeholder accounts identified 3 key themes: innovation-system fit; influence of champions; and access to resources and expertise. Determinants of implementation included data sharing, research experience, system resilience, communication and networks, and relative advantage and adaptability. CONCLUSIONS: The implementation of the registry has been possible due to efforts to increase the innovation-system fit, influence of motivated champions, and the support offered by access to resources and expertise. The reliance on individuals and the priorities of other health care actors pose a risk to sustainability.
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Communication , Critical Care , Humans , Asia , Information Dissemination , Registries , Qualitative ResearchABSTRACT
Background Coronavirus disease-19 (COVID-19) patients often deteriorate rapidly based on viral infection-related inflammation and the subsequent cytokine storm. The clinical symptoms were found to be inconsistent with laboratory findings. There is a need to develop biochemical severity score to closely monitor COVID-19 patients. Methods This study was conducted in the department of biochemistry at All India Institute of Medical Sciences (AIIMS) Bhubaneswar in collaboration with the intensive care unit. Laboratory data of 7,395 patients diagnosed with COVID-19 during the first three waves of the pandemic were analyzed. The serum high sensitivity high-sensitivity C-reactive protein (hs-CRP, immuno-turbidity method), lactate dehydrogenase (LDH, modified Wacker et al. method), and liver enzymes (kinetic-UV method) were estimated by fully automated chemistry analyzer. Serum ferritin and interleukin-6 (IL-6) were measured by one-step immunoassay using chemiluminescence technology. Three models were used in logistic regression to check for the predictive potential of biochemical parameters, and a COVID-19 biochemical severity score was calculated using a non-linear regression algorithm. Results The receiver operating characteristic curve found age, urea, uric acid, CRP, ferritin, IL6, and LDH with the highest odds of predicting ICU admission for COVID-19 patients. COVID-19 biochemical severity scores higher than 0.775 were highly predictive (odds ratio of 5.925) of ICU admission (AUC=0.740, p<0.001) as compared to any other individual parameter. For the validation, 30% of the total dataset was used as testing data (n=2095) with a sensitivity of 68.3%, specificity of 74.5%, and odds ratio of 6.304. Conclusion Age, urea, uric acid, ferritin, IL6, LDH, and CRP-based predictive probability algorithm calculating COVID-19 severity was found to be highly predictive of ICU admission for COVID-19 patients.
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This rapid practice guideline provides evidence-based recommendations for the use of awake proning in adult patients with acute hypoxemic respiratory failure due to COVID-19. The panel included 20 experts from 12 countries, including one patient representative, and used a strict conflict of interest policy for potential financial and intellectual conflicts of interest. Methodological support was provided by the guidelines in intensive care, development, and evaluation (GUIDE) group. Based on an updated systematic review, and the grading of recommendations, assessment, development, and evaluation (GRADE) method we evaluated the certainty of evidence and developed recommendations using the Evidence-to-Decision framework. We conducted an electronic vote, requiring >80% agreement amongst the panel for a recommendation to be adopted. The panel made a strong recommendation for a trial of awake proning in adult patients with COVID-19 related hypoxemic acute respiratory failure who are not invasively ventilated. Awake proning appears to reduce the risk of tracheal intubation, although it may not reduce mortality. The panel judged that most patients would want a trial of awake proning, although this may not be feasible in some patients and some patients may not tolerate it. However, given the high risk of clinical deterioration amongst these patients, awake proning should be conducted in an area where patients can be monitored by staff experienced in rapidly detecting and managing clinical deterioration. This RPG panel recommends a trial of awake prone positioning in patients with acute hypoxemic respiratory failure due to COVID-19.
Subject(s)
COVID-19 , Clinical Deterioration , Respiratory Insufficiency , Adult , Humans , COVID-19/complications , COVID-19/therapy , Prone Position , Respiratory Insufficiency/etiology , Respiratory Insufficiency/therapy , SARS-CoV-2 , WakefulnessABSTRACT
Objective The performance of Xpert Carba-R assay for the direct identification of carbapenemases directly from positive blood culture vials was evaluated. Materials and Methods In total, 176 positively flagged blood culture vials, yielding carbapenem-resistant GNB (CR-GNB), were enrolled for the detection and differentiation of blaKPC, blaNDM, blaVIM, blaOXA-48, and blaIMP using Xpert Carba-R. Results Klebsiella pneumoniae (76/176, 43.1%), Acinetobacter baumannii complex (67/176, 38%), and Escherichia coli (29/176,16.4%) were the predominant isolates. Overall, NDM production was the commonest (61/176, 34.6%), followed by the co-production of NDM + OXA-48 and the absence of any CR gene (44/176, 25%), followed by OXA-48 (27/176, 15.3%). In CR K. pneumoniae , the co-production of NDM + OXA-48 was most frequent (34/76, 44.7%), whereas in the A. baumannii complex , no CR gene was detected in the majority of isolates (38/67, 56.7%). bla NDM was the commonest gene in E. coli (18/29, 62%) and A. baumannii complex (26/67, 38.8%). Conclusion Xpert Carba-R can identify the molecular mechanism of CR within hours after a blood culture turns positive and, thus, has the potential for optimization of antimicrobial therapy, choosing appropriate novel ß-lactam combination agents, as well as infection control interventions.
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Optimal time for ICU diary delivery and impact on mental health (MH), anxiety-depression, post-traumatic stress symptoms (PTSS), quality of life (QOL), and memories is unclear. We evaluated the effect of ICU diaries, dispatched at different time points, on outcomes in an Indian cohort. DESIGN: Double-blind randomized controlled trial. SETTING: A 1,000-bedded teaching hospital in East India. PATIENTS: Mechanically ventilated (>24 hr) adults were recruited, excluding those dead or incapable of meaningful-communication at discharge or follow-up. Eighty-three patients, aged 46.2 ± 17.2 years, Acute Physiology and Chronic Health Evaluation II scores 13.7 ± 4.9 were assessed. Length of ICU stay was 8.2 ± 7.1 days with 3.7 ± 3.2 ventilator days. INTERVENTION: Of 820 screened, 164 had diaries created. Including photographs, diaries were comaintained by healthcare workers and family members. Ninety patients were randomized at 1-month follow-up: diary sent to 45 at 1 month (group ID1) and to 45 at 3 months (ID3). MEASUREMENTS AND MAIN RESULTS: Anxiety-depression, memory, and QOL were assessed telephonically or home visits by a psychologist using the Hospital Anxiety-Depression Scale (HADS) and other tools at ICU discharge, 1-month (prerandomization), and 3 months of discharge. ID3 was reassessed after receiving diaries at 3.5 months. Primary outcome was anxiety-depression; secondary outcomes included PTSS, QOL, and memories. There was 100% follow-up. At 3 months, ID1 patients had a significant (p < 0.001) reduction in HADS from baseline when compared with ID3 that had not received diaries (4.16 ± 2.9 vs 2.15 ± 1.8; 95% CI, 2.8-1.2). PTSS scores were likewise better (p < 0.001). ID3 patients demonstrated significant improvement (p < 0.01) in QOL and memories along with HADS and PTSS when assessed at 3.5 months. CONCLUSIONS: ICU diaries improve MH but not QOL when delivered at 1 month and assessed 2 months thereafter. Assessed after 15 days, delayed exposure at 3 months significantly improved QOL and memories in addition to MH.
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Introduction: Chronically critically ill (CCI) patients often have high costs of care and poor outcomes. Disease management programs offering home care may reduce costs but need buy-in from informal caregivers. An understanding of caregiver burden in this population is lacking. We aimed to study the caregiver burden, its change over time, and factors affecting it, in post-ICU tracheostomized patients. We compared the caregiver burden among CCI carers to that of palliative caregivers. Materials and methods: Informal caregivers of thirty chronically critically ill tracheostomized patients (CGcci) were administered the Caregivers Burden Scale (CBS) tool at discharge, 2 and 4 weeks after discharge. A one-point assessment of burden was made in 30 caregivers of patients enrolled in Pain and Palliative care clinic (CGpc). Linear mixed models for repeated measures were used to analyze score of CGcci over time and compared to the burden in physical, psychologic, economic, time, and social domains between groups. Results: All 60 caregivers were young (33-35 years), predominantly male, and children of the patients. Both CGcci and CGpc had moderate burden score of 60.5 (14.7) vs 61.5 (13), respectively. Physical burden (11.5 vs 8) was greater in CGcci (p = 0.001) compared to psychologic domain (10 vs 12.5) in CGpc (p = 0.01). Burden score over all domains in CGcci decreased rapidly from 67.5 (8) to 55 (16.5) (p = 0.001) in the first month after discharge. Conclusion: Burden of care among caregivers of tracheostomized chronically critically ill patients is comparable to those of palliative caregivers and reduces significantly with time. CTRI: 2020/11/029443 (registered on: 27/11/2020). How to cite this article: Hansda U, Tripathy S, Sahoo AK, Panda I, Shetty AP, Mitra JK, et al. Home Care of Tracheostomized Chronically Critically Ill Patients: A Study of Caregivers' Burden and Comparison with the Burden of Palliative Care Patients in India. Indian J Crit Care Med 2022;26(5):579-583.
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OBJECTIVE: This study intends to compare the clinical characteristics and the prevalence and spectrum of bacterial pathogens in COVID-19 patients admitted to ICU during the first and second waves at a tertiary care, teaching and referral hospital of eastern India. METHOD: This is a hospital-based retrospective study which analysed demographic details, clinical profile and bacterial culture results of severe and critically ill COVID-19 patients admitted in intensive care units (ICU) during April -Oct 2020 (1st wave) and April -July 2021 (2nd wave). RESULT: The patients admitted during the 2nd wave were comparatively older and had multiple comorbidities compared to the 1st wave. (23.8%) (45/189) and 50% (173/346) of the COVID-19 patients admitted to ICU developed bacterial infection during the 1st and 2nd wave respectively. Overall, there was predominance of multidrug resistant Gram negative bacilli in both the waves. There was increased isolation of intrinsic colistin resistant microorganisms. CONCLUSION: Multidrug resistant Gram negative bacterial infections, remain a dreaded complication in severe and critically ill hospitalised COVID-19 patients requiring ICU care and high usage of colistin spirals the emergence and spread of pathogens intrinsically resistant to colistin.
Subject(s)
COVID-19 , Colistin , Anti-Bacterial Agents/therapeutic use , Bacteria , Critical Illness , Humans , Intensive Care Units , Pandemics , Retrospective Studies , Tertiary Care CentersABSTRACT
BACKGROUND: Different goals have guided goal-directed therapy (GDT). Protocols aiming for central venous-to-arterial carbon dioxide gap (DCO2) <6 mm Hg have improved organ function in septic shock. Evidence for use of DCO2 in the perioperative period is scarce. We aimed to determine if a GDT protocol using central venous saturation of oxygen (SCvo2) and DCO2 reduced organ dysfunction and intensive care unit (ICU) stay in American Society of Anesthesiologist (ASA) I and II patients undergoing major surgeries compared to pragmatic goal-directed care. METHODS: One hundred patients were randomized. Arterial and venous blood-gas values were recorded every 2 hours perioperatively for all patients. Intervention group (GrI) with access to both values was managed per protocol based on DCO2 and SCvo2. Dobutamine infusion 3 to 5 µg/kg/min started if DCO2 >6 mm Hg after correcting all macrocirculatory end points. Control group (GrC) had access only to arterial-gas values and managed per "conventional" goals without DCO2 or SCvo2. Patients were followed for 48 hours after surgery. Organ dysfunction, sequential organ failure assessment (SOFA) scores-primary outcome, length of stay in ICU, and duration of postoperative mechanical ventilation and hospital stay were recorded. The patient, surgeons, ICU team, and analyzer were blinded to group allocation. RESULTS: The groups (44 each) did not significantly differ with respect to baseline characteristics. Perioperative fluids, blood products, and vasopressors used did not significantly differ. The GrI had less organ dysfunction although not significant (79% vs 66%; P = .2). Length of ICU stay in the GrI was significantly less (1.52; standard deviation [SD], 0.82 vs 2.18; SD, 1.08 days; P = .002). Mechanical ventilation duration (0.9 days in intervention versus 0.6 days in control; P = .06) and length of hospital stay did not significantly differ between the groups. Perioperative DCO2 (5.8 vs 8.4 mm Hg; P < .001) and SCvo2 (73.5 vs 68.4 mm Hg; P < .001) were significantly better in the GrI. CONCLUSIONS: GDT guided by DCO2 did not improve organ function in our cohort. It resulted in greater use of dobutamine, improved tissue oxygen parameters, and decreased length of ICU stay. More evidence is needed for the routine use of DCO2 in sicker patients. In the absence of cardiac output monitors, it may be a readily available, less-expensive, and underutilized parameter for major surgical procedures.
Subject(s)
Carbon Dioxide , Goals , Dobutamine , Hemodynamics , Humans , Multiple Organ Failure , OxygenABSTRACT
BACKGROUND: Healthcare associated infections (HAIs) are prevalent and difficult to treat worldwide. Most HAIs can be prevented by effective implementation of Infection Prevention and Control (IPC) measures. A survey was conducted to assess the existing IPC practices across a network of Indian Hospitals using the World Health Organization designed self-assessment IPC Assessment Framework (IPCAF) tool. METHODS: This was a cross sectional observation study. Thirty-two tertiary care public and private facilities, part of the existing Indian HAI surveillance network was included. Data collected was analyzed by a central team at All India Institute of Medical Sciences, New Delhi, a tertiary care hospital of India. The WHO questionnaire tool was used to understand the capacity and efforts to implement IPC practices across the network. RESULTS: The overall median score of IPCAF across the network was 620. Based on the final IPCAF score of the facilities; 13% hospitals had basic IPC practices, 28% hospitals had intermediate and 59% hospitals had advanced IPC practices. The component multimodal strategies had the broadest range of score while the component IPC guidelines had the narrowest one. CONCLUSIONS: Quality improvement training for IPC nurses and healthcare professionals are needed to be provided to health facilities.
Subject(s)
Cross Infection , Infection Control , Cross Infection/epidemiology , Cross Infection/prevention & control , Cross-Sectional Studies , Delivery of Health Care , Health Facilities , Humans , Self Report , Surveys and QuestionnairesABSTRACT
Background: Coronavirus disease 2019 (COVID-19) has been responsible for over 3.4 million deaths globally and over 25 million cases in India. As part of the response, India imposed a nation-wide lockdown and prioritized COVID-19 care in hospitals and intensive care units (ICUs). Leveraging data from the Indian Registry of IntenSive care, we sought to understand the impact of the COVID-19 pandemic on critical care service utilization, case-mix, and clinical outcomes in non-COVID ICUs. Methods: We included all consecutive patients admitted between 1 st October 2019 and 27 th September 2020. Data were extracted from the registry database and included patients admitted to the non-COVID or general ICUs at each of the sites. Outcomes included measures of resource-availability, utilisation, case-mix, acuity, and demand for ICU beds. We used a Mann-Whitney test to compare the pre-pandemic period (October 2019 - February 2020) to the pandemic period (March-September 2020). In addition, we also compared the period of intense lockdown (March-May 31 st 2020) with the pre-pandemic period. Results: There were 3424 patient encounters in the pre-pandemic period and 3524 encounters in the pandemic period. Comparing these periods, weekly admissions declined (median [Q1 Q3] 160 [145,168] to 113 [98.5,134]; p=0.00002); unit turnover declined (median [Q1 Q3] 12.1 [11.32,13] to 8.58 [7.24,10], p<0.00001), and APACHE II score increased (median [Q1 Q3] 19 [19,20] to 21 [20,22] ; p<0.00001). Unadjusted ICU mortality increased (9.3% to 11.7%, p=0.01519) and the length of ICU stay was similar (median [Q1 Q3] 2.11 [2, 2] vs. 2.24 [2, 3] days; p=0.15096). Conclusion: Our registry-based analysis of the impact of COVID-19 on non-COVID critical care demonstrates significant disruptions to healthcare utilization during the pandemic and an increase in the severity of illness.
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BACKGROUND: Endotracheal intubation by direct laryngoscopy is a widely performed lifesaving technique. Although there are guidelines for optimal size and depth of insertion of an endotracheal tube (ETT) for successful intubation, there is no consensus on the point at which it should be held along its length. This will arguably affect the time, ease, and success of the technique due to a difference in visualization and torque applied to the ETT after glottic visualization. We aim to compare the effect of 2 different sites of holding the ETT on time to intubation (TTI), intubation difficulty scale (IDS), and complications. METHODS: ASA 1-2 patients (>18 years) posted for surgery under general anesthesia, undergoing supervised intubation by anesthesia trainees (experience < 18 months), will be included. Patients with an anticipated difficult airway or unanticipated difficulty-CL grade 3 or 4 requiring the use of airway adjuncts-will be excluded. Patients will be randomized by a computer-generated number list, and allocation concealed with opaque sealed envelopes. The two sites for holding the ETT will be group 1 at 19 cm and group 2 at 24 cm. ETT marked at the selected site will be handed by the technician once the optimum position of the table, patient, and laryngoscopic view is confirmed by the intubator. The entire procedure will be video recorded. Two blinded assessors will independently review the videos to document the time to intubation and intubation difficulty score. A postoperative sore throat will be recorded. SAMPLE SIZE: To detect a 20% difference in time to intubation between groups with a significance level of 5% and power of 85%, we will need a total of 298 patients. Accounting for data loss, we plan to recruit 180 patients in each group. DISCUSSION: This will be the first study to assess whether the site of holding the tube has any impact on the ease and time taken for intubation. The findings of this study will provide scientific evidence for suggesting an appropriate place for holding the ETT during direct laryngoscopy procedures. TRIAL REGISTRATION: Clinical Trials Registry India CTRI/2019/09/021201.