BACKGROUND: Adaptive pressure control-continuous mandatory ventilation (APC-CMV) is a frequently utilized ventilator mode in ICU settings. This analysis compared APC-CMV and traditional volume control-continuous mandatory ventilation (VC-CMV) mode, describing factors associated with initiation, maintenance, and changes in settings of each mode.
METHODS: We analyzed ventilator data from a retrospective electronic health record data set collected as part of a quality improvement project in a single academic ICU. The majority ventilator mode was defined as the mode comprising the highest proportion of mechanical ventilation time. Multivariable logistic regression was used to identify variables associated with initial and majority APC-CMV or VC-CMV modes. Wilcoxon rank-sum tests were used to compare ventilator setting changes/d and sedation as a function of APC-CMV and VC-CMV majority modes.
RESULTS: Among 1,213 subjects initiated on mechanical ventilation from January 2013-March 2017, 68% and 24% were initiated on APC-CMV and VC-CMV, respectively, which composed 62% and 21% of the majority ventilator modes. Age, sex, race, and ethnicity were not associated with the initial or majority APC-CMV or VC-CMV modes. Subjects initiated on APC-CMV spent 88% of the mechanical ventilation time on APC-CMV mode. Compared to VC-CMV, subjects with APC-CMV majority mode experienced more ventilator setting changes/d (1.1 vs 0.8, P < .001). There were no significant differences in sedative medications when comparing subjects receiving APC-CMV versus VC-CMV majority modes.
CONCLUSIONS: APC-CMV was highly utilized in the medical ICU. Subjects on APC-CMV had more ventilator setting changes/d than those on VC-CMV. APC-CMV offered no advantage of reduced setting adjustments or less sedation compared to VC-CMV.

UNASSIGNED: As patient life expectancy has increased and people are living longer than before, the rate of mechanical ventilation among elderly patients in the intensive care unit has increased. Older patients who receive mechanical ventilation and have multiple comorbidities are more likely to have a do not resuscitate order than are younger patients with fewer comorbidities. The aim of our study was to describe the patient characteristics and predictive factors of do not resuscitate orders during hospitalization among elderly patients who received ventilation in the intensive care unit.
UNASSIGNED: This was a retrospective review of the electronic medical records of patients in the intensive care unit of a teaching hospital in southern Taiwan. We enrolled patients admitted to the general intensive care unit from January 1, 2018, to September 31, 2020, and patients older than 80 years who experienced respiratory failure, were intubated and received mechanical ventilation. We analyzed patient demographics, disease severity during hospitalization and comorbidities. If a patient had multiple admissions to the intensive care unit, only the first admission was recorded.
UNASSIGNED: Of the 305 patients over 80 years of age with respiratory failure who were intubated and placed on a ventilator, 66 were excluded because of incomplete data, and 13 were excluded because they had already signed a do not resuscitate order prior to admission to the hospital. Ultimately, 226 patients were included in this study. A higher acute physiology and chronic health evaluation II score (>30) was also associated with an increased likelihood of a do not resuscitate order (odds ratio (OR) = 3.85, 95% CI = 1.09-13.62, p = 0.0362). Patients who had acute kidney injury or cerebrovascular accident were more likely to have a do not resuscitate order (OR = 2.74, 95% CI = 1.03-7.28, p = 0.0428 and OR = 7.32, 95% CI = 2.02-26.49, p = 0.0024, respectively).
UNASSIGNED: Our study showed that older age, greater disease severity, and certain critical interventions were associated with a greater propensity for do not resuscitate orders, which is crucial for understanding patient preferences and guiding end-of-life care discussions. These findings highlight the importance of clinical severity and specific health events in predicting end-of-life care preferences in older patient groups.

Background: This PICO-guided systematic review assessed continuous lateral rotation therapy (CLRT) versus conventional position changes in mechanically ventilated critically ill adults, evaluating mortality, intensive care unit (ICU) and hospital stay duration as primary outcomes, and respiratory function, mechanical ventilation duration, pulmonary complications, and adverse events, as secondary outcomes. Methods: A systematic review followed PRISMA criteria (PROSPERO CRD42022384258). Searches spanned databases: MEDLINE/PubMed, EMBASE, Scopus, ScienceDirect, Cochrane, CINAHL and Web of Science, without language or publication year restrictions. Inclusion criteria involved randomized (RCT) and quasi-randomized trials, comparing CLRT (intervention) with conventional position changes (control). Risk of bias and quality of evidence for RCTs were assessed using the Cochrane collaboration and GRADE tools. For the quasi-randomized trials, the ROBINS-I tool was used. Results: In 18 studies with 1.466 participants (intervention, n= 700, 47.7%; control, n= 766, 52.2%), CLRT was predominantly used for prophylactic purposes, with protocols varying from 10 to 24 hours/day. Meta-analysis (16 RCTs) favored CLRT for reduced mechanical ventilation duration (SMD -0.17 days, CI -0.29 to -0.04, p=0.008) and lower nosocomial pneumonia incidence (OR 0.39, CI 0.29 to 0.52, p<0.00001). CLRT showed no significant impact on mortality (OR 1.04, CI 0.80 to 1.34, p= 0.77), ICU stay (SMD -0.11 days, CI -0.25 to 0.02, p= 0.11), hospital stay (SMD -0.10 days, CI -0.31 to 0.11, p= 0.33) and incidence of pressure ulcers (OR 0.73, CI 0,34 to 1.60, p= 0.44). Conclusions: CLRT showed no significant difference in primary outcomes (mortality, ICU, and hospital stay duration) but revealed significant differences in secondary outcomes (consistently reduced nosocomial pneumonia, with a minor effect on MV duration), supported by moderate certainty. Very low certainty for other outcomes highlights the need for current studies in diverse clinical settings and protocols to assess CLRT effectiveness.

BACKGROUND: During invasive ventilation, external flow jet nebulization results in increases in displayed exhaled tidal volumes (VT). We hypothesized that the magnitude of the increase is inaccurate. An ASL 5000 simulator measured ventilatory parameters over a wide range of adult settings: actual VT, peak inspiratory pressure (PIP), and time to minimum pressure.
METHODS: Ventilators with internal and external flow sensors were tested by using a variety of volume and pressure control modes (the target VT was 420 mL). Patient conditions (normal, COPD, ARDS) defined on the ASL 5000 were assessed at baseline and with 3.5 or 8 L/min of added external flow. Patient-triggering was assessed by reducing muscle effort to the level that resulted in backup ventilation and by changing ventilator sensitivity to the point of auto-triggering.
RESULTS: Results are reported as percentage change from baseline after addition of 3.5 or 8 L/min external flow. For ventilators with internal flow sensors, changes in displayed exhaled VT ranged from 10% to 118%, however, when using volume control, actual increases in actual VT and PIP were only 4%-21% (P = .063, .031) and 6%-24% (P = .25, .031), respectively. Changes in actual VT correlated closely with changes in PIP (P < .001; R2 = 0.68). For pressure control, actual VT decreased by 3%-5% (P = .031) and 4%-9% (P = .031) with 3.5 and 8 L/min respectively, PIP was unchanged. With external flow sensors at the distal Y-piece junction, volume and pressure changes were statistically insignificant. The time to minimum pressure increased at most by 8% (P = .02) across all modes and ventilators. The effects on muscle pressure were minimal (∼1 cm H2O), and ventilator sensitivity effects were nearly undetectable.
CONCLUSIONS: External flow jet nebulization resulted in much smaller changes in volume than indicated by the ventilator display. Statistically significant effects were confined primarily to machines with internal flow sensors. Differences approached the manufacturer-reported variation in ventilator baseline performance. During nebulizer therapy, effects on VT can be estimated at the bedside by monitoring PIP.

OBJECTIVE: Lung biopsies are sometimes performed in mechanically ventilated patients with acute hypoxemic respiratory failure (AHRF) of unknown etiology to guide patient management. While surgical lung biopsies (SLB) offer high diagnostic rates, they may also cause significant complications. Transbronchial forceps lung biopsies (TBLB) are less invasive but often produce non-contributive specimens. Transbronchial lung cryobiopsies (TBLC) yield specimens of potentially better quality than TBLB, but due to their novel implementation in the intensive care unit (ICU), their accuracy and safety are still unclear.
OBJECTIVE: Our main objective was to evaluate the risk of adverse events in patients with AHRF following the three biopsy techniques. Our secondary objectives were to assess the diagnostic yield and associated modifications of patient management of each technique.
METHODS: We conducted a retrospective cohort study comparing TBLC, TBLB, and SLB in mechanically ventilated patients with AHRF.
METHODS: The primary outcome was the proportion of patients with at least one complication, and secondary outcomes included complication rates, diagnostic yields, treatment modifications, and mortality.
RESULTS: Of the 26 patients who underwent lung biopsies from 2018 to 2022, all TBLC and SLB patients and 60% of TBLB patients had at least one complication. TBLC patients had higher unadjusted numbers of total and severe complications, but also worse Sequential Organ Failure Assessment scores and P/F ratios. A total of 25 biopsies (25/26, 96%) provided histopathological diagnoses, 88% (22/25) of which contributed to patient management. ICU mortality was high for all modalities (63% for TBLC, 60% for TBLB and 50% for SLB).
CONCLUSIONS: All biopsy methods had high diagnostic yields and the great majority contributed to patient management; however, complication rates were elevated. Further research is needed to determine which patients may benefit from lung biopsies and to determine the best biopsy modality.

OBJECTIVE: Future pandemics may cause more severe respiratory illness in younger age groups than COVID-19, requiring many more mechanical ventilators. This publication synthesizes the experiences of diverse contributors to Medtronic\'s mechanical ventilator supply chain during the pandemic, serving as a record of what worked and what didn\'t, while identifying key factors affecting production ramp-up in this healthcare crisis.
METHODS: In-depth, one-on-one interviews (n = 17) were held with key Medtronic personnel and suppliers. Template analysis was used, and interview content was analyzed for signals, initiatives, actions, and outcomes, as well as influencing forces.
RESULTS: Key findings revealed many factors limiting ventilator production ramp-up. Supply chain strengths and weaknesses were identified. Political factors played a role in allocating ventilators and also supported production. Commercial considerations were not priority, but economic awareness was essential to support suppliers. Workers were motivated and flexible. Component shortages, space, production processes, and logistics were challenges. Legally based pressures were reported e.g., import and export restrictions.
CONCLUSIONS: Crisis response alone is not enough; preparation is essential. Coordinated international strategies are more effective than individual country responses. Supply chain resilience based on visibility and flexibility is key. This research can help public health planners and the medical device industry prepare for future healthcare crises.

This case study describes, for the time frame of June 2021 through August 2022, the U.S. Veterans Health Administration (VHA) organizational response to a manufacturer\'s recall of positive airway pressure devices used in the treatment of sleep disordered breathing. VHA estimated it could take over a year for Veterans to receive replacement devices. Veterans awaiting a replacement faced a dilemma. They could continue using the recalled devices and bear the product safety risks that led to the recall, or they could stop using them and bear the risks of untreated sleep disordered breathing. Using a program monitoring approach, we report on the processes VHA put in place to respond to the recall. Specifically, we report on the strategic, service, and operational plans associated with VHA\'s response to the recall for Veterans needing replacement devices. In program monitoring, the strategic plan reflects the internal process objectives for the program. The service plan articulates how the delivery of services will intersect the customer journey. The operational plan describes how the program\'s resources and actions must support the service delivery plan. VHA\'s strategic plan featured a clinician-led, as opposed to primarily legal or administrative response to the recall. The recall response team also engaged with VHA\'s medical ethics service to articulate an ethical framework guiding the allocation of replacement devices under conditions of scarcity. This framework proposed allocating scarce devices to Veterans according to their clinical need. The service plan invited Veterans to schedule visits with sleep providers who could assess their clinical need and counsel them accordingly. The operational plan distributed devices according to clinical need as they became available. Monitoring our program processes in real time helped VHA launch and adapt its response to a recall affecting more than 700,000 Veterans.

How to cite this article: Bhattacharya D, Esquinas AM, Mandal M. Parasternal Intercostal Muscle Thickness Fraction (PICTF%): Ultrasound a New Tool for Weaning Prediction? Indian J Crit Care Med 2024;28(4):404.

Sustaining an inhalation injury increases the risk of severe complications and mortality. Current evidential support to guide treatment of the injury or subsequent complications is lacking, as studies either exclude inhalation injury or design limit inferences that can be made. Conventional ventilator modes are most commonly used, but there is no consensus on optimal strategies. Settings should be customized to patient tolerance and response. Data for pharmacotherapy adjunctive treatments are limited.

UNASSIGNED: Poverty is directly linked to public health care delivery in many ways and dimensions. Every aspect of the human sphere is preplanned, but a health crisis is the only emergency which pushes humanity into severe economic stress. Therefore, every nation aims to safeguard its citizens from a health crisis. In this aspect, India needs to improve its public health infrastructure in order to protect its citizens and save them from poverty.
UNASSIGNED: (1) To assess the current pitfalls in public critical health care delivery, (2) to analyze whether the health care delivery matches the requirements of its population in every state, (3) to produce solutions and guidelines to overcome the stress in this priority area.
UNASSIGNED: Data regarding the critical care workforce, which includes critical care doctors and nurses, were taken from official websites and other sources. Critical care infrastructure data were retrieved from the Internet sources. Data were validated by consulting state government sources and cross-checked for bias elimination. The data were analyzed using the \"Statistical Package for Social Sciences\" software version 20, and were presented using descriptive statistics.
UNASSIGNED: There is a 1:10 percentage of deficit in the case of critical care workforce and infrastructure when compared with its need analysis. Critical care medicine specialists are in 1:75 when compared to other specialties.
UNASSIGNED: Overall, the public sector critical care needs a total boost through out of box solutions. According to the Stockholm International Peace Research Institute (SIPRI), India spent the third most on defense in the world in 2021. India spent 76.6 billion dollars on its military in 2021, up 33% from 2012 and 0.9% from 2020. However, since India is considered a fast-growing economy, there is still a huge disparity in critical care. Without resetting critical health care, India cannot grow in welfare indices even if it is among the top gross domestic product (GDP) countries.
UNASSIGNED: Prabu D, Gousalya V, Rajmohan M, Dinesh MD, Bharathwaj VV, Sindhu R, et al. Need Analysis of Indian Critical Health Care Delivery in Government Sectors and its Impact on the General Public: A Time to Revamp Public Health Care Infrastructure. Indian J Crit Care Med 2023;27(4):237-245.