Outcomes In Intensive Care Unit Patients Research Articles

Bacteriuria and antibiotic use during the third wave of COVID-19 intensive care in Sweden

Background Urinary tract infections (UTIs) are prevalent among patients carrying indwelling catheters in the intensive care unit (ICU). This study investigates antibiotic use and bacterial colonisation among ICU patients during the third wave of the COVID-19 pandemic, building on our prior discovery of increased Enterococcus colonisation associated with increased cephalosporin use in early COVID-19. Methods Longitudinal urine samples from COVID-19 patients (n = 109) with transurethral catheterisation were analysed for bacterial prevalence, further identified via MALDI-TOF. Microbiological results were combined with clinical data obtained daily, assessed and compared with COVID-19 waves 1 and 2. Results Patients in wave 3 exhibited improved outcomes compared to those in waves 1 and 2, alongside a decrease in antibiotic use. Staphylococcus emerged as the primary bacterium and early colonizer of the urinary tract, potentially due to the absence of antibiotic treatment. Our results imply that length of stay (LOS) correlates solely with enteric pathogens and that antibiotic treatment correlates with colonisation by certain uropathogens, whereas the absence of antimicrobial therapy is associated with rapid colonisation of skin flora. Polymicrobial colonisation was common, predominantly involving Gram-positive bacteria. Conclusion Our findings underscore the complexity of bacteriuria in ICU patients, advocating for targeted surveillance and tailored antibiotic approaches to mitigate UTI risk. Insights into antibiotic use and bacterial colonisation are vital for optimising stewardship practices, combating antimicrobial resistance, and enhancing ICU patient outcomes.

Isolation of Candida Species Is Associated with Comorbidities, Prolonged Mechanical Ventilation, and Treatment Outcomes in Surgical ICU Patients, a Cross-Sectional Study

The isolation of Candida may be related to comorbidity, prolonged mechanical ventilation, and survival during intensive care unit (ICU) stay, especially with non-albicans Candida (NAC). To examine the frequency of Candida isolation, associated comorbidities and outcomes in the surgical ICU in Osijek University Hospital, Croatia, the data from the electronic database from May 2016 to 30 June 2023 were analyzed. In a cross-sectional study examining 15,790 microbiological samples, different strains of Candida were observed in 581 samples from 236 patients. The control group (N = 261) was 130 consecutive patients from March to May 2019 and 131 in the same months in 2020 (pre- and post-COVID-19). Comorbidities, duration of mechanical ventilation, and survival were compared. Patients with isolated Candida were more often non-elective and had significantly more heart, kidney, and liver diseases and sepsis than the control group (p < 0.001). The duration of mechanical ventilation was 9.2 [2.2–9.24], 96 [24–146], 160 [19.5–343], and 224 [73.5–510] hours in the controls, in patients with Candida albicans, in patients with NAC, and in patients with ≥2 Candida species isolated, respectively. The mortality was significantly higher (42%) in patients with isolated Candida than in the control group (19%, p < 0.001). In a multivariate analysis adjusted for patients’ age, the Simplified Acute Physiology Score II, days of ICU, and type of admission, only sepsis on admission was an independent predictor of mortality (odds ratio = 2.27).

Early sedation using ciprofol for intensive care unit patients requiring mechanical ventilation: a pooled post-hoc analysis of data from phase 2 and phase 3 trials

BackgroundCiprofol was approved for use in intensive care unit (ICU) patients requiring sedation during mechanical ventilation in July 2022. A pooled post-hoc analysis of phase 2 and phase 3 trials was conducted primarily to explore hypotension-free outcome in ICU patients who required mechanical ventilation and achieved the target light sedation goal at an early stage after being sedated with ciprofol or propofol.MethodsAll eligible ICU patients who were expected to require sedation for 6–24 h were randomly assigned in a 2:1 ratio to either a ciprofol or propofol group. Ciprofol or propofol was initially infused at loading doses of 0.5 or 1.0 mg/kg followed by maintenance doses of 0.3 or 1.5 mg/kg/h. Ciprofol or propofol dosages were adjusted up or down at rates of 0.05–0.10 mg/kg/h or 0.25–0.50 mg/kg/h, respectively, to achieve the target light sedation (a Richmond Agitation-Sedation Scale of -2 to + 1). The primary post-hoc outcome was the hypotension-free rate in patients who had achieved the target sedation goal after 30-min administration of ciprofol or propofol.ResultsIn total, 174 patients were enrolled for pooled post-hoc analysis, of whom 116 and 58 were assigned to the ciprofol and propofol groups, respectively. The hypotension-free rate was significantly higher in patients who achieved the target sedation goal after 30-min administration of ciprofol (93.0% vs. 81.0%, P = 0.018), and especially in the subgroups of males and patients aged < 65 years. Multivariable analysis revealed that ciprofol treatment, a younger age and lower baseline body mass index were independent favorable predictors for a higher hypotension-free rate in patients who achieved the target sedation goal after 30-min of drug administration. Moreover, hypotension-free patients who reached the target sedation level after 30 min had a more favorable short-term prognosis including a lower incidence of drug-related treatment-emergent adverse events, shorter time to extubation and fewer dose adjustments of ciprofol or propofol (all P < 0.05).ConclusionICU patients undergoing mechanical ventilation and sedated with ciprofol had significantly lower rate of hypotension during the early phase of achieving light sedation during a 6–24 h period, leading to a more favorable short-term prognosis (within 24 h).Trial registrationPhase 2 trial (clinicaltrials.gov, NCT04147416. Registered November 1, 2019, https://classic.clinicaltrials.gov/ct2/show/NCT04147416) and phase 3 trial (clinicaltrials.gov, NCT04620031. Registered November 6, 2020, https://classic.clinicaltrials.gov/ct2/show/NCT04620031).

Impact of nutrition-related laboratory tests on mortality of patients who are critically ill using artificial intelligence: A focus on trace elements, vitamins, and cholesterol.

This study aimed to understand the collective impact of trace elements, vitamins, cholesterol, and prealbumin on patient outcomes in the intensive care unit (ICU) using an advanced artificial intelligence (AI) model for mortality prediction. Data from ICU patients (December 2016 to December 2021), including serum levels of trace elements, vitamins, cholesterol, and prealbumin, were retrospectively analyzed using AI models. Models employed included category boosting (CatBoost), extreme gradient boosting (XGBoost), light gradient boosting machine (LGBM), and multilayer perceptron (MLP). Performance was evaluated using area under the receiver operating characteristic curve (AUROC), accuracy, precision, recall, and F1-score. The performance was evaluated using 10-fold crossvalidation. The SHapley Additive exPlanations (SHAP) method provided interpretability. CatBoost emerged as the top-performing individual AI model with an AUROC of 0.756, closely followed by LGBM, MLP, and XGBoost. Furthermore, the ensemble model combining these four models achieved the highest AUROC of 0.776 and more balanced metrics, outperforming all models. SHAP analysis indicated significant influences of prealbumin, Acute Physiology and Chronic Health Evaluation II score, and age on predictions. Notably, the ratios of selenium to age and low-density lipoprotein to total cholesterol also had a notable impact on the models' output. The study underscores the critical role of nutrition-related parameters in ICU patient outcomes. Advanced AI models, particularly in an ensemble approach, demonstrated improved predictive accuracy. SHAP analysis offered insights into specific factors influencing patient survival, highlighting the need for broader consideration of these biomarkers in critical care management.

Acute amiodarone-induced pulmonary toxicity in adult ICU patients with new-onset atrial fibrillation-A systematic review.

New-onset atrial fibrillation or flutter (NOAF) is a common arrhythmia in adult intensive care unit (ICU) patients. Intravenous amiodarone is one of the most used anti-arrhythmic drugs, despite its risk of inducing acute amiodarone-induced pulmonary toxicity (APT). We aimed to outline the body of evidence on acute APT in ICU patients with NOAF. We performed a systematic search using the population, intervention, comparison, and outcome (PICO) approach. We included studies of adults admitted to the ICU, who developed NOAF during their ICU stay, were treated with amiodarone, and reported on acute APT, irrespective of research design. The CASE guidelines were applied to evaluate the quality of the included studies, and study results are reported in accordance with the preferred reporting items for systematic reviews and meta-analyses. No randomised controlled trials or observational studies were identified. Nine case reports and one retrospective case series of fatal outcomes in ICU patients treated with amiodarone for NOAF constituted the evidence base. The quality of the included studies was high with a mean of 10 (range 8-12) of the 13 CASE guideline criteria fulfilled. The studies included a total of 16 critically ill adults who was diagnosed with acute APT after a mean of 9 days (range 2-20 days) following initiation of amiodarone with a mean total dose of amiodarone of 4553 mg (range 1100-13,500 mg) predominantly administrated intravenously. Three out of nine patients in the case reports died in the ICU during the amiodarone treatment. No long-term follow-up was conducted for the survivors. Acute APT in adult ICU patients treated with amiodarone for NOAF is poorly described and is based on a total of 16 reported cases. Additional studies assessing the safety of amiodarone in critically ill adults with NOAF in the ICU is warranted.

Assessment of COVID-19 patients’ outcome based on clinical profile, laboratory parameters, and clinical management: A retrospective observational study

ABSTRACT Background: The coronavirus disease 2019 (COVID-19) pandemic has presented an unprecedented challenge to the global healthcare system, prompting an urgent need to understand the factors influencing patient outcomes. Critical to improving treatment protocols and reducing mortality rates is an in-depth assessment of the clinical profile, laboratory findings, and management strategies employed in treating COVID-19 patients. This research provides valuable insights that could influence future therapeutic approaches and public health strategies, ultimately aiming to reduce the morbidity and mortality associated with COVID-19. The study aimed to assess mortality predictors in patients admitted to the intensive care unit (ICU) due to COVID-19. Methods: This study employed a retrospective approach, utilizing patient data from medical records. The collected data encompassed demographic and clinical profiles and details regarding the duration of admission and treatment. The evaluation focused on patients admitted to the ICU for COVID-19 between March 2020 and July 2021, with confirmation through real-time reverse transcriptase polymerase chain reaction (RT-PCR). Rigorous statistical analysis was conducted to compare outcomes between discharged and deceased patients. Results: The study included a total of 202 ICU patients admitted for COVID-19. Among the cases, 147 (72.8%) were males and 55 (27.2%) were females. The mean age was 58.42 years, with a standard deviation of 15.59 years. Fever (92%) emerged as the most frequently encountered symptom, followed by cough (48.5%) and dyspnea (35%). Patients with underlying comorbidities exhibited a higher susceptibility to developing a severe or critical disease. Hypertension (n = 38) was identified as the most prevalent comorbidity, followed by type 2 diabetes mellitus (n = 36). Hypertension has demonstrated a significant association with disease outcomes. Body temperature, respiratory rate, oxygen saturation, and mechanical ventilation played substantial roles in patient outcomes. Conclusion: The study revealed that underlying comorbidities and complications, such as acute respiratory distress syndrome (ARDS), were linked to significantly higher mortality rates among COVID-19 patients. Abnormal laboratory parameters also exhibited significant differences in the outcomes of ICU patients.

Impact of a financial incentive on early rehabilitation and outcomes in ICU patients: a retrospective database study in Japan

BackgroundEarly mobilisation of intensive care unit (ICU) patients has been recommended in clinical practice guidelines. Therefore, the Japanese universal health insurance system introduced an additional fee for early mobilisation and/or...

Effect of a fall within three months of admission on delirium in critically Ill elderly patients: a population-based cohort study

BackgroundDelirium is common among elderly patients in the intensive care unit (ICU) and is associated with prolonged hospitalization, increased healthcare costs, and increased risk of death. Understanding the potential risk factors and early prevention of delirium is critical to facilitate timely intervention that may reverse or mitigate the harmful consequences of delirium.AimTo clarify the effects of pre-admission falls on ICU outcomes, primarily delirium, and secondarily pressure injuries and urinary tract infections. MethodsThe study relied on data sourced from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Statistical tests (Wilcoxon rank-sum or chi-squared) compared cohort characteristics. Logistic regression was employed to investigate the association between a history of falls and delirium, as well as secondary outcomes, while Kaplan–Meier survival curves were used to assess short-term survival in delirium and non-delirium patients.ResultsStudy encompassed 22,547 participants. Delirium incidence was 40%, significantly higher in patients with a history of falls (54.4% vs. 34.5%, p < 0.001). Logistic regression, controlling for confounders, not only confirmed that a history of falls elevates the odds of delirium (OR: 2.11; 95% CI: 1.97–2.26; p < 0.001) but also showed it increases the incidence of urinary tract infections (OR:1.50; 95% CI:1.40–1.62; p < 0.001) and pressure injuries (OR:1.36; 95% CI:1.26–1.47; p < 0.001). Elderly delirium patients exhibited lower 30-, 180-, and 360-day survival rates than non-delirium counterparts (all p < 0.001).ConclusionsThe study reveals that history of falls significantly heighten the risk of delirium and other adverse outcomes in elderly ICU patients, leading to decreased short-term survival rates. This emphasizes the critical need for early interventions and could inform future strategies to manage and prevent these conditions in ICU settings.

Malnutrition elevates delirium and ICU stay among critically ill older adult COVID-19 patients.

Malnutrition among intensive care unit (ICU) patients is associated with a higher risk of mortality and prolonged hospitalization. However, the influence of malnutrition on severe outcomes of ICU patients with coronavirus disease 2019 (COVID-19) is unclear. By evaluating the effect of malnutrition on the outcomes of COVID-19 in the ICU in older adult patients, this study will contribute to new knowledge of assessing the nutritional status and recovery of these patients. In the current single center prospective study, 310 critically ill COVID-19 patients with an age range of ≥65 years were recruited. Data on demographic characteristics, laboratory parameters, comorbidities, medications, and types of mechanical ventilation were collected in the first 24 h of ICU admission. Malnutrition was defined based on the two-step approach of the Global Leadership Initiative on Malnutrition (GLIM) scale at baseline. During the 45 days after the baseline, we collected data on delirium incidence, mortality, invasive mechanical ventilation (IMV) requirement, length of ICU and hospital admission, and re-hospitalization. In this study, the prevalence of malnutrition was 63.4% among critically ill COVID-19 patients. During the 45-day follow-up, 190 (61.3%) COVID-19 deaths were recorded among the baseline 310 patients. After controlling for potential confounders, malnutrition was associated with an increased risk of delirium so malnourished COVID-19 patients had a significantly 35% higher risk of delirium than those without malnutrition (HR: 1.35, 95% CI: 1.01-1.83). Such a significant association was not for COVID-19 mortality and IMV requirement. In addition, malnutrition was associated with a significantly 84% greater odds of prolonged ICU admission (OR: 1.84, 95% CI: 1.09-3.10). No significant association was seen between malnutrition and re-hospitalization and also prolonged hospital admission. Malnutrition was associated with an increased risk of delirium and prolonged ICU admission among critically ill older adult COVID-19 patients. Prevention, diagnosis, and treatment of malnutrition could be a key component in improving outcomes in these patients.

Characteristics and outcomes of patients admitted to intensive care units in Uganda: a descriptive nationwide multicentre prospective study

Intensive care unit (ICU) mortality rates have decreased over time. However, in low-and lower-middle income countries (LMICs), there remains an excess ICU mortality with limited understanding of patient characteristics, treatments, and outcomes from small single centre studies. We aimed therefore, to describe the characteristics, therapies and outcomes of patients admitted to all intensive care units in Uganda. A nationwide prospective observational study including all patients admitted Uganda’s ICUs with available daily charts was conducted from 8th January 2018 to 1st April 2018. Socio-demographics and clinical characteristics including worst vital signs in the first 24 h of admission were recorded with calculation of the National Early Warning Score (NEWS-2) and quick Sequential Organ Function Assessment (qSOFA) score. ICU interventions were recorded during the ICU stay and patients were followed up to 28 days in ICU. The primary outcome was 28 day ICU mortality. Three-hundred fifty-one patients were analysed with mean age 39 (24.1) years, 205 (58.4%) males with 197 (56%) surgical admissions. The commonest indication for ICU admission was postoperative care (42.9%), 214 (61%) had at least one comorbidity, with hypertension 104 (48.6%) most prevalent and 35 (10%) HIV positive. The 28 day ICU mortality was 90/351 (25.6%) with a median ICU stay of 3 (1–7) days. The highest probability of death occurred during the first 10 days with more non-survivors receiving mechanical ventilation (80% vs 34%; p < 0.001), sedation/paralysis (70% vs 50%; p < 0.001), inotropic/vasopressor support (56.7% vs 22.2%; p < 0.001) and renal replacement therapy (14.4% vs 4.2%; p < 0.001). Independent predictors of ICU mortality included mechanical ventilation (HR 3.34, 95% CI 1.48–7.52), sedation/paralysis (HR 2.68, 95% CI 1.39–5.16), inotropes/vasopressor (HR 3.17,95% CI 1.89–5.29) and an HIV positive status (HR 2.28, 95% CI 1.14–4.56). This study provides a comprehensive description of ICU patient characteristics, treatment patterns, and outcomes in Uganda. It not only adds to the global body of knowledge on ICU care in resource-limited settings but also serves as a foundation for future research and policy initiatives aimed at optimizing ICU care in Sub-Saharan Africa.

Impact of Delirium Onset and Duration on Mortality in Patients With Cancer Admitted to the ICU.

Little is known on the effects of delirium onset and duration on outcome in critically ill patients with cancer. To determine the impact of delirium onset and duration on intensive care unit (ICU) and hospital mortality and length of stay (LOS) in patients with cancer. Of the 915 ICU patients admitted in 2018, 371 were included for analysis after excluding for terminal disease, <24-h ICU stay, lack of active cancer and delirium. Delirium was defined as early if onset was within 2 days of ICU admission, late if onset was on day 3 or later, short if duration was 2 days or less, and long if duration was 3 days or longer. Patients were placed into 4 combination groups: early-short, early-long, late-short, and late-long delirium. Multivariate analysis controlling for sex, age, metastatic disease, and predelirium hospital LOS was performed to determine ICU and hospital mortality and LOS. Exploratory analysis of long-term survival was also performed. Restricted cubic splines were performed to confirm the use of 2 days to distinguish between early versus late onset and short versus long duration. A total of 32.9% (n = 122) patients had early-short, 39.1% (n = 145) early-long, 16.2% (n = 60) late-short, and 11.9% (n = 44) late-long delirium. Late-long delirium was independently associated with increased ICU (OR 4.45, CI 1.92-10.30; P < .001) and hospital (OR 2.91, CI 1.37-6.19; P = .005) mortality and longer ICU (OR 1.97, CI 1.58-2.47; P < .001) LOS compared to early-short delirium. Early delirium had better overall survival at 18 months than late delirium. Long-term survival further improved when delirium duration was 2 days or less. Prediction heatmaps confirm the use of a 2-day cutoff. Late delirium, especially with long duration, significantly worsens outcome in ICU patients with cancer and should be considered a harbinger of poor overall condition.

Mobilizing Progress: A Comprehensive Review of the Efficacy of Early Mobilization Therapy in the Intensive Care Unit.

Early mobilization therapy has emerged as a crucial aspect of intensive care unit (ICU) management, aiming to counteract the detrimental effects of prolonged immobility in critically ill patients. This comprehensive review examines the efficacy of early mobilization therapy in the ICU setting, synthesizing evidence from clinical trials, meta-analyses, and guidelines. Key findings indicate that early mobilization is associated with numerous benefits, including reduced muscle weakness, a shorter duration of mechanical ventilation, decreased ICU and hospital length of stay, and improved functional outcomes. However, safety concerns, staffing limitations, and patient-specific considerations pose significant barriers to widespread adoption. Despite these challenges, early mobilization is important for improving ICU patient outcomes. This review underscores the critical need for continued research and implementation efforts to optimize early mobilization protocols, address remaining challenges, and expand access to this beneficial therapy. By working collaboratively to overcome barriers and prioritize early mobilization, healthcare providers can enhance the quality of care and improve outcomes for critically ill patients in the ICU.

Neuropsychological follow-up of isoflurane sedated intensive care patients: a substudy of a randomized trial.

Inhaled sedation of intensive care unit (ICU) patients ventilated >24 hours may have long term effects. We hypothesized that isoflurane has a better neuropsychological outcome in a one-year follow-up compared to propofol sedation. All 66 patients included by the coordinating center of the ISOCONDA study (EudraCT#: 2016-004551-67) took part in this substudy (DRKS00020240). A delirium test (CAM-ICU) was performed 24 hours after end of sedation. Sedation-, ventilator-, ICU- and delirium-free days within 30 days were calculated. Patients were sent five questionnaires one, three and twelve months after ICU discharge: ICU-Memory-tool (ICU-MT), Short-Form-36-Health-survey (SF-36), Posttraumatic-Stress-Scale-14 (PTSS-14), WHO-Five-Well-Being-Index (WHO-5) and Hospital-Anxiety-Depression-Scale (HADS). CAM-ICU was positive in 17% of patients, however 68% showed signs of delirium during the ICU stay (no group differences). Mortality was lower after isoflurane (30-days: 1/33 versus 7/33, P=0.024; One-year: 9/33 versus 14/33, P=0.156). Isoflurane led to significantly more sedation- (median [IQR]: 28[25-29] versus 24[21-29], P=0.016), ventilator- (28[24-29] versus 22[4-28], P=0.011), ICU- (23[13-26] versus 11[0-25], P=0.044) and delirium-free days (25[21-29] versus 20[12-28], P=0.031). Return rate of questionnaires was high (87/128). In the ICU-MT, isoflurane patients recalled significantly more factual memories after one year. Generally, the psychological tests suggested a poor quality of life (SF-36), high rates of post-traumatic-stress-disorder (PTSS-14: 38%) and depression (WHO-5: 54%, HADS: 43%), without significant group differences. Isoflurane sedation leads to more delirium free days during the ICU treatment and more factual memories of the ICU stay one year after the ICU stay. However long-term outcome of ventilated ICU patients is poor, and there were no differences between isoflurane and propofol sedation.

Age Distribution and Clinical Results of Critically Ill Patients above 65-Year-Old in an Aging Society: A Retrospective Cohort Study.

Increasing age has been observed among patients admitted to the intensive care unit (ICU). Age traditionally considered a risk factor for ICU mortality. We investigated how the epidemiology and clinical outcomes of older ICU patients have changed over a decade. We analyzed patients admitted to the ICU at a university hospital in Seoul, South Korea. We defined patients aged 65 and older as older patients. Changes in age groups and mortality risk factors over the study period were analyzed. A total of 32,322 patients were enrolled who aged ≥65 years admitted to the ICUs between January 1, 2007, and December 31, 2017. Patients aged ≥65 years accounted for 35% and of these, the older (O, 65 to 74 years) comprised 19,630 (66.5%), very older (VO, 75 to 84 years) group 8,573 (29.1%), and very very older (VVO, ≥85 years) group 1,300 (4.4%). The mean age of ICU patients over the study period increased (71.9±5.6 years in 2007 vs. 73.2±6.1 years in 2017) and the proportions of the VO and VVO group both increased. Over the period, the proportion of female increased (37.9% in 2007 vs. 43.3% in 2017), and increased ICU admissions for medical reasons (39.7% in 2007 vs. 40.2% in 2017). In-hospital mortality declined across all older age groups, from 10.3% in 2007 to 7.6% in 2017. Hospital length of stay (LOS) decreased in all groups, but ICU LOS decreased only in the O and VO groups. The study indicates a changing demographic in ICUs with an increase in older patients, and suggests a need for customized ICU treatment strategies and resources.

Limited English Proficiency and Outcomes in the Intensive Care Unit: An Integrated Review.

Language barriers place patients at risk of substandard care. Hospitalized patients with limited English proficiency (LEP) face unique challenges, especially in the intensive care unit (ICU). The purpose of this review is to critique and synthesize quantitative evidence on LEP and ICU outcomes. Quantitative studies published in English between 1999 and 2022 were queried using intentional terminology. Searches yielded 138 results, with 12 meeting inclusion criteria. The analysis resulted in the extrapolation of five themes pertinent to outcomes of ICU patients or families with LEP: (a) knowledge deficit relating to conditions and care; (b) lack of language-appropriate care; (c) alienation from care process; (d) decreased confidence and ownership of care; and (e) relationship to clinical quality indicators. Outcomes associated with LEP were largely negative and revealed unmet needs for ICU patients with LEP. More research is needed to improve linguistically and culturally congruent care in the ICU.

Associated Risk Factors and Clinical Outcomes of Bloodstream Infections among COVID-19 Intensive Care Unit Patients in a Tertiary Care Hospital.

The COVID-19 infection is an ongoing public health crisis causing millions of deaths worldwide. COVID-19 patients admitted to the intensive care unit (ICU) are more vulnerable to acquire secondary bloodstream infections (sBSIs) which cause a significant morbidity and mortality. Thus, we aim to assess the risk factors of sBSIs and outcomes in COVID-19 ICU patients. One hundred blood culture samples with growth (cases) and other 100 blood culture with no growth(controls) were collected.. All the demographic data, laboratory data and antimicrobial resistance pattern were analysed . Blood culture bottle received in the Microbiology laboratory were loaded into Automated blood culture system. Flagged bottles were processed for final identification by MALDI TOF and automated antibiotic susceptibility testing. Flagged bottles were processed for final identification by MALDI TOF and automated antibiotic susceptibility testing. Raised C-reactive protein (CRP) (P = 0.0035), interleukin-6 (P = 0.0404), mechanical ventilation (MV) (P = 0.024), prior antimicrobial exposure (P = 0.002), longer ICU stay with median 11 days (P = 0.022), and higher mortality rate (P = 0.001) were significantly associated with the BSI. A significant proportion of BSIs were Gram-negative bacteria (n = 115) such as Acinetobacter baumannii 38 (33%) and Klebsiella pneumoniae 30 (26%). Monomicrobial organisms in blood yielded a higher proportion in our study 72 (72%). The highest resistance for Acinetobacter species (50) was observed with ceftazidime 29 (96.6%) amikacin 48 (96%), meropenem 48 (96%), cefotaxime 47 (94%), ciprofloxacin 46 (92%), and netilmicin 46 (92%). K. pneumoniae was highly resistant to cefotaxime 29 (96.6%), ceftazidime 29 (96.6%), ciprofloxacin 22 (73.3%), and cefuroxime 21 (70%). Among Gram-positive organisms, Enterococcus species showed that a resistance for high-level gentamicin and penicillin was 66.6%. Raised CRP, need of MV, prior antimicrobial exposure, and longer ICU stay should alarm clinicians for BSI. Hence, our study highlights the associated risk factors for BSI and emphasizes adherence to hospital infection control policies and antibiotic stewardship program.

Care intervention on psychological outcomes among patients admitted to intensive care unit: an umbrella review of systematic reviews and meta-analyses

BackgroundNumerous studies have explored care interventions to improve the psychological outcome of intensive care unit (ICU) patients, but inconclusive evidence makes it difficult for decision-makers, managers, and clinicians to get familiar with all available literature and find appropriate interventions. This umbrella review aimed to analyze the relationship between care intervention and psychological outcomes of ICU patients based on existing systematic reviews.MethodsAn umbrella review of evidence across systematic reviews and meta-analyses published between 1987 and 2023 was undertaken. We systematically searched reviews that examined the association between care intervention and the improvement of adverse psychological outcomes in ICU patients using PubMed, EMBASE, Web of Science, Cochrane Library, and manual reference screening. The measurement tool (AMSTAR 2) was applied to evaluate the methodological quality of included studies. The excess significance bias, between-study heterogeneity expressed by I2, small-study effect, and evidence class were estimated.ResultsA total of 5110 articles were initially identified from the search databases and nine of them were included in the analysis. By applying standardized criteria, only weak evidence was observed in 13 associations, even though most included reviews were of moderate to high methodological quality. These associations pertained to eight interventions (music therapy, early rehabilitation, post-ICU follow-up, ICU diary, information intervention, preoperative education, communication and psychological support, surrogate decision-making) and five psychological outcomes (post-intensive care syndrome, transfer anxiety, post-traumatic stress disorder, anxiety, and depression). Weak or null association was shown among the rest of the associations (e.g., weak association between music therapy and maternal anxiety or stress level).ConclusionsThe evidence of these eight supporting interventions to improve the adverse psychological outcomes of ICU patients and caregivers was weak. Data from more and better-designed studies with larger sample sizes are needed to establish robust evidence.

Epidemiology of Intensive Care Patients Classified as a Third Sex in Australia and New Zealand

BackgroundPatient sex affects treatment and outcomes in critical illness. Previous studies of sex differences in critical illness compared female and male patients. In this study we describe the group of patients classified as a third sex admitted to intensive care units (ICUs) in Australia and New Zealand. Research questionWhat are the admission characteristics and outcomes of ICU patients classified as belonging to a third sex group, compared to patients classified female or male? Study design and methodsRetrospective observational study of admissions to 200 ICUs, recorded in the Australia and New Zealand Intensive Care Society’s Adult Patient Database 2018–2022. We undertook mixed effect logistic regression to compare hospital mortality across the sex groups, adjusted for illness severity, diagnosis, treatment limitation, year and hospital. ResultsWe examined 892,161 admissions, of whom 525 (0.06%) were classified as third sex. Patients classified as third sex were represented across all diagnostic categories, jurisdictions, and hospital types. On average, they were younger than the groups classified as female (59.2+/-20.0 years vs 61.3+/-18.4 years, p=0.02) or male (63.2+/-16.7 years, p<0.001). Patients classified as third sex were more likely to be admitted following orthopedic surgery (10.1% third sex admissions (95% CI 7.7-13.0%) vs 6.2% female (95% CI 6.1-6.3%); 4.8% male (95% CI 4.7-4.9%)) and drug overdose (8.8% third sex admissions (95% CI 6.5-11.5%) vs 4.2% female (95% CI 4.1-4.2%); 3.1% male (95% CI 3.0-3.1%)). There was no difference in the adjusted hospital mortality of patients classified as third sex compared to the other groups. InterpretationPatients classified as third sex composed a small minority of adult ICU patients. This group had a different diagnostic casemix, but similar outcomes, to the groups classified as female or male. Further characterizing a third sex group will require improved processes for recording sex and gender in health records.

The impact of COVID-19 pandemic on the indications of non-COVID-19 obstetric and gynecological admissions to the intensive care unit (ICU) and its overall consequences

Since COVID-19 outbreak caused a substantial reduction in intensive care unit (ICU) bed capacity, a significant change in triaging ICU admissions has become necessary for obstetric and gynecologic (OG) patients, as well. In the present study, we aimed to analyze the patients admitted to ICU for non-COVID-19 OG pathologies to understand the probable effects of the pandemic on demographics, admission rates and indications, complications, and the overall outcome. Medical records of patients who were admitted to ICU for OG diseases between 2018 and 2022 were reviewed. This four-year time was divided into two equal periods; Group I (March 2018 to March 2020, before the pandemic starts) and Group II (March 2020 to March 2022, during pandemic). Demographics, indications for admissions to ICU, length of stay, acute physiology and chronic health evaluation II (APACHE-II) scores and the factors contributing to their morbidity and mortality were recorded. Chi-square Kolmogorov-Smirno and Shapiro–Wilk tests were used to compare the variables. p < 0.05 was considered statistically significant. 511 patients were in Group I (61.94%) and 314 in Group II (38.06%). Between 2020 and 2022, our ICU admitted 38.56% fewer OG inpatients, compared with the pre-pandemic period (p < 0.05). While number of patients with gynecological pathologies increased (50 vs 57%), obstetric patients’ admission to ICU decreased (49 vs 42%). In gynecologic patients, postoperative complications and sepsis showed a significant rise (57 vs 69% and 7 vs 12%, p < 0.05), and most were after oncological operations (81%). There was a significant rise in numbers of pregnancy-induced hypertension and placental pathologies (29 vs 36% and 41 vs 58%, p < 0.05). Outcome of obstetric patients in ICU was good (99% survival rate). Mortality was higher in gynecologic patients (4 vs 9%, p < 0.05), correlated with the increased APACHE-II score (8 vs 10, p < 0.05). Older age and oncologic operations were the primary factors increasing mortality. Length of stay in ICU prolonged in these patients, as well (1 vs 3 days, p < 0.05). Selection of priority patients by gynecologists and intensive care specialists in cooperation, and meticulous implementation of the rule of only accepting patients with strict indications may explain the change in OG admissions during the outbreak. These findings will question the accuracy of wider indications for ICU admissions in pre-pandemic period, and help in planning the policy for future post-pandemic days.

A cross-modal clinical prediction system for intensive care unit patient outcome

Electronic Health Records (EHRs) are becoming an encyclopedia of clinical concepts, encompassing diagnoses, medications and clinical descriptions to describe patients’ health conditions. The abundance of EHR data presents unprecedented opportunities for leveraging machine learning in clinical predictive tasks. However, the complex process of acquiring healthcare data in some settings like Intensive Care Unit (ICU) gives rise to various challenges in mining EHR, such as modality diversity, heterogeneity, data silo and data quality problems, etc. In this paper, to overcome the data heterogeneity and data quality issues, we propose a Code-Text cross-modal Contrastive Learning (CTCL) framework specifically designed for predicting ICU patient outcomes. This framework leverages both structured (multi-view medical codes) and unstructured (clinical notes) EHR data to extract patient representations. To capture the complicated intra and inter interactions among medical codes, CTCL employs a multi-view graph convolution network to extract code encodings and a cross-view contrastive loss to regularize the model parameters. To enhance patient representations across different modalities, a cross-modal contrastive learning module is introduced. Experimental evaluations on the eICU-CRD database demonstrate that CTCL outperforms state-of-the-art competitors on the ICU mortality prediction task and in-hospital readmission prediction task. Furthermore, ablation studies and discussions demonstrate the effectiveness of each module of the framework.