Sri Ram Pentakota

Background: Development of a prediction model using baseline characteristics of tuberculosis (TB) patients at the time of diagnosis will aid us in early identification of the high-risk groups and devise pertinent strategies accordingly. Hence, we did this study to develop a prognostic-scoring model for predicting the death among newly diagnosed drug sensitive pulmonary TB patients in South India. Methods: We undertook a longitudinal analysis of cohort data under the Regional Prospective Observational Research for Tuberculosis India consortium. Multivariable cox regression using the stepwise backward elimination procedure was used to select variables for the model building and the nomogram-scoring system was developed with the final selected model. Results: In total, 54 (4.6%) out of the 1181 patients had died during the 1-year follow-up period. The TB mortality rate was 0.20 per 1000 person-days. Eight variables (age, gender, functional limitation, anemia, leukopenia, thrombocytopenia, diabetes, neutrophil–lymphocyte ratio) were selected and a nomogram was built using these variables. The discriminatory power was 0.81 (95% confidence interval: 0.75–0.86) and this model was well-calibrated. Decision curve analysis showed that the model is beneficial at a threshold probability ~15–65%. Conclusions: This scoring system could help the clinicians and policy makers to devise targeted interventions and in turn reduce the TB mortality in India.

Background: The utility of convalescent coronavirus disease 2019 (COVID-19) plasma (CCP) in the current pandemic is not well defined. We sought to evaluate the safety and efficacy of CCP in severely or life threateningly ill COVID-19 patients when matched with a contemporaneous cohort. Methods: Patients with severe or life-threatening COVID-19 were treated with CCP according to Food and Drug Administration criteria, prioritization by an interdisciplinary team, and based on CCP availability. Individual-level matched controls (1:1) were identified from patients admitted during the prior month when no CCP was available. The safety outcome was freedom from adverse transfusion reaction, and the efficacy outcome was a composite of death or worsening O2 support. Demographic, clinical, and laboratory data were analyzed by univariate and multivariable regression analyses accounting for matched design. Results: Study patients (n = 94, 47 matched pairs) were 62% male with a mean age of 58, and 98% (90/94) were minorities (53% Hispanic, 45% Black, non-Hispanic) in our inner-city population. Seven-day composite and mortality outcomes suggested a nonsignificant benefit in CCP-treated patients (adjusted hazard ratio [aHR], 0.70; 95% CI, 0.23–2.12; P = .52; aHR, 0.23; 95% CI, 0.04–1.51; P = .13, respectively). Stratification by pretransfusion mechanical ventilation status showed no differences between groups. No serious transfusion reactions occurred. Conclusions: In this short-term matched cohort study, transfusion with CCP was safe and showed a nonsignificant association with study outcomes. Randomized and larger trials to identify appropriate timing and dosing of CCP in COVID-19 are warranted. Trial Registration: ClinicalTrials.gov Identifier: NCT04420988.

Background Obstructive sleep apnea (OSA) is increasingly prevalent in the range of 2% to 24% in the US population. OSA is a well-described predictor of pulmonary complications after elective operation. Yet, data are lacking on its effect after operations for trauma. We hypothesized that OSA is an independent predictor of pulmonary complications in patients undergoing operations for traumatic pelvic/lower limb injuries (PLLI). Methods Nationwide Inpatient Sample (2009–2013) was queried for International Classification of Diseases, Ninth Revision, Clinical Modification codes for PLLI requiring operation. Elective admissions and those with concurrent traumatic brain injury with moderate to prolonged loss of consciousness were excluded. Outcome measures were pulmonary complications including ventilatory support, ventilator-associated pneumonia, pulmonary embolism (PE), acute respiratory distress syndrome (ARDS), and respiratory failure. Multivariable logistic regression analysis was used, adjusting for OSA, age, sex, race/ethnicity, and specific comorbidities (obesity, chronic lung disease, and pulmonary circulatory disease). PResults Among the 337 333 patients undergoing PLLI operation 3.0% had diagnosed OSA. Patients with OSA had more comorbidities and were more frequently discharged to facilities. Median length of stay was longer in the OSA group (5 vs 4 days, pConclusion OSA is an independent and underappreciated predictor of pulmonary complications in those undergoing emergency surgery for PLLI. More aggressive screening and identification of OSA in trauma patients undergoing operation are necessary to provide closer perioperative monitoring and interventions to reduce pulmonary complications and improve outcomes. Level of evidence Prognostic Level IV.

Background: Coronavirus disease 2019 (COVID-19) has a substantial mortality risk with increased rates in the elderly. We hypothesized that age is not sufficient, and that frailty measured by preadmission Palliative Performance Scale would be a predictor of outcomes. Improved ability to identify high-risk patients will improve clinicians’ ability to provide appropriate palliative care, including engaging in shared decision-making about life-sustaining therapies. Aim: To evaluate whether preadmission Palliative Performance Scale predicts mortality in hospitalized patients with COVID-19. Design: Retrospective observational cohort study of patients admitted with COVID-19. Palliative Performance Scale was calculated from the chart. Using logistic regression, Palliative Performance Scale was assessed as a predictor of mortality controlling for demographics, comorbidities, palliative care measures and socioeconomic status. Setting/participants: Patients older than 18 years of age admitted with COVID-19 to a single urban public hospital in New Jersey, USA. Results: Of 443 admitted patients, we determined the Palliative Performance Scale score for 374. Overall mortality was 31% and 81% in intubated patients. In all, 36% (134) of patients had a low Palliative Performance Scale score. Compared with patients with a high score, patients with a low score were more likely to die, have do not intubate orders and be discharged to a facility. Palliative Performance Scale independently predicts mortality (odds ratio 2.89; 95% confidence interval 1.42–5.85). Conclusions: Preadmission Palliative Performance Scale independently predicts mortality in patients hospitalized with COVID-19. Improved predictors of mortality can help clinicians caring for patients with COVID-19 to discuss prognosis and provide appropriate palliative care including decisions about life-sustaining therapy.

Introduction: Older patients are more vulnerable to poor outcomes after trauma than younger patients. Sarcopenia, loss of skeletal mass, is prevalent in trauma patients admitted to the intensive care unit (ICU), and it has been shown to correlate with adverse outcomes, such as mortality and ICU days. Yet, little is known whether it predicts other outcomes. We hypothesized that sarcopenia independently predicts poor functional outcomes in older trauma patients admitted to the ICU. Methods: We performed a retrospective review of patients aged >55 admitted to a surgical ICU in a Level I trauma center for two years. Sarcopenic status was determined by measuring total skeletal muscle cross-sectional area at the L3 level on admission computed tomography (CT), normalized for height with sex-specific cutoffs. Primary outcome measures were in-hospital mortality, functional outcomes measured by the Glasgow Outcome Scale (GOS) at discharge, and discharge disposition. Multivariable logistic regression was used to determine predictors of primary outcomes. Results: Out of 230 patients, 32% were sarcopenic. The overall mortality was 20%, and 30% were discharged with poor functional outcomes. A higher proportion of sarcopenic patients among survivors had poor functional outcomes at discharge (55% vs. 30%, p=0.002). Sarcopenia was not predictive of in-hospital mortality but was an independent predictor of poor functional outcomes at discharge (OR 2.6; 95% confidence interval [CI] 1.3-5.5), adjusting for age, Glasgow Coma Scale (GCS) on admission, diagnosis of traumatic brain injury (TBI), Injury Severity Score (ISS), and the number of life-limiting illnesses. Conclusions: Sarcopenia is prevalent in geriatric trauma ICU patients and is an independent predictor of poor functional outcomes. Assessing for sarcopenia has an important potential as a prognostic tool in older trauma patients.

BACKGROUND: Palliative Care (PC) is indicated in patients with functional dependency and advanced care needs in addition to those with life-threatening conditions. Older trauma patients have PC needs due to increased risk of mortality and poor long-term outcomes. We hypothesized that older trauma patients discharged alive with poor outcomes are not easily identified nor receive PC interventions. METHODS: Prospective observational study of trauma patients 55 years or older. Patients with poor functional outcomes defined by discharge Glasgow Outcome Scale Extended (GOSE) 1–4 or death at 6-month follow-up were analyzed for rate and timing of PC interventions including goals of care conversation (GOCC), do-not-resuscitate (DNR) order, do not intubate (DNI) order, and withdrawal of life supporting measures. Logistic regression was performed for having and timing of GOCC. RESULTS: Three hundred fifteen (54%) of 585 patients had poor outcomes. Of patients who died, 94% had GOCC compared with 31% of patients who were discharged with GOSE 3 or 4. In patients who died, 85% had DNR order, 18% had DNI order, and 56% had withdrawal of ventilator. Only 24% and 9% of patients with GOSE of 3 or 4, respectively, had DNR orders. Fifty percent of the patients who were dead at 6-month follow-up had GOCC during initial hospitalization. The median time to DNR in patients that died was 2 days compared with 5 days and 1 day in GOSE 3 and 4 (p = 0.046). Age, injury severity scale, and preexisting limited physiological reserve were predictive of having a GOCC. CONCLUSION: The PC utilization was very high for older trauma patients who died in hospital. In contrast, the majority of those who were discharged alive, but with poor outcomes, did not have PC. Development of triggers to identify older trauma patients, who would benefit from PC, could close this gap and improve quality of care and outcomes.

BACKGROUND: Older trauma patients have increased risk of adverse in-hospital outcomes. We previously demonstrated that low preinjury Palliative Performance Scale (PPS) independently predicted poor discharge outcomes. We hypothesized that low PPS would predict long-term outcomes in older trauma patients. METHODS: Prospective observational study of trauma patients aged ≥55 years admitted between July 2016 and April 2018. Preinjury PPS was assessed at admission; low PPS was defined as 70 or less. Primary outcomes were mortality and functional outcomes, measured by Extended Glasgow Outcome Scale (GOSE), at discharge and 6 months. Poor functional outcomes were defined as GOSE score of 4 or less. Secondary outcomes were patient-reported outcomes at 6 months: EuroQol-5D and 36-Item Short Form Survey. Adjusted relative risks (aRRs) were obtained for each primary outcome using multivariable modified Poisson regression, adjusting for PPS, age, race/ethnicity, sex, and injury severity. RESULTS: In-hospital data were available for 516 patients; mean age was 70 years and median Injury Severity Score was 13. Thirty percent had low PPS. Six percent (n = 32) died in the hospital, and half of the survivors (n = 248) had severe disability at discharge. Low PPS predicted hospital mortality (aRR, 2.6; 95% confidence interval [CI], 1.2–5.3) and poor outcomes at discharge (aRR, 2.0; 95% CI, 1.7–2.3). Six-month data were available for 176 (87%) of 203 patients who were due for follow-up. Functional outcomes improved in 64% at 6 months. However, 63% had moderate to severe pain, and 42% moderate to severe anxiety/depression. Mean GOSE improved less over time in low PPS patients (7% vs. 24%; p < 0.01). Low PPS predicted poor functional outcomes at 6 months (aRR, 3.1; 95% CI, 1.8–5.3) while age and Injury Severity Score did not. CONCLUSION: Preinjury PPS predicts mortality and poor outcomes at discharge and 6 months. Despite improvement in function, persistent pain and anxiety/depression were common. Low PPS patients fail to improve over time compared to high PPS patients. Preinjury PPS can be used on admission for prognostication of short- and long-term outcomes and is a potential trigger for palliative care in older trauma patients. LEVEL OF EVIDENCE: Prognostic study, Therapeutic level IV.

Background: End-stage renal disease (ESRD) is a life-limiting condition that is often complicated by acute abdominal emergency. Palliative care (PC) has been shown to improve the quality of life in patients with serious illness and yet is underutilized. We hypothesize that ESRD patients with abdominal emergency have high unmet PC needs. Objective: To characterize the outcomes of ESRD patients with acute surgical abdomen, define PC utilization patterns, and identify areas of unmet PC needs. Design: Retrospective study querying the National Inpatient Sample database (2009–2013). Setting and Subjects: Subjects were identified using ICD-9 codes for those aged ≥50 with preexisting diagnosis of ESRD with an acute abdominal emergency diagnosis of gastrointestinal perforation, obstruction, or ischemia. Measurements: Outcomes included PC rate, in-hospital mortality, discharge disposition, and intensity of care. Multivariable logistic regression analysis was used to identify predictors of PC. Results: A total of 9363 patients met the inclusion criteria; 24% underwent surgery, 16% died in hospital, and 43% were discharged to dependent living. Among in-hospital deaths, 23% received PC. Only 4% of survivors with dependent discharge received PC. Surgical mortality was 26%. PC was less utilized in surgical patients than nonsurgical patients. PC was associated with shorter hospital stay. Predictors of PC included increasing age, severity of underlying illness, white race, teaching hospitals, and the Western region. Conclusions: Patients with ESRD admitted for acute abdominal emergency have high risk for mortality and functional dependence. Despite this, few receive PC and have a high utilization of nonbeneficial life support at the end of life.