Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Michelle N. Gong is active.

Publication


Featured researches published by Michelle N. Gong.


Critical Care | 2013

Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury

Kianoush Kashani; Ali Al-Khafaji; Thomas Ardiles; Antonio Artigas; Sean M. Bagshaw; Max Bell; Azra Bihorac; Robert H. Birkhahn; Cynthia M. Cely; Lakhmir S. Chawla; Danielle L. Davison; Thorsten Feldkamp; Lui G. Forni; Michelle N. Gong; Kyle J. Gunnerson; Michael Haase; James Hackett; Patrick M. Honore; Eric Hoste; Olivier Joannes-Boyau; Michael Joannidis; Patrick K. Kim; Jay L. Koyner; Daniel T. Laskowitz; Matthew E. Lissauer; Gernot Marx; Peter A. McCullough; Scott Mullaney; Marlies Ostermann; Thomas Rimmelé

IntroductionAcute kidney injury (AKI) can evolve quickly and clinical measures of function often fail to detect AKI at a time when interventions are likely to provide benefit. Identifying early markers of kidney damage has been difficult due to the complex nature of human AKI, in which multiple etiologies exist. The objective of this study was to identify and validate novel biomarkers of AKI.MethodsWe performed two multicenter observational studies in critically ill patients at risk for AKI - discovery and validation. The top two markers from discovery were validated in a second study (Sapphire) and compared to a number of previously described biomarkers. In the discovery phase, we enrolled 522 adults in three distinct cohorts including patients with sepsis, shock, major surgery, and trauma and examined over 300 markers. In the Sapphire validation study, we enrolled 744 adult subjects with critical illness and without evidence of AKI at enrollment; the final analysis cohort was a heterogeneous sample of 728 critically ill patients. The primary endpoint was moderate to severe AKI (KDIGO stage 2 to 3) within 12 hours of sample collection.ResultsModerate to severe AKI occurred in 14% of Sapphire subjects. The two top biomarkers from discovery were validated. Urine insulin-like growth factor-binding protein 7 (IGFBP7) and tissue inhibitor of metalloproteinases-2 (TIMP-2), both inducers of G1 cell cycle arrest, a key mechanism implicated in AKI, together demonstrated an AUC of 0.80 (0.76 and 0.79 alone). Urine [TIMP-2]·[IGFBP7] was significantly superior to all previously described markers of AKI (P <0.002), none of which achieved an AUC >0.72. Furthermore, [TIMP-2]·[IGFBP7] significantly improved risk stratification when added to a nine-variable clinical model when analyzed using Cox proportional hazards model, generalized estimating equation, integrated discrimination improvement or net reclassification improvement. Finally, in sensitivity analyses [TIMP-2]·[IGFBP7] remained significant and superior to all other markers regardless of changes in reference creatinine method.ConclusionsTwo novel markers for AKI have been identified and validated in independent multicenter cohorts. Both markers are superior to existing markers, provide additional information over clinical variables and add mechanistic insight into AKI.Trial registrationClinicalTrials.gov number NCT01209169.


Critical Care Medicine | 2005

Clinical predictors of and mortality in acute respiratory distress syndrome: potential role of red cell transfusion.

Michelle N. Gong; B. Taylor Thompson; Paige L. Williams; Lucille Pothier; Paul D. Boyce; David C. Christiani

Objective:Clinical predictors for acute respiratory distress syndrome (ARDS) have been studied in few prospective studies. Although transfusions are common in the intensive care unit, the role of submassive transfusion in non-trauma-related ARDS has not been studied. We describe here the clinical predictors of ARDS risk and mortality including the role of red cell transfusion. Design:Observational prospective cohort. Setting:Intensive care unit of Massachusetts General Hospital. Patients:We studied 688 patients with sepsis, trauma, aspiration, and hypertransfusion. Interventions:None. Measurements and Main Results:Two hundred twenty-one (32%) subjects developed ARDS with a 60-day mortality rate of 46%. Significant predictors for ARDS on multivariate analyses included trauma (adjusted odds ratio [ORadj] 0.22, 95% confidence interval [CI] 0.09–0.53), diabetes (ORadj 0.58, 95% CI 0.36–0.92), direct pulmonary injury (ORadj 3.78, 95% CI 2.45–5.81), hematologic failure (ORadj 1.84, 95% CI 1.05–3.21), transfer from another hospital (ORadj 2.08, 95% CI 1.33–3.25), respiratory rate >33 breaths/min (ORadj 2.39, 95% CI 1.51–3.78), hematocrit >37.5% (ORadj 1.77, 95% CI 1.14–2.77), arterial pH <7.33 (ORadj 2.00, 95% CI 1.31–3.05), and albumin ≤2.3 g/dL (ORadj 1.80, 95% CI 1.18–2.73). Packed red blood cell transfusion was associated with ARDS (ORadj 1.52, 95% CI 1.00–2.31, p = .05). Significant predictors for mortality in ARDS included age (ORadj 1.96, 95% CI 1.50–2.53), Acute Physiology and Chronic Health Evaluation III score (ORadj 1.78, 95% CI 1.16–2.73), trauma (ORadj 0.075, 95% CI 0.006–0.96), corticosteroids before ARDS (ORadj 4.65, 95% CI 1.47–14.7), and arterial pH <7.22 (ORadj 2.32, 95% CI 1.02–5.25). Packed red blood cell transfusions were associated with increased mortality in ARDS (ORadj 1.10 per unit transfused; 95% CI 1.04–1.17) with a significant dose-dependent response (p = .02). Conclusions:Important predictors for the development of and mortality in ARDS were identified. Packed red blood cell transfusion was associated with an increased development of and increased mortality in ARDS.


American Journal of Respiratory and Critical Care Medicine | 2011

Early Identification of Patients at Risk of Acute Lung Injury: Evaluation of Lung Injury Prediction Score in a Multicenter Cohort Study

Ognjen Gajic; Ousama Dabbagh; Pauline K. Park; Adebola O. Adesanya; Steven Y. Chang; Peter C. Hou; Harry L. Anderson; J. Jason Hoth; Mark E. Mikkelsen; Nina T. Gentile; Michelle N. Gong; Daniel Talmor; Ednan K. Bajwa; Timothy R. Watkins; Emir Festic; Murat Yilmaz; Remzi Iscimen; David A. Kaufman; Annette M. Esper; Ruxana T. Sadikot; Ivor S. Douglas; Jonathan Sevransky; Michael Malinchoc

RATIONALE Accurate, early identification of patients at risk for developing acute lung injury (ALI) provides the opportunity to test and implement secondary prevention strategies. OBJECTIVES To determine the frequency and outcome of ALI development in patients at risk and validate a lung injury prediction score (LIPS). METHODS In this prospective multicenter observational cohort study, predisposing conditions and risk modifiers predictive of ALI development were identified from routine clinical data available during initial evaluation. The discrimination of the model was assessed with area under receiver operating curve (AUC). The risk of death from ALI was determined after adjustment for severity of illness and predisposing conditions. MEASUREMENTS AND MAIN RESULTS Twenty-two hospitals enrolled 5,584 patients at risk. ALI developed a median of 2 (interquartile range 1-4) days after initial evaluation in 377 (6.8%; 148 ALI-only, 229 adult respiratory distress syndrome) patients. The frequency of ALI varied according to predisposing conditions (from 3% in pancreatitis to 26% after smoke inhalation). LIPS discriminated patients who developed ALI from those who did not with an AUC of 0.80 (95% confidence interval, 0.78-0.82). When adjusted for severity of illness and predisposing conditions, development of ALI increased the risk of in-hospital death (odds ratio, 4.1; 95% confidence interval, 2.9-5.7). CONCLUSIONS ALI occurrence varies according to predisposing conditions and carries an independently poor prognosis. Using routinely available clinical data, LIPS identifies patients at high risk for ALI early in the course of their illness. This model will alert clinicians about the risk of ALI and facilitate testing and implementation of ALI prevention strategies. Clinical trial registered with www.clinicaltrials.gov (NCT00889772).


American Journal of Respiratory and Critical Care Medicine | 2014

Validation of Cell-Cycle Arrest Biomarkers for Acute Kidney Injury Using Clinical Adjudication

Azra Bihorac; Lakhmir S. Chawla; Andrew D. Shaw; Ali Al-Khafaji; Danielle L. Davison; George E. DeMuth; Robert L. Fitzgerald; Michelle N. Gong; Derrel D. Graham; Kyle J. Gunnerson; Michael Heung; Saeed A. Jortani; Eric C. Kleerup; Jay L. Koyner; Kenneth Krell; Jennifer LeTourneau; Matthew E. Lissauer; James R. Miner; H. Bryant Nguyen; Luis M. Ortega; Wesley H. Self; Richard Sellman; Jing Shi; Joely A. Straseski; James E. Szalados; Scott T. Wilber; Michael G. Walker; Jason Wilson; Richard G. Wunderink; Janice L. Zimmerman

RATIONALE We recently reported two novel biomarkers for acute kidney injury (AKI), tissue inhibitor of metalloproteinases (TIMP)-2 and insulin-like growth factor binding protein 7 (IGFBP7), both related to G1 cell cycle arrest. OBJECTIVES We now validate a clinical test for urinary [TIMP-2]·[IGFBP7] at a high-sensitivity cutoff greater than 0.3 for AKI risk stratification in a diverse population of critically ill patients. METHODS We conducted a prospective multicenter study of 420 critically ill patients. The primary analysis was the ability of urinary [TIMP-2]·[IGFBP7] to predict moderate to severe AKI within 12 hours. AKI was adjudicated by a committee of three independent expert nephrologists who were masked to the results of the test. MEASUREMENTS AND MAIN RESULTS Urinary TIMP-2 and IGFBP7 were measured using a clinical immunoassay platform. The primary endpoint was reached in 17% of patients. For a single urinary [TIMP-2]·[IGFBP7] test, sensitivity at the prespecified high-sensitivity cutoff of 0.3 (ng/ml)(2)/1,000 was 92% (95% confidence interval [CI], 85-98%) with a negative likelihood ratio of 0.18 (95% CI, 0.06-0.33). Critically ill patients with urinary [TIMP-2]·[IGFBP7] greater than 0.3 had seven times the risk for AKI (95% CI, 4-22) compared with critically ill patients with a test result below 0.3. In a multivariate model including clinical information, urinary [TIMP-2]·[IGFBP7] remained statistically significant and a strong predictor of AKI (area under the curve, 0.70, 95% CI, 0.63-0.76 for clinical variables alone, vs. area under the curve, 0.86, 95% CI, 0.80-0.90 for clinical variables plus [TIMP-2]·[IGFBP7]). CONCLUSIONS Urinary [TIMP-2]·[IGFBP7] greater than 0.3 (ng/ml)(2)/1,000 identifies patients at risk for imminent AKI. Clinical trial registered with www.clinicaltrials.gov (NCT 01573962).


Chest | 2010

Clinical Characteristics and Outcomes of Sepsis-Related vs Non-Sepsis-Related ARDS

Chau-Chyun Sheu; Michelle N. Gong; Rihong Zhai; Feng Chen; Ednan K. Bajwa; Peter Clardy; Diana Gallagher; B. Taylor Thompson; David C. Christiani

BACKGROUND ARDS may occur after either septic or nonseptic injuries. Sepsis is the major cause of ARDS, but little is known about the differences between sepsis-related and non-sepsis-related ARDS. METHODS A total of 2,786 patients with ARDS-predisposing conditions were enrolled consecutively into a prospective cohort, of which 736 patients developed ARDS. We defined sepsis-related ARDS as ARDS developing in patients with sepsis and non-sepsis-related ARDS as ARDS developing after nonseptic injuries, such as trauma, aspiration, and multiple transfusions. Patients with both septic and nonseptic risks were excluded from analysis. RESULTS Compared with patients with non-sepsis-related ARDS (n = 62), patients with sepsis-related ARDS (n = 524) were more likely to be women and to have diabetes, less likely to have preceding surgery, and had longer pre-ICU hospital stays and higher APACHE III (Acute Physiology and Chronic Health Evaluation III) scores (median, 78 vs 65, P < .0001). There were no differences in lung injury score, blood pH, Pao(2)/Fio(2) ratio, and Paco(2) on ARDS diagnosis. However, patients with sepsis-related ARDS had significantly lower Pao(2)/Fio(2) ratios than patients with non-sepsis-related ARDS patients on ARDS day 3 (P = .018), day 7 (P = .004), and day 14 (P = .004) (repeated-measures analysis, P = .011). Compared with patients with non-sepsis-related ARDS, those with sepsis-related had a higher 60-day mortality (38.2% vs 22.6%; P = .016), a lower successful extubation rate (53.6% vs 72.6%; P = .005), and fewer ICU-free days (P = .0001) and ventilator-free days (P = .003). In multivariate analysis, age, APACHE III score, liver cirrhosis, metastatic cancer, admission serum bilirubin and glucose levels, and treatment with activated protein C were independently associated with 60-day ARDS mortality. After adjustment, sepsis-related ARDS was no longer associated with higher 60-day mortality (hazard ratio, 1.26; 95% CI, 0.71-2.22). CONCLUSION Sepsis-related ARDS has a higher overall disease severity, poorer recovery from lung injury, lower successful extubation rate, and higher mortality than non-sepsis-related ARDS. Worse clinical outcomes in sepsis-related ARDS appear to be driven by disease severity and comorbidities.


European Respiratory Journal | 2006

Interleukin-10 polymorphism in position -1082 and acute respiratory distress syndrome.

Michelle N. Gong; B. T. Thompson; Paige L. Williams; Wei Zhou; M. Z. Wang; Lucille Pothier; David C. Christiani

The GG genotype of the interleukin (IL)-10 promoter polymorphism in position -1082 (-1082GG) has been associated with increased IL-10 production. The current authors hypothesised that the -1082GG genotype is associated with the development of, and outcomes in, acute respiratory distress syndrome (ARDS). A nested case–control study was conducted in 211 Caucasian cases of ARDS and 429 controls who were admitted to an intensive care unit with sepsis, trauma, aspiration or massive transfusions. Cases were followed for organ failure and 60-day mortality. The -1082GG genotype was associated with the development of ARDS, but only in the presence of a significant interaction between the -1082GG genotype and age. Among patients with ARDS, the -1082GG genotype was associated with decreased severity of illness on admission, lower daily organ dysfunction scores and lower 60-day mortality. In conclusion, the high interleukin-10-producing -1082GG genotype may be associated with variable odds for acute respiratory distress syndrome development depending on age. Among those with acute respiratory distress syndrome, the -1082GG genotype is associated with lower mortality and organ failure. Further studies are needed to confirm these findings.


Critical Care Medicine | 2007

Pre-B-cell colony-enhancing factor gene polymorphisms and risk of acute respiratory distress syndrome.

Ednan K. Bajwa; Chu Ling Yu; Michelle N. Gong; B. Taylor Thompson; David C. Christiani

Objective:Pre-B-cell colony-enhancing factor (PBEF) levels are elevated in bronchoalveolar lavage fluid and serum of patients with acute lung injury. There are several suspected functional polymorphisms of the corresponding PBEF gene. We hypothesized that variations in PBEF gene polymorphisms alter the risk of developing acute respiratory distress syndrome (ARDS). Design:Nested case-control study. Setting:Tertiary academic medical center. Patients:We studied 375 patients with ARDS and 787 at-risk controls genotyped for the PBEF T-1001G and C-1543T polymorphisms. Interventions:None. Measurements and Main Results:Patients with the -1001G (variant) allele had significantly greater odds of developing ARDS than wild-type homozygotes (odds ratio, 1.35; 95% confidence interval, 1.02–1.78). Patients with the -1543T (variant) allele did not have significantly different odds of developing ARDS than wild-type homozygotes (odds ratio, 0.86; 95% confidence interval, 0.65–1.13). When analysis was stratified by ARDS risk factor, -1543T was associated with decreased odds of developing ARDS in septic shock patients (odds ratio, 0.66; 95% confidence interval, 0.45–0.97). Also, -1001G was associated with increased hazard of intensive care unit mortality, whereas -1543T was associated with decreased hazard of 28-day and 60-day ARDS mortality, as well as shorter duration of mechanical ventilation. Similar results were found in analyses of the related GC (-1001G:-1543C) and TT (-1001T:-1543T) haplotypes. Conclusions:The PBEFT-1001G variant allele and related haplotype are associated with increased odds of developing ARDS and increased hazard of intensive care unit mortality among at-risk patients, whereas the C-1543T variant allele and related haplotype are associated with decreased odds of ARDS among patients with septic shock and better outcomes among patients with ARDS.


European Respiratory Journal | 2005

308GA and TNFB polymorphisms in acute respiratory distress syndrome

Michelle N. Gong; Wei Zhou; Paige L. Williams; B. T. Thompson; Lucille Pothier; Paul D. Boyce; David C. Christiani

The −308GA and TNFB1/2 polymorphisms of the tumour necrosis factor genes have been associated with increased susceptibility to, and mortality in sepsis, although, prior studies are not consistent. Their role in acute respiratory distress syndrome (ARDS) has not been evaluated. The current authors hypothesised that the −308A allele and TNFB22 genotype would be associated with increased susceptibility to, and mortality in ARDS. The above hypothesis was investigated in a nested case-control study of 441 Caucasian controls and 212 cases admitted to an intensive care unit with sepsis, trauma, aspiration or hyper-transfusions. The −308A and TNFB1 alleles were in linkage disequilibrium. These polymorphisms were not associated with ARDS susceptibility on crude analysis. On subgroup analyses, they were associated with either increased or decreased odds of developing ARDS depending on whether the clinical risk for ARDS results in direct or indirect pulmonary injury. The −308A allele was associated with increased 60-day mortality in ARDS, with the strongest association found among younger patients. There was no association between the TNFB polymorphism and ARDS mortality. The −308GA, but not the TNFB12, polymorphism was associated with increased mortality in acute respiratory distress syndrome, but their association with acute respiratory distress syndrome susceptibility depended on the site of injury predisposing to acute respiratory distress syndrome.


Thorax | 2007

Genotypes and haplotypes of the VEGF gene are associated with higher mortality and lower VEGF plasma levels in patients with ARDS

Rihong Zhai; Michelle N. Gong; Wei Zhou; Taylor Thompson; Peter Kraft; Li Su; David C. Christiani

Background: Endothelial injury is an important prognostic factor in acute respiratory distress syndrome (ARDS). Vascular endothelial growth factor (VEGF) plays a critical role in endothelial destruction and angiogenesis. Genetic variations of the VEGF gene have been associated with VEGF production. A study was undertaken to investigate the impact of VEGF gene polymorphisms on the clinical outcomes of ARDS. Methods: Three VEGF polymorphisms (−460C/T, +405C/G and +936C/T) were determined in 1253 patients in an intensive care unit with risk factors for ARDS, 394 of whom developed ARDS. Patients were followed for assessment of 60 day survival. Plasma VEGF levels were measured in 71 patients with ARDS. Results: The +936TT (OR 4.29, 95% CI 1.12 to 16.40, p = 0.03) and +936CT+TT (OR 1.98, 95% CI 1.14 to 3.42, p = 0.01) genotypes were significantly associated with increased mortality from ARDS. Plasma VEGF levels in patients with ARDS with the +936CT+TT genotype were significantly lower than in subjects with the +936CC genotype (median 49 (IQR 16–98) pg/ml vs 112 (IQR 47–162) pg/ml, p = 0.02). At the haplotype level, haplotype TCT (−460T+405C+936T) was significantly associated with a higher rate of mortality (OR 2.89, 95% CI 1.30 to 6.43, p = 0.009) and haplotype CGT (−460C+405G+936T) was associated less strongly with increased mortality (OR 1.90, 95% CI 0.94 to 3.83, p = 0.07) in patients with ARDS. Lower plasma VEGF levels were correlated with the probability of haplotype CGT (coefficient = −0.26, p<0.05), but the same trend of correlation was not significant to haplotype TCT. Conclusions:VEGF polymorphisms may contribute to the prognosis and inter-individual variations in circulating VEGF levels in patients with ARDS.


Critical Care Medicine | 2011

Association of prehospitalization aspirin therapy and acute lung injury: results of a multicenter international observational study of at-risk patients.

Daryl J. Kor; Jason Erlich; Michelle N. Gong; Michael Malinchoc; Rickey E. Carter; Ognjen Gajic; Daniel Talmor

Objective:To evaluate the association between prehospitalization aspirin therapy and incident acute lung injury in a heterogeneous cohort of at-risk medical patients. Design:This is a secondary analysis of a prospective multicenter international cohort investigation. Setting:Multicenter observational study including 20 US hospitals and two hospitals in Turkey. Patients:Consecutive, adult, nonsurgical patients admitted to the hospital with at least one major risk factor for acute lung injury. Interventions:None. Measurements and Main Results:Baseline characteristics and acute lung injury risk factors/modifiers were identified. The presence of aspirin therapy and the propensity to receive this therapy were determined. The primary outcome was acute lung injury during hospitalization. Secondary outcomes included intensive care unit and hospital mortality and intensive care unit and hospital length of stay. Twenty-two hospitals enrolled 3855 at-risk patients over a 6-month period. Nine hundred seventy-six (25.3%) were receiving aspirin at the time of hospitalization. Two hundred forty (6.2%) patients developed acute lung injury. Univariate analysis noted a reduced incidence of acute lung injury in those receiving aspirin therapy (odds ratio [OR], 0.65; 95% confidence interval [CI], 0.46–0.90; p = .010). This association was attenuated in a stratified analysis based on deciles of aspirin propensity scores (Cochran-Mantel-Haenszel pooled OR, 0.70; 95% CI, 0.48–1.03; p = .072). Conclusions:After adjusting for the propensity to receive aspirin therapy, no statistically significant associations between prehospitalization aspirin therapy and acute lung injury were identified; however, a prospective clinical trial to further evaluate this association appears warranted.

Collaboration


Dive into the Michelle N. Gong's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Chau-Chyun Sheu

Kaohsiung Medical University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Li Su

Harvard University

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge