MOHAP License Number: MAW5UUEI-201025

Peer-reviewed studies

Our research is clinically validated and evidence-based, with results published in several peer-reviewed journals. Explore our studies to learn more about the outcomes and the science driving our care model.

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Key results

GluCare Health is committed to transparency in its care model.
We remain the only provider that reports results openly and continuously. In addition, we publish the largest amount of academic research regionally.

As a patient, you can find all these results here or ask us directly for any specific
data you are seeking.

2.14%

Reduction in HbA1c

20.8%

Average GluCare app engagement

41%

Decrease in cardiovascular disease risk

Improved lipid profile

17%

Reduction in cholesterol

21%

Reduction in LDL

5.5%

Reduction in Triglycerides

High Engagement Drives Better Outcomes

Patients with 11 or more interactions over 90 days saw an average reduction of

5.5%

in HbA1c

6 Kg

weight loss

Improved
Mental Health

Reflecting lower diabetes-related
emotional distress

WHO-5
4%

Score

PAID
28%

Score

01

Our hybrid care model integrates both physical and virtual, data-driven components. The physical clinic provides in-person interactions, including direct clinician engagement, unique diagnostic tests and comprehensive blood tests that are conducted on-site. Between visits, patients are supported through a “virtual clinic,” where an expended clinical team continues care remotely. This approach enables real-time metabolic health management, facilitates behavioral modification, enhances patient engagement, optimizes risk stratification due to availability of unique data sets, and allows for more targeted, data-driven interventions.

Key findings : 
Glycemic outcomes
6.18%
HbA1c at 12 months
Prediabetes reversal
63.6%
Achieved HbA1c <5.7% by 6 months
Weight loss outcomes - by 12 months
60.9%
Achieved ≥5% weight loss
52.2%
Achieved ≥10% weight loss
Digital behavioral biomarker
53.8%
Achieved recommended steps target
71.91
average sleep score reflecting adequate sleep quality
02

This real-world study evaluated 528 adults treated within a 6-month hybrid care model using either Semaglutide or Tirzepatide, applying the new ICHOM Obesity Standard Set for outcome reporting. Both medications produced clinically meaningful improvements in weight, waist circumference, fat mass, and glycemic markers. However, Tirzepatide consistently outperformed Semaglutide across all measured parameters. The study also demonstrated that structured hybrid care, combined with data-driven titration, drives stronger and more transparent obesity outcomes.

Key findings : 

Tirzepatide produced significantly greater weight loss than Semaglutide

(Tirzepatide)
13.12 kg

mean loss at 6 months

VS

(Semaglutide)
9.54 kg

mean loss at 6 months

Superior reductions in central adiposity with Tirzepatide

(Tirzepatide)
11.34 cm

VS

(Semaglutide)
7.24 cm
(Tirzepatide)
9.67 kg

VS

(Semaglutide)
7.54 kg

All Tirzepatide groups (2.5–5 mg, 5–7.5 mg, 7.5–15 mg) achieved statistically significant weight loss, reinforcing dose-dependent robustness in a real-world setting

03

Virtual interactions were highest in the first 3 months, when patients communicated most actively with the care team. This period of dense support and feedback strongly correlated with better HbA1c outcomes, especially for those starting with poor control.

Key findings : 

Patients with poor baseline glycemic control achieved substantial HbA1c reductions (−2.4%, p<0.001), exceeding the typical effect size reported in digital-only programs. 

Outbound (provider-initiated) interactions consistently exceeded inbound ones, underscoring the importance of proactive clinician follow-up in sustaining engagement and driving outcomes.

Higher total interaction counts were independently associated with greater HbA1c improvement, even after adjusting for age, BMI, medication use, and baseline control.

04

A 10-year-old boy with type 1 diabetes developed acute hepatitis from insulin overdose and excessive glucose intake, detected early through continuous engagement, CGM monitoring, and follow-up lab tests, enabling timely intervention under the GluCare hybrid care model

Key findings : 
Liver enzymes (day of event):
ALT
280 U/L
AST
167 U/L
GGT
50 U/L
HbA1c: 6% (stable)
Outcome: Enzymes normalized; no recurrence of severe hypoglycemia
Glycemic control: TIR 77%, average glucose 113 mg/dL after intervention
05

This case study highlights the role of continuous remote monitoring using the ŌURA ring in detecting abnormal cardiac patterns—specifically frequent premature ventricular contractions (PVCs)—in a patient with T2D under GluCare’s hybrid care model

Key findings : 
Early detection

Increased resting heart rate and reduced HRV identified through the ŌURA ring triggered further investigation.

Clinical response

Prompt ECG and cardiology referral confirmed frequent PVCs; diagnosis would have been missed with standard care.

Outcome

Treatment initiated early with lifestyle modifications and medical therapy, leading to resolution of PVCs and improved heart metrics.

06

This 12‑month real‑world study analyzed outcomes in 208 adults with T2D managed via the GluCare hybrid care model—integrating digital monitoring, virtual engagement, and in-person multidisciplinary care—using International Consortium for Health Outcomes Measurement (ICHOM) standards

Key findings : 

HbA1c reduced

7.7%
6.55%

73 % achieved target control (< 7 %)

Cardiovascular & metabolic improvements

Significant reductions in blood pressure, lipid profiles, weight, and waist circumference

Medication intensification

Fewer patients required escalation, with insulin usage halved

Healthcare cost impact

Estimated annual cost savings of
US $23,485

Modelling suggests T2D complications may increase long-term costs up to 9.4‑fold over 10 years without proper control

07

This study assessed the use of AI-based retinal imaging (Ret-CAC) to stratify cardiovascular risk in 115 adults with T2D and no prior CVD

Key findings : 

25.2%

high risk

36.5%

moderate

38.3%

low risk
High risk linked to
Adjusted predictors
Age
OR 1.36
eGFR
OR 0.96
Female sex
OR 0.04

protective

08

This 6‑month retrospective observational study evaluated the effectiveness of combining GLP‑1 (semaglutide) and dual GIP/GLP‑1 (tirzepatide) receptor agonists with a continuous, digitally delivered behavioral-change model by an integrated care team (Zone.Health program) in adults with obesity and metabolic syndrome

Key findings : 
Waist circumference reduction:
Tirzepatide
–18.08 cm
Semaglutide
–13.04 cm (P < .001)
Triglycerides:
Tirzepatide
 –64.42 mg/dL
Semaglutide
–70.70 mg/dL
Improved metabolic markers:

Greater reductions in fasting glucose, blood pressure, and lipids in the tirzepatide group.

09

This study evaluates the effectiveness of a hybrid care model incorporating continuous glucose monitoring (CGM) and personalized engagement for managing diabetes during Ramadan fasting

Key findings : 
TIR improvements during
Ramadan fasting :
TYPE 2 DIABETES

83.13% → 85.12%

TYPE 1 DIABETES

65.17% → 70.50%

Reduction in
Thrombocytopenia-absent radius :
TYPE 2 DIABETES

15.50% → 14.63%

TYPE 1 DIABETES

33.00% → 27.50%

Significant impact of engagement :
Patients with ≥5 virtual interactions
had TIR improvement of

+5.00% (p=0.018)

Patients with <5
virtual interactions had TIR of

-1.57%

Comparison to standard care :
Structured Continuous Ramadan
Nutrition Therapy achieved a TIR of

82.1%

Standard Care Therapy
achieved a TIR of

61.8%

10

The findings of this study underscore the potential of integrating GLP-1 medications with digitally delivered multidisciplinary engagement to optimize cardiovascular health outcomes

Key findings : 
12.3%

reduction in 10-year ASCVD risk

Baseline : 
2.92 ± 2.86 → 2.56 ± 2.83 (p = 0.024).

13%

weight and BMI reduction

Significant decrease in weight and BMI
(p < 0.001).

Improvements in key CVD markers :
-15
LDL
-26
Triglycerides
-12
Total cholesterol
(all p < 0.001)
23%

fat mass reduction

Combined impact of GLP-1 agonists and digital lifestyle interventions.

11

The findings of this study demonstrate significant improvements in glycemic control, cardiovascular risk factors, and overall quality of life

Key findings : 
0.9%

reduction in 10-year ASCVD risk

Baseline :
7.66% → 6.76% (p=0.038)

BMI and waist circumference reduction :
BMI Circumference

29.64 → 27.96
(p=0.018)

Waist Circumference

103.07 cm → 97.25 cm
(p=0.003)

Improved lipid and liver profiles :
LDL

8.06 mg/dL
(p=0.028)

Triglycerides

-37.60 mg/dL
(p=0.038)

ALT

26.72 → 18.46.

Enhanced patient engagement :
192.62

total interactions per patient

117.81

outgoing

74.81

incoming

facilitated by digital tools and continuous monitoring.

Improved mental health scores :
WHO-5
23.50

Increased

PHQ-9
1.67

Decreased

PAID
1.33

Lowered

12

The findings of this study demonstrate significant improvements in glycemic control, cardiovascular risk factors, and overall quality of life

Key findings : 
Global need

Addresses the rising diabetes burden

Innovative approach

Combines physical clinics with continuous digital engagement

Proven results

Significant health gains within 3 months

Future focus

Overcoming scalability and adoption hurdles

13

Zone.Health’s 6-month program, combining GLP-1 therapy, lifestyle changes, and digital tools, delivered remarkable outcomes in fatty liver disease management

Key findings : 
17.4%

MASH

10.2%

MASLD

Patients achieved reversal to normal ranges within 3 months

Weight
20.6%

Dropped

Fat mass
14.1%

Reduced

Total Cholesterol
20.6%

Dropped

ALT Levels
20.6%

Reduced

UAP
5.3%

Decreased

14

Both medications, as part of a hybrid program including pharmacotherapy, dietary guidance, and behavioral counseling, resulted in significant improvements in clinical parameters, with tirzepatide demonstrating superior effectiveness over semaglutide

Key findings : 
Significant reductions in weight, fat mass, and cholesterol, with tirzepatide showing greater effectiveness in reducing waist circumference 
-7.5%
-4.9%
p=0.025
Tirzepatide led to more substantial decreases in HbA1c levels
-5.7%
-3.3%
p=0.034
Uric acid levels were reduced by -3.2%
with tirzepatide
Uric Acid
3.2%

Reduced

Semaglutide saw an increase of
+11.9% (p = 0.007).
Semaglutide
11.9%

Increased

15

By integrating in-clinic visits with continuous remote monitoring and multidisciplinary engagement, the study also demonstrated significant improvements in glycemic control, blood pressure, and cardiovascular risk

Key findings : 
21% HbA1c improvement
21%

HbA1c improvement

Baseline :
8.63 ± 1.80 → 6.83 ± 1.58 after 6 months

7% weight loss accompanied by a 7% increase in
fat-free mass.
Weight
7%

Decreased

Fat-free mass
7%

Increased

43% cardiovascular risk reduction
43%

cardiovascular risk reduction

-7%

systolic

-7%

diastolic

Promising renal outcomes: ACR improved slightly (from 373.74 ± 651.57 to 365.47 ± 1287.07), with further studies needed for assessing long-term impact.

ACR IMPROVED
373.74 ± 651.57
365.47 ± 1287.07
16

Early results from a 6-month program demonstrate significant weight loss and metabolic improvements, with continuous remote monitoring and multidisciplinary support showing promise in managing both obesity and pre-diabetes

Key findings : 
Average weight reduction of 8%, with significant reductions in BMI, fat mass, and cholesterol
8%

weight reduction

BMI
Fat mass
Cholesterol
20% of patients lost ≥5% of body weight, 47.8% lost ≥10%, and 31.3% lost ≥15%
20% Patients
5%

Body weight

47.8% Patients
10%

Body weight

31.3% Patients
15%

Body weight

80.6% of pre-diabetic patients showed control of pre-diabetes, with HbA1c returning to normoglycemia (5.39 ± 0.27)
80.6%

patients showed control over pre-diabetes

HbA1c returned to normoglycemia

5.39 ± 0.27

The integration of digital technology and a multidisciplinary care team facilitated continuous monitoring and personalized care
17

The hybrid model proves to be more effective than traditional or digital-only approaches, underscoring the importance of patient engagement

Key findings : 
HbA1c
-2.19%

Improved

with more significant reductions seen in patients with higher baseline levels

Showed notable improvements in the case group

WEIGHT
BMI
LDL
TOTAL CHOLESTEROL
CVD
Patients with ≥11 digital interactions had a

-2.38% reduction in HbA1c

Patients with ≥11 digital interactions had a

-6.00 kg weight loss

The hybrid model, combining in-clinic visits and remote monitoring, led to more substantial clinical improvements than digital-only interventions
18

The study reveals significant improvements in glycemic control, insulin reduction, and weight loss when these therapies are integrated with a hybrid care model

Key findings : 
Prandial insulin
25.24%

Reduction

Basal insulin
29.16%

Reduction

HbA1c decreased from 8.28% to

6.95% over 3 months

Time in Range increased by

42.11% (p=0.018)

Overweight/obese patients lost an average of

5.64kg (p<0.001)

19

The findings reveal significant improvements in mental well-being, as well as key health markers, emphasizing the potential of continuous, multidisciplinary care in managing both physical and emotional challenges associated with T2D

Key findings : 
Weight
-4.0 ± 5.3

Reduction

Waist Circumference
-4.74 ± 7.8

Reduction

HbA1c
1.00 ± 1.3

Reduction

Mental health improvements:
WHO-5
4%

Increased

PAID
-28%

Decreased

PHQ9
-29%

Dropped

Hybrid care models improve both biomarkers and quality of life, addressing mental health issues often overlooked in traditional care
20

The findings highlight the variations in these glycemic measures and their impact on diabetes management, especially when continuous remote monitoring is integrated with in-clinic visits

Key findings : 
86.4%

patients showed significant
differences in HbA1c

86.4%

patients showed significant
differences in GMI

Patients with Type 1 diabetes (T1D) demonstrated a higher proportion of variation between HbA1c and GMI compared to T2D and prediabetes

differed significantly across patient groups (p < 0.001)

Hybrid care, combining in-clinic and remote monitoring, offers immediate decision-making potential for diabetes management
21

The results demonstrate that hybrid care significantly improves HbA1c, weight, and other health parameters, highlighting the benefit of continuous monitoring and remote engagement in diabetes management

Key findings : 
Hybrid care group showed a
significant reduction of

-2.19% in HbA1c

Control group showed only a
reduction of

-0.10% in HbA1c

-3.67%

Patients with a baseline HbA1c ≥ 9.0% in the hybrid group experienced a greater reduction in HbA1c than those in the control group

Patients with ≥11 remote engagements in the hybrid group showed

-2.38% reduction in HbA1c

Patients with ≥11 remote engagements in the hybrid group showed

-6.00 kg reduction in weight

22

Conducted over six months, the program demonstrated significant improvements in weight loss, glycemic control, and cardiovascular health markers

Key findings : 
-7.89 kg (-8.24%)

weight loss

2.79 unit

BMI reduction

Remission of
pre-diabetes in 80% of participants
HbA1c improved by

-2.38%

Improved fat mass and lipid
profiles
Fat mass
improved by

-5.46 kg (-12.5%)

Total cholesterol
improved by

-16.08 mg/dL (-8.3%)

16.2%

greater weight reduction compared to
STEP-2 trial

23

Findings reveal a strong association between better sleep quality and lower HbA1c levels, emphasizing the critical role of sleep in diabetes management

Key findings : 
65.6% of participants reported
poor sleep quality
PSQI score
7.91 ± 4.5
Patients with better sleep quality
had 17.4% lower HbA1c levels
Poor sleep

7.48%

Good sleep

6.18%

Shorter diabetes duration linked to
poorer sleep quality
0-5 years
More likely to have a PSQI > 5
Gender differences in sleep quality
Males reported poorer
sleep more frequently
than females
24

The findings underscore the value of personalized, technology-driven engagement in enhancing outcomes and ROI in obesity treatment

Key findings : 
Statistically significant
improvements in 3 months
-7.12 kg

weight loss

-2.51

BMI reduction

Higher engagement
improves results
Patients with ≥10 interactions lost

-7.12 kg

Less engaged
patients

-4.95 kg

Digital engagement distribution
Diet habits
related inquiries

28.8%

Medication related
inquiries

28.9%

Lifestyle
messages

21.1%

CGM and
tech issues

21.2%

25

Over a 12-month period, adherent patients demonstrated significant improvements in HbA1c, lipid profiles, and Time in Range (TIR), highlighting the limitations of traditional care and the benefits of a hyper-personalized, continuous approach

Key findings : 
HbA1c
-1.53%

Improved

Significant improvement in adherent patients compared to non-adherent (-0.18%, p=0.490)

Improved lipid
profiles
Total Cholesterol
-16.6 mg/dL
(p=0.034)
LDL
-18.65 mg/dL
(p=0.006)
TIR exceeding ADA
target
Adherent patients
achieved a mean TIR of

80%

Hybrid model
effectiveness
Demonstrated superior outcomes in
poorly controlled T2D patients compared
to traditional care.
26

The study demonstrates that patients using the Medtronic 780G AID under this model achieved significantly better glycemic outcomes than traditional self-care approaches

Key findings : 
15.58%

increase in Time in Range

Baseline : 
59.17% → 74.75% post-intervention

1.72%

reduction in HbA1c

Baseline:

8.04% → 6.75%

8.91 unit

reduction in insulin requirements

Average daily insulin usage
decreased significantly.
5-7x

more patient engagement

Hybrid model facilitated consistent
education and behavioral improvements.
27

The results show significant improvements in glycemic control, weight, and blood pressure, with a notable difference between adherent and non-adherent patients, emphasizing the importance of continuous, personalized care

Key findings : 
Significant weight loss

-4.0 ± 5.3 kg

Reduced waist circumference

-4.74 ± 7.8 cm

HbA1c levels decreased by

-1.00 ± 1.3%

Systolic BP decreased by

-3.1 ± 13.1 mg/dL

Diastolic BP decreased by

-3.4 ± 9.9 mg/dL

Reductions in HbA1c

-1.53 ± 1.5%

Reductions in total cholesterol

-16.6 ± 50.3 mg/dL

Reductions in LDL

-18.65 ± 42.6 mg/dL

The study demonstrates the effectiveness of a personalized, continuous approach, highlighting its superiority over traditional care models

28

Accurate diagnosis through antibody testing and tailored management significantly improves patient outcomes by addressing the unique pathophysiology of LADA

Key findings : 
Average delay in LADA
diagnosis was
5.72 years
with patients presenting at a mean age of 41.86 ± 5.73 years
Initial HbA1c levels
averaged
11.10 ± 2.52%
indicating poor glycemic control at the time of misdiagnosis
HbA1c levels improved
significantly within
3-6 months

Routine GAD antibody testing at GluCare led to accurate diagnosis and optimized management for all identified cases

29

This study evaluates the effectiveness of GluCare Health’s vertically integrated, hyper-personalized approach to managing type 1 diabetes and obesity using a combination of injectable Semaglutide, lifestyle modifications, and continuous remote data monitoring

Key findings : 

GluCare Health’s model resulted in an average weight loss of 7.4 kg (TWL), with 40% greater weight loss in 60% less time compared to previous studies

HbA1c
dropped by

1.02%

Semaglutide plus adjunct meds improved
weight and glucose in

18 patients

The GluCare Health platform’s integrated approach to continuous monitoring and data-driven insights led to enhanced patient compliance and outcomes

30

By combining continuous monitoring, behavioral interventions, and value-based contracts, the program demonstrated significant improvements in weight loss, metabolic parameters, and patient compliance

Key findings : 
7.88%

BMI reduction

8.13%

Weight reduction

HbA1c
 -0.48%

(p=0.0001)

Total cholesterol
-12.25%

(p=0.0008)

LDL
-8.84%

(p=0.05)

ALT
-17.72%

(p=0.05)

Fat mass -15.2%

with minimal muscle loss

Average meals logged

87/month

High compliance with program criteria : All participants adhered to engagement, food logging, and data collection requirements.

31

Findings suggest significant BMI reduction and a potential effect on nonalcoholic fatty liver disease (NAFLD) parameters through continuous monitoring and data-driven care

Key findings : 
Significant BMI reduction over

3 months  (p<0.001)

Each 1-unit BMI drop linked to

7.23 dB/m UAP reduction (p<0.05)

Liver stiffness changes were not statistically significant (p>0.1)

Moderately strong correlation (r=0.38) between BMI reduction and liver stiffness improvement

32

Findings indicate that integrating food monitoring and remote specialist guidance significantly improves BMI and HbA1c outcomes

Key findings : 
Opt-in group cut BMI by
2.89
Opt-out group cut BMI by
1.21 kg/m²
HbA1c fell
17%
in opt-in (p=0.002)
HbA1c fell
3.4%
in opt-out (p=0.117)
Opt-in participants
logged an average of
71.29 food records/month

The combination of CMM and personalized dietary guidance enhanced outcomes over traditional care

33

By combining continuous monitoring, digital health solutions, and personalized care, the intervention demonstrated significant improvements in medication management and glycemic control within a short timeframe, providing a promising, cost-effective approach to chronic disease management

Key findings : 

Significant medication reduction within 3 months: Reduction observed as early as 3 months (p = 0.002) and sustained after one year (p = 0.02).

Improved medication adherence: Enhanced patient compliance through continuous monitoring and personalized engagement.

Cost-effective solution for T2D management: Reduction in medication use paired with improved clinical biomarkers, including glycated hemoglobin levels.

Hyper-personalized care model impact: Technology-enabled interventions delivered measurable benefits in a short timeframe.

34

Results demonstrate that Continuous Metabolic Monitoring significantly improves weight loss and BMI reduction, underscoring the importance of personalized, technology-driven interventions in obesity management

Key findings : 
8.5 kg
average weight loss in CMM patients
VS
3.4 kg
in traditional care
(p < 0.05)
2.89
BMI reduction with CMM
VS
1.21
with usual care (p<0.05)

Improved patient engagement through food logging: Personalized dietary feedback facilitated better macronutrient understanding and adherence.

Holistic monitoring with CMM: Integrated tools like CGM, meal logging, and communication with healthcare providers enhanced patient outcomes.

35

This case report highlights the utility of Continuous Metabolic Monitoring (CMM) in managing type 2 diabetes and addressing acute complications such as hypoglycemia. The personalized and continuous engagement provided by the GluCare Health model enabled early detection and resolution of hypoglycemia, showcasing its potential to optimize diabetes care

Key findings : 
Low blood glucose values were detected via CGM and confirmed with home monitoring in week three of follow-up

Tirzepatide was discontinued, and the patient maintained glycemic stability with empagliflozin/metformin, avoiding further hypoglycemia
The patient achieved
Time in range (TIR)
95%
Glucose management indicator (GMI)
5.9%

Real-time feedback on nutrition, exercise, and sleep through the GluCare platform was integral to managing the patient’s condition effectively

36

The GluCare Health model demonstrated significant GV reduction, highlighting the effectiveness of continuous, personalized care in managing prediabetes

Key findings : 
GV significantly decreased from
15.7% to 13.97% (p<0.01)
GV reduction was significant in the Dexcom G6 group
17.07% to 14.77% (p=0.03)
But not in the Freestyle Libre group
13.84% to 12.90% (p=0.06)
Females showed significant GV reduction
15.16% to 13.59% (p=0.01)
Males showed improvement but did not reach statistical significance
15.74% to 14.0% (p=0.06)

Personalized feedback on nutritional choices was integral to GV reduction

37

By shifting from episodic to continuous care, RCDM demonstrated significant improvements in glycemic control and other metabolic parameters over three months 

Key findings : 
-2.38

point HbA1c reduction

RCDM opt-in group showed a significant decrease compared to the opt-out group (p < 0.001)

Improved BMI and lipid profile
BMI

Significant reduction (p = 0.046)

Triglycerides

Reduced significantly (p = 0.018)

Cardiovascular risk reduction: Marked improvement in CVD risk metrics for opt-in patients (p = 0.001)

RCDM effectiveness: Demonstrated superior results compared to standard episodic care at three months

38

The results highlight the advantages of integrating continuous monitoring, data-driven insights, and multidisciplinary engagement to enhance outcomes. Participants achieved significant weight loss and improved glycemic control in less time compared to traditional episodic care models

Key findings : 
7.4 kg

Total weight loss (TWL)
Achieved in 60% less time compared to previous studies

40%

Greater weight loss
Demonstrated improvement with Semaglutide and the hybrid care model

1.02%

HbA1c reduction
Enhanced glycemic control alongside weight management

Improved patient engagement and adherence: The hybrid model drove better compliance with treatment and lifestyle modifications

39

Initial findings from a 3-month study indicate that patient engagement with GluCare led to significant improvements in metabolic health

Key findings : 
HbA1c
-2.14%

(p=0.00013)

LDL
-17.25%

(p=0.0071)

BMI
-4.55%

(p=0.0003)

Triglycerides
-18.52%

(p=0.0165)

 Uric acid
-20.4%

(p=0.0052)