diff --git a/backend/routers/vitals.py b/backend/routers/vitals.py
index abc5b15..07007c3 100644
--- a/backend/routers/vitals.py
+++ b/backend/routers/vitals.py
@@ -330,6 +330,12 @@ def get_vitals_stats(
                 AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '30 days' THEN resting_hr END) as avg_hr_30d,
                 AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '7 days' THEN hrv END) as avg_hrv_7d,
                 AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '30 days' THEN hrv END) as avg_hrv_30d,
+                AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '7 days' THEN blood_pressure_systolic END) as avg_bp_sys_7d,
+                AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '30 days' THEN blood_pressure_systolic END) as avg_bp_sys_30d,
+                AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '7 days' THEN blood_pressure_diastolic END) as avg_bp_dia_7d,
+                AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '30 days' THEN blood_pressure_diastolic END) as avg_bp_dia_30d,
+                AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '7 days' THEN spo2 END) as avg_spo2_7d,
+                AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '30 days' THEN spo2 END) as avg_spo2_30d,
                 COUNT(*) as total_entries
             FROM vitals_log
             WHERE profile_id = %s AND date >= CURRENT_DATE - INTERVAL '%s days'
@@ -338,6 +344,20 @@ def get_vitals_stats(
         )
         stats_row = cur.fetchone()
 
+        # Get latest VO2 Max
+        cur.execute(
+            """
+            SELECT vo2_max
+            FROM vitals_log
+            WHERE profile_id = %s AND vo2_max IS NOT NULL
+            ORDER BY date DESC
+            LIMIT 1
+            """,
+            (pid,)
+        )
+        vo2_row = cur.fetchone()
+        latest_vo2 = vo2_row['vo2_max'] if vo2_row else None
+
         # Get entries for trend calculation (last 14 days)
         cur.execute(
             """
@@ -388,6 +408,13 @@ def get_vitals_stats(
             "avg_resting_hr_30d": round(stats_row['avg_hr_30d'], 1) if stats_row['avg_hr_30d'] else None,
             "avg_hrv_7d": round(stats_row['avg_hrv_7d'], 1) if stats_row['avg_hrv_7d'] else None,
             "avg_hrv_30d": round(stats_row['avg_hrv_30d'], 1) if stats_row['avg_hrv_30d'] else None,
+            "avg_bp_systolic_7d": round(stats_row['avg_bp_sys_7d'], 1) if stats_row['avg_bp_sys_7d'] else None,
+            "avg_bp_systolic_30d": round(stats_row['avg_bp_sys_30d'], 1) if stats_row['avg_bp_sys_30d'] else None,
+            "avg_bp_diastolic_7d": round(stats_row['avg_bp_dia_7d'], 1) if stats_row['avg_bp_dia_7d'] else None,
+            "avg_bp_diastolic_30d": round(stats_row['avg_bp_dia_30d'], 1) if stats_row['avg_bp_dia_30d'] else None,
+            "avg_spo2_7d": round(stats_row['avg_spo2_7d'], 1) if stats_row['avg_spo2_7d'] else None,
+            "avg_spo2_30d": round(stats_row['avg_spo2_30d'], 1) if stats_row['avg_spo2_30d'] else None,
+            "latest_vo2_max": float(latest_vo2) if latest_vo2 else None,
             "total_entries": stats_row['total_entries'],
             "trend_resting_hr": trend_hr,
             "trend_hrv": trend_hrv,