diff --git a/python/sglang/srt/layers/attention/nsa_backend.py b/python/sglang/srt/layers/attention/nsa_backend.py
index 0c80774274d1..b83e0ad1595a 100644
--- a/python/sglang/srt/layers/attention/nsa_backend.py
+++ b/python/sglang/srt/layers/attention/nsa_backend.py
@@ -21,6 +21,7 @@
     NSA_FUSE_TOPK,
     compute_nsa_seqlens,
 )
+from sglang.srt.layers.attention.trtllm_mla_backend import _concat_mla_absorb_q_general
 from sglang.srt.layers.dp_attention import get_attention_tp_size
 from sglang.srt.model_executor.forward_batch_info import ForwardBatch, ForwardMode
 from sglang.srt.utils import is_hip
@@ -911,7 +912,7 @@ def forward_extend(
 
         if NSA_PREFILL_IMPL == "tilelang":
             if q_rope is not None:
-                q_all = torch.cat([q_nope, q_rope], dim=-1)
+                q_all = _concat_mla_absorb_q_general(q_nope, q_rope)
             return self._forward_tilelang(
                 q_all=q_all,
                 kv_cache=kv_cache,
@@ -921,7 +922,7 @@ def forward_extend(
             )
         elif NSA_PREFILL_IMPL == "flashmla_sparse":
             if q_rope is not None:
-                q_all = torch.cat([q_nope, q_rope], dim=-1)
+                q_all = _concat_mla_absorb_q_general(q_nope, q_rope)
 
             # NSA_FLASHMLA_BACKEND_DECODE_COMPUTE_FP8 has no effect here,
             # because the flashmla_sparse kernel doesn't support fp8 compute
@@ -947,7 +948,7 @@ def forward_extend(
             )
         elif NSA_PREFILL_IMPL == "flashmla_kv":
             if q_rope is not None:
-                q_all = torch.cat([q_nope, q_rope], dim=-1)
+                q_all = _concat_mla_absorb_q_general(q_nope, q_rope)
             return self._forward_flashmla_kv(
                 q_all=q_all,
                 kv_cache=kv_cache,
@@ -1031,7 +1032,7 @@ def forward_decode(
 
         if NSA_DECODE_IMPL == "flashmla_sparse":
             if q_rope is not None:
-                q_all = torch.cat([q_nope, q_rope], dim=-1)
+                q_all = _concat_mla_absorb_q_general(q_nope, q_rope)
             return self._forward_flashmla_sparse(
                 q_all=q_all,
                 kv_cache=kv_cache,
@@ -1041,7 +1042,7 @@ def forward_decode(
             )
         elif NSA_DECODE_IMPL == "flashmla_kv":
             if q_rope is not None:
-                q_all = torch.cat([q_nope, q_rope], dim=-1)
+                q_all = _concat_mla_absorb_q_general(q_nope, q_rope)
             return self._forward_flashmla_kv(
                 q_all=q_all,
                 kv_cache=kv_cache,
@@ -1054,7 +1055,7 @@ def forward_decode(
             )
         elif NSA_DECODE_IMPL == "tilelang":
             if q_rope is not None:
-                q_all = torch.cat([q_nope, q_rope], dim=-1)
+                q_all = _concat_mla_absorb_q_general(q_nope, q_rope)
             return self._forward_tilelang(
                 q_all=q_all,
                 kv_cache=kv_cache,